Haichun Yang
Impact in
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- Artificial Intelligence in Healthcare and Education
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- Renal Diseases and Glomerulopathies
Papers in
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- AI in cancer detection 4
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- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- Yuankai Huo (7 shared papers)Shilin Zhao (4 shared papers)Bennett A. Landman (3 shared papers)Lori A. Coburn (3 shared papers)Keith T. Wilson (3 shared papers)Yaohong Wang (3 shared papers)Yong Gu (3 shared papers)Tianyuan Yao (4 shared papers)
- Journals
- Journal of the American Society of Nephrology (1 paper)Lecture notes in computer science (1 paper)Journal of Medical Imaging (1 paper)Hong Kong Journal of Nephrology (1 paper)PubMed (5 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Haichun Yang
11 papers receiving 165 citations
Peers
Comparison fields: 5 of 69
- Health Informatics 8
- Nephrology 15
- Radiology, Nuclear Medicine and Imaging 44
- Neurology 11
- Artificial Intelligence 43
Countries citing papers authored by Haichun Yang
This map shows the geographic impact of Haichun Yang'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 Haichun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haichun Yang more than expected).
Fields of papers citing papers by Haichun Yang
This network shows the impact of papers produced by Haichun Yang. 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 Haichun Yang. The network helps show where Haichun Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Haichun Yang, 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 | 2023 | 98 | |
| 2 | 2025 | 18 | |
| 3 | 2004 | 13 | |
| 4 | [Production of aldosterone by rat mesangial cell and the accumulation of extracellular matrix induced by aldosterone]. | 2003 | 8 |
| 5 | [Renal protective effects of specific cyclooxygenase-2 inhibitor in rats with subtotal renal ablation]. | 2003 | 8 |
| 6 | 2024 | 6 | |
| 7 | Endothelin receptor antagonist combined with a calcium channel blocker attenuates renal injury in spontaneous hypertensive rats with diabetes. | 2002 | 5 |
| 8 | 2023 | 4 | |
| 9 | 2024 | 3 | |
| 10 | 2022 | 2 | |
| 11 | 2001 | 1 | |
| 12 | 2025 | 0 |
About Haichun Yang
Haichun Yang is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition and Nephrology, having authored 12 papers that have together received 166 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Digital Imaging for Blood Diseases (1 paper), Chronic Kidney Disease and Diabetes (1 paper), Brain Tumor Detection and Classification (1 paper), Clinical Reasoning and Diagnostic Skills (1 paper), Renal Diseases and Glomerulopathies (1 paper) and Blood Pressure and Hypertension Studies (1 paper). The work is most often cited by research in Health Informatics (8 citations), Nephrology (15 citations), Radiology, Nuclear Medicine and Imaging (44 citations), Neurology (11 citations) and Artificial Intelligence (43 citations). Haichun Yang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Yuankai Huo, Shilin Zhao, Bennett A. Landman, Lori A. Coburn, Keith T. Wilson, Yaohong Wang, Yong Gu, Tianyuan Yao, Ruining Deng and Yucheng Tang. Their work appears in journals such as Journal of the American Society of Nephrology, Lecture notes in computer science, Journal of Medical Imaging, Hong Kong Journal of Nephrology and PubMed.
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.