Shein‐Chung Chow
- Statistics and Probability top 5%
- Immunology
- Cardiology and Cardiovascular Medicine
- Economics and Econometrics top 10%
- Management Science and Operations Research top 10%
- Co-authors
- Jun WangJen‐pei LiuJun ShaoOliver Yoa‐Pu HuLászló EndrényiLászló TóthfalusiMi-Chia MaMichael J. Mack
- Topics
- Statistical Methods in Clinical Trials (9 papers)Statistical Methods and Bayesian Inference (3 papers)Optimal Experimental Design Methods (3 papers)
- Partner nations
- United StatesTaiwanTanzania
In The Last Decade
Shein‐Chung Chow
18 papers receiving 460 citations
Peers
Comparison fields: 5 of 89
- Statistics and Probability 116
- Immunology 109
- Cardiology and Cardiovascular Medicine 102
- Economics and Econometrics 75
- Management Science and Operations Research 54
Countries citing papers authored by Shein‐Chung Chow
This map shows the geographic impact of Shein‐Chung Chow'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 Shein‐Chung Chow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shein‐Chung Chow more than expected).
Fields of papers citing papers by Shein‐Chung Chow
This network shows the impact of papers produced by Shein‐Chung Chow. 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 Shein‐Chung Chow. The network helps show where Shein‐Chung Chow may publish in the future.
Co-authorship network of co-authors of Shein‐Chung Chow
This figure shows the co-authorship network connecting the top 25 collaborators of Shein‐Chung Chow. A scholar is included among the top collaborators of Shein‐Chung Chow 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 Shein‐Chung Chow. Shein‐Chung Chow 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 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 103 | |
| 7 | 33 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | 73 | |
| 11 | 72 | |
| 12 | 0 | |
| 13 | 10 | |
| 14 | 6 | |
| 15 | 12 | |
| 16 | 20 | |
| 17 | 4 | |
| 18 | 46 | |
| 19 | 15 | |
| 20 | 31 |
About Shein‐Chung Chow
Shein‐Chung Chow is a scholar working on Statistics and Probability, Management Science and Operations Research and Cardiology and Cardiovascular Medicine, having authored 21 papers that have together received 478 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (9 papers), Statistical Methods and Bayesian Inference (3 papers) and Optimal Experimental Design Methods (3 papers). The work is most often cited by research in Statistics and Probability (116 citations), Immunology (109 citations) and Cardiology and Cardiovascular Medicine (102 citations). Shein‐Chung Chow has collaborated with scholars based in United States, Taiwan and Tanzania. Frequent co-authors include Jun Wang, Jen‐pei Liu, Jun Shao, Oliver Yoa‐Pu Hu, László Endrényi, László Tóthfalusi, Mi-Chia Ma, Michael J. Mack, Eric D. Peterson and David R. Holmes. Their work appears in journals such as JAMA, Statistics in Medicine and BMC Infectious Diseases.
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.