Da Zhou
Impact in
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
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- CO2 Reduction Techniques and Catalysts
Papers in
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- Mathematical Biology Tumor Growth 10
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- GaN-based semiconductor devices and materials 7
- Co-authors
- Arne Traulsen (4 shared papers)Bin Wu (4 shared papers)Long Wang (3 shared papers)Cheng Wang (7 shared papers)Feng Fu (1 shared paper)Kun Wang (5 shared papers)Yue Wang (4 shared papers)Bin Wu (2 shared papers)
- Journals
- Journal of Theoretical Biology (6 papers)Journal of Display Technology (3 papers)Physical review. E (3 papers)Quantitative Biology (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Da Zhou
67 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 106
- Modeling and Simulation 76
- Renewable Energy, Sustainability and the Environment 135
- Statistical and Nonlinear Physics 54
- Sociology and Political Science 232
- Biomaterials 52
Countries citing papers authored by Da Zhou
This map shows the geographic impact of Da 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 Da Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Zhou more than expected).
Fields of papers citing papers by Da Zhou
This network shows the impact of papers produced by Da 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 Da Zhou. The network helps show where Da Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Da 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 156 | |
| 2 | 2021 | 147 | |
| 3 | 2017 | 124 | |
| 4 | 2020 | 74 | |
| 5 | 2019 | 51 | |
| 6 | 2023 | 42 | |
| 7 | 2025 | 42 | |
| 8 | 2011 | 37 | |
| 9 | 2024 | 37 | |
| 10 | 2016 | 32 | |
| 11 | 2014 | 29 | |
| 12 | 2011 | 26 | |
| 13 | 2023 | 22 | |
| 14 | 2010 | 19 | |
| 15 | 2019 | 18 | |
| 16 | 2013 | 17 | |
| 17 | 2015 | 17 | |
| 18 | 2019 | 17 | |
| 19 | 2020 | 17 | |
| 20 | 2022 | 17 |
About Da Zhou
Da Zhou is a scholar working on Modeling and Simulation, Condensed Matter Physics, Materials Chemistry, Biomedical Engineering and Artificial Intelligence, having authored 70 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (10 papers), GaN-based semiconductor devices and materials (7 papers), Evolutionary Game Theory and Cooperation (6 papers), Luminescence Properties of Advanced Materials (6 papers), Advanced Graph Neural Networks (4 papers), Mathematical and Theoretical Epidemiology and Ecology Models (4 papers), Cancer Cells and Metastasis (4 papers) and Advanced optical system design (3 papers). The work is most often cited by research in Modeling and Simulation (76 citations), Renewable Energy, Sustainability and the Environment (135 citations), Statistical and Nonlinear Physics (54 citations), Sociology and Political Science (232 citations) and Biomaterials (52 citations). Da Zhou has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Arne Traulsen, Bin Wu, Long Wang, Cheng Wang, Feng Fu, Kun Wang, Yue Wang, Bin Wu, Yuming Su and Yiheng Dai. Their work appears in journals such as Journal of Theoretical Biology, Journal of Display Technology, Physical review. E, Quantitative Biology and PLoS ONE.
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.