Application and Development of Brain-Computer Interface in Rehabilitation: A Literature Metrics Analysis Using VOSviewer and CiteSpace

The application of brain-computer interface in rehabilitation is an important subject in neuroengineering. This paper analyzes the Science Citation Index from the Web of Science Core Collection between January 1, 2014 and October 1, 2024 using a bibliometrics method based on VOSviewer and CiteSpace Expanded(SCIEXPANDED)–1998-presentSocial and Sciences Citation Index(SSCI)– Literature from 2002-present. The author with the most papers is guan cuntai, the country with the most papers is China, and the institution with the most papers is Aalborg University. The key words are evolving towards the artificial intelligence style research methods of task analysis and brain modeling, etc.

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Published
2024-10-18
DOI
https://doi.org/10.1145/3703847.3703894
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
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Application and Development of Brain-Computer Interface in Rehabilitation: A Literature Metrics Analysis Using VOSviewer and CiteSpace

Changchuan Yang
EEG and Brain-Computer Interfaces
article

Application and Development of Brain-Computer Interface in Rehabilitation: A Literature Metrics Analysis Using VOSviewer and CiteSpace

Changchuan Yang
article en

Abstract

The application of brain-computer interface in rehabilitation is an important subject in neuroengineering. This paper analyzes the Science Citation Index from the Web of Science Core Collection between January 1, 2014 and October 1, 2024 using a bibliometrics method based on VOSviewer and CiteSpace Expanded(SCIEXPANDED)–1998-presentSocial and Sciences Citation Index(SSCI)– Literature from 2002-present. The author with the most papers is guan cuntai, the country with the most papers is China, and the institution with the most papers is Aalborg University. The key words are evolving towards the artificial intelligence style research methods of task analysis and brain modeling, etc.

Tianjin University (CN)
Openalex Percentile: Top 77%
EEG and Brain-Computer Interfaces
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