Yihe Yang
Impact in
- Nephrology top 10%
- Renal Diseases and Glomerulopathies
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
Papers in
-
- Topic Modeling 4
- Natural Language Processing Techniques 4
-
- Hepatocellular Carcinoma Treatment and Prognosis 3
- Co-authors
- Jin Liu (5 shared papers)Jin Wang (1 shared paper)Hui Chen (1 shared paper)Huihua He (3 shared papers)Jie Liao (2 shared papers)Guang‐Yu Yang (2 shared papers)Wanying Zhang (1 shared paper)Haonan Li (1 shared paper)
- Journals
- Journal of Applied Polymer Science (3 papers)IEEE Access (3 papers)Circulation Cardiovascular Interventions (2 papers)Cancer Letters (2 papers)CardioVascular and Interventional Radiology (2 papers)
- Partner nations
- United StatesChinaPhilippines
In The Last Decade
Yihe Yang
40 papers receiving 609 citations
Peers
Comparison fields: 5 of 127
- Nephrology 92
- Internal Medicine 38
- Hepatology 25
- Artificial Intelligence 108
- Hematology 29
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 120 | |
| 2 | 2013 | 95 | |
| 3 | 2014 | 47 | |
| 4 | 2017 | 36 | |
| 5 | 2020 | 33 | |
| 6 | 2014 | 26 | |
| 7 | 2018 | 26 | |
| 8 | 2017 | 25 | |
| 9 | 2014 | 20 | |
| 10 | 2020 | 20 | |
| 11 | 2024 | 18 | |
| 12 | 2020 | 17 | |
| 13 | 2010 | 15 | |
| 14 | 2011 | 15 | |
| 15 | 2016 | 14 | |
| 16 | 2015 | 13 | |
| 17 | 2019 | 13 | |
| 18 | 2024 | 9 | |
| 19 | 2008 | 8 | |
| 20 | 2019 | 7 |
About Yihe Yang
Yihe Yang is a scholar working on Artificial Intelligence, Hepatology, Statistics and Probability, Internal Medicine and Genetics, having authored 42 papers that have together received 631 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (5 papers), Topic Modeling (4 papers), Natural Language Processing Techniques (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Statistical Methods and Bayesian Inference (3 papers), Statistical Methods and Inference (3 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Nephrology (92 citations), Internal Medicine (38 citations), Hepatology (25 citations), Artificial Intelligence (108 citations) and Hematology (29 citations). Yihe Yang has collaborated with scholars based in United States, China and Philippines. Frequent co-authors include Jin Liu, Jin Wang, Hui Chen, Huihua He, Jie Liao, Guang‐Yu Yang, Wanying Zhang, Haonan Li, Jicheng Lv and Min Chen. Their work appears in journals such as Journal of Applied Polymer Science, IEEE Access, Circulation Cardiovascular Interventions, Cancer Letters and CardioVascular and Interventional Radiology.
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.