Ge Chen
Impact in
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- Opinion Dynamics and Social Influence
- Complex Network Analysis Techniques
- Communication top 10%
- Social Media and Politics
Papers in
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- Opinion Dynamics and Social Influence 22
- Complex Network Analysis Techniques 19
-
- Distributed Control Multi-Agent Systems 11
- Mobile Ad Hoc Networks 7
- Energy Efficient Wireless Sensor Networks 6
- Nonlinear Dynamics and Pattern Formation 5
- Co-authors
- Wei Su (11 shared papers)Yiguang Hong (3 shared papers)Francesco Bullo (9 shared papers)Wenjun Mei (12 shared papers)Zhihan Lv (1 shared paper)Yong Chen (1 shared paper)Yong Han (1 shared paper)Tengfei Yin (1 shared paper)
- Journals
- IEEE Transactions on Automatic Control (13 papers)Automatica (7 papers)Physica A Statistical Mechanics and its Applications (2 papers)Structural and Multidisciplinary Optimization (2 papers)Information Sciences (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Ge Chen
67 papers receiving 677 citations
Peers
Comparison fields: 5 of 105
- Statistical and Nonlinear Physics 292
- Communication 56
- Computer Networks and Communications 183
- Urban Studies 46
- Statistics, Probability and Uncertainty 54
Countries citing papers authored by Ge Chen
This map shows the geographic impact of Ge 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 Ge Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ge Chen more than expected).
Fields of papers citing papers by Ge Chen
This network shows the impact of papers produced by Ge 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 Ge Chen. The network helps show where Ge Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ge 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 80 | |
| 2 | 2017 | 63 | |
| 3 | 2006 | 34 | |
| 4 | 2019 | 34 | |
| 5 | 2017 | 33 | |
| 6 | 2020 | 32 | |
| 7 | 2017 | 27 | |
| 8 | 2018 | 25 | |
| 9 | 2021 | 23 | |
| 10 | 2016 | 23 | |
| 11 | 2023 | 22 | |
| 12 | 2019 | 22 | |
| 13 | 2019 | 18 | |
| 14 | 2020 | 17 | |
| 15 | 2012 | 15 | |
| 16 | 2020 | 15 | |
| 17 | 2015 | 14 | |
| 18 | 2024 | 13 | |
| 19 | 2022 | 13 | |
| 20 | 2014 | 13 |
About Ge Chen
Ge Chen is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Sociology and Political Science, Molecular Biology and Atomic and Molecular Physics, and Optics, having authored 78 papers that have together received 705 indexed citations. Recurring topics across this work include Opinion Dynamics and Social Influence (22 papers), Complex Network Analysis Techniques (19 papers), Distributed Control Multi-Agent Systems (11 papers), Evolutionary Game Theory and Cooperation (8 papers), Mobile Ad Hoc Networks (7 papers), Quantum many-body systems (7 papers), Energy Efficient Wireless Sensor Networks (6 papers) and Nonlinear Dynamics and Pattern Formation (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (292 citations), Communication (56 citations), Computer Networks and Communications (183 citations), Urban Studies (46 citations) and Statistics, Probability and Uncertainty (54 citations). Ge Chen has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Wei Su, Yiguang Hong, Francesco Bullo, Wenjun Mei, Zhihan Lv, Yong Chen, Yong Han, Tengfei Yin, Tiande Guo and Lei Guo. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica, Physica A Statistical Mechanics and its Applications, Structural and Multidisciplinary Optimization and Information Sciences.
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.