Cong Chen
Impact in
- Statistics and Probability top 2%
- Statistical Methods in Clinical Trials
-
- Optimal Experimental Design Methods
Papers in
-
- Statistical Methods in Clinical Trials 29
- Advanced Causal Inference Techniques 3
-
- Optimal Experimental Design Methods 15
- Co-authors
- Linda Sun (7 shared papers)Xiaoyun Li (8 shared papers)Eric H. Rubin (3 shared papers)Heng Zhou (8 shared papers)Robert A. Beckman (7 shared papers)Archie Tse (2 shared papers)Devan V. Mehrotra (2 shared papers)Cai Wu (5 shared papers)
- Journals
- Contemporary Clinical Trials (9 papers)Statistics in Biopharmaceutical Research (3 papers)Statistics in Medicine (3 papers)Journal of Biopharmaceutical Statistics (3 papers)Pharmaceutical Statistics (3 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Cong Chen
37 papers receiving 365 citations
Peers
Comparison fields: 5 of 64
- Statistics and Probability 184
- Management Science and Operations Research 81
- Cancer Research 50
- Statistics, Probability and Uncertainty 15
- Oncology 46
Countries citing papers authored by Cong Chen
This map shows the geographic impact of Cong 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 Cong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Chen more than expected).
Fields of papers citing papers by Cong Chen
This network shows the impact of papers produced by Cong 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 Cong Chen. The network helps show where Cong Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 42 | |
| 2 | 2014 | 38 | |
| 3 | 2016 | 36 | |
| 4 | 2020 | 32 | |
| 5 | 2013 | 26 | |
| 6 | 2020 | 18 | |
| 7 | 2020 | 17 | |
| 8 | 2019 | 16 | |
| 9 | 2021 | 16 | |
| 10 | 2017 | 12 | |
| 11 | 2017 | 11 | |
| 12 | 2018 | 10 | |
| 13 | 2021 | 9 | |
| 14 | 2020 | 9 | |
| 15 | 2013 | 9 | |
| 16 | 2019 | 7 | |
| 17 | 2002 | 7 | |
| 18 | 2018 | 6 | |
| 19 | 2006 | 5 | |
| 20 | 2021 | 5 |
About Cong Chen
Cong Chen is a scholar working on Statistics and Probability, Management Science and Operations Research, Immunology, Molecular Biology and Economics and Econometrics, having authored 41 papers that have together received 378 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (29 papers), Optimal Experimental Design Methods (15 papers), Cancer Genomics and Diagnostics (6 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), Biosimilars and Bioanalytical Methods (6 papers), Advanced Causal Inference Techniques (3 papers), Mathematical Biology Tumor Growth (3 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Statistics and Probability (184 citations), Management Science and Operations Research (81 citations), Cancer Research (50 citations), Statistics, Probability and Uncertainty (15 citations) and Oncology (46 citations). Cong Chen has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Linda Sun, Xiaoyun Li, Eric H. Rubin, Heng Zhou, Robert A. Beckman, Archie Tse, Devan V. Mehrotra, Cai Wu, Keaven M. Anderson and Nan Chen. Their work appears in journals such as Contemporary Clinical Trials, Statistics in Biopharmaceutical Research, Statistics in Medicine, Journal of Biopharmaceutical Statistics and Pharmaceutical Statistics.
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.