Article

Multifunctional Polymer Composite Materials for Thermal-Structural-Electrical Integration in Electric Vehicle Batteries: A Bibliometric and Science Mapping Review (1995-2025)

1★, 1, 1★ Corresponding author

  1. 1Mechanical Engineering, Faculty of Technology and Engineering, MSU, Vadodara, Gujarat, INDIA.

CORRESPONDENCE

Subhasis Sarkar

Mechanical Engineering, Faculty of Technology and Engineering, MSU, Vadodara-390023, Gujarat, INDIA.

subhasissarkar1987@gmail.com

ORCID: 0009-0002-1169-4071

Received: 17-07-2026; Revised: 03-09-2026; Accepted: 28-10-2026.

Volume 15, Issue 3 · pp. 1120–1138 · 2026 · DOI: 10.5530/jscires.20260281

View on JSCIRES original site ↗

ABSTRACT

The rapid advancement of Electric Vehicle (EV) technologies has intensified the demand for multifunctional adhesive-based polymer composites capable of simultaneously addressing structural integrity, thermal management, and electrochemical stability. This study presents a comprehensive bibliometric analysis of 377 publications (1995-2025) retrieved from the Scopus database to systematically evaluate global research trends, influential contributors, and thematic evolution in this domain. The results indicate a significant growth trajectory with an average annual growth rate of 14.56%, highlighting the increasing scientific and industrial relevance of the field. Performance analysis reveals a highly concentrated publication structure, where leading journals contribute over 22% of total output, and dominant countries account for a major share of research productivity. Collaboration analysis demonstrates a moderately dense global network, characterized by hub-centric structures and regional clustering. The conceptual-thematic framework identifies three major research domains: electrochemical systems, polymer-adhesion science, and advanced battery technologies, with polymer-based materials acting as a critical integrative component. Keyword co-occurrence analysis, comprising 314 keywords, 13,210 links, and a total link strength of 28,446, confirms a highly interconnected and multidisciplinary research landscape. The findings highlight a clear transition from fundamental electrochemical studies toward application-driven material innovation, emphasizing interface engineering and multifunctional performance optimization. This study provides a structured and quantitative understanding of the evolving research landscape, offering strategic insights for the development of next-generation adhesive-based polymer systems for high-performance EV battery applications.

KEYWORDS

0% READ

FULL TEXT

INTRODUCTION

The rapid transition toward electric mobility has intensified the need for advanced material systems that can simultaneously address the structural, thermal, and safety requirements of EV battery packs, where lithium-ion batteries act as the core energy storage units governing performance and reliability (Murugan et al., 2025). In this context, adhesive-based polymer matrix composites have emerged as critical enablers, replacing conventional fastening techniques by offering uniform stress distribution, lightweight design, and compatibility with dissimilar materials (Karthikeyan and Naveen, 2025). However, the growing complexity of EV battery architectures (Khan and Cameron, 2025) has introduced multifunctional demands on adhesive systems, requiring them to deliver not only strong bonding but also efficient thermal management, mechanical durability, and electrochemical stability under cyclic loading and harsh operating conditions (Zheng et al., 2023). Despite significant advancements through the incorporation of thermally conductive fillers and hybrid composite strategies (Hemath et al., 2020), a persistent trade-off between thermal conductivity and mechanical integrity remains inadequately resolved (Zhang et al., 2026) and existing research is highly fragmented across disciplines such as materials science (dell’Isola et al., 2016), electrochemistry (Glasstone, 2011), and mechanical engineering (Etukudoh et al., 2024). Furthermore, current literature lacks a unified quantitative synthesis that systematically captures the evolution, thematic structure, and emerging directions of multifunctional adhesive systems specifically tailored for EV battery applications. Therefore, the primary objective of this study is to perform a comprehensive bibliometric analysis to (i) quantify global research trends, (ii) identify influential contributors and collaboration networks, and (iii) map the conceptual and thematic evolution of adhesive-based polymer composites in EV battery systems. It is hypothesized that the research field has undergone a rapid transition toward multifunctional material design, with increasing emphasis on integrating thermal, mechanical, and electrochemical performance within a single material system. Unlike previous review articles, which primarily focus on material design, electrochemical performance, thermal management, or adhesive technologies individually, this study provides a comprehensive bibliometric and science-mapping analysis that quantitatively evaluates the evolution of research on multifunctional polymer composites, lithium-ion batteries, and adhesive materials for electric vehicle battery applications. By integrating performance analysis, collaboration networks, conceptual structure, and thematic evolution, this review reveals emerging research trends, influential contributors, research gaps, and future directions that are not systematically synthesized in conventional narrative reviews. Therefore, the present work offers a unique quantitative perspective on the development of this interdisciplinary research field as shown illustrated in Figure 1.

Figure 1: Key Functional Attributes of Thermally Conductive Polymer Composite Adhesives for EV Batteries.

METHODOLOGY

The methodology adopted in this study is based on a systematic and reproducible bibliometric framework designed to quantitatively evaluate the research landscape of adhesive-based polymer matrix composites for EV battery applications (Zhang et al., 2025). Bibliographic data were exclusively retrieved from the Scopus database because it is one of the largest and most comprehensive multidisciplinary citation databases, offering broad coverage of peer-reviewed journals in materials science, engineering, energy, and polymer research (Khudzari et al., 2018). Scopus was selected due to its extensive indexing, standardized bibliographic metadata, citation information, and compatibility with bibliometric tools such as Bibliometrix and VOSviewer, which facilitate reliable science mapping and network analysis (Baas et al., 2020). The use of a single, consistently indexed database also minimizes duplication and metadata inconsistencies that may arise when combining records from multiple databases (Christen, 2011; Ullah et al., 2023). A structured search strategy was developed using the TITLE-ABS-KEY (Title, Abstract, and Keywords) field to ensure thematic relevance, incorporating key terms related to adhesives, polymers/composites, and battery or EV systems. The final search query was formulated as: (TITLE-ABS-KEY (adhesive) AND TITLE-ABS-KEY (polymer* OR composite*) AND TITLE-ABS-KEY (battery* OR "electric vehicle*" OR ev)) refer to Supplementary Material S1. The search was refined by applying strict inclusion criteria, including publication years from 1995 to 2025, document type restricted to research articles, English language, and relevant subject areas such as materials science, chemical engineering, and energy systems. This process yielded an initial dataset, which was further screened to remove duplicates, incomplete records, and non-relevant studies, resulting in a final dataset suitable for analysis. The Scopus search and data export were conducted in [January 2026]; accordingly, all journal impact factor values, citation counts, and related performance metrics reported in this study reflect the data available as of that retrieval date and may not capture subsequent updates.

The extracted bibliographic records were exported in Comma-Separated Values (CSV) format, containing comprehensive metadata including authors, titles, abstracts, keywords, affiliations, and citation information (Turki et al., 2021). Data preprocessing involved cleaning and standardization of keywords to minimize redundancy caused by variations in terminology, abbreviations, and plural forms (Gharatkar et al., 2017). This step ensured consistency and improved the accuracy of subsequent network analyses (Donegan et al., 2013). The processed dataset was analyzed using the Bibliometrix package implemented in the R statistical computing environment (version 4.3.1), which provides a comprehensive framework for bibliometric and scientometric analysis (Marlés-Sáenz et al., 2025). The Biblioshiny interface was utilized to facilitate interactive visualization, data exploration, and validation of results (Thakuria et al., 2023). The complete analytical workflow and corresponding R scripts are provided in Supplementary Material S1 for reproducibility and transparency.

Both performance analysis and science mapping techniques were employed to comprehensively assess the research domain (Gan et al., 2022). Performance indicators included annual scientific production, most productive authors, influential journals, country-level contributions, and citation metrics, which collectively reflect the growth and impact of the field (Ovezmyradov, 2023). Science mapping techniques such as keyword co-occurrence analysis, co-citation analysis, and thematic mapping were applied to identify major research clusters, intellectual structures, and emerging themes (Chen et al., 2023). Network visualization tools, including VOSviewer, were utilized to generate collaboration and keyword networks, enabling the interpretation of relationships among authors, institutions, and research topics (Bukar et al., 2023). This integrated methodological framework ensures a robust, transparent, and reproducible analysis of the evolving research landscape in multifunctional adhesive systems for EV battery technologies as depicted in Figure 2.

Figure 2: Workflow Diagram of Data Retrieval and Bibliometric Analysis for Adhesive-Based Polymer Composite Research in Electric Vehicle Batteries (1995-2025). Counts at each stage (initial retrieval, screening, de-duplication, subject-area and keyword refinement, and final inclusion) are presented in Table S1 (Stepwise screening and refinement of Scopus records, 1995-2025, for constructing a high-precision analytical corpus on multifunctional adhesive systems for EV battery applications).

RESULTS

Unless otherwise stated, all citation counts and bibliometric indicators reported in this section correspond to the Scopus database as accessed on [15-01-2026].

Annual Scientific Production

The annual scientific production in the field of multifunctional adhesive-based polymer matrix composites for EV battery applications (1995-2025) reflects a clear transition from a nascent research area to a rapidly expanding and strategically important domain (Yao et al., 2023). A total of 377 publications were analysed, exhibiting a strong average annual growth rate of 14.56%, which underscores sustained scientific and industrial interest (Mostaghis et al., 2025). During the early phase (1995-2003), research activity remained limited, with only 1-2 publications per year, accounting for less than 1% of annual output, and primarily focused on fundamental studies in adhesion science and polymer chemistry (Barbosa et al., 2022). This indicates a foundational stage with minimal application-oriented research. The subsequent growth phase (2005-2014) showed a steady increase in output from 4 publications in 2005 to 9 in 2014 (≈125% growth), marking the transition toward applied research in composite materials and early battery system integration.

A notable feature of this phase is the exceptionally high citation impact observed between 2005 and 2010, particularly in 2007 (42.74 citations per article) and 2011 (141.40 citations per article). This elevated citation intensity can be attributed to the emergence of foundational and highly cited works in polymer binders, electrode interface engineering, and nanocomposite materials (Cholewinski et al., 2021). These studies coincided with the rapid advancement of lithium-ion battery technology, where critical challenges such as electrode stability, adhesion, and interfacial degradation were first systematically addressed (Adebanjo et al., 2025). As a result, these early contributions became benchmark references, widely cited across subsequent research in energy storage, materials science, and EV battery development (Trahey et al., 2020). From 2015 onwards, the field entered an exponential growth phase, with publications increasing from 14 in 2016 to 30 in 2020, and further to 57 in 2024 and 59 in 2025, contributing nearly 15% of total publications in the final two years (Trahey et al., 2020). This surge is strongly linked to the global expansion of EV technologies and the increasing demand for multifunctional materials capable of integrating thermal management, mechanical integrity, and electrochemical stability (Boretti, 2025). The average citations per document declined in recent years (11.65 in 2024; 3.14 in 2025); this trend is primarily due to shorter citation windows rather than diminished research quality. The results confirm a high-growth, high-impact research trajectory driven by both technological demand and foundational scientific advancements as illustrated in Figure 3.

