Leng-Feng Lee
Impact in
- Rehabilitation top 10%
- Stroke Rehabilitation and Recovery
Papers in
-
- Muscle activation and electromyography studies 4
- Prosthetics and Rehabilitation Robotics 3
- Soft Robotics and Applications 2
-
- Robotic Mechanisms and Dynamics 3
- Robot Manipulation and Learning 3
- Co-authors
- Brian R. Umberger (3 shared papers)Venkat Krovi (13 shared papers)Jack T. Stern (2 shared papers)Susan G. Larson (2 shared papers)Brigitte Demes (2 shared papers)Matthew C. O’Neill (2 shared papers)Frank C. Mendel (4 shared papers)Kun Yu (2 shared papers)
- Journals
- Journal of Experimental Biology (1 paper)Journal of Human Evolution (1 paper)PeerJ (1 paper)IEEE Transactions on Robotics (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Leng-Feng Lee
16 papers receiving 281 citations
Peers
Comparison fields: 5 of 56
- Rehabilitation 35
- Physical Therapy, Sports Therapy and Rehabilitation 20
- Biomedical Engineering 185
- Paleontology 26
- Orthopedics and Sports Medicine 25
Countries citing papers authored by Leng-Feng Lee
This map shows the geographic impact of Leng-Feng 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 Leng-Feng Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leng-Feng Lee more than expected).
Fields of papers citing papers by Leng-Feng Lee
This network shows the impact of papers produced by Leng-Feng 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 Leng-Feng Lee. The network helps show where Leng-Feng Lee may publish in the future.
Co-authors
The 14 scholars most cited alongside Leng-Feng Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 66 | |
| 2 | 2016 | 61 | |
| 3 | 2013 | 54 | |
| 4 | 2010 | 20 | |
| 5 | 2009 | 19 | |
| 6 | 2009 | 16 | |
| 7 | 2010 | 14 | |
| 8 | 2010 | 9 | |
| 9 | 2006 | 8 | |
| 10 | 2006 | 7 | |
| 11 | 2009 | 4 | |
| 12 | 2003 | 3 | |
| 13 | 2010 | 3 | |
| 14 | ANALYSIS AND DESIGN OPTIMIZATION OF IN- PARALLEL HAPTIC DEVICES | 2010 | 2 |
| 15 | 2007 | 2 | |
| 16 | 2008 | 2 | |
| 17 | 2008 | 2 |
About Leng-Feng Lee
Leng-Feng Lee is a scholar working on Biomedical Engineering, Control and Systems Engineering, Mechanical Engineering, Social Psychology and Pharmacology, having authored 17 papers that have together received 292 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (4 papers), Teleoperation and Haptic Systems (4 papers), Robotic Mechanisms and Dynamics (3 papers), Robot Manipulation and Learning (3 papers), Prosthetics and Rehabilitation Robotics (3 papers), Stroke Rehabilitation and Recovery (3 papers), Musculoskeletal pain and rehabilitation (3 papers) and Soft Robotics and Applications (2 papers). The work is most often cited by research in Rehabilitation (35 citations), Physical Therapy, Sports Therapy and Rehabilitation (20 citations), Biomedical Engineering (185 citations), Paleontology (26 citations) and Orthopedics and Sports Medicine (25 citations). Leng-Feng Lee has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Brian R. Umberger, Venkat Krovi, Jack T. Stern, Susan G. Larson, Brigitte Demes, Matthew C. O’Neill, Frank C. Mendel, Kun Yu, Nathan E. Thompson and Chin Pei Tang. Their work appears in journals such as Journal of Experimental Biology, Journal of Human Evolution, PeerJ and IEEE Transactions on Robotics.
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.