C. Weng
Impact in
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- Artificial Intelligence in Healthcare
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- Diabetic Foot Ulcer Assessment and Management
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Management and Research
Papers in ⓘ
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- Artificial Intelligence in Healthcare 2
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- Diabetes, Cardiovascular Risks, and Lipoproteins 3
- Diabetic Foot Ulcer Assessment and Management 3
- Diabetes Management and Education 2
- Co-authors
- D.V. Coppini (7 shared papers)Peter H. Sönksen (6 shared papers)Philip J. Young (3 shared papers)P.H. Sönksen (2 shared papers)Graeme Richards (1 shared paper)V. J. Rayward‐Smith (1 shared paper)A F Macleod (2 shared papers)Andreas Wellmer (1 shared paper)
- Journals
- Diabetic Medicine (4 papers)Artificial Intelligence in Medicine (1 paper)The Foot (1 paper)Journal of Medical Internet Research (1 paper)Frontiers in Cardiovascular Medicine (1 paper)
- Partner nations
- United KingdomChinaGermany
In The Last Decade
C. Weng
11 papers receiving 341 citations
Peers
Comparison fields: 5 of 87
- Health Information Management 50
- Endocrinology, Diabetes and Metabolism 144
- Health Informatics 9
- Occupational Therapy 22
- Rehabilitation 33
Countries citing papers authored by C. Weng
This map shows the geographic impact of C. Weng'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 C. Weng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Weng more than expected).
Fields of papers citing papers by C. Weng
This network shows the impact of papers produced by C. Weng. 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 C. Weng. The network helps show where C. Weng may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Weng, 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 | 2000 | 85 | |
| 2 | 2001 | 82 | |
| 3 | 2000 | 71 | |
| 4 | 1998 | 48 | |
| 5 | 2001 | 36 | |
| 6 | 2019 | 35 | |
| 7 | 1997 | 9 | |
| 8 | 2025 | 1 | |
| 9 | 2025 | 1 | |
| 10 | 1998 | 1 | |
| 11 | 1997 | 1 |
About C. Weng
C. Weng is a scholar working on Health Information Management, Endocrinology, Diabetes and Metabolism, Dermatology, Rehabilitation and Neurology, having authored 11 papers that have together received 370 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Diabetic Foot Ulcer Assessment and Management (3 papers), Skin Diseases and Diabetes (3 papers), Artificial Intelligence in Healthcare (2 papers), Wound Healing and Treatments (2 papers), Diabetes Management and Education (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Chronic Disease Management Strategies (2 papers). The work is most often cited by research in Health Information Management (50 citations), Endocrinology, Diabetes and Metabolism (144 citations), Health Informatics (9 citations), Occupational Therapy (22 citations) and Rehabilitation (33 citations). C. Weng has collaborated with scholars based in United Kingdom, China and Germany. Frequent co-authors include D.V. Coppini, Peter H. Sönksen, Philip J. Young, P.H. Sönksen, Graeme Richards, V. J. Rayward‐Smith, A F Macleod, Andreas Wellmer, Shaun T Alfreds and Son Q. Duong. Their work appears in journals such as Diabetic Medicine, Artificial Intelligence in Medicine, The Foot, Journal of Medical Internet Research and Frontiers in Cardiovascular Medicine.
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.