Heng Zhou
Impact in
- Statistics and Probability top 2%
- Statistical Methods in Clinical Trials
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- Optimal Experimental Design Methods
Papers in
-
- Statistical Methods in Clinical Trials 18
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- Optimal Experimental Design Methods 13
- Co-authors
- Ying Yuan (9 shared papers)Lei Nie (2 shared papers)Thomas A. Murray (1 shared paper)Haitao Pan (1 shared paper)Cong Chen (8 shared papers)Cai Wu (5 shared papers)Linda Sun (2 shared papers)Suyu Liu (1 shared paper)
- Journals
- Statistics in Biopharmaceutical Research (5 papers)Contemporary Clinical Trials (3 papers)Statistics in Medicine (2 papers)Cancer Research (2 papers)Clinical Trials (2 papers)
- Partner nations
- United StatesSpainFrance
In The Last Decade
Heng Zhou
27 papers receiving 346 citations
Peers
Comparison fields: 5 of 37
- Statistics and Probability 261
- Management Science and Operations Research 137
- Cancer Research 44
- Computational Theory and Mathematics 49
- Immunology 51
Countries citing papers authored by Heng Zhou
This map shows the geographic impact of Heng Zhou'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 Heng Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heng Zhou more than expected).
Fields of papers citing papers by Heng Zhou
This network shows the impact of papers produced by Heng Zhou. 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 Heng Zhou. The network helps show where Heng Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Heng Zhou, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 81 | |
| 2 | 2017 | 76 | |
| 3 | 2018 | 57 | |
| 4 | 2022 | 21 | |
| 5 | 2020 | 17 | |
| 6 | 2019 | 16 | |
| 7 | 2021 | 16 | |
| 8 | 2024 | 12 | |
| 9 | 2022 | 8 | |
| 10 | 2022 | 7 | |
| 11 | 2021 | 5 | |
| 12 | 2021 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2021 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2020 | 3 | |
| 17 | 2018 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2022 | 2 |
About Heng Zhou
Heng Zhou is a scholar working on Statistics and Probability, Management Science and Operations Research, Oncology, Economics and Econometrics and Computational Theory and Mathematics, having authored 30 papers that have together received 351 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (18 papers), Optimal Experimental Design Methods (13 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), Computational Drug Discovery Methods (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Cancer Genomics and Diagnostics (3 papers), PARP inhibition in cancer therapy (3 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Statistics and Probability (261 citations), Management Science and Operations Research (137 citations), Cancer Research (44 citations), Computational Theory and Mathematics (49 citations) and Immunology (51 citations). Heng Zhou has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Ying Yuan, Lei Nie, Thomas A. Murray, Haitao Pan, Cong Chen, Cai Wu, Linda Sun, Suyu Liu, Eric H. Rubin and Scott J. Diede. Their work appears in journals such as Statistics in Biopharmaceutical Research, Contemporary Clinical Trials, Statistics in Medicine, Cancer Research and Clinical Trials.
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.