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Bibliometric trend analysis on global graphene research

Author

Listed:
  • Peng Hui Lv

    (Chinese Academy of Sciences)

  • Gui-Fang Wang

    (Chinese Academy of Sciences)

  • Yong Wan

    (Chinese Academy of Sciences)

  • Jia Liu

    (Chinese Academy of Sciences)

  • Qing Liu

    (Chinese Academy of Sciences)

  • Fei-cheng Ma

    (Information Resource Research Centre of Wuhan University)

Abstract

Graphene is a rising star as one of the promising materials with many applications. Its global literature increased fast in recent years. In this work, bibliometric analysis and knowledge visualization technology were applied to evaluate global scientific production and developing trend of graphene research. The data were collected from 1991 to 2010 from the Science Citation Index database, Conference Proceeding Citation Index database and Derwent Innovation Index database integrated by Thomson Reuters. The published papers from different subjects, journals, authors, countries and keywords distributed in several aspects of research topics proved that graphene research increased rapidly over past 20 years and boosted in recent 5 years. The distinctions in knowledge map show that the clusters distributed regularly in keywords of applied patents in recent 5 years due to the potential applications of graphene research gradually found. The analytical results provided several key findings of bibliometrics trend.

Suggested Citation

  • Peng Hui Lv & Gui-Fang Wang & Yong Wan & Jia Liu & Qing Liu & Fei-cheng Ma, 2011. "Bibliometric trend analysis on global graphene research," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 399-419, August.
    • Handle: RePEc:spr:scient:v:88:y:2011:i:2:d:10.1007_s11192-011-0386-x
    DOI: 10.1007/s11192-011-0386-x
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    as
    1. Wen-Ta Chiu & Yuh-Shan Ho, 2007. "Bibliometric analysis of tsunami research," Scientometrics, Springer;Akadémiai Kiadó, vol. 73(1), pages 3-17, October.
    2. Cristina Faba-Pérez & Vicente P. Guerrero-Bote & Félix De Moya-Anegón, 2003. "Data mining in a closed Web environment," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(3), pages 623-640, November.
    3. Hsin-Ning Su & Pei-Chun Lee, 2010. "Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology Foresight," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 65-79, October.
    4. Kevin W. Boyack & Richard Klavans & Katy Börner, 2005. "Mapping the backbone of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 64(3), pages 351-374, August.
    5. Cornelia Enachescu & Tiberiu Postelnicu, 2003. "Patterns in journal citation data revealed by exploratory multivariate analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 56(1), pages 43-59, January.
    6. Loet Leydesdorff, 1997. "Why words and co‐words cannot map the development of the sciences," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 48(5), pages 418-427, May.
    Full references (including those not matched with items on IDEAS)

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    14. Krzysztof Klincewicz, 2016. "The emergent dynamics of a technological research topic: the case of graphene," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 319-345, January.
    15. Alba Santa Soriano & Carolina Lorenzo Álvarez & Rosa María Torres Valdés, 2018. "Bibliometric analysis to identify an emerging research area: Public Relations Intelligence—a challenge to strengthen technological observatories in the network society," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1591-1614, June.
    16. Youliang Huang & Qian Huang & Sajid Ali & Xing Zhai & Xiaoming Bi & Renquan Liu, 2016. "Rehabilitation using virtual reality technology: a bibliometric analysis, 1996–2015," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1547-1559, December.
    17. Lijuan Du & Wenliang Chen, 2022. "Political Discourse and Translation Studies. A Bibliometric Analysis in International Core Journals," SAGE Open, , vol. 12(1), pages 21582440221, March.
    18. Jabłońska-Sabuka, Matylda & Sitarz, Robert & Kraslawski, Andrzej, 2014. "Forecasting research trends using population dynamics model with Burgers’ type interaction," Journal of Informetrics, Elsevier, vol. 8(1), pages 111-122.
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    20. Wang, Chang & Geng, Hongjun & Sun, Rui & Song, Huiling, 2022. "Technological potential analysis and vacant technology forecasting in the graphene field based on the patent data mining," Resources Policy, Elsevier, vol. 77(C).
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    23. Carolin Michels & Jun-Ying Fu, 2014. "Systematic analysis of coverage and usage of conference proceedings in web of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 307-327, August.
    24. Guifeng Liu, 2013. "Visualization of patents and papers in terahertz technology: a comparative study," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1037-1056, March.

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