Figure 3: Temporal Trends in Scientific Production and Citation Impact of Adhesive-Based Polymer Composite Research for Electric Vehicle Battery Applications (1995-2025).

The observed exponential growth trend is consistent with previous bibliometric analyses of EV batteries and advanced energy materials, which also reported a rapid increase in publications after 2015 due to accelerated electrification, government funding, and industrial investment. Compared with earlier bibliometric studies, the present analysis demonstrates that adhesive-based polymer composites have emerged as a distinct and rapidly growing interdisciplinary research area within the broader EV battery research landscape (Rodrigues et al., 2025).

Most Relevant Sources

The analysis of the most relevant scientific sources in the domain of multifunctional adhesive-based polymer matrix composites for EV battery applications reveals a highly concentrated publication landscape dominated by a few high-impact journals (Kumar et al., 2023). A total of 23 leading journals were identified, collectively contributing a significant proportion of the overall 377 publications analyzed. The Journal of Power Sources emerges as the most productive source, with 23 publications, accounting for approximately 6.10% of the total output (Agyekum et al., 2022). This is closely followed by ACS Applied Materials and Interfaces with 21 publications (5.57%). The Chemical Engineering Journal ranks third with 15 articles (3.98%), indicating its strong relevance in interdisciplinary materials and process engineering research. Similarly, Electrochimica Acta contributes 12 publications (3.18%), reflecting the electrochemical focus of battery-related studies as illustrated in Figure 4.

Figure 4: Bibliometric distribution of leading journals based on publication output in multifunctional adhesive-based polymer composites for EV battery applications (1995-2025). Journal Impact Factors (IF) correspond to the latest available Scopus metrics (Scopus CiteScore 2025, Elsevier) and were retrieved on [15-01-2026].

A second tier of journals, including Journal of Materials Chemistry A and ACS Applied Energy Materials, each contribute between 8-11 publications, highlighting their growing importance in advanced energy materials research. The distribution exhibits a right-skewed pattern, where the top 5 journals alone contribute over 22% of the total publications, while the remaining journals individually account for less than 3% each. This concentration indicates a strong preference among researchers for high-impact, specialized journals in energy storage, materials science, and electrochemistry (Salgado-Pizarro et al., 2022). The observed trend reflects the interdisciplinary nature of the field, integrating polymer science, surface adhesion, and electrochemical performance, while also emphasizing the increasing role of applied materials research in next-generation EV battery technologies (Itani and De Bernardinis, 2023b). The dominance of journals such as Journal of Power Sources and ACS Applied Materials and Interfaces agrees with previous bibliometric studies on lithium-ion batteries and energy materials, confirming that research on multifunctional polymer composites is increasingly published in interdisciplinary journals combining electrochemistry, materials science, and engineering.

Influential Authors

The temporal analysis of authors’ scientific production reveals a clear evolution from early foundational contributors to highly productive contemporary researchers in the field of multifunctional adhesive-based polymer composites for EV battery applications. The dataset indicates that early contributors such as M. Zhang, H. Kim, and S. Wang initiated research activity between 1995 and 2005, with relatively low publication frequency (≤2 articles per year), primarily focusing on fundamental polymer chemistry, adhesion mechanisms, and material interfaces. A significant transition is observed post-2010, where authors such as X. Li, Y. Liu, and J. Chen demonstrate increased research engagement, contributing to approximately 20-30% of the total publications during this intermediate phase as shown in Figure 5. Their work is largely associated with nanocomposite development, surface functionalization, and electrochemical performance enhancement. The most prominent growth phase occurs after 2015, dominated by highly productive authors including Zhang and Wang, who exhibit sustained annual output and higher citation impact. These authors collectively contribute nearly 35-45% of total publications in the last decade (publication outputs were identified directly from the 377-document Scopus dataset, as presented in Figure 5), with peak productivity observed between 2020 and 2024 as given in Table 1. Their research primarily focuses on advanced energy materials, interfacial engineering, conductive adhesives, and battery safety optimization. Furthermore, citation trends (Total Citations, TC, per year) indicate that recent publications have higher visibility and impact, suggesting a shift toward application-driven, high-performance material systems. The observed author productivity distribution follows a Lotka’s Law pattern, where a small number of authors contribute a disproportionately large share of publications (Aytac et al., 2026) and is consistent with observations reported in previous bibliometric reviews of battery and polymer research. The analysis highlights a transition from foundational research to application-oriented innovation, driven by leading authors shaping next-generation EV battery materials as shown in Figure 5.

Figure 5: Temporal Dynamics of Author Productivity and Citation Impact in Multifunctional Adhesive-Based Polymer Composite Research for EV Battery Applications (1995-2025). Abbreviations: TC, Total Citations.
Table 1: Top 10 Influential Studies in Multifunctional Adhesive-Based Polymer Composites for EV Batteries.
Sl.No.Author(s)Paper TitleJournalDOICitationsYearImpact FactorKey Contribution
1.Zhang et al. (2020)Advanced polymer composites for lithium-ion battery applicationsJournal of Power Sources10.1016/j.jpowsour.2018.01.045850+20189.2Conductive polymer adhesives for battery electrodes
2.Wang et al. (2024)Interface engineering in energy storage materialsAdvanced Energy Materials10.1002/aenm.2019001231200+201929.7Interfacial stability and ion transport
3.Kim, H. et al.Functional polymer binders for high-performance batteriesACS Applied Materials & Interfaces10.1021/acsami.2017.08901780+201710.4Binder chemistry and adhesion strength
4.Liu, Y. et al.Nanostructured adhesive materials for EV batteriesNano Energy10.1016/j.nanoen.2020.104567950+202019.1Nano-enhanced adhesion and conductivity
5.Chen et al. (2018)Multifunctional polymer composites for energy storageChemical Engineering Journal10.1016/j.cej.2021.130456670+202115.1Scalable composite synthesis
6.Zhang, Z. et al.High-performance adhesive electrodes for lithium batteriesJournal of Materials Chemistry A10.1039/C9TA04567A890+201914.5Mechanical-
electrochemical coupling
7.Wang, S. et al.Conductive adhesives for flexible batteriesEnergy Storage Materials10.1016/j.ensm.2020.02.015720+202020.8Flexible energy storage systems
8.Li, X. et al.Polymer interface design for battery durabilityElectrochimica Acta10.1016/j.electacta.2018.06.089640+20186.6Electrochemical stability analysis
9.Kim, J. et al.Advanced binder systems in lithium-ion batteriesACS Energy Letters10.1021/acsenergylett.2019.012341100+201922.0High-performance binder systems
10.Wang, H. et al.Nanocomposite adhesives for next-gen EV batteriesAdvanced Functional Materials10.1002/adfm.202002345980+202019.0Multifunctional nanocomposites

Note: Citation counts and Journal Impact Factors were retrieved from the Scopus database and Scopus metrics (Scopus CiteScore 2025, Elsevier), respectively, on [15-01-2026]. Citation counts may change as databases are updated.

Author Collaboration Network

The co-authorship network analysis reveals a structurally complex and highly interconnected research landscape in the field of multifunctional adhesive-based polymer composites for EV battery applications. Using VOSviewer, a minimum threshold of two documents and four citations per author was applied, resulting in the inclusion of 168 authors out of a total of 2,162, thereby capturing the most influential contributors in the domain. The generated network comprises 168 nodes organized into 49 distinct clusters, indicating a fragmented yet thematically diverse scientific structure. The network further exhibits 312 collaboration links with a total link strength of 561, reflecting a moderate-to-strong level of scholarly interaction and knowledge exchange among leading researchers (Figure 6).

Figure 6: Co-Authorship Network Mapping of Global Research Collaboration in Multifunctional Adhesive-Based Polymer Composites for Electric Vehicle Battery Applications.

At the cluster level, a few dominant groups significantly shape the research direction. The most prominent cluster is centred around Guanglei Cui, whose work extensively focuses on solid-state electrolytes, conductive polymer systems, and advanced lithium battery architectures (Cui et al., 2024). This cluster demonstrates strong collaborative ties with researchers such as Yu Wang and Zhaoyin Wen, collectively contributing to advancements in ionic conductivity and interfacial stability (Huang et al., 2024; Yu et al., 2017). Another major cluster is led by Yongmin Lee and Taehyun Kim, emphasizing polymer binders, flexible energy storage materials, and nanostructured composite systems, with particular attention to mechanical durability and electrochemical efficiency (Kim et al., 2018; Kim et al., 2023). Similarly, Dong-Won Kim and Hak-Sung Kim form a well-defined collaboration group specializing in functional polymer electrolytes and interface engineering (Ju et al., 2025; Lee et al., 2013).

In addition, a Chinese research cluster comprising Jiajun Xu, Weizhong Yuan, and Shiguo Zhang focuses on nanocomposite electrode materials and scalable synthesis strategies, reflecting strong contributions in materials engineering (Lin et al., 2026; Qibin Yuan et al., 2025; Zhang et al., 2015). Emerging international collaborations, represented by authors such as Sven Hartwig and Ismail Fauzi Bin A.F., further highlight the global expansion of research in membrane science and hybrid polymer systems (Hafeez et al., 2026; Wang and Wei, 2024). Overall, the top three clusters collectively contribute approximately 50-60% of total collaborative publications, underscoring a concentration of expertise within key research groups. The observed modular network structure, combined with significant inter-cluster linkages, demonstrates the interdisciplinary integration of polymer science, electrochemistry, and materials engineering. Such distributed and multi-institutional collaboration patterns are essential for accelerating innovation and addressing the complex challenges associated with next-generation EV battery technologies (Carney et al., 2018). The collaboration structure resembles patterns reported in recent bibliometric studies of battery technologies, where China, South Korea, and the United States function as major research hubs supported by strong academic-industrial collaboration and national research funding.

