Pingyan Chen
Impact in
- Nephrology top 2%
- Acute Kidney Injury Research
-
- Probability and Risk Models
Papers in
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- Probability and Risk Models 62
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- Statistical Distribution Estimation and Applications 19
- Random Matrices and Applications 17
- Co-authors
- Chun‐Quan Ou (11 shared papers)Soo Hak Sung (26 shared papers)Jun Yang (5 shared papers)Li Li (6 shared papers)Yan Ding (1 shared paper)Andrei Volodin (9 shared papers)Chongyang Duan (22 shared papers)Ming Tan (8 shared papers)
- Journals
- Journal of Inequalities and Applications (11 papers)PLoS ONE (6 papers)Medicine (4 papers)Revista de la Real Academia de Ciencias Exactas Físicas y Naturales Serie A Matemáticas (4 papers)Scientific Reports (3 papers)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Pingyan Chen
158 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 155
- Nephrology 299
- Management Science and Operations Research 507
- Statistics and Probability 309
- Health, Toxicology and Mutagenesis 426
- Mathematical Physics 209
Countries citing papers authored by Pingyan Chen
This map shows the geographic impact of Pingyan Chen'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 Pingyan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingyan Chen more than expected).
Fields of papers citing papers by Pingyan Chen
This network shows the impact of papers produced by Pingyan Chen. 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 Pingyan Chen. The network helps show where Pingyan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Pingyan Chen, 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 165 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 201 | |
| 2 | 2018 | 85 | |
| 3 | 2016 | 73 | |
| 4 | 2016 | 59 | |
| 5 | 2015 | 57 | |
| 6 | 2016 | 56 | |
| 7 | 2009 | 55 | |
| 8 | 2011 | 53 | |
| 9 | 2013 | 50 | |
| 10 | 2015 | 50 | |
| 11 | 2015 | 49 | |
| 12 | 2014 | 48 | |
| 13 | 2019 | 45 | |
| 14 | 2012 | 42 | |
| 15 | 2012 | 41 | |
| 16 | 2011 | 41 | |
| 17 | 1999 | 41 | |
| 18 | 2018 | 40 | |
| 19 | 2018 | 40 | |
| 20 | 2013 | 39 |
About Pingyan Chen
Pingyan Chen is a scholar working on Management Science and Operations Research, Statistics and Probability, Mathematical Physics, Finance and Nephrology, having authored 165 papers that have together received 2.3k indexed citations. Recurring topics across this work include Probability and Risk Models (62 papers), Stochastic processes and statistical mechanics (29 papers), Statistical Distribution Estimation and Applications (19 papers), Acute Kidney Injury Research (18 papers), Random Matrices and Applications (17 papers), Financial Risk and Volatility Modeling (12 papers), Stochastic processes and financial applications (9 papers) and Bayesian Methods and Mixture Models (9 papers). The work is most often cited by research in Nephrology (299 citations), Management Science and Operations Research (507 citations), Statistics and Probability (309 citations), Health, Toxicology and Mutagenesis (426 citations) and Mathematical Physics (209 citations). Pingyan Chen has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Chun‐Quan Ou, Soo Hak Sung, Jun Yang, Li Li, Yan Ding, Andrei Volodin, Chongyang Duan, Ming Tan, Yuming Guo and Jiyan Chen. Their work appears in journals such as Journal of Inequalities and Applications, PLoS ONE, Medicine, Revista de la Real Academia de Ciencias Exactas Físicas y Naturales Serie A Matemáticas and Scientific Reports.
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.