Research in neurorehabilitation from 2015 to 2024: a bibliometric analysis
10.3969/j.issn.1006-9771.2026.01.007
- VernacularTitle:2015年至2024年神经康复研究的文献计量分析
- Author:
Kaixiang GAO
1
;
Haitao LU
1
Author Information
1. Department of Neurorehabilitation, Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing 100068, China
- Publication Type:Journal Article
- Keywords:
neurorehabilitation;
artificial intelligence;
stroke;
spinal cord injury;
bibliometrics
- From:
Chinese Journal of Rehabilitation Theory and Practice
2026;32(1):59-68
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo analyze the application trends and research hotspots of neurological rehabilitation over the past decade. MethodsRelevant literatures on neurological rehabilitation published between January, 2015 and December, 2024 were retrieved from the Web of Science Core Collection database. Citespace 6.3.R1 was used for visualization analysis. ResultsA total of 8 727 articles were included, among which 1 117 were from China, with an overall upward trend in annual publication volume in both contexts. The United States was the most productive country, and Harvard University was the most prolific institution. The top three high-frequency keywords globally were spinal cord injury, neurological rehabilitation and virtual reality, whereas the top three high-frequency keywords in China were spinal cord injury, ischemic stroke and brain-computer interface. In recent years, bursting keywords in global included functional neurological disorder, artificial intelligence and deep learning, while bursting keywords in China were neurological function and machine learning. ConclusionOver the past ten years, the volume of global and Chinese researches on neurological rehabilitation has continued to increase. Neurological disorders such as stroke, spinal cord injury, traumatic brain injury and neurodegenerative diseases are the hotspots in this field. The application of emerging technologies, including artificial intelligence, virtual reality, and brain-computer interfaces, is driving the advancement of neurological rehabilitation.