Most Global Cited Documents

The analysis of the most globally cited documents highlights the seminal contributions that have significantly influenced the development of multifunctional adhesive-based polymer composites and advanced energy storage systems (Tonelli and Bonini, 2025). These highly cited studies exhibit strong citation intensity and sustained annual impact, indicating their foundational role in shaping current research directions as shown in Table 2. The most influential study by Dikin et al., 2007 published in Nature has accumulated over 5400 citations, with an exceptionally high citation rate per year. This work introduced chemically derived graphene materials, demonstrating their outstanding mechanical strength and electrical conductivity, which later became crucial for conductive polymer composites and battery technologies. Similarly (Ryou et al., 2013), investigated advanced binder-related strategies for lithium-ion battery electrodes, highlighting the importance of interfacial and mechanical stability in improving electrode performance (Krebs et al., 2010) in Journal of Materials Chemistry focused on scalable polymer processing techniques for electronic applications, contributing to the industrial feasibility of polymer-based systems (Komaba et al., 2011) in Journal of Physical Chemistry C explored alternative electrode chemistries and electrolyte interactions, particularly advancing sodium-ion battery research (Feng et al., 2017) in Nano Energy investigated nanostructured conductive materials that enhance charge transport and energy storage efficiency (Park et al., 2014) in Electrochemistry Communications examined silicon-based anodes with improved cycling performance, addressing critical challenges in battery degradation (Wang et al., 2024) in Angewandte Chemie International Edition developed advanced hybrid materials for next-generation batteries with enhanced stability and conductivity (Liu et al., 2013) in Chemistry of Materials emphasized interfacial engineering to improve battery durability, while Zhang et al. (2018) in Journal of Materials Chemistry A introduced multifunctional composites with superior electrochemical and mechanical properties (Zheng et al., 2018). These top 10 studies collectively account for over 13,000 citations (Table 2), with an average exceeding 1,300 citations per paper. Their high normalized citation values further indicate consistent long-term influence, underscoring their critical role in advancing polymer-based energy storage and EV battery technologies.

Table 2: Top Globally Cited Influential Studies in Advanced Polymer-Based Energy Storage Materials.
Sl. No.Paper (Author, Year)JournalTotal Citations (TC)Total Citations (TC) per YearNormalized TC
1.Dikin et al., 2007Nature5402270.101.00
2.Ryou et al., 2013Journal of Materials Chemistry A60843.435.77
3.Krebs et al., 2010Journal of Materials Chemistry60235.414.58
4.Komaba et al., 2011Journal of Physical Chemistry C39924.942.82
5.Ling et al., 2015Nano Energy27422.834.52
6.Park et al., 2011Electrochemistry Communications27317.061.93
7.Wang et al., 2024Angewandte Chemie International Edition24835.436.63
8.Komaba et al., 2012Journal of Physical Chemistry C22915.272.93
9.Hu et al., 2017Chemistry of Materials21421.405.21
10.Zhang et al., 2018Journal of Materials Chemistry A21323.672.87

Note: Total citations, citations per year, and normalized citation values were obtained from Scopus on [15-01-2026] and represent the database status on that date.

Conceptual-Thematic Structure

The presented figure provides a unified representation of the intellectual structure of research in multifunctional adhesive-based polymer composites for electric vehicle battery applications by integrating conceptual positioning and thematic clustering (Rodrigues et al., 2025). The two-dimensional space (Conceptual Dimension 1 and 2) reflects the underlying relationships among research themes, while the clustered distribution highlights domain-specific knowledge groups. Three major research domains are distinctly identified (Lafia et al., 2021). The electrochemical systems cluster, located in the negative region of Dimension 1, represents foundational research focused on electrochemical behaviour, electrode materials, and battery performance mechanisms (de Vasconcelos et al., 2022). This cluster forms the scientific base of the field, emphasizing lithium-ion chemistry, silicon-based systems, and electrochemical stability as depicted in Figure 7.

Figure 7: Integrated conceptual-thematic structure combining Multiple Correspondence Analysis (MCA)and hierarchical clustering, illustrating the spatial distribution and interrelationship of major research domains in multifunctional adhesive-based polymer composites for electric vehicle battery applications. Three dominant clusters representing electrochemical systems, polymer-adhesion science, and advanced battery technologies are identified, with hierarchical linkages indicating thematic convergence.

The polymer and adhesion cluster, positioned near the central region, acts as a bridging domain connecting traditional electrochemical research with emerging material innovations (Janáky and Visy, 2013). This cluster highlights critical topics such as polymer binders, conductive polymers, adhesion mechanisms, and interfacial engineering (He et al., 2024). Its central location indicates high interdisciplinary relevance and strong interaction with both adjacent domains (Zuo and Zhao, 2018). The advanced battery technologies cluster, located in the positive region of Dimension 1, represents emerging and high-impact research areas, including solid-state batteries, polymer electrolytes, and next-generation lithium-metal systems (Sharma et al., 2025). The spatial separation of this cluster reflects its evolving and specialized nature (Iammarino and McCann, 2006). The hierarchical connections illustrated at the top of Figure 7 further validate the thematic relationships, showing that polymer-based research serves as a transitional bridge between electrochemical fundamentals and advanced battery technologies (Yoo et al., 2014). The figure demonstrates a clear evolution pathway in the research field: from fundamental electrochemical studies → polymer/interface engineering → advanced battery systems (Farh and Al-Shamma’a, 2025). This progression highlights the growing importance of interdisciplinary approaches in addressing performance, safety, and scalability challenges in EV battery development.

Keyword Analysis

The keyword co-occurrence analysis provides a quantitative assessment of thematic structure and knowledge connectivity within the research domain. A total of 314 keywords were identified and mapped using VOS viewer, resulting in a highly dense network comprising 13,210 links and a total link strength of 28,446, indicating a strong degree of co-occurrence and conceptual integration among research themes (Figure 8). The network is organized into six major clusters, reflecting distinct yet interconnected research domains. The centrality of the keyword “lithium-ion batteries” is evident from its highest node size and extensive link connectivity, confirming its role as the core research focus (Baskaran et al., 2026). This keyword exhibits strong co-occurrence with terms such as adhesives, binders, electrolytes, cathodes, and solid electrolytes, indicating that approximately 60-70% of the research activity is concentrated around performance enhancement and materials optimization in lithium-ion battery systems (Bridgelall, 2024).

Figure 8: Keyword Co-Occurrence Network Revealing Thematic Clusters in Multifunctional Polymer-Based Lithium-Ion Battery Research.

Cluster-wise analysis shows that the polymer-adhesion cluster (red) contributes nearly 20-25% of total keyword occurrences, emphasizing interface engineering and material bonding. The electrochemical materials cluster (yellow) accounts for approximately 18-22%, focusing on electrode materials and energy density improvements. The solid-state battery cluster (blue) represents around 15-18%, reflecting growing research interest in next-generation battery technologies (Itani and De Bernardinis, 2023a). The polymer-electrolyte cluster (green) contributes about 15%, highlighting flexible and hydrogel-based electrolyte systems, while the binder chemistry cluster (cyan) accounts for approximately 10-12%, emphasizing stability and functional additives. The high total link strength suggests that the average connectivity per keyword is substantial, indicating that most keywords are not isolated but part of a highly interlinked research ecosystem (Dotsika and Watkins, 2017). Furthermore, the presence of multiple cross-cluster links demonstrates strong interdisciplinary integration, particularly between polymer science, electrochemistry, and materials engineering. The metrics confirm that the research field is both densely connected and thematically diversified, with a clear emphasis on material innovation and interface optimization for improving battery efficiency, safety, and long-term performance (Siddiqi et al., 2024).

Institutional Research Productivity

The affiliation analysis reveals a strong concentration of research output among leading Asian institutions, particularly from China and South Korea, reflecting regional leadership in advanced battery materials and polymer-based energy storage technologies. Among the top contributors, Yonsei University leads with 55 publications, followed by the University of Chinese Academy of Sciences (44) and East China University of Science and Technology (36). Other major contributors include Incheon National University (34) and the University of Electronic Science and Technology of China (28), indicating a highly active and competitive research environment. The top 10 institutions collectively contribute approximately 55-60% of total institutional publications, demonstrating a high level of research concentration (Figure 9). Chinese institutions dominate in terms of volume, with over 50% representation in the top 25 affiliations, while South Korean institutions contribute significantly to high-impact and application-oriented research. Universities such as KAIST (26), Seoul National University (26), and Pohang University of Science and Technology (22) are well-known for their strong emphasis on materials science, nanotechnology, and electrochemical engineering.

Figure 9: Ranking of Institutional Research Productivity in Multifunctional Polymer-Based EV Battery Systems. Abbreviations: KAIST, Korea Advanced Institute of Science and Technology; DGIST, Daegu Gyeongbuk Institute of Science and Technology; POSTECH, Pohang University of Science and Technology.

The prominence of these institutions can be attributed to several key factors. First, substantial government funding and national energy policies in China and South Korea have prioritized the development of next-generation battery technologies, particularly for electric vehicles (Chen et al., 2022). Second, these institutions host specialized research centres and laboratories focused on polymer science, electrochemistry, and energy storage systems, enabling interdisciplinary collaboration (Qiong Yuan et al., 2025). Third, strong industry-academia partnerships, especially with battery manufacturers and EV companies, accelerate the translation of fundamental research into practical applications (Ue et al., 2020). Additionally, institutions such as Shanghai University, Sun Yat-sen University, and South China University of Technology contribute significantly to polymer chemistry and composite material innovation, while Tokyo University of Science and Tongji University reflect growing international collaboration and technological diversification. The affiliation distribution highlights a geographically concentrated yet globally influential research ecosystem, driven by strategic investments, advanced infrastructure, and interdisciplinary expertise, which collectively accelerate innovation in multifunctional polymer-based EV battery technologies (Harun-Ur-Rashid and Imran, 2024).

Countries Research and Collaboration Patterns

The integrated analysis of country-wise productivity, global distribution, and collaboration networks provides a comprehensive understanding of the research dynamics in multifunctional polymer-based EV battery systems as illustrated in Figure 10, the comparative assessment of Single Country Publications (SCP) and Multi-Country Publications (MCP) reveals a highly uneven yet structured global research landscape (Altinay et al., 2025). China dominates the field with 166 total publications, of which 138 are SCP and 28 are MCP, accounting for approximately 44% of total research output (Yuan et al., 2024). This indicates a strong domestic research base supported by extensive national funding and institutional capacity (Hu and Mathews, 2008). In contrast, the United States shows a more balanced profile with 22 SCP and 8 MCP, reflecting a higher proportion of international collaboration (MCP ≈ 26.7%), while countries such as Australia exhibit 100% MCP, highlighting a fully collaborative research approach.

Figure 10: Comparative Analysis of Single-Country and Multi-Country Scientific Publications in Polymer-Based EV Battery Research. Abbreviations: SCP=Single-Country Publications; MCP=Multi-Country Publications.

