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A Bibliometric Analysis of Wearable Device Research Trends 2001–2022—A Study on the Reversal of Number of Publications and Research Trends in China and the USA

Author

Listed:
  • Itsuki Kageyama

    (Graduate School of Technology Management, Ritsumeikan University, 2-150 Iwakuracho, Ibaraki 567-8570, Japan)

  • Karin Kurata

    (Graduate School of Technology Management, Ritsumeikan University, 2-150 Iwakuracho, Ibaraki 567-8570, Japan)

  • Shuto Miyashita

    (School of Environment and Society, Tokyo Institute of Technology, Tokyo 108-0023, Japan)

  • Yeongjoo Lim

    (Graduate School of Technology Management, Ritsumeikan University, 2-150 Iwakuracho, Ibaraki 567-8570, Japan)

  • Shintaro Sengoku

    (School of Environment and Society, Tokyo Institute of Technology, Tokyo 108-0023, Japan)

  • Kota Kodama

    (Graduate School of Technology Management, Ritsumeikan University, 2-150 Iwakuracho, Ibaraki 567-8570, Japan
    Center for Research and Education on Drug Discovery, The Graduate School of Pharmaceutical Sciences, Hokkaido University, Sapporo 060-0812, Japan)

Abstract

In recent years, Wearable Devices have been used in a wide variety of applications and fields, but because they span so many different disciplines, it is difficult to ascertain the intellectual structure of this entire research domain. No review encompasses the whole research domain related to Wearable Devices. In this study, we collected articles on wearable devices from 2001 to 2022 and quantitatively organized them by bibliometric analysis to clarify the intellectual structure of this research domain as a whole. The cluster analysis, co-occurrence analysis, and network centrality analysis were conducted on articles collected from the Web of Science. As a result, we identified one cluster that represents applied research and two clusters that represent basic research in this research domain. Furthermore, focusing on the top two countries contributing to this research domain, China and the USA., it was confirmed that China is extremely inclined toward basic research and the USA. toward applied research, indicating that applied and basic research are in balance. The basic intellectual structure of this cross-sectional research domain was identified. The results summarize the current state of research related to Wearable Devices and provide insight into trends.

Suggested Citation

  • Itsuki Kageyama & Karin Kurata & Shuto Miyashita & Yeongjoo Lim & Shintaro Sengoku & Kota Kodama, 2022. "A Bibliometric Analysis of Wearable Device Research Trends 2001–2022—A Study on the Reversal of Number of Publications and Research Trends in China and the USA," IJERPH, MDPI, vol. 19(24), pages 1-19, December.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:24:p:16427-:d:996646
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    1. Donthu, Naveen & Kumar, Satish & Mukherjee, Debmalya & Pandey, Nitesh & Lim, Weng Marc, 2021. "How to conduct a bibliometric analysis: An overview and guidelines," Journal of Business Research, Elsevier, vol. 133(C), pages 285-296.
    2. Gert Sabidussi, 1966. "The centrality index of a graph," Psychometrika, Springer;The Psychometric Society, vol. 31(4), pages 581-603, December.
    3. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    4. Ludo Waltman & Nees Eck, 2013. "A smart local moving algorithm for large-scale modularity-based community detection," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 86(11), pages 1-14, November.
    5. Robert N. Broadus, 1987. "Early approaches to bibliometrics," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 38(2), pages 127-129, March.
    6. Mengyang Wang & Lihe Chai, 2018. "Three new bibliometric indicators/approaches derived from keyword analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 721-750, August.
    7. Alan E. Bayer & John C. Smart & Gerald W. McLaughlin, 1990. "Mapping intellectual structure of a scientific subfield through author cocitations," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(6), pages 444-452, September.
    8. Garfield, Eugene, 2009. "From the science of science to Scientometrics visualizing the history of science with HistCite software," Journal of Informetrics, Elsevier, vol. 3(3), pages 173-179.
    9. Milad Dehghani & Ki Joon Kim, 2019. "Past and Present Research on Wearable Technologies: Bibliometric and Cluster Analyses of Published Research from 2000 to 2016," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(01), pages 1-21, February.
    10. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    11. Wei Gao & Sam Emaminejad & Hnin Yin Yin Nyein & Samyuktha Challa & Kevin Chen & Austin Peck & Hossain M. Fahad & Hiroki Ota & Hiroshi Shiraki & Daisuke Kiriya & Der-Hsien Lien & George A. Brooks & Ron, 2016. "Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis," Nature, Nature, vol. 529(7587), pages 509-514, January.
    12. Chung-Chih Lin & Chih-Yu Yang & Zhuhuang Zhou & Shuicai Wu, 2018. "Intelligent health monitoring system based on smart clothing," International Journal of Distributed Sensor Networks, , vol. 14(8), pages 15501477187, August.
    13. Waltman, Ludo & van Eck, Nees Jan & Noyons, Ed C.M., 2010. "A unified approach to mapping and clustering of bibliometric networks," Journal of Informetrics, Elsevier, vol. 4(4), pages 629-635.
    14. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
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