Sunghoon Ivan Lee

79 papers receiving 1.3k citations

Peers

Sunghoon Ivan Lee
Comparison fields: 5 of 111
  • Rehabilitation 326
  • Physical Therapy, Sports Therapy and Rehabilitation 143
  • Human-Computer Interaction 162
  • Health Informatics 24
  • Computer Vision and Pattern Recognition 243
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Michela Goffredo Italy
Samer Mohammed France
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Citations per year

Countries citing papers authored by Sunghoon Ivan Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sunghoon Ivan Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunghoon Ivan Lee. 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 Sunghoon Ivan Lee. The network helps show where Sunghoon Ivan Lee may publish in the future.

Co-authors

The 25 scholars most cited alongside Sunghoon Ivan Lee, 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 Sunghoon Ivan Lee Line = papers co-authored together Sunghoon Ivan Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016111
2 201881
3 202067
4 201963
5 202057
6 202047
7 201446
8 201538
9 202138
10 201934
11 201934
12 201934
13 201634
14 202031
15 201831
16 202230
17 202129
18 202226
19 201925
20 201225

About Sunghoon Ivan Lee

Sunghoon Ivan Lee is a scholar working on Rehabilitation, Biomedical Engineering, Electrical and Electronic Engineering, Physical Therapy, Sports Therapy and Rehabilitation and Computer Vision and Pattern Recognition, having authored 87 papers that have together received 1.4k indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (32 papers), Balance, Gait, and Falls Prevention (18 papers), Context-Aware Activity Recognition Systems (12 papers), Muscle activation and electromyography studies (10 papers), Energy Harvesting in Wireless Networks (10 papers), Indoor and Outdoor Localization Technologies (8 papers), Wireless Body Area Networks (7 papers) and Acute Ischemic Stroke Management (7 papers). The work is most often cited by research in Rehabilitation (326 citations), Physical Therapy, Sports Therapy and Rehabilitation (143 citations), Human-Computer Interaction (162 citations), Health Informatics (24 citations) and Computer Vision and Pattern Recognition (243 citations). Sunghoon Ivan Lee has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Paolo Bonato, Jie Xiong, Jean‐François Daneault, Dong Li, Majid Sarrafzadeh, Bobak J. Mortazavi, Randie M. Black‐Schaffer, Gloria Vergara-Díaz, Catherine Adans-Dester and Dingyi Fang. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, IEEE Transactions on Biomedical Engineering, Journal of NeuroEngineering and Rehabilitation and PLoS ONE.

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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