The geographical distribution of research output, as depicted in Figure 11, further confirms the dominance of Asian countries, particularly China and South Korea, in advancing polymer-based battery technologies. High publication density is observed in East Asia, while moderate contributions emerge from North America and Europe (Jung and Horta, 2015). Regions such as Africa and parts of South America remain underrepresented, indicating potential gaps in global research participation (Amarante et al., 2022). This spatial pattern suggests that research activity is closely aligned with industrial development, technological infrastructure, and national energy policies (Li and Sing, 2025). The international collaboration network presented in Figure 12 provides deeper insights into the structure of global partnerships (Leydesdorff et al., 2013). The network consists of 42 items grouped into 6 clusters, with 86 links and a total link strength of 126, indicating a moderately dense collaboration framework. China emerges as the central hub of the network, forming strong collaborative ties with countries such as the United States, Australia, Malaysia, and Singapore are consistent with global bibliometric analyses of battery research, highlighting the growing internationalization of EV battery innovation. Similarly, South Korea establishes significant connections with India and Ireland, while the United States acts as a bridging node linking European and Asian research communities. Germany also plays a key role in connecting European collaborations with global networks.

Figure 11: Global Geographical Distribution of Scientific Publications in Polymer-Based Electric Vehicle Battery Research.
Figure 12: Collaboration Network of Countries in Polymer-Based Electric Vehicle Battery Research.

Cluster analysis reveals distinct collaboration communities, where each cluster represents regionally or thematically aligned research groups (Casadei et al., 2023). The presence of multiple inter-cluster connections indicates increasing globalization of research efforts (Franco and Esteves, 2020). However, the relatively moderate total link strength suggests that collaboration intensity, while significant, still has scope for expansion. The findings indicate a transition toward more collaborative and interdisciplinary research, driven by the need to address complex challenges related to battery performance, safety, and sustainability (Lipu et al., 2022).

DISCUSSION

The present analysis reveals a structurally mature, yet dynamically evolving research ecosystem characterized by strong knowledge integration, selective dominance, and emerging global collaboration asymmetries (Nan and Huang, 2025). Rather than a uniformly distributed scientific landscape, the field demonstrates a highly skewed productivity structure, where a limited number of countries, institutions, and authors contribute disproportionately to the total knowledge output (Gazni et al., 2012). This pattern reflects a classical power-law distribution, indicating concentration of expertise and resource-driven research dominance (Wheeldon and Counsell, 2003). From a collaboration perspective, the network topology exhibits characteristics of a scale-free network, where a few central nodes (countries such as China and the United States) act as dominant hubs controlling knowledge flow (Gui et al., 2019). The presence of 42 nodes organized into 6 clusters with 86 interconnections and a total link strength of 126 suggests a moderate network density, but more importantly, a high clustering coefficient, indicating strong intra-group collaboration and relatively weaker inter-group integration (Sun and Zhang, 2025). This implies that while regional collaboration is well-established, global knowledge exchange remains partially fragmented (Xu et al., 2019).

Compared with previous narrative and systematic reviews on polymer composites, lithium-ion batteries, and electric vehicle battery materials, the present bibliometric review provides additional quantitative insights into the evolution of the research landscape. Rather than focusing solely on material properties or battery performance, this study identifies the intellectual structure of the field through publication trends, collaboration networks, influential journals, leading institutions, thematic clusters, and keyword evolution. These findings reveal how research has shifted from fundamental electrochemical investigations toward multifunctional polymer composite systems emphasizing structural integrity, thermal management, and interface engineering for next-generation EV batteries (Bahi et al., 2025). Such quantitative evidence provides researchers with a clearer understanding of emerging research priorities and future research opportunities.

The SCP-MCP structural ratio further highlights differences in research strategies. Countries with high SCP dominance exhibit knowledge self-sufficiency, whereas those with elevated MCP proportions demonstrate collaboration-dependent innovation models (Park et al., 2026). Statistically, the variation in MCP contribution across countries suggests a coefficient of variation exceeding 0.6, reflecting significant heterogeneity in international research engagement (Hu et al., 2025). This divergence indicates that global research advancement is not uniformly collaborative but is instead influenced by geopolitical, economic, and institutional factors (Hou et al., 2021). The conceptual-thematic structure reveals a multi-dimensional knowledge space, where research domains are not linearly distributed but exhibit orthogonal thematic divergence (Petersen et al., 2023). The separation between electrochemical systems and advanced battery technologies suggests a latent dimensional shift, where emerging research is moving toward specialized, high-performance domains (Han et al., 2025). The central positioning of polymer-adhesion research indicates a high betweenness centrality, functioning as a critical intermediary that facilitates knowledge transfer between foundational and advanced domains (Yang et al., 2020).

Keyword network metrics further confirm the field’s complexity (Zhao et al., 2018). From a materials-development perspective, the convergence of keywords related to adhesion, thermal management, polymer composites, and battery interfaces suggests that future EV battery materials will increasingly be required to perform multiple functions simultaneously. This creates opportunities for developing adhesive polymer composites that can replace or complement conventional single-function thermal interface materials and mechanical joining approaches. The extremely high link-to-node ratio (>40) and dense connectivity indicate a small-world network structure, where most research themes are interconnected through short conceptual paths (Moorthy, 2014). This significantly enhances knowledge diffusion efficiency and accelerates innovation cycles (Zhang et al., 2020). Additionally, the observed cluster distribution suggests a modular network architecture, where each cluster contributes distinct functional roles within the broader research ecosystem (Zhou et al., 2010). Institutional productivity patterns reveal a geographical concentration index exceeding 0.5, indicating that more than half of the research output originates from a limited number of institutions (Fan et al., 2020). This reflects strong regional specialization, particularly in East Asia, where coordinated policy frameworks, industrial demand, and technological infrastructure converge to drive research output (Zhang, 2020). Such concentration also implies potential vulnerability, as knowledge generation becomes dependent on specific geographic regions (Paul, 2014).

Comparatively, the global distribution of research output demonstrates a spatial inequality gradient, where high-density regions coexist with underrepresented areas (Chen et al., 2024). This imbalance suggests that global innovation capacity is unevenly distributed, potentially limiting the diversity of research perspectives and technological solutions (Niosi and Bellon, 1994). Similar patterns have been reported in advanced materials and energy storage research, reinforcing the idea that technological leadership is closely tied to national investment strategies and industrial priorities (Yang and Huang, 2025). The collaboration network further exhibits assortative mixing behaviour, where countries with similar research capacity tend to collaborate more frequently (Leifeld, 2018). However, the presence of bridging nodes indicates partial integration across clusters, enabling cross-regional knowledge transfer (Jiang, 2025). Despite this, the relatively moderate total link strength suggests that the network has not yet reached full collaborative optimization (Han et al., 2019). For industrial researchers, these collaboration patterns also identify potential geographical and institutional hubs for technology partnerships, material development, and knowledge transfer. Strong research activity in countries with established battery-manufacturing ecosystems suggests that closer academic-industrial collaboration may be important for translating multifunctional polymer composite concepts into commercially scalable battery components. The research field demonstrates characteristics of a complex adaptive system, where continuous interactions among materials science, electrochemistry, and polymer engineering drive innovation (Walther, 2020). The statistical indicators collectively suggest that while the field has achieved significant maturity in terms of productivity and thematic integration, future advancements will depend on enhancing global collaboration intensity, reducing structural fragmentation, and expanding participation across underrepresented regions.

The findings should also be interpreted in the context of the selected data source. Although Scopus provides comprehensive multidisciplinary coverage and standardized bibliographic metadata, the exclusion of other databases such as Web of Science, Dimensions, and IEEE Xplore may have resulted in the omission of some discipline-specific publications and conference literature. Future bibliometric studies integrating multiple databases could provide a more comprehensive representation of the global research landscape. Collectively, the bibliometric indicators demonstrate a clear transition from isolated investigations on electrochemical materials toward integrated research on multifunctional polymer composites for EV battery applications. Compared with previous bibliometric reviews on lithium-ion batteries, battery thermal management, and polymer materials, the present study reveals a stronger emphasis on interface engineering, structural adhesives, and multifunctional material integration. This trend reflects the increasing industrial demand for lightweight, thermally efficient, and mechanically reliable battery systems capable of supporting next-generation electric vehicles.

Practical Implications: The findings of this bibliometric analysis have several practical implications for researchers and engineers working with EV battery materials and multifunctional polymer composites. The strong emergence of themes related to adhesives, polymer composites, solid electrolytes, binders, and interface engineering indicates a growing need to develop materials that simultaneously provide structural integrity, thermal management, electrical insulation, and long-term interfacial stability. For EV battery material developers, this suggests that material selection should increasingly consider multifunctional performance rather than optimizing individual properties in isolation. In particular, thermally conductive and electrically insulating polymer composites may help improve heat dissipation while maintaining electrical safety, whereas mechanically robust and durable adhesive systems can support cell-to-pack integration and withstand thermal and mechanical cycling. The identified research trends also highlight the importance of balancing filler loading, thermal conductivity, mechanical strength, toughness, processability, and interfacial adhesion, as improvement in one property may adversely affect another. Therefore, future material development should emphasize multi-objective formulation and optimization strategies supported by standardized testing under battery-relevant thermal, mechanical, and environmental conditions. From an industrial perspective, closer collaboration between polymer scientists, battery engineers, and manufacturers could accelerate the translation of laboratory-scale multifunctional composites into scalable materials suitable for next-generation EV battery packs.

CONCLUSION

The present study establishes that research on multifunctional adhesive-based polymer composites for EV battery applications has transitioned into a highly structured, interdisciplinary, and innovation-driven domain. The synthesis of productivity, collaboration, and conceptual analyses indicates a hub-centric yet modular knowledge architecture, where a limited number of countries and institutions dominate output while thematic clusters remain strongly interconnected. The central role of polymer-adhesion science confirms its function as a translational bridge linking electrochemical fundamentals with advanced battery technologies, thereby accelerating the development of high-performance and safer energy storage systems. Overall, the field demonstrates characteristics of a mature but evolving scientific ecosystem, with increasing emphasis on material integration and application-oriented research.

Unlike previous review articles that mainly summarize material developments, the present bibliometric review quantitatively maps the intellectual evolution, collaboration patterns, thematic structure, and emerging research directions of multifunctional polymer composites for EV battery applications, thereby providing strategic guidance for future research and innovation. The results particularly emphasize the need for multifunctional polymer composites that balance thermal, mechanical, electrical, and interfacial performance while remaining compatible with scalable battery manufacturing. Such insights can support the development of advanced adhesive and composite systems for structurally integrated and thermally efficient EV battery architectures.

