Bibliometric analysis on international cooperation of rehabilitation robots in China from 2000 to 2019_Journal of Biomedical Engineering

Authors：

ZHANG Ying ,  LIU Xiaoyu ,  FAN Yubo

Beijing Advanced Innovation Centre for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Chinese Education Ministry, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, P.R.China;

Corresponding author：

LIU Xiaoyu, Email: x.y.liu@buaa.edu.cn; FAN Yubo, Email: yubofan@buaa.edu.cn

Keywords：

rehabilitation robots; international cooperation; bibliometric; cooperation degree; cooperation rate

DOI：

10.7507/1001-5515.202005006

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Abstract Full text Figures/Tables Video References Cited by

Rapid development is undergoing in the field of rehabilitation robots, and more countries (regions) are participating in international cooperation and becoming academic contributors. Here in this study, the bibliometric method is used to determine the dynamics and developments of international cooperation in China. The publication data are indexed in Web of Science with search term of rehabilitation robot from 2000 to 2019. Compared with other countries (regions), publication with international co-authors and institutes participating in international cooperation are studied by assessment of indicators such as the cooperation degree, cooperation frequency, and the frequency of citations. The results show that in the past two decades, international scientific cooperation has shown a positive tendency in China, and participating in international collaboration could improve China’s impact on the global rehabilitation robot. The United States, England and Japan are the top three countries in number of cooperation with China. Our findings provide valuable information for researchers to better understand China’s international scientific collaboration in rehabilitation robot.

Citation： ZHANG Ying, LIU Xiaoyu, FAN Yubo. Bibliometric analysis on international cooperation of rehabilitation robots in China from 2000 to 2019. Journal of Biomedical Engineering, 2020, 37(4): 602-607. doi: 10.7507/1001-5515.202005006 Copy

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2.	黄小海, 喻洪流, 王金超, 等. 中央驱动式多自由度上肢康复训练机器人研究. 生物医学工程学杂志, 2018, 35(3): 452-459.
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7.	Lo A C, Guarino P D, Richards L G, <italic>et al</italic>. Robot-assisted therapy for long-term upper-limb impairment after stroke. N Engl J Med, 2010, 362(19): 1772-1783.
8.	吴宏健, 李莉娜, 李龙, 等. 脑卒中后手功能康复机器人综合干预研究进展. 生物医学工程学杂志, 2019, 36(1): 151-156.
9.	Glänzel W, Schubert A, Czerwon H J. A bibliometric analysis of international scientific cooperation of the European Union (1985–1995). Scientometrics, 1999, 45(2): 185-202.
10.	Yamashita Y, Okubo Y. Patterns of scientific collaboration between Japan and France: Inter-sectoral analysis using Probabilistic Partnership Index (PPI). Scientometrics, 2006, 68(2): 303-324.
11.	Aman V. How collaboration impacts citation flows within the German science system. Scientometrics, 2016, 109(3): 2195-2216.
12.	Pluskiewicz W, Drozdzowska B, Adamczyk P, <italic>et al</italic>. Scientific quality index: a composite size-independent metric compared with <italic>h</italic>-index for 480 medical researchers. Scientometrics, 2019, 119(2): 1009-1016.
13.	Zhou Ping, Glänzel W. In-depth analysis on China’s international cooperation in science. Scientometrics, 2010, 82(3): 597-612.
14.	Sarkisyan D B. The framework programs of the European Union: The organizational form of European scientific-technological cooperation. Scientific and Technical Information Processing, 2011, 38(4): 269-279.
15.	Mascarenhas C, Ferreira J J M, Marques C. University–industry cooperation: A systematic literature review and research agenda. Science and Public Policy, 2018, 45(5): 708-718.
16.	Hara N, Solomon P, Kim S L, <italic>et al</italic>. An emerging view of scientific collaboration: Scientists' perspectives on collaboration and factors that impact collaboration. J Am Soc Inform Sci Tech, 2003, 54(10): 952-965.
17.	Leclerc M, Gagné J. International scientific cooperation: The continentalization of science. Scientometrics, 1994, 31(3): 261-292.
18.	Hawkins D T. Unconventional uses of on-line information retrieval systems: On-line bibliometric studies. J Am Soc Inform Sci, 1977, 28(1): 13-18.
19.	Chen Chaomei, Dubin R, Kim M C. Emerging trends and new developments in regenerative medicine: a scientometric update (2000 – 2014). Expert Opin Biol Ther, 2014, 14(9): 1295-1317.
20.	Garfield E. Citation indexing for studying science. Nature, 1970, 227(5259): 669-671.
21.	Chen C. CiteSpace II: detecting and visualizing emerging trends and transient patterns in scientific literature. J Am Soc Inform Sci Tech, 2006, 57(3): 359-377.
22.	Small H G. A co-citation model of a scientific specialty: A longitudinal study of collagen research. Soc Stud Sci, 1977, 7(2): 139-166.
23.	Katz J S, Martin B R. What is research collaboration? Res Policy, 1997, 26(1): 1-18.
24.	Meng W, Liu Q, Zhou Z D. Recent development of mechanisms and control strategies for robot-assisted lower limb rehabilitation. Mechatronics, 2015, 31: 132-145.
25.	Yin Y H, Fan Y J, Xu L D. EMG and EPP-Integrated human–machine interface between the paralyzed and rehabilitation exoskeleton. IEEE Trans Inf Technol Biomed, 2012, 16(4): 542-549.
26.	He W, Ge S S, Li Y, <italic>et al</italic>. Neural network control of a rehabilitation robot by state and output. J Intell Robot Syst, 2015, 80(1): 15-31.

