Song Joo Lee
- Biomedical Engineering top 5%
- Physical Therapy, Sports Therapy and Rehabilitation top 2%
- Cognitive Neuroscience top 10%
- Surgery
- Psychiatry and Mental health top 10%
- Co-authors
- Joseph HidlerLi‐Qun ZhangYupeng RenKeun-Tae KimSang Hoon KangHyungmin KimAlison H. ChangLaehyun Kim
- Topics
- Muscle activation and electromyography studies (18 papers)EEG and Brain-Computer Interfaces (15 papers)Neuroscience and Neural Engineering (13 papers)
- Cited by
- Physical Therapy, Sports Therapy and RehabilitationRehabilitationOrthopedics and Sports Medicine
- Partner nations
- South KoreaUnited StatesPhilippines
In The Last Decade
Song Joo Lee
40 papers receiving 831 citations
Peers
Comparison fields: 5 of 72
- Biomedical Engineering 494
- Physical Therapy, Sports Therapy and Rehabilitation 235
- Cognitive Neuroscience 206
- Surgery 171
- Psychiatry and Mental health 149
Countries citing papers authored by Song Joo Lee
This map shows the geographic impact of Song Joo 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 Song Joo Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Joo Lee more than expected).
Fields of papers citing papers by Song Joo Lee
This network shows the impact of papers produced by Song Joo 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 Song Joo Lee. The network helps show where Song Joo Lee may publish in the future.
Co-authorship network of co-authors of Song Joo Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Song Joo Lee. A scholar is included among the top collaborators of Song Joo Lee 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 Song Joo Lee. Song Joo Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 15 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 7 | |
| 13 | 16 | |
| 14 | 8 | |
| 15 | 20 | |
| 16 | Estimating knee adduction moment in real-time on an elliptical trainer | 1 |
| 17 | 11 | |
| 18 | 38 | |
| 19 | 10 | |
| 20 | 4 |
About Song Joo Lee
Song Joo Lee is a scholar working on Human-Computer Interaction, Orthopedics and Sports Medicine and Cognitive Neuroscience, having authored 44 papers that have together received 856 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (18 papers), EEG and Brain-Computer Interfaces (15 papers) and Neuroscience and Neural Engineering (13 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (235 citations), Rehabilitation (128 citations) and Orthopedics and Sports Medicine (131 citations). Song Joo Lee has collaborated with scholars based in South Korea, United States and Philippines. Frequent co-authors include Joseph Hidler, Li‐Qun Zhang, Yupeng Ren, Keun-Tae Kim, Sang Hoon Kang, Hyungmin Kim, Alison H. Chang, Laehyun Kim, Dali Xu and Jie Liu. Their work appears in journals such as PLoS ONE, Scientific Reports and Journal of Applied Physiology.
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.