Chinese Journal of Rehabilitation Theory and Practice ›› 2024, Vol. 30 ›› Issue (12): 1428-1435.doi: 10.3969/j.issn.1006-9771.2024.12.008

Previous Articles     Next Articles

Intelligent rehabilitation in China: a bibliometric analysis

WANG Hujun1, WANG Jingxuan2, WANG Binglong1(), HU Zhimin1()   

  1. 1. School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100035, China
    2. Capital Medical University, Beijing 100069, China
  • Received:2024-11-26 Published:2024-12-25 Online:2024-12-30
  • Contact: WANG Binglong, E-mail: wangbinglong@sph.pumc.edu.cn;HU Zhimin, E-mail: huzhimin@pumc.edu.cn
  • Supported by:
    Science and Technology Innovation 2030-Major Project for the Prevention and Treatment of Cancer, Cardiovascular, Respiratory, and Metabolic Diseases(2023ZD0509700);Science and Technology Innovation 2030-Major Project for the Prevention and Treatment of Cancer, Cardiovascular, Respiratory, and Metabolic Diseases(2023ZD0509701)

Abstract:

Objective To analyze the current situation and frontier trends of the research on intelligent rehabilitation in China.

Methods Literatures with the theme of intelligent rehabilitation were retrieved from CNKI, Wanfang database and VIP database from 2014 to 2024, and visual analysis was carried out using CiteSpace 6.2.R4.

Results A total of 1 861 Chinese literatures were included. The annual number of publications in the field of intelligent rehabilitation in China showed an upward trend, reaching the highest value of 659 in 2023. The institution that has published the largest number of Chinese literature is Shanghai University of Science and Technology. The high-frequency Chinese keywords included stroke, rehabilitation training, robot, etc., and the bursting keywords included early intervention, newborn, cerebral palsy, etc.

Conclusion The annual number of publications in the field of intelligent rehabilitation is on the rise. Artificial intelligence, stroke and intellectual development are the key research areas. In-depth research on the application of technologies such as artificial intelligence and robots in the field of rehabilitation and focusing on the rehabilitation needs of special populations may be the research trends in the future.

Key words: intelligent rehabilitation, bibliometrics

CLC Number: