《中国康复理论与实践》 ›› 2026, Vol. 32 ›› Issue (1): 59-68.doi: 10.3969/j.issn.1006-9771.2026.01.007

• 循证研究 • 上一篇    下一篇

2015年至2024年神经康复研究的文献计量分析

高凯祥1, 芦海涛1,2()   

  1. 1.中国康复研究中心北京博爱医院神经康复中心,北京市 100068
    2.首都医科大学康复医学院,北京市 100068
  • 收稿日期:2025-07-25 修回日期:2025-10-02 出版日期:2026-01-25 发布日期:2026-01-28
  • 通讯作者: 芦海涛(1975-),女,博士,主任医师,主要研究方向:神经系统疾病康复。E-mail: 13051760807@163.com
  • 作者简介:高凯祥(1998-),男,汉族,河南三门峡市人,硕士研究生,主要研究方向:生物医学工程。

Research in neurorehabilitation from 2015 to 2024: a bibliometric analysis

GAO Kaixiang1, LU Haitao1,2()   

  1. 1. Department of Neurorehabilitation, Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing 100068, China
    2. Capital Medical University School of Rehabilitation Medicine, Beijing 100068, China
  • Received:2025-07-25 Revised:2025-10-02 Published:2026-01-25 Online:2026-01-28
  • Contact: LU Haitao, E-mail: 13051760807@163.com

摘要:

目的 分析近10年神经康复的研究热点及趋势。

方法 检索2015年1月至2024年12月Web of Science核心合集以神经康复为主题的文献。采用Citespace 6.3.R1对文献来源的国家、作者、机构和关键词等进行文献计量分析。

结果 共纳入8 727篇文献,其中来自于中国的有1 117篇。年发文量均呈上升趋势。发文量最多的国家是美国,发文量最多的机构是哈佛大学。全球频次前3的关键词为spinal cord injury、neurological rehabilitation和virtual reality,中国频次前3的关键词为spinal cord injury、ischemic stroke和brain-computer interface。近年全球研究出现的突现词包括functional neurological disorder、artificial intelligence和deep learning,中国研究出现的突现词为neurological function和machine learning。

结论 近10年全球和中国神经康复研究数量持续增长。脑卒中、脊髓损伤、脑外伤和神经退行性疾病等神经系统疾病为该领域研究热点。人工智能、虚拟现实和脑机接口等新技术正在推动神经康复领域发展。

关键词: 神经康复, 人工智能, 脑卒中, 脊髓损伤, 文献计量学

Abstract:

Objective To analyze the application trends and research hotspots of neurological rehabilitation over the past decade.

Methods Relevant 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.

Results A 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.

Conclusion Over 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.

Key words: neurorehabilitation, artificial intelligence, stroke, spinal cord injury, bibliometrics

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