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A scientometric study of global electric vehicle research

Author

Listed:
  • Yue Hu

    (Hefei University of Technology
    Chinese Academy of Sciences)

  • Jun Sun

    (Hefei University of Technology)

  • Weimin Li

    (Chinese Academy of Sciences)

  • Yunlong Pan

    (Guangdong University of Technology)

Abstract

A scientometric analysis was applied in this work to evaluate the status and trends of electric vehicle papers published between 1993 and 2012 in any journal of all the subject categories of the Web of Science. Electric vehicle was used as a keyword to search parts of titles, abstracts, or keywords. Publication trends were analyzed by the retrieved results in publication outputs, subject categories and publication pattern, international productivity. The document co-citation analysis was done in CitespaceII to find out the intellectual base and research fronts of electric vehicle. The articles about electric vehicle increased fast in the last 20 years. 11 document types were found in all electric vehicle-related papers and proceedings paper was the most frequently used document type. Language analysis showed that English was the most dominating language. “Engineering electrical electronic”, “Energy fuels” and “Transportation science technology” were the top three most popular subject categories. Journal of Power Sources, IEEE Transaction on Vehicular Technology and IEEE Transaction on Industrial Electronics were the representative journals in the field of electric vehicle. The USA, China and Japan were the most productive countries. University of Michigan, Harbin Institute of Technology and Ohio State University were the most productive countries. Vehicle-to-grid technology, control strategy, combination of power management and traffic information from GPS, plug-in electric vehicle, architectures and modeling, battery and policy about electric vehicle are the research fronts of electric vehicle.

Suggested Citation

  • Yue Hu & Jun Sun & Weimin Li & Yunlong Pan, 2014. "A scientometric study of global electric vehicle research," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1269-1282, February.
    • Handle: RePEc:spr:scient:v:98:y:2014:i:2:d:10.1007_s11192-013-1067-8
    DOI: 10.1007/s11192-013-1067-8
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Li, Maobing & Xu, Hui & Li, Weimin & Liu, Yin & Li, Fade & Hu, Yue & Liu, Li, 2016. "The structure and control method of hybrid power source for electric vehicle," Energy, Elsevier, vol. 112(C), pages 1273-1285.
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    3. Izaskun Alvarez-Meaza & Enara Zarrabeitia-Bilbao & Rosa Maria Rio-Belver & Gaizka Garechana-Anacabe, 2020. "Fuel-Cell Electric Vehicles: Plotting a Scientific and Technological Knowledge Map," Sustainability, MDPI, vol. 12(6), pages 1-25, March.
    4. Yu, Dejian & Xu, Chao, 2017. "Mapping research on carbon emissions trading: a co-citation analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1314-1322.
    5. Cao, Jidi & Chen, Xin & Qiu, Rui & Hou, Shuhua, 2021. "Electric vehicle industry sustainable development with a stakeholder engagement system," Technology in Society, Elsevier, vol. 67(C).
    6. Qing Cheng & Xin Lu & Zhong Liu & Jincai Huang, 2015. "Mining research trends with anomaly detection models: the case of social computing research," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 453-469, May.
    7. Webb, Jeremy & Wilson, Clevo & Kularatne, Thamarasi, 2019. "Will people accept shared autonomous electric vehicles? A survey before and after receipt of the costs and benefits," Economic Analysis and Policy, Elsevier, vol. 61(C), pages 118-135.
    8. Dejian Yu, 2015. "A scientometrics review on aggregation operator research," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 115-133, October.

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