De Tang
Impact in
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth
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- Mathematical and Theoretical Epidemiology and Ecology Models
Papers in
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- Mathematical and Theoretical Epidemiology and Ecology Models 20
- Genetics 17
- Evolution and Genetic Dynamics 17
- Co-authors
- Peng Zhou (2 shared papers)Christophe Pierre (1 shared paper)Yuming Chen (4 shared papers)Earl H. Dowell (1 shared paper)Li Ma (5 shared papers)Dongmei Xiao (1 shared paper)Zhi‐An Wang (2 shared papers)Yanqin Fang (2 shared papers)
In The Last Decade
De Tang
22 papers receiving 371 citations
Peers
Comparison fields: 5 of 49
- Modeling and Simulation 102
- Public Health, Environmental and Occupational Health 247
- Genetics 182
- Mathematical Physics 35
- Applied Mathematics 30
Countries citing papers authored by De Tang
This map shows the geographic impact of De Tang'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 De Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites De Tang more than expected).
Fields of papers citing papers by De Tang
This network shows the impact of papers produced by De Tang. 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 De Tang. The network helps show where De Tang may publish in the future.
Co-authors
The 13 scholars most cited alongside De Tang, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 115 | |
| 2 | 2019 | 59 | |
| 3 | 2021 | 43 | |
| 4 | 2020 | 28 | |
| 5 | 2021 | 28 | |
| 6 | 2020 | 22 | |
| 7 | 2022 | 17 | |
| 8 | 2020 | 11 | |
| 9 | 2022 | 11 | |
| 10 | 2023 | 10 | |
| 11 | 2019 | 10 | |
| 12 | 2016 | 8 | |
| 13 | 2022 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2019 | 6 | |
| 16 | 2017 | 4 | |
| 17 | 2018 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2024 | 2 |
About De Tang
De Tang is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Modeling and Simulation, Sociology and Political Science and Computational Theory and Mathematics, having authored 26 papers that have together received 399 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (20 papers), Evolution and Genetic Dynamics (17 papers), Mathematical Biology Tumor Growth (9 papers), Evolutionary Game Theory and Cooperation (5 papers), Advanced Mathematical Modeling in Engineering (4 papers), Animal Ecology and Behavior Studies (3 papers), Nonlinear Partial Differential Equations (3 papers) and Stochastic processes and statistical mechanics (2 papers). The work is most often cited by research in Modeling and Simulation (102 citations), Public Health, Environmental and Occupational Health (247 citations), Genetics (182 citations), Mathematical Physics (35 citations) and Applied Mathematics (30 citations). De Tang has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Peng Zhou, Christophe Pierre, Yuming Chen, Earl H. Dowell, Li Ma, Dongmei Xiao, Zhi‐An Wang, Yanqin Fang, Xin Chen and Ziying Zhang. Their work appears in journals such as Journal of Differential Equations, Mathematical Methods in the Applied Sciences, Discrete and Continuous Dynamical Systems - B, International Journal of Bifurcation and Chaos and AIAA Journal.
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.