Ling-Fung Yeung
- Biomedical Engineering top 10%
- Rehabilitation top 2%
- Psychiatry and Mental health top 10%
- Cardiology and Cardiovascular Medicine
- Physical Therapy, Sports Therapy and Rehabilitation top 5%
- Co-authors
- Raymond Kai‐Yu TongKenneth C. ChengWinson C.C. LeeHonwah WaiDan DuT. YipJohn E. SandersonMei Wang
- Topics
- Stroke Rehabilitation and Recovery (7 papers)Prosthetics and Rehabilitation Robotics (7 papers)Muscle activation and electromyography studies (5 papers)
- Cited by
- RehabilitationPhysical Therapy, Sports Therapy and RehabilitationPsychiatry and Mental health
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Ling-Fung Yeung
14 papers receiving 649 citations
Peers
Comparison fields: 5 of 83
- Biomedical Engineering 268
- Rehabilitation 190
- Psychiatry and Mental health 149
- Cardiology and Cardiovascular Medicine 141
- Physical Therapy, Sports Therapy and Rehabilitation 109
Countries citing papers authored by Ling-Fung Yeung
This map shows the geographic impact of Ling-Fung Yeung'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 Ling-Fung Yeung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling-Fung Yeung more than expected).
Fields of papers citing papers by Ling-Fung Yeung
This network shows the impact of papers produced by Ling-Fung Yeung. 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 Ling-Fung Yeung. The network helps show where Ling-Fung Yeung may publish in the future.
Co-authorship network of co-authors of Ling-Fung Yeung
This figure shows the co-authorship network connecting the top 25 collaborators of Ling-Fung Yeung. A scholar is included among the top collaborators of Ling-Fung Yeung 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 Ling-Fung Yeung. Ling-Fung Yeung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 39 | |
| 4 | 91 | |
| 5 | 18 | |
| 6 | 96 | |
| 7 | 50 | |
| 8 | 20 | |
| 9 | 101 | |
| 10 | 14 | |
| 11 | 49 | |
| 12 | 20 | |
| 13 | 144 | |
| 14 | 10 |
About Ling-Fung Yeung
Ling-Fung Yeung is a scholar working on Rehabilitation, Physical Therapy, Sports Therapy and Rehabilitation and Biomedical Engineering, having authored 14 papers that have together received 659 indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (7 papers), Prosthetics and Rehabilitation Robotics (7 papers) and Muscle activation and electromyography studies (5 papers). The work is most often cited by research in Rehabilitation (190 citations), Physical Therapy, Sports Therapy and Rehabilitation (109 citations) and Psychiatry and Mental health (149 citations). Ling-Fung Yeung has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Raymond Kai‐Yu Tong, Kenneth C. Cheng, Winson C.C. Lee, Honwah Wai, Dan Du, T. Yip, John E. Sanderson, Mei Wang, CM Yu and Gabriel Wai‐Kwok Yip. Their work appears in journals such as Sensors, American Journal of Kidney Diseases and Heart.
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.