Ying Qing Chen
- Infectious Diseases top 2%
- Statistics and Probability top 1%
- Epidemiology top 10%
- General Health Professions top 5%
- Sociology and Political Science top 10%
- Co-authors
- Sen ChengMindy BensonKelley MeadeSylvia GuendelmanMei‐Cheng WangSteven J. SamuelsRongling WuJames M. Cheverud
- Topics
- HIV/AIDS Research and Interventions (31 papers)Statistical Methods and Inference (26 papers)Statistical Methods and Bayesian Inference (17 papers)
- Journals
- New England Journal of MedicineSHILAP Revista de lepidopterologíaJournal of the American Statistical Association
- Partner nations
- United StatesSouth AfricaMalawi
In The Last Decade
Ying Qing Chen
79 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 145
- Infectious Diseases 626
- Statistics and Probability 458
- Epidemiology 443
- General Health Professions 362
- Sociology and Political Science 160
Countries citing papers authored by Ying Qing Chen
This map shows the geographic impact of Ying Qing 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 Ying Qing Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Qing Chen more than expected).
Fields of papers citing papers by Ying Qing Chen
This network shows the impact of papers produced by Ying Qing 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 Ying Qing Chen. The network helps show where Ying Qing Chen may publish in the future.
Co-authorship network of co-authors of Ying Qing Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Ying Qing Chen. A scholar is included among the top collaborators of Ying Qing Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ying Qing Chen. Ying Qing Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 7 | |
| 7 | 40 | |
| 8 | 78 | |
| 9 | 2 | |
| 10 | 49 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 45 | |
| 14 | 1 | |
| 15 | 53 | |
| 16 | 75 | |
| 17 | 18 | |
| 18 | 37 | |
| 19 | 25 | |
| 20 | 4 |
About Ying Qing Chen
Ying Qing Chen is a scholar working on Statistics and Probability, Virology and Infectious Diseases, having authored 87 papers that have together received 1.7k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (31 papers), Statistical Methods and Inference (26 papers) and Statistical Methods and Bayesian Inference (17 papers). The work is most often cited by research in Statistics and Probability (458 citations), Infectious Diseases (626 citations) and Virology (154 citations). Ying Qing Chen has collaborated with scholars based in United States, South Africa and Malawi. Frequent co-authors include Sen Cheng, Mindy Benson, Kelley Meade, Sylvia Guendelman, Mei‐Cheng Wang, Steven J. Samuels, Rongling Wu, James M. Cheverud, Yijian Huang and Ravindre Panchia. Their work appears in journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.
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.