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Visualising the knowledge structure and evolution of wearable device research

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Pages 207-222 | Received 28 Dec 2020, Accepted 17 Jan 2021, Published online: 26 Mar 2021
 

Abstract

In recent years, the literature associated with wearable devices has grown rapidly, but few studies have used bibliometrics and a visualisation approach to conduct deep mining and reveal a panorama of the wearable devices field. To explore the foundational knowledge and research hotspots of the wearable devices field, this study conducted a series of bibliometric analyses on the related literature, including papers’ production trends in the field and the distribution of countries, a keyword co-occurrence analysis, theme evolution analysis and research hotspots and trends for the future. By conducting a literature content analysis and structure analysis, we found the following: (a) The subject evolution path includes sensor research, sensitivity research and multi-functional device research. (b) Wearable device research focuses on information collection, sensor materials, manufacturing technology and application, artificial intelligence technology application, energy supply and medical applications. The future development trend will be further studied in combination with big data analysis, telemedicine and personalised precision medical application.

Author contributions

Study conception and design: H.Q.

Manuscript writing and preparation: C.W.

Data collection and analysis: C.W.

Based on C.W. work, H.Q. conducted further improvement and completed the revised version of the article.

All authors read and approved the manuscript.

Disclosure statement

The authors declare that they have no competing interests.

Additional information

Funding

The data collection, analysis, and interpretation of this research were partially supported by the Double First Class Construction Fund of Peking University under grant Nos. 71017Y2012.

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