Shing Chan
Impact in
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- Physical Activity and Health
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- Context-Aware Activity Recognition Systems
- Human Pose and Action Recognition
Papers in
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- Physical Activity and Health 6
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- Cardiovascular and exercise physiology 1
- Co-authors
- Aiden Doherty (6 shared papers)Rosemary Walmsley (3 shared papers)Derrick Bennett (3 shared papers)Mark Woodward (1 shared paper)Rema Ramakrishnan (1 shared paper)Kazem Rahimi (1 shared paper)Terence Dwyer (1 shared paper)Karl Smith-Byrne (1 shared paper)
- Journals
- British Journal of Sports Medicine (2 papers)International Journal of Behavioral Nutrition and Physical Activity (1 paper)npj Digital Medicine (1 paper)Medicine & Science in Sports & Exercise (1 paper)Journal for the Measurement of Physical Behaviour (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Shing Chan
6 papers receiving 261 citations
Shing Chan's Hit Papers
Peers
Comparison fields: 5 of 57
- Physiology 82
- Computer Vision and Pattern Recognition 43
- Complementary and alternative medicine 9
- Physical Therapy, Sports Therapy and Rehabilitation 5
- Experimental and Cognitive Psychology 13
Countries citing papers authored by Shing Chan
This map shows the geographic impact of Shing Chan'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 Shing Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shing Chan more than expected).
Fields of papers citing papers by Shing Chan
This network shows the impact of papers produced by Shing Chan. 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 Shing Chan. The network helps show where Shing Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Shing Chan, 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 | 2021 | 134 | |
| 2 | Self-supervised learning for human activity recognition using 700,000 person-days of wearable data Hit paper breakdown → | 2024 | 74 |
| 3 | 2021 | 24 | |
| 4 | 2025 | 12 | |
| 5 | 2024 | 11 | |
| 6 | 2023 | 8 |
About Shing Chan
Shing Chan is a scholar working on Physiology, Complementary and alternative medicine, Computer Vision and Pattern Recognition, Public Health, Environmental and Occupational Health and Biomedical Engineering, having authored 6 papers that have together received 263 indexed citations. Recurring topics across this work include Physical Activity and Health (6 papers), Context-Aware Activity Recognition Systems (1 paper), Obesity, Physical Activity, Diet (1 paper), Non-Invasive Vital Sign Monitoring (1 paper) and Cardiovascular and exercise physiology (1 paper). The work is most often cited by research in Physiology (82 citations), Computer Vision and Pattern Recognition (43 citations), Complementary and alternative medicine (9 citations), Physical Therapy, Sports Therapy and Rehabilitation (5 citations) and Experimental and Cognitive Psychology (13 citations). Shing Chan has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Aiden Doherty, Rosemary Walmsley, Derrick Bennett, Mark Woodward, Rema Ramakrishnan, Kazem Rahimi, Terence Dwyer, Karl Smith-Byrne, Hang Yuan and David Andrew Clifton. Their work appears in journals such as British Journal of Sports Medicine, International Journal of Behavioral Nutrition and Physical Activity, npj Digital Medicine, Medicine & Science in Sports & Exercise and Journal for the Measurement of Physical Behaviour.
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.