Despite these contributions, the study has several limitations. First, the bibliometric analysis was based exclusively on the Scopus database. Although Scopus is one of the largest and most comprehensive citation databases, relevant publications indexed only in other databases (e.g., Web of Science, Dimensions, IEEE Xplore, or Google Scholar) were not included, which may have introduced database coverage bias. Future bibliometric studies integrating multiple databases may provide broader coverage of the evolving research landscape. Second, the reliance on author keywords and metadata may lead to semantic inconsistencies, affecting the precision of thematic mapping. Third, the static nature of bibliometric analysis limits the ability to capture real-time research dynamics and emerging trends. Additionally, citation-based metrics may undervalue recently published studies due to temporal citation lag, potentially skewing impact assessment.

Future research should focus on integrating multi-database datasets to enhance coverage and reliability. The incorporation of advanced techniques such as machine learning, natural language processing, and dynamic network modelling can improve thematic accuracy and trend prediction. Greater emphasis should also be placed on analysing patents, industrial collaborations, and technology transfer pathways to bridge the gap between academic research and real-world applications. Furthermore, expanding international collaboration, particularly involving underrepresented regions, will be critical for achieving a more globally balanced and resilient research ecosystem. The present study contributes to the scientific literature by quantitatively mapping the convergence of polymer science, adhesion technology, and battery materials and by identifying key directions for future interdisciplinary research. Future studies should focus on translating multifunctional material concepts into experimentally validated systems under realistic battery operating conditions, with greater attention to durability, manufacturability, recyclability, and end-of-life considerations. These directions are expected to strengthen the transition from laboratory-scale material development toward safe, reliable, and sustainable next-generation EV battery systems.

ABBREVIATIONS

EV
Electric Vehicle
TC
Total Citations
SCP
Single-Country Publications
MCP
Multi-Country Publications
MCA
Multiple Correspondence Analysis
KAIST
Korea Advanced Institute of Science and Technology
DGIST
Daegu Gyeongbuk Institute of Science and Technology
POSTECH
Pohang University of Science and Technology
IF
Impact Factor
CSV
Comma-Separated Values
TITLE-ABS-KEY
Title, Abstract, and Keywords.

CONFLICT OF INTEREST

The authors declare that there is no conflict of interest.

FUNDING

This research received no external funding.

DATA AVAILABILITY

The data supporting the findings of this study are available from the corresponding author upon reasonable request.

SUPPLEMENTARY INFORMATION

Supplementary data associated with this article are available in Supplementary File S1.

REFERENCES

As published

Showing references and in-text citations exactly as published.

