Yihe Yang
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
Papers in
-
- Natural Language Processing Techniques 4
- Topic Modeling 4
- Co-authors
- Jin Liu (5 shared papers)Hui Chen (1 shared paper)Jin Wang (1 shared paper)Huihua He (3 shared papers)Jie Liao (2 shared papers)Jicheng Lv (3 shared papers)Guang‐Yu Yang (2 shared papers)Haonan Li (1 shared paper)
- Journals
- IEEE Access (3 papers)Journal of Multivariate Analysis (2 papers)Cancer Letters (2 papers)CardioVascular and Interventional Radiology (2 papers)Multimedia Systems (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yihe Yang
36 papers receiving 537 citations
Peers
Comparison fields: 5 of 128
- Nephrology 122
- Internal Medicine 41
- Hematology 44
- Pathology and Forensic Medicine 65
- Artificial Intelligence 97
Countries citing papers authored by Yihe Yang
This map shows the geographic impact of Yihe 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 Yihe Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yihe Yang more than expected).
Fields of papers citing papers by Yihe Yang
This network shows the impact of papers produced by Yihe 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 Yihe Yang. The network helps show where Yihe Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yihe 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
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 106 | |
| 2 | 2013 | 88 | |
| 3 | 2014 | 45 | |
| 4 | 2017 | 30 | |
| 5 | 2020 | 28 | |
| 6 | 2014 | 27 | |
| 7 | 2015 | 27 | |
| 8 | 2018 | 26 | |
| 9 | 2017 | 22 | |
| 10 | 2014 | 21 | |
| 11 | 2020 | 17 | |
| 12 | 2020 | 15 | |
| 13 | 2016 | 14 | |
| 14 | 2015 | 13 | |
| 15 | 2019 | 11 | |
| 16 | 2024 | 9 | |
| 17 | 2020 | 6 | |
| 18 | 2019 | 6 | |
| 19 | 2024 | 6 | |
| 20 | Clinical analysis of optimal timing for application of noninvasive positive pressure ventilation in treatment of AECOPD patients. | 2014 | 6 |
About Yihe Yang
Yihe Yang is a scholar working on Artificial Intelligence, Molecular Biology, Statistics and Probability, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition, having authored 40 papers that have together received 556 indexed citations. Recurring topics across this work include Statistical Methods and Inference (5 papers), Genetic Associations and Epidemiology (4 papers), Natural Language Processing Techniques (4 papers), Statistical Methods and Bayesian Inference (4 papers), Topic Modeling (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Nanoplatforms for cancer theranostics (3 papers) and Advanced Statistical Methods and Models (3 papers). The work is most often cited by research in Nephrology (122 citations), Internal Medicine (41 citations), Hematology (44 citations), Pathology and Forensic Medicine (65 citations) and Artificial Intelligence (97 citations). Yihe Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jin Liu, Hui Chen, Jin Wang, Huihua He, Jie Liao, Jicheng Lv, Guang‐Yu Yang, Haonan Li, Wanying Zhang and Min Chen. Their work appears in journals such as IEEE Access, Journal of Multivariate Analysis, Cancer Letters, CardioVascular and Interventional Radiology and Multimedia Systems.
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.