Global Trends in Research of Brain‐Computer Interfaces in Neuroscience From 2014 to 2023: A Bibliometric Analysis
Year: 2026
Type: article
Abstract: AIM: Brain-computer interfaces (BCIs) represent a promising technology for addressing neurological disorders, with growing research interest globally. This study aimed to map global research trends in BCI neuroscience from 2014 to 2023 via bibliometric analysis, identifying key contributors and hot topics to inform future research. METHODS: A total of 2386 publications related to BCIs in neuroscience were retrieved from the Web of Science Core Collection. Bibliometric analyses, including co-authorship networks, keyword co-occurrence, and burst detection, were performed using VOSviewer, R, and CiteSpace. The study analyzed publications by country, institution, journal, author, and keyword to map the landscape of global research activity. RESULTS: China emerged as the country with the highest number of publications, and the International Journal of Neural Engineering was the most productive journal. Co-authorship analysis revealed collaborative networks across global institutions, while keyword co-occurrence and burst detection identified electroencephalography (EEG), rehabilitation, and motor cortex as the most prominent research hotspots in recent years. CONCLUSION: This analysis provides a reference for researchers and data support for future studies, clarifying the global landscape and priorities in BCI neuroscience research.
Source: CNS Neuroscience & Therapeutics
DOI: 10.1002/cns.70851
Authors: Yangfan Yu, Wentong Liu, Sirui Ju, Lishan He, Nanting Chen, Alexandr N. Chernov, Jianfeng Zhang, Jinning Mao, Guodong Liu
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $4,140
OpenAlex ID: W7142042735