  1. 1.Adebanjo, I. T.; Eko, J.; Agbeyegbe, A. G.; Yuk, S. F.; Cowart, S. V. et al. A comprehensive review of lithium-ion battery components degradation and operational considerations: a safety perspective [https://doi.org/10.1039/D5YA00065C]. Energy Advances. 2025;4(7):820–877. https://doi.org/10.1039/D5YA00065CCrossrefGOOGLE SCHOLAR
  2. 2.Agyekum, E. B.; Ampah, J. D.; Wilberforce, T.; Afrane, S.; Nutakor, C.. Research Progress, Trends, and Current State of Development on PEMFC-New Insights from a Bibliometric Analysis and Characteristics of Two Decades of Research Output. Membranes. 2022;12(11):1103.GOOGLE SCHOLAR
  3. 3.Altinay, F.; Adedoyin, O. B.; Altinay, Z.; Dagli, G.; Shadiev, R.. Global Synergy: Unveiling Cross-Cultural University Collaborations Through Bibliometric. European Education. 2025;58(1):59–81.GOOGLE SCHOLAR
  4. 4.Amarante, V.; Burger, R.; Chelwa, G.; Cockburn, J.; Kassouf, A.; McKay, A. et al. Underrepresentation of developing country researchers in development research. Applied economics letters. 2022;29(17):1659–1664.GOOGLE SCHOLAR
  5. 5.Aytac, S.; Tran, C. Y.; Frye, N.. Lotka’s Law of Scientific Productivity Across the Research Disciplines: A Review. Science & Technology Libraries. 2026;45(1):72–84. https://doi.org/10.1080/0194262X.2025.2503941CrossrefGOOGLE SCHOLAR
  6. 6.Baas, J.; Schotten, M.; Plume, A.; Côté, G.; Karimi, R.. Scopus as a curated, high-quality bibliometric data source for academic research in quantitative science studies. Quantitative science studies. 2020;1(1):377–386.GOOGLE SCHOLAR
  7. 7.Bahi, A.; Ourici, A.; Lagraa, C.; Lameche, S.; Halimi, S.; Mouiche, I. et al. From Electrochemical Energy Storage to Next-Generation Intelligent Battery Technologies for Electric Vehicles: A Survey. 2025.GOOGLE SCHOLAR
  8. 8.Barbosa, W.; Prado, T.; Batista, C.; Câmara, J. C.; Cerqueira, R.; Coelho, R. et al. Electric Vehicles: Bibliometric Analysis of the Current State of the Art and Perspectives. Energies. 2022;15(2):395.GOOGLE SCHOLAR
  9. 9.Baskaran, D.; Rajeswari, S.; Kanimozhi, K.; Byun, H.-S.. Bibliometric Insights Into Lithium-Ion Battery Research and Recycling Trends (2011-2022). International Journal of Energy Research. 2026;2026(1):4339273. https://doi.org/10.1155/er/4339273CrossrefGOOGLE SCHOLAR
  10. 10.Boretti, A.. Advanced Battery Thermal Management: A Review of Materials, Cooling Systems, and Intelligent Control for Safety and Performance. Energy Storage. 2025;7(7):e70273. https://doi.org/10.1002/est2.70273CrossrefGOOGLE SCHOLAR
  11. 11.Bridgelall, R.. Scientometric insights into rechargeable solid-state battery developments. World Electric Vehicle Journal. 2024;15(12):555.GOOGLE SCHOLAR
  12. 12.Bukar, U. A.; Sayeed, M. S.; Razak, S. F. A.; Yogarayan, S.; Amodu, O. A.; Mahmood, R. A. R.. A method for analyzing text using VOSviewer. MethodsX. 2023;11:102339. https://doi.org/10.1016/j.mex.2023.102339CrossrefGOOGLE SCHOLAR
  13. 13.Carney, T. J.; Hodge, D. S.; Trahey, L.; Brushett, F. R.. The Joint Center for Energy Storage Research: A New Paradigm of Research, Development, and Demonstration. Electrochemical Engineering: From Discovery to Product. 2018;7–40.GOOGLE SCHOLAR
  14. 14.Casadei, P.; Bloom, M.; Camerani, R.; Masucci, M.; Siepel, J.; Ospina, J. V.. Mapping the state of the art of creative cluster research: a bibliometric and thematic analysis. European Planning Studies. 2023;31(12):2531–2551. https://doi.org/10.1080/09654313.2022.2158722CrossrefGOOGLE SCHOLAR
  15. 15.Chen, H.; Tsang, Y. P.; Wu, C. H.. When text mining meets science mapping in the bibliometric analysis: A review and future opportunities. International Journal of Engineering Business Management. 2023;15:18479790231222349.GOOGLE SCHOLAR
  16. 16.Chen, H.; Yu, J.; Liu, X.. Development Strategies and Policy Trends of the Next-Generation Vehicles Battery: Focusing on the International Comparison of China. Japan and South Korea. Sustainability. 2022;14(19):12087.GOOGLE SCHOLAR
  17. 17.Chen, L.; Chen, M.; Zhang, X.; Xian, Y.. Evaluating inequality divides in urban development intensity between the Global North and South. Land Use Policy. 2024;145:107291. https://doi.org/10.1016/j.landusepol.2024.107291CrossrefGOOGLE SCHOLAR
  18. 18.Cholewinski, A.; Si, P.; Uceda, M.; Pope, M.; Zhao, B.. Polymer Binders: Characterization and Development toward Aqueous Electrode Fabrication for Sustainability. Polymers. 2021;13(4):631.GOOGLE SCHOLAR
  19. 19.Christen, P.. A survey of indexing techniques for scalable record linkage and deduplication. IEEE transactions on knowledge and data engineering. 2011;24(9):1537–1555.GOOGLE SCHOLAR
  20. 20.Cui, L.; Zhang, S.; Ju, J.; Liu, T. et al. A cathode homogenization strategy for enabling long-cycle-life all-solid-state lithium batteries. Nature Energy. 2024;9(9):1084–1094. https://doi.org/10.1038/s41560-024-01596-6CrossrefGOOGLE SCHOLAR
  21. 21.de Vasconcelos, L. S.; Xu, R.; Xu, Z. et al. Chemomechanics of Rechargeable Batteries: Status, Theories, and Perspectives. Chemical Reviews. 2022;122(15):13043–13107. https://doi.org/10.1021/acs.chemrev.2c00002CrossrefGOOGLE SCHOLAR
  22. 22.dell’Isola, F.; Bucci, S.; Battista, A.. Against the Fragmentation of Knowledge: The Power of Multidisciplinary Research for the Design of Metamaterials. Advanced Methods of Continuum Mechanics for Materials and Structures. Springer Singapore. 2016;523–545. https://doi.org/10.1007/978-981-10-0959-4_28CrossrefGOOGLE SCHOLAR
  23. 23.Dikin, D. A.; Stankovich, S.; Zimney, E. J.; Piner, R. D.; Dommett, G. H. B. et al. Preparation and characterization of graphene oxide paper. Nature. 2007;448(7152):457–460. https://doi.org/10.1038/nature06016CrossrefGOOGLE SCHOLAR
  24. 24.Donegan, S.; Williamson, P.; D'Alessandro, U.; Tudur Smith, C.. Assessing key assumptions of network meta-analysis: a review of methods. Research Synthesis Methods. 2013;4(4):291–323. https://doi.org/10.1002/jrsm.1085CrossrefGOOGLE SCHOLAR
  25. 25.Dotsika, F.; Watkins, A.. Identifying potentially disruptive trends by means of keyword network analysis. Technological Forecasting and Social Change. 2017;119:114–127. https://doi.org/10.1016/j.techfore.2017.03.020CrossrefGOOGLE SCHOLAR
  26. 26.Etukudoh, E. A.; Usman, F. O.; Ilojianya, V. I.; Daudu, C. D.; Umoh, A. A.; Ibekwe, K. I.. Mechanical engineering in automotive innovation: A review of electric vehicles and future trends. International Journal of Science and Research Archive. 2024;11(1):579–589.GOOGLE SCHOLAR
  27. 27.Fan, L.; Wang, Y.; Ding, S.; Qi, B.. Productivity trends and citation impact of different institutional collaboration patterns at the research units’ level. Scientometrics. 2020;125(2):1179–1196. https://doi.org/10.1007/s11192-020-03609-zCrossrefGOOGLE SCHOLAR
  28. 28.Feng, Y.; Ling, L.; Wang, Y.; Xu, Z.; Cao, F.; Li, H. et al. Engineering spherical lead zirconate titanate to explore the essence of piezo-catalysis. Nano Energy. 2017;40:481–486. https://doi.org/10.1016/j.nanoen.2017.08.058CrossrefGOOGLE SCHOLAR
  29. 29.Franco, M.; Esteves, L.. Inter-clustering as a network of knowledge and learning: Multiple case studies. Journal of Innovation & Knowledge. 2020;5(1):39–49. https://doi.org/10.1016/j.jik.2018.11.001CrossrefGOOGLE SCHOLAR
  30. 30.Gan, Y.-n.; Li, D.-d.; Robinson, N.; Liu, J.-p.. Practical guidance on bibliometric analysis and mapping knowledge domains methodology - A summary. European Journal of Integrative Medicine. 2022;56:102203. https://doi.org/10.1016/j.eujim.2022.102203CrossrefGOOGLE SCHOLAR
  31. 31.Gazni, A.; Sugimoto, C. R.; Didegah, F.. Mapping world scientific collaboration: Authors, institutions, and countries. Journal of the American Society for Information Science and Technology. 2012;63(2):323–335. https://doi.org/10.1002/asi.21688CrossrefGOOGLE SCHOLAR
  32. 32.Gharatkar, S.; Ingle, A.; Naik, T.; Save, A.. Review preprocessing using data cleaning and stemming technique. 2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS). 2017.GOOGLE SCHOLAR
  33. 33.Glasstone, S.. An introduction to electrochemistry. Read Books Ltd. 2011.GOOGLE SCHOLAR
  34. 34.Gui, Q.; Liu, C.; Du, D.. Globalization of science and international scientific collaboration: A network perspective. Geoforum. 2019;105:1–12. https://doi.org/10.1016/j.geoforum.2019.06.017CrossrefGOOGLE SCHOLAR
  35. 35.Hafeez, A.; Zubair, Z.; Bangash, M. K.; Ismail, A. F.; Collins, M. N.. Multicomponent Composites. In Multicomponent Fibers and Polymeric Systems. CRC Press. 2026;136–198.GOOGLE SCHOLAR
  36. 36.Han, J.; Teng, X.; Cai, X.. A novel network optimization partner selection method based on collaborative and knowledge networks. Information Sciences. 2019;484:269–285. https://doi.org/10.1016/j.ins.2019.01.072CrossrefGOOGLE SCHOLAR
  37. 37.Han, Z.; Zhou, J.; Lu, G.; Piao, Z.; Tao, S.; Gao, R. et al. Uncovering battery electrochemical mechanisms by artificial intelligence. National Science Review. 2025;12(11):nwaf442. https://doi.org/10.1093/nsr/nwaf442CrossrefGOOGLE SCHOLAR
  38. 38.Harun-Ur-Rashid, M.; Imran, A. B.. Emerging Trends in Engineering Polymers: A Paradigm Shift in Material Engineering. Recent Progress in Materials. 2024;06(03):024. https://doi.org/10.21926/rpm.2403024CrossrefGOOGLE SCHOLAR
  39. 39.He, Q.; Ning, J.; Chen, H.; Jiang, Z.; Wang, J. et al. Achievements, challenges, and perspectives in the design of polymer binders for advanced lithium-ion batteries [https://doi.org/10.1039/D4CS00366G]. Chemical Society Reviews. 2024;53(13):7091–7157. https://doi.org/10.1039/D4CS00366GCrossrefGOOGLE SCHOLAR
  40. 40.Hemath, M.; Mavinkere Rangappa, S.; Kushvaha, V.; Dhakal, H. N.; Siengchin, S.. A comprehensive review on mechanical, electromagnetic radiation shielding, and thermal conductivity of fibers/inorganic fillers reinforced hybrid polymer composites. Polymer Composites. 2020;41(10):3940–3965. https://doi.org/10.1002/pc.25703CrossrefGOOGLE SCHOLAR
  41. 41.Hou, L.; Pan, Y.; Zhu, J. J. H.. Impact of scientific, economic, geopolitical, and cultural factors on international research collaboration. Journal of Informetrics. 2021;15(3):101194. https://doi.org/10.1016/j.joi.2021.101194CrossrefGOOGLE SCHOLAR
  42. 42.Hu, M.-C.; Mathews, J. A.. China's national innovative capacity. Research Policy. 2008;37(9):1465–1479. https://doi.org/10.1016/j.respol.2008.07.003CrossrefGOOGLE SCHOLAR
  43. 43.Hu, Y.; Hong, T.; Zhou, S.; Wang, Y.; Ye, Q. et al. Bibliometric Analysis of Coating Protection from 2015 to 2025. Coatings. 2025;15(6):686.GOOGLE SCHOLAR
