Tingyan Wang
Impact in
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- Artificial Intelligence in Healthcare
- Hepatology top 10%
- Hepatitis C virus research
Papers in
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- Hepatitis B Virus Studies 6
- Liver Disease Diagnosis and Treatment 3
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- Bone health and osteoporosis research 9
- Co-authors
- Robin G. Qiu (5 shared papers)Ming Yu (2 shared papers)Xiaohong Cheng (4 shared papers)Hongfei Gao (3 shared papers)Anna McNaughton (3 shared papers)Eleanor Barnes (4 shared papers)Philippa C. Matthews (5 shared papers)Cori Campbell (4 shared papers)
- Journals
- Journal of Clinical Densitometry (3 papers)Journal of Viral Hepatitis (2 papers)Cell Death and Disease (2 papers)Journal of Molecular Liquids (2 papers)Archives of Osteoporosis (2 papers)
- Partner nations
- ChinaUnited KingdomIreland
In The Last Decade
Tingyan Wang
31 papers receiving 601 citations
Peers
Comparison fields: 5 of 108
- Health Information Management 52
- Hepatology 62
- Orthopedics and Sports Medicine 56
- Endocrine and Autonomic Systems 31
- Epidemiology 137
Countries citing papers authored by Tingyan Wang
This map shows the geographic impact of Tingyan Wang'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 Tingyan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tingyan Wang more than expected).
Fields of papers citing papers by Tingyan Wang
This network shows the impact of papers produced by Tingyan Wang. 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 Tingyan Wang. The network helps show where Tingyan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Tingyan Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 98 | |
| 2 | 2016 | 66 | |
| 3 | 2020 | 62 | |
| 4 | 2020 | 60 | |
| 5 | 2017 | 43 | |
| 6 | 2020 | 34 | |
| 7 | 2019 | 28 | |
| 8 | 2020 | 27 | |
| 9 | 2017 | 24 | |
| 10 | 2014 | 23 | |
| 11 | 2019 | 22 | |
| 12 | 2017 | 21 | |
| 13 | 2017 | 21 | |
| 14 | 2020 | 12 | |
| 15 | 2021 | 9 | |
| 16 | 2021 | 8 | |
| 17 | 2017 | 8 | |
| 18 | 2021 | 7 | |
| 19 | 2021 | 6 | |
| 20 | 2025 | 6 |
About Tingyan Wang
Tingyan Wang is a scholar working on Epidemiology, Orthopedics and Sports Medicine, Health Information Management, Materials Chemistry and Artificial Intelligence, having authored 36 papers that have together received 611 indexed citations. Recurring topics across this work include Bone health and osteoporosis research (9 papers), Hepatitis B Virus Studies (6 papers), Machine Learning in Healthcare (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Artificial Intelligence in Healthcare (3 papers), Luminescence and Fluorescent Materials (3 papers), Hip and Femur Fractures (3 papers) and Liquid Crystal Research Advancements (2 papers). The work is most often cited by research in Health Information Management (52 citations), Hepatology (62 citations), Orthopedics and Sports Medicine (56 citations), Endocrine and Autonomic Systems (31 citations) and Epidemiology (137 citations). Tingyan Wang has collaborated with scholars based in China, United Kingdom and Ireland. Frequent co-authors include Robin G. Qiu, Ming Yu, Xiaohong Cheng, Hongfei Gao, Anna McNaughton, Eleanor Barnes, Philippa C. Matthews, Cori Campbell, Fu‐Sheng Wang and Ming Yu. Their work appears in journals such as Journal of Clinical Densitometry, Journal of Viral Hepatitis, Cell Death and Disease, Journal of Molecular Liquids and Archives of Osteoporosis.
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.