Suncheol Kwon

421 citations
32 papers · 288 · h-index 9

Impact in

Papers in

Suncheol Kwon

26 papers receiving 282 citations

Peers

Suncheol Kwon
Comparison fields: 5 of 52
  • Rehabilitation 69
  • Cognitive Neuroscience 120
  • Biomedical Engineering 232
  • Human-Computer Interaction 25
  • Cellular and Molecular Neuroscience 35
Replace Youngjin Na with:
Youngjin Na South Korea
Jaehyo Kim South Korea
Sangjoon J. Kim South Korea
Ya‐Hsin Hsueh Taiwan
Yixuan Sheng China
John Head United Kingdom
Gon Khang South Korea
Jeff Kilby New Zealand
Rahman Davoodi United States
Guillermo Asín-Prieto Spain
Suncheol Kwon relative to Youngjin Na South Korea Youngjin Na's profile →
Citations per field
00.5×5.3×
Youngjin Na · 1×
Citations per year

Countries citing papers authored by Suncheol Kwon

Since Specialization
Citations

This map shows the geographic impact of Suncheol Kwon'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 Suncheol Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suncheol Kwon more than expected).

Fields of papers citing papers by Suncheol Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suncheol Kwon. 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 Suncheol Kwon. The network helps show where Suncheol Kwon may publish in the future.

Co-authors

The 25 scholars most cited alongside Suncheol Kwon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Suncheol Kwon Line = papers co-authored together Suncheol Kwon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201064
2 201148
3 200229
4 201222
5 200221
6 202019
7 201414
8 201213
9 20098
10 20107
11 20097
12 20217
13 20234
14 20093
15 20233
16 19943
17 20093
18 20083
19
Real-time motion intention estimation based using surface electromyography for collision avoidance
20092
20 20202

About Suncheol Kwon

Suncheol Kwon is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Rehabilitation, Psychiatry and Mental health and Physical Therapy, Sports Therapy and Rehabilitation, having authored 32 papers that have together received 288 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (17 papers), Motor Control and Adaptation (10 papers), Stroke Rehabilitation and Recovery (9 papers), EEG and Brain-Computer Interfaces (7 papers), Cerebral Palsy and Movement Disorders (6 papers), Prosthetics and Rehabilitation Robotics (6 papers), Balance, Gait, and Falls Prevention (4 papers) and Botulinum Toxin and Related Neurological Disorders (3 papers). The work is most often cited by research in Rehabilitation (69 citations), Cognitive Neuroscience (120 citations), Biomedical Engineering (232 citations), Human-Computer Interaction (25 citations) and Cellular and Molecular Neuroscience (35 citations). Suncheol Kwon has collaborated with scholars based in South Korea and United States. Frequent co-authors include Jung Kim, Hae‐Dong Lee, Wonil Park, Changmok Choi, Won Il Park, Joon‐Ho Shin, C. J. Stanley, Jonghyun Kim, Hyung‐Soon Park and Ki‐Uk Kyung. Their work appears in journals such as Journal of NeuroEngineering and Rehabilitation, International Journal of Precision Engineering and Manufacturing, IEEE Transactions on Biomedical Engineering, Computer Aided Surgery and International Journal of Production Economics.

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.

Explore authors with similar magnitude of impact