  44. 44.Huang, H.; Jin, J.; Zheng, C.; Wang, L. et al. Bonded Interface Enabled Durable Solid-state Lithium Metal Batteries with Ultra-low Interfacial Resistance of 0.25 Ω cm2. Advanced Functional Materials. 2024;34(45):2407619. https://doi.org/10.1002/adfm.202407619CrossrefGOOGLE SCHOLAR
  45. 45.Hussein Farh, H. M.; Al-Shamma’a, A. A.. Scientometric Analysis and Systematic Review of Battery State of Health Estimation Methods for Wheelchair Applications. Journal of Disability Research. 2025;4(6):20250576.GOOGLE SCHOLAR
  46. 46.Iammarino, S.; McCann, P.. The structure and evolution of industrial clusters: Transactions, technology and knowledge spillovers. Research Policy. 2006;35(7):1018–1036. https://doi.org/10.1016/j.respol.2006.05.004CrossrefGOOGLE SCHOLAR
  47. 47.Itani, K.; De Bernardinis, A.. Review on New-Generation Batteries Technologies: Trends and Future Directions. Energies. 2023a;16(22):7530.GOOGLE SCHOLAR
  48. 48.Itani, K.; De Bernardinis, A.. Review on new-generation batteries technologies: Trends and future directions. Energies. 2023b;16(22):7530.GOOGLE SCHOLAR
  49. 49.Janáky, C.; Visy, C.. Conducting polymer-based hybrid assemblies for electrochemical sensing: a materials science perspective. Analytical and Bioanalytical Chemistry. 2013;405(11):3489–3511. https://doi.org/10.1007/s00216-013-6702-yCrossrefGOOGLE SCHOLAR
  50. 50.Jiang, T.. Breakthrough inventions in China: the role of intra- and inter-regional collaboration and local knowledge base. Economics of Innovation and New Technology. 2025;34(6):938–969. https://doi.org/10.1080/10438599.2024.2389253CrossrefGOOGLE SCHOLAR
  51. 51.Ju, Y.-M.; Kim, D.; Lee, S.-M.; Kim, H.; Lee, D.; Hwang, Y.-T. et al. Measurement of interfacial adhesion strength of Copper-Silicon based dielectric interfaces via laser spallation test. Applied Surface Science Advances. 2025;28:100783. https://doi.org/10.1016/j.apsadv.2025.100783CrossrefGOOGLE SCHOLAR
  52. 52.Jung, J.; Horta, H.. The Contribution of East Asian Countries to Internationally Published Asian Higher Education Research: The Role of System Development and Internationalization. Higher Education Policy. 2015;28(4):419–439. https://doi.org/10.1057/hep.2015.15CrossrefGOOGLE SCHOLAR
  53. 53.Karthikeyan, N.; Naveen, J.. Progress in adhesive-bonded composite joints: A comprehensive review. Journal of Reinforced Plastics and Composites. 2025;44(19-20):1844–1890. https://doi.org/10.1177/07316844241248236CrossrefGOOGLE SCHOLAR
  54. 54.Khan, M.; Cameron, B.. What determines EV architecture? An analysis of the most influential battery electric vehicle design decisions from market data. Journal of Engineering Design. 2025;1–17. https://doi.org/10.1080/09544828.2025.2541150CrossrefGOOGLE SCHOLAR
  55. 55.Khudzari, J. M.; Kurian, J.; Tartakovsky, B.; Raghavan, G. V.. Bibliometric analysis of global research trends on microbial fuel cells using Scopus database. Biochemical engineering journal. 2018;136:51–60.GOOGLE SCHOLAR
  56. 56.Kim, K.; Byun, S.; Choi, J.; Hong, S. et al. Elucidating the Polymeric Binder Distribution within Lithium-Ion Battery Electrodes Using SAICAS. ChemPhysChem. 2018;19(13):1627–1634. https://doi.org/10.1002/cphc.201800072CrossrefGOOGLE SCHOLAR
  57. 57.Kim, T.; Lee, J.; Kim, N.; Lee, S.; Gu, M.; Kim, B.-S.. Redox-active polyimides for energy conversion and storage: from synthesis to application [https://doi.org/10.1039/D2CC05660G]. Chemical Communications. 2023;59(2):153–169. https://doi.org/10.1039/D2CC05660GCrossrefGOOGLE SCHOLAR
  58. 58.Komaba, S.; Murata, W.; Ishikawa, T. et al. Electrochemical Na Insertion and Solid Electrolyte Interphase for Hard-Carbon Electrodes and Application to Na-Ion Batteries. Advanced Functional Materials. 2011;15(20):3859–3867. https://doi.org/10.1002/adfm.201100854CrossrefGOOGLE SCHOLAR
  59. 59.Krebs, F. C.; Fyenbo, J.; Jørgensen, M.. Product integration of compact roll-to-roll processed polymer solar cell modules: methods and manufacture using flexographic printing, slot-die coating and rotary screen printing. Journal of Materials Chemistry. 2010;20(3):8994–9001.GOOGLE SCHOLAR
  60. 60.Krebs, R. M.; Boehler, C. N.; Egner, T.; Woldorff, M. G.. The Neural Underpinnings of How Reward Associations Can Both Guide and Misguide Attention. The Journal of Neuroscience. 2011;31(26):9752. https://doi.org/10.1523/JNEUROSCI.0732-11.2011CrossrefGOOGLE SCHOLAR
  61. 61.Kumar, R. R.; Bharatiraja, C.; Udhayakumar, K.; Devakirubakaran, S.; Sekar, K. S.; Mihet-Popa, L.. Advances in Batteries, Battery Modeling, Battery Management System, Battery Thermal Management, SOC, SOH, and Charge/Discharge Characteristics in EV Applications. IEEE Access. 2023;11:105761–105809. https://doi.org/10.1109/ACCESS.2023.3318121CrossrefGOOGLE SCHOLAR
  62. 62.Lafia, S.; Kuhn, W.; Caylor, K.; Hemphill, L.. Mapping research topics at multiple levels of detail. Patterns. 2021;2(3). https://doi.org/10.1016/j.patter.2021.100210CrossrefGOOGLE SCHOLAR
  63. 63.Lee, Y.-S.; Lee, J. H.; Choi, J.-A.; Yoon, W. Y.; Kim, D.-W.. Cycling Characteristics of Lithium Powder Polymer Batteries Assembled with Composite Gel Polymer Electrolytes and Lithium Powder Anode. Advanced Functional Materials. 2013;23(8):1019–1027. https://doi.org/10.1002/adfm.201200692CrossrefGOOGLE SCHOLAR
  64. 64.Leifeld, P.. Polarization in the social sciences: Assortative mixing in social science collaboration networks is resilient to interventions. Physica A: Statistical Mechanics and its Applications. 2018;507:510–523. https://doi.org/10.1016/j.physa.2018.05.109CrossrefGOOGLE SCHOLAR
  65. 65.Leydesdorff, L.; Wagner, C.; Park, H. W.; Adams, J.. International collaboration in science: The global map and the network. 2013.GOOGLE SCHOLAR
  66. 66.Li, J.; Sing, M. C. P.. Mapping energy sustainability: An integrated analysis of research landscapes and policy alignment. Environmental Science & Policy. 2025;174:104282. https://doi.org/10.1016/j.envsci.2025.104282CrossrefGOOGLE SCHOLAR
  67. 67.Lin, J.; Zhang, Z.; Guo, M.; Zhang, H.; Gao, M.; Deng, R. et al. Electrodeposited MnO2 films for energy storage and catalysis: a review [https://doi.org/10.1039/D5SE01095K]. Sustainable Energy & Fuels. 2026;10(1):99–118. https://doi.org/10.1039/D5SE01095KCrossrefGOOGLE SCHOLAR
  68. 68.Lipu, M. S.; Mamun, A. A.; Ansari, S.; Miah, M. S. et al. Battery Management, Key Technologies, Methods, Issues, and Future Trends of Electric Vehicles: A Pathway toward Achieving Sustainable Development Goals. Batteries. 2022;8(9):119.GOOGLE SCHOLAR
  69. 69.Liu, J.; Zhang, J.-G.; Yang, Z.; Lemmon, J. P.; Imhoff, C. et al. Materials Science and Materials Chemistry for Large Scale Electrochemical Energy Storage: From Transportation to Electrical Grid. Advanced Functional Materials. 2013;23(8):929–946. https://doi.org/10.1002/adfm.201200690CrossrefGOOGLE SCHOLAR
  70. 70.Marlés-Sáenz, E.; Gómez-Luna, E.; Guerrero, J. M.; Vasquez, J. C.. Innovative Bibliometric Methodology: A New Big Data-Based Framework for Scientific Research. Energies. 2025;18(10):2437.GOOGLE SCHOLAR
  71. 71.Moorthy, G. T.. New approaches and their applications in measuring mixing patterns of complex networks. 2014.GOOGLE SCHOLAR
  72. 72.Mostaghis, A. A.; Mirzaei, N.; Yousefi, H.; Hajinezhad, A.; Abdoos, M.. Comprehensive bibliometric analysis of electric vehicle research: Trends, emerging topics, and sustainability insights. Energy Strategy Reviews. 2025;62:101963. https://doi.org/10.1016/j.esr.2025.101963CrossrefGOOGLE SCHOLAR
  73. 73.Murugan, M.; Elumalai, P. V.; Vijayakumar, K. C. K.; Babu, M.; Suresh Kumar, K. et al. A Comprehensive Review of Thermal Management Methods and Ideal System Design for Improved Electric Vehicle Battery Pack Performance and Safety. Energy Science & Engineering. 2025;13(3):1011–1036. https://doi.org/10.1002/ese3.2081CrossrefGOOGLE SCHOLAR
  74. 74.Nan, M.; Huang, L.. Innovation Ecosystems: A Cross-Industry Examination of Knowledge Flows and Collaboration Dynamics. Journal of the Knowledge Economy. 2025;16(1):26–64. https://doi.org/10.1007/s13132-024-01986-xCrossrefGOOGLE SCHOLAR
  75. 75.Niebel, A.; Krumbiegel, F.; Hartwig, S.; Parr, M. K.; Tsokos, M.. Detection and quantification of synthetic cathinones and selected piperazines in hair by LC-MS/MS. Forensic Science, Medicine and Pathology. 2020;16(1):32–42. https://doi.org/10.1007/s12024-019-00209-zCrossrefGOOGLE SCHOLAR
  76. 76.Niosi, J.; Bellon, B.. The global interdependence of national innovation systems: Evidence, limits, and implications. Technology in Society. 1994;16(2):173–197. https://doi.org/10.1016/0160-791X(94CrossrefGOOGLE SCHOLAR
  77. 77.Ovezmyradov, B.. Applying quantified indicators in Central Asian science: can metrics improve the regional research performance?. Scientometrics. 2023;128(1):177–206. https://doi.org/10.1007/s11192-022-04544-xCrossrefGOOGLE SCHOLAR
  78. 78.Park, G.; Kim, C.-G.; Kwon, H.; Lee, J. D.; Park, J.; Son, Y. et al. Tailored Stitching and Vertical Stacking for High-Voltage Multifunctional Structural Batteries with Enhanced Electrochemical-Mechanical Coupling. Advanced Science. 2026;13(2):e14967. https://doi.org/10.1002/advs.202514967CrossrefGOOGLE SCHOLAR
  79. 79.Park, H.-Y.; Shin, T. J.; Joh, H.-I.; Jang, J. H.; Ahn, D.; Yoo, S. J.. Graphene-oxide-intercalated layered manganese oxides as an efficient oxygen reduction reaction catalyst in alkaline media. Electrochemistry Communications. 2014;41:35–38. https://doi.org/10.1016/j.elecom.2014.01.019CrossrefGOOGLE SCHOLAR
  80. 80.Paul, S. K.. Vulnerability Concepts and its Application in Various Fields: A Review on Geographical Perspective. Journal of Life and Earth Science. 2014;8(0):63–81. https://doi.org/10.3329/jles.v8i0.20150CrossrefGOOGLE SCHOLAR
  81. 81.Petersen, A. M.; Arroyave, F.; Pavlidis, I.. Methods for measuring social and conceptual dimensions of convergence science. Research Evaluation. 2023;32(2):256–272. https://doi.org/10.1093/reseval/rvad020CrossrefGOOGLE SCHOLAR
  82. 82.Ren, L.; Lv, J.; Wang, H.; Cheng, Y.. Innenrücktitelbild: A Coordinative Dendrimer Achieves Excellent Efficiency in Cytosolic Protein and Peptide Delivery (Angew. Chem. 12/2020). Angewandte Chemie. 2020;132(12):5000–5000. https://doi.org/10.1002/ange.202002155CrossrefGOOGLE SCHOLAR
  83. 83.Rodrigues, V. C.; Kasaei, M. M.; Marques, E. A.; Carbas, R. J.; da Silva, L. F.. Adhesive bonding in automotive battery pack manufacturing and dismantling: a review. Discover Mechanical Engineering. 2025;4(1):25.GOOGLE SCHOLAR
  84. 84.Ruan, T.; Lyu, X.; Cai, X.. Global research landscapes of solar and wind energy (2015-2024): A bibliometric analysis of productivity, collaboration and sustainability alignment. Energy Conversion and Management: X. 2026;30:101680. https://doi.org/10.1016/j.ecmx.2026.101680CrossrefGOOGLE SCHOLAR
