A Bibliometric Analysis of the Application of Brain-Computer Interface in Rehabilitation Medicine Over the Past 20 Years

Although the current research on BCI in rehabilitation medicine shows significant potential and efficacy, further exploration of certain research directions is needed, along with the promotion of interdisciplinary collaboration to comprehensively address complex real-world issues such as motor function impairment. Future research should focus on optimizing training models, enhancing technical feasibility, and exploring home rehabilitation applications to facilitate the broader adoption of BCI technology in rehabilitation medicine.

Authors

Institutions

Publication Details

Journal
Journal of Multidisciplinary Healthcare
Published
2025-03-01
DOI
https://doi.org/10.2147/jmdh.s509747
Citations
4
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
5.72
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Bibliometric Analysis of the Application of Brain-Computer Interface in Rehabilitation Medicine Over the Past 20 Years

Fanfu Fang, Lele Huang, Ying Li, Jun-Fu Huang
4 citations
Journal of Multidisciplinary Healthcare
EEG and Brain-Computer Interfaces
5.72
article

A Bibliometric Analysis of the Application of Brain-Computer Interface in Rehabilitation Medicine Over the Past 20 Years

Fanfu Fang, Lele Huang, Ying Li, Jun-Fu Huang
article en
4 citations

Abstract

Although the current research on BCI in rehabilitation medicine shows significant potential and efficacy, further exploration of certain research directions is needed, along with the promotion of interdisciplinary collaboration to comprehensively address complex real-world issues such as motor function impairment. Future research should focus on optimizing training models, enhancing technical feasibility, and exploring home rehabilitation applications to facilitate the broader adoption of BCI technology in rehabilitation medicine.

Journal of Multidisciplinary HealthcareVol. Volume 18
Peking University (CN), Peking University Third Hospital (CN)
Quality Education
Openalex Percentile: Top 5%
EEG and Brain-Computer Interfaces
5.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Bibliometric Analysis of the Application of Brain-Computer Interface in Rehabilitation Medicine Over the Past 20 Years — Fanfu Fang, Lele Huang, et al. · Journal of Multidisciplinary Healthcare (2025) | TGRS Research Map | TGRS