Weijing Tang
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
- Hepatitis C virus research
Papers in
-
- Liver Disease Diagnosis and Treatment 3
-
- Hepatitis C virus research 3
- Co-authors
- Ji Zhu (3 shared papers)Monica A. Tincopa (1 shared paper)Amit G. Singal (2 shared papers)George N. Ioannou (3 shared papers)Lauren A. Beste (2 shared papers)Elliot B. Tapper (2 shared papers)Akbar K. Waljee (4 shared papers)Grace L. Su (3 shared papers)
- Journals
- Journal of the American Statistical Association (2 papers)Acta Oto-Laryngologica (2 papers)Radiotherapy and Oncology (1 paper)Canadian Respiratory Journal (1 paper)JAMA Network Open (1 paper)
- Partner nations
- United StatesChinaIran
In The Last Decade
Weijing Tang
17 papers receiving 319 citations
Peers
Comparison fields: 5 of 83
- Hepatology 70
- Biological Psychiatry 15
- Health Informatics 7
- Neurology 42
- Health Information Management 23
Countries citing papers authored by Weijing Tang
This map shows the geographic impact of Weijing Tang'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 Weijing Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weijing Tang more than expected).
Fields of papers citing papers by Weijing Tang
This network shows the impact of papers produced by Weijing Tang. 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 Weijing Tang. The network helps show where Weijing Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Weijing Tang, 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 | 2022 | 108 | |
| 2 | 2020 | 98 | |
| 3 | 2021 | 20 | |
| 4 | 2022 | 16 | |
| 5 | 2020 | 15 | |
| 6 | A Flexible Generative Framework for Graph-based Semi-supervised Learning | 2019 | 12 |
| 7 | 2016 | 12 | |
| 8 | 2023 | 10 | |
| 9 | 2016 | 9 | |
| 10 | 2018 | 9 | |
| 11 | 2017 | 5 | |
| 12 | 2021 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2019 | 1 | |
| 16 | 2020 | 1 | |
| 17 | [The change of negative pressure in the cupping-cup and its influence on the depth of filiform-needle insertion]. | 2010 | 1 |
| 18 | 2024 | 0 | |
| 19 | 2025 | 0 |
About Weijing Tang
Weijing Tang is a scholar working on Epidemiology, Hepatology, Health Information Management, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 19 papers that have together received 325 indexed citations. Recurring topics across this work include Hepatitis C virus research (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Artificial Intelligence in Healthcare (3 papers), Machine Learning in Healthcare (2 papers), Nonlinear Photonic Systems (1 paper), Single-cell and spatial transcriptomics (1 paper), Advanced biosensing and bioanalysis techniques (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Hepatology (70 citations), Biological Psychiatry (15 citations), Health Informatics (7 citations), Neurology (42 citations) and Health Information Management (23 citations). Weijing Tang has collaborated with scholars based in United States, China and Iran. Frequent co-authors include Ji Zhu, Monica A. Tincopa, Amit G. Singal, George N. Ioannou, Lauren A. Beste, Elliot B. Tapper, Akbar K. Waljee, Grace L. Su, Tony Van and William E. Lowry. Their work appears in journals such as Journal of the American Statistical Association, Acta Oto-Laryngologica, Radiotherapy and Oncology, Canadian Respiratory Journal and JAMA Network Open.
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.