Chen Wan
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Modeling and Simulation top 10%
Papers in
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- Complex Network Analysis Techniques 8
- Opinion Dynamics and Social Influence 8
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- Advanced Algebra and Geometry 8
- Co-authors
- Lukas K. Tamm (4 shared papers)Volker Kiessling (4 shared papers)Tao Li (7 shared papers)Xiongding Liu (6 shared papers)Yuanmei Wang (5 shared papers)Zhi‐Hong Guan (2 shared papers)Li Tao (1 shared paper)Martin A. Schwartz (1 shared paper)
- Journals
- Physica A Statistical Mechanics and its Applications (3 papers)Biochemistry (2 papers)Israel Journal of Mathematics (2 papers)Memoirs of the American Mathematical Society (2 papers)Advances in Difference Equations (1 paper)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Chen Wan
32 papers receiving 552 citations
Peers
Comparison fields: 5 of 95
- Statistical and Nonlinear Physics 81
- Modeling and Simulation 28
- Molecular Biology 320
- Cell Biology 66
- Atomic and Molecular Physics, and Optics 87
Countries citing papers authored by Chen Wan
This map shows the geographic impact of Chen Wan'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 Chen Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Wan more than expected).
Fields of papers citing papers by Chen Wan
This network shows the impact of papers produced by Chen Wan. 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 Chen Wan. The network helps show where Chen Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen Wan, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 188 | |
| 2 | 2008 | 91 | |
| 3 | 2014 | 41 | |
| 4 | 2016 | 37 | |
| 5 | 2014 | 31 | |
| 6 | 2017 | 25 | |
| 7 | 2022 | 18 | |
| 8 | 2016 | 17 | |
| 9 | 2011 | 14 | |
| 10 | 2025 | 13 | |
| 11 | 2017 | 13 | |
| 12 | 2011 | 11 | |
| 13 | 2021 | 8 | |
| 14 | 2016 | 8 | |
| 15 | 2018 | 7 | |
| 16 | 2025 | 6 | |
| 17 | 2021 | 4 | |
| 18 | 2015 | 4 | |
| 19 | KERNEL MATRIX OF QUATERNION AND ITS APPLICATION IN SPACECRAFT ATTITUDE CONTROL | 2000 | 3 |
| 20 | 2019 | 3 |
About Chen Wan
Chen Wan is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics, Geometry and Topology, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 35 papers that have together received 567 indexed citations. Recurring topics across this work include Advanced Algebra and Geometry (8 papers), Complex Network Analysis Techniques (8 papers), Opinion Dynamics and Social Influence (8 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers), Algebraic structures and combinatorial models (5 papers), Lipid Membrane Structure and Behavior (3 papers), Algebraic Geometry and Number Theory (3 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (81 citations), Modeling and Simulation (28 citations), Molecular Biology (320 citations), Cell Biology (66 citations) and Atomic and Molecular Physics, and Optics (87 citations). Chen Wan has collaborated with scholars based in China, United States and India. Frequent co-authors include Lukas K. Tamm, Volker Kiessling, Tao Li, Xiongding Liu, Yuanmei Wang, Zhi‐Hong Guan, Li Tao, Martin A. Schwartz, Brenton D. Hoffman and Andrés Norambuena. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Biochemistry, Israel Journal of Mathematics, Memoirs of the American Mathematical Society and Advances in Difference Equations.
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.