1. Gassert R, Dietz V. Rehabilitation robots for the treatment of sensorimotor deficits: a neurophysiological perspective. J Neuroeng Rehabil, 2018, 15(1): 46.
2. 黄小海, 喻洪流, 王金超, 等. 中央驱动式多自由度上肢康复训练机器人研究. 生物医学工程学杂志, 2018, 35(3): 452-459.
3. 邢蒙蒙, 魏国辉, 刘静, 等. 多模态人体动作表示识别及其正骨康复训练应用综述. 生物医学工程学杂志, 2020, 37(1): 174-178, 184.
4. Maciejasz P, Eschweiler J, Gerlach-Hahn K, <italic>et al</italic>. A survey on robotic devices for upper limb rehabilitation. J Neuroeng Rehabil, 2014, 11(1): 3.
5. Mao Y, Agrawal S K. Design of a cable-driven arm exoskeleton (CAREX) for neural rehabilitation. IEEE Trans Robot, 2012, 28(4): 922-931.
6. Krebs H I, Volpe B T, Aisen M L, <italic>et al</italic>. Increasing productivity and quality of care: robot-aided neuro-rehabilitation. J Rehabil Res Dev, 2000, 37(6): 639-652.
7. Lo A C, Guarino P D, Richards L G, <italic>et al</italic>. Robot-assisted therapy for long-term upper-limb impairment after stroke. N Engl J Med, 2010, 362(19): 1772-1783.
8. 吴宏健, 李莉娜, 李龙, 等. 脑卒中后手功能康复机器人综合干预研究进展. 生物医学工程学杂志, 2019, 36(1): 151-156.
9. Glänzel W, Schubert A, Czerwon H J. A bibliometric analysis of international scientific cooperation of the European Union (1985–1995). Scientometrics, 1999, 45(2): 185-202.
10. Yamashita Y, Okubo Y. Patterns of scientific collaboration between Japan and France: Inter-sectoral analysis using Probabilistic Partnership Index (PPI). Scientometrics, 2006, 68(2): 303-324.
11. Aman V. How collaboration impacts citation flows within the German science system. Scientometrics, 2016, 109(3): 2195-2216.
12. Pluskiewicz W, Drozdzowska B, Adamczyk P, <italic>et al</italic>. Scientific quality index: a composite size-independent metric compared with <italic>h</italic>-index for 480 medical researchers. Scientometrics, 2019, 119(2): 1009-1016.
13. Zhou Ping, Glänzel W. In-depth analysis on China’s international cooperation in science. Scientometrics, 2010, 82(3): 597-612.
14. Sarkisyan D B. The framework programs of the European Union: The organizational form of European scientific-technological cooperation. Scientific and Technical Information Processing, 2011, 38(4): 269-279.
15. Mascarenhas C, Ferreira J J M, Marques C. University–industry cooperation: A systematic literature review and research agenda. Science and Public Policy, 2018, 45(5): 708-718.
16. Hara N, Solomon P, Kim S L, <italic>et al</italic>. An emerging view of scientific collaboration: Scientists' perspectives on collaboration and factors that impact collaboration. J Am Soc Inform Sci Tech, 2003, 54(10): 952-965.
17. Leclerc M, Gagné J. International scientific cooperation: The continentalization of science. Scientometrics, 1994, 31(3): 261-292.
18. Hawkins D T. Unconventional uses of on-line information retrieval systems: On-line bibliometric studies. J Am Soc Inform Sci, 1977, 28(1): 13-18.
19. Chen Chaomei, Dubin R, Kim M C. Emerging trends and new developments in regenerative medicine: a scientometric update (2000 – 2014). Expert Opin Biol Ther, 2014, 14(9): 1295-1317.
20. Garfield E. Citation indexing for studying science. Nature, 1970, 227(5259): 669-671.
21. Chen C. CiteSpace II: detecting and visualizing emerging trends and transient patterns in scientific literature. J Am Soc Inform Sci Tech, 2006, 57(3): 359-377.
22. Small H G. A co-citation model of a scientific specialty: A longitudinal study of collagen research. Soc Stud Sci, 1977, 7(2): 139-166.
23. Katz J S, Martin B R. What is research collaboration? Res Policy, 1997, 26(1): 1-18.
24. Meng W, Liu Q, Zhou Z D. Recent development of mechanisms and control strategies for robot-assisted lower limb rehabilitation. Mechatronics, 2015, 31: 132-145.
25. Yin Y H, Fan Y J, Xu L D. EMG and EPP-Integrated human–machine interface between the paralyzed and rehabilitation exoskeleton. IEEE Trans Inf Technol Biomed, 2012, 16(4): 542-549.
26. He W, Ge S S, Li Y, <italic>et al</italic>. Neural network control of a rehabilitation robot by state and output. J Intell Robot Syst, 2015, 80(1): 15-31.

Journal of Biomedical Engineering

Bibliometric analysis on international cooperation of rehabilitation robots in China from 2000 to 2019

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