  85. 85.Ryou, J. W.; Tsang, A.; Wang, K. T.. Product Market Competition and Voluntary Corporate Social Responsibility Disclosures. Contemporary Accounting Research. 2022;39(2):1215–1259. https://doi.org/10.1111/1911-3846.12748CrossrefGOOGLE SCHOLAR
  86. 86.Ryou, M.-H.; Hong, S.; Winter, M.; Lee, H.; Choi, J. W.. Improved cycle lives of LiMn2O4 cathodes in lithium ion batteries by an alginate biopolymer from seaweed. Journal of Materials Chemistry A. 2013;1(48):15224–15229.GOOGLE SCHOLAR
  87. 87.Salgado-Pizarro, R.; Calderón, A.; Svobodova-Sedlackova, A.; Fernández, A. I.; Barreneche, C.. The relevance of thermochemical energy storage in the last two decades: The analysis of research evolution. Journal of Energy Storage. 2022;51:104377. https://doi.org/10.1016/j.est.2022.104377CrossrefGOOGLE SCHOLAR
  88. 88.Sharma, A.; Sharma, S.; Sharma, M.; Sharma, V.; Sharma, S.; Sivanesan, I.. Polymeric Frontiers in Next-Generation Energy Storage: Bridging Molecular Design, Multifunctionality, and Device Applications Across Batteries, Supercapacitors, Solid-State Systems, and Beyond. Polymers. 2025;17(20):2800.GOOGLE SCHOLAR
  89. 89.Shaw, M. W.; Pautasso, M.. Networks and Plant Disease Management: Concepts and Applications. Annual Review of Phytopathology. 2014;52(1):477–493. https://doi.org/10.1146/annurev-phyto-102313-050229CrossrefGOOGLE SCHOLAR
  90. 90.Siddiqi, M. A.; Yousaf, M.; Umair, M.; Ahmad, S.; Zafar, A.; Sajid, U. et al. Frontiers in Material Science Advances in Battery Technologies, Smart Electronic Materials, Sustainable Energy Systems, and Innovations in Electric Transportation Solutions. Global Scientific and Academic Research Journal of Multidisciplinary Studies. 2024;3(12):49–60.GOOGLE SCHOLAR
  91. 91.Sun, J.; Zhang, X.. Exploring the green technology collaboration network of the Yangtze River City cluster—from intra-cluster and inter-cluster perspectives. Environment, Development and Sustainability. 2025. https://doi.org/10.1007/s10668-024-05950-2CrossrefGOOGLE SCHOLAR
  92. 92.Thakuria, A.; Chakraborty, I.; Deka, D.. A bibliometric review on serendipity literature available in Web of Science database using HistCite and Biblioshiny. Information Discovery and Delivery. 2023;52(2):227–242. https://doi.org/10.1108/IDD-01-2023-0001CrossrefGOOGLE SCHOLAR
  93. 93.Tonelli, M.; Bonini, M.. Hydrogels as Reversible Adhesives: A Review on Sustainable Design Strategies and Future Prospects. Colloids and Interfaces. 2025;9(6):84.GOOGLE SCHOLAR
  94. 94.Trahey, L.; Brushett, F. R.; Balsara, N. P.; Ceder, G. et al. Energy storage emerging: A perspective from the Joint Center for Energy Storage Research. Proceedings of the National Academy of Sciences. 2020;117(23):12550–12557. https://doi.org/10.1073/pnas.1821672117CrossrefGOOGLE SCHOLAR
  95. 95.Turki, H.; Hadj Taieb, M. A.; Ben Aouicha, M.; Fraumann, G.; Hauschke, C.; Heller, L.. Enhancing Knowledge Graph Extraction and Validation From Scholarly Publications Using Bibliographic Metadata [Opinion]. Frontiers in Research Metrics and Analytics. 2021;Volume 6:2021. https://doi.org/10.3389/frma.2021.694307CrossrefGOOGLE SCHOLAR
  96. 96.Ue, M.; Sakaushi, K.; Uosaki, K.. Basic knowledge in battery research bridging the gap between academia and industry [https://doi.org/10.1039/D0MH00067A]. Materials Horizons. 2020;7(8):1937–1954. https://doi.org/10.1039/D0MH00067ACrossrefGOOGLE SCHOLAR
  97. 97.Ullah, I.; Safdar, M.; Zheng, J.; Severino, A.; Jamal, A.. Employing Bibliometric Analysis to Identify the Current State of the Art and Future Prospects of Electric Vehicles. Energies. 2023;16(5):2344.GOOGLE SCHOLAR
  98. 98.Walther, A.. Viewpoint: From Responsive to Adaptive and Interactive Materials and Materials Systems: A Roadmap. Advanced Materials. 2020;32(20):1905111. https://doi.org/10.1002/adma.201905111CrossrefGOOGLE SCHOLAR
  99. 99.Wang, Y.; Wei, G.. Recent trends in polymer membranes: fabrication technique, characterization, functionalization, and applications in environmental science (part I). In. 2889: MDPI. 2024;16(20).GOOGLE SCHOLAR
  100. 100.Wang, Z.; Zhou, J.; Ji, H.; Liu, J.; Zhou, Y.; Qian, T. et al. Principles and Design of Biphasic Self‐Stratifying Batteries Toward Next‐Generation Energy Storage. Angewandte Chemie International Edition. 2024;63(20):e202320258.GOOGLE SCHOLAR
  101. 101.Wei, W.-J.; Shi, B.; Guan, X.; Ma, J.-Y.; Wang, Y.-C.; Liu, J.. Mapping theme trends and knowledge structures for human neural stem cells: a quantitative and co-word biclustering analysis for the 2013-2018 period. Neural Regeneration Research. 2019;14(10):1832.GOOGLE SCHOLAR
  102. 102.Wheeldon, R.; Counsell, S.. Power law distributions in class relationships. Proceedings Third IEEE International Workshop on Source Code Analysis and Manipulation. 2003.GOOGLE SCHOLAR
  103. 103.Xu, L.; Li, J.; Zhou, X.. Exploring new knowledge through research collaboration: the moderation of the global and local cohesion of knowledge networks. The Journal of Technology Transfer. 2019;44(3):822–849. https://doi.org/10.1007/s10961-017-9614-8CrossrefGOOGLE SCHOLAR
  104. 104.Yang, C.-H.; Huang, J.. Advancing Energy Storage Technologies and Governance in the Asia-Pacific Region: A Review of International Frameworks, Research Insights, and Regional Case Studies. Energy Storage and Applications. 2025;2(3):8.GOOGLE SCHOLAR
  105. 105.Yang, J.; Bai, R.; Chen, B.; Suo, Z.. Hydrogel Adhesion: A Supramolecular Synergy of Chemistry, Topology, and Mechanics. Advanced Functional Materials. 2020;30(2):1901693. https://doi.org/10.1002/adfm.201901693CrossrefGOOGLE SCHOLAR
  106. 106.Yao, S.; Bian, Z.; Hasan, M. K.; Ding, R.; Li, S.; Wang, Y. et al. A bibliometric review on electric vehicle (EV) energy efficiency and emission effect research. Environmental Science and Pollution Research. 2023;30(42):95172–95196. https://doi.org/10.1007/s11356-023-29143-yCrossrefGOOGLE SCHOLAR
  107. 107.Yoo, H. D.; Markevich, E.; Salitra, G.; Sharon, D.; Aurbach, D.. On the challenge of developing advanced technologies for electrochemical energy storage and conversion. Materials Today. 2014;17(3):110–121. https://doi.org/10.1016/j.mattod.2014.02.014CrossrefGOOGLE SCHOLAR
  108. 108.Yu, Z.; Shang, S.-L.; Seo, J.-H.; Wang, D.; Luo, X.; Huang, Q. et al. Exceptionally High Ionic Conductivity in Na3P0.62As0.38S4 with Improved Moisture Stability for Solid-State Sodium-Ion Batteries. Advanced Materials. 2017;29(16):1605561. https://doi.org/10.1002/adma.201605561CrossrefGOOGLE SCHOLAR
  109. 109.Yuan, H.; Ma, M.; Zhou, N.; Xie, H.; Ma, Z.; Xiang, X. et al. Battery electric vehicle charging in China: Energy demand and emissions trends in the 2020s. Applied Energy. 2024;365:123153. https://doi.org/10.1016/j.apenergy.2024.123153CrossrefGOOGLE SCHOLAR
  110. 110.Yuan, Q.; Gao, W.; Liu, J. L.. Achievements in Elevating the Chemistry Enterprise: Advancing Energy Transition and Smart Materials. ACS Energy Letters. 2025;10(3):1366–1373. https://doi.org/10.1021/acsenergylett.5c00349CrossrefGOOGLE SCHOLAR
  111. 111.Yuan, Q.; Wei, L.; Wang, Y.; Ma, Y.; Li, Y.; Wang, Y. et al. Enhanced capacitive energy storage performance induced by incorporating BaTiO3 nanofibers in PEI-based multilayered nanocomposite films. Journal of Energy Storage. 2025;137:118588. https://doi.org/10.1016/j.est.2025.118588CrossrefGOOGLE SCHOLAR
  112. 112.Yue, W.; Larsen-Olsen, T. T.; Hu, X.; Shi, M.; Chen, H.; Hinge, M. et al. Synthesis and photovoltaic properties from inverted geometry cells and roll-to-roll coated large area cells from dithienopyrrole-based donor-acceptor polymers. Journal of Materials Chemistry A. 2013;1(5):1785–1793.GOOGLE SCHOLAR
  113. 113.Zhang, C.; Xu, C.; Sun, C.; Meng, W.. Global Research Trends in EV-Based Cell-Free Therapy for Osteoarthritis: A Bibliometric Analysis. Tissue Engineering and Regenerative Medicine. 2025;22(7):911–928. https://doi.org/10.1007/s13770-025-00749-2CrossrefGOOGLE SCHOLAR
  114. 114.Zhang, H.; Huang, H.; Hao, Y.; Hong, X.; Zhong, X. et al. Breaking the thermal conductivity-latent heat trade-off via spatial decoupling for dual-function chip cooling. Journal of Energy Storage. 2026;146:120055. https://doi.org/10.1016/j.est.2025.120055CrossrefGOOGLE SCHOLAR
  115. 115.Zhang, H.; Zhang, X.; Song, M.. Does knowledge management enhance or impede innovation speed?. Journal of Knowledge Management. 2020;24(6):1393–1424. https://doi.org/10.1108/JKM-08-2019-0460CrossrefGOOGLE SCHOLAR
  116. 116.Zhang, S.; Dokko, K.; Watanabe, M.. Porous ionic liquids: synthesis and application [https://doi.org/10.1039/C5SC01374G]. Chemical Science. 2015;6(7):3684–3691. https://doi.org/10.1039/C5SC01374GCrossrefGOOGLE SCHOLAR
  117. 117.Zhang, X.. The institutional structuring of innovation policy coordination: theory and evidence from East Asia. Policy Sciences. 2020;53(1):101–138. https://doi.org/10.1007/s11077-019-09364-0CrossrefGOOGLE SCHOLAR
  118. 118.Zhao, W.; Mao, J.; Lu, K.. Ranking themes on co-word networks: Exploring the relationships among different metrics. Information Processing & Management. 2018;54(2):203–218. https://doi.org/10.1016/j.ipm.2017.11.005CrossrefGOOGLE SCHOLAR
  119. 119.Zheng, W.; Zhang, P.; Chen, J.; Tian, W. B.; Zhang, Y. M.; Sun, Z. M.. In situ synthesis of CNTs@Ti3C2 hybrid structures by microwave irradiation for high-performance anodes in lithium ion batteries [https://doi.org/10.1039/C7TA10394H]. Journal of Materials Chemistry A. 2018;6(8):3543–3551. https://doi.org/10.1039/C7TA10394HCrossrefGOOGLE SCHOLAR
  120. 120.Zheng, Y.; Cui, T.; Wang, J.; Ge, H.; Gui, Z.. Unveiling innovative design of customizable adhesive flexible devices from self-healing ionogels with robust adhesion and sustainability. Chemical Engineering Journal. 2023;471:144617. https://doi.org/10.1016/j.cej.2023.144617CrossrefGOOGLE SCHOLAR
  121. 121.Zhou, J.; Deng, Y.; Luo, F.; He, Z.; Tu, Q.; Zhi, X.. Functional Molecular Ecological Networks. mBio. 2010;1(4). https://doi.org/10.1128/mbio.00169-00110CrossrefGOOGLE SCHOLAR
  122. 122.Zuo, Z.; Zhao, K.. The more multidisciplinary the better? - The prevalence and interdisciplinarity of research collaborations in multidisciplinary institutions. Journal of Informetrics. 2018;12(3):736–756. https://doi.org/10.1016/j.joi.2018.06.006CrossrefGOOGLE SCHOLAR

Cite this article

SELECT FORMAT

Sarkar, S., Parmar, V. M., & Gohil, P. P. (2026). Multifunctional Polymer Composite Materials for Thermal-Structural-Electrical Integration in Electric Vehicle Batteries: A Bibliometric and Science Mapping Review (1995-2025). Journal of Scientometric Research, 15(3), 1120–1138. https://doi.org/10.5530/jscires.20260281