Jin‐Shin Lai

5.3k citations
171 papers · 4.2k indexed · h-index 34
Topics
Muscle activation and electromyography studies (45 papers)Stroke Rehabilitation and Recovery (34 papers)EEG and Brain-Computer Interfaces (21 papers)
Partner nations
TaiwanUnited StatesJapan

In The Last Decade

Jin‐Shin Lai

166 papers receiving 4.0k citations

Peers

Jin‐Shin Lai
Comparison fields: 5 of 175
  • Rehabilitation 1.1k
  • Biomedical Engineering 1.1k
  • Physical Therapy, Sports Therapy and Rehabilitation 953
  • Complementary and alternative medicine 564
  • Psychiatry and Mental health 536
Replace Malcolm Granat with:
Malcolm Granat United Kingdom
Eli Carmeli Israel
Richard A. Washburn United States
Carel G. M. Meskers Netherlands
Luci Fuscaldi Teixeira‐Salmela Brazil
Eling D. de Bruin Switzerland
Maria A. Fiatarone Singh Australia
Jorunn L. Helbostad Norway
Johannes B. J. Bussmann Netherlands
Yong‐Hao Pua Singapore
Jin‐Shin Lai relative to Malcolm Granat United Kingdom Malcolm Granat's profile →
Citations per field
00.5×1.5×
Malcolm Granat · 1×
Citations per year

Countries citing papers authored by Jin‐Shin Lai

Since Specialization
Citations

This map shows the geographic impact of Jin‐Shin Lai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jin‐Shin Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin‐Shin Lai more than expected).

Fields of papers citing papers by Jin‐Shin Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin‐Shin Lai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jin‐Shin Lai. The network helps show where Jin‐Shin Lai may publish in the future.

Co-authorship network of co-authors of Jin‐Shin Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐Shin Lai. A scholar is included among the top collaborators of Jin‐Shin Lai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jin‐Shin Lai. Jin‐Shin Lai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 3
3 15
4
Arm exoskeleton rehabilitation robot with assistive system for patient after stroke
14
5 20
6 6
7 2
8 29
9 77
10
Development and Application of a Versatile FES System
2
11 37
12 183
13 92
14 125
15 16
16 34
17 47
18 28
19 7
20 36

About Jin‐Shin Lai

Jin‐Shin Lai is a scholar working on Rehabilitation, Physical Therapy, Sports Therapy and Rehabilitation and Human-Computer Interaction, having authored 171 papers that have together received 4.2k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (45 papers), Stroke Rehabilitation and Recovery (34 papers) and EEG and Brain-Computer Interfaces (21 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (953 citations), Rehabilitation (1.1k citations) and Complementary and alternative medicine (564 citations). Jin‐Shin Lai has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Ching Lan, Ssu‐Yuan Chen, May‐Kuen Wong, Te‐Son Kuo, Jer-Junn Luh, Cheng‐Kung Cheng, Gwo-Ching Chang, I‐Nan Lien, Li‐Chen Fu and Chen‐Te Chou. Their work appears in journals such as The Science of The Total Environment, The Journal of Physiology and American Journal of Epidemiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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