Choujun Zhan
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
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- COVID-19 epidemiological studies 13
-
- Complex Network Analysis Techniques 19
- Opinion Dynamics and Social Influence 10
- Co-authors
- Chi K. TseL.F. YeungXi ZhangHaijun ZhangQizhi ZhangDi WuAining ZhangDong Liu
In The Last Decade
Choujun Zhan
82 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 141
- Modeling and Simulation 154
- Statistical and Nonlinear Physics 154
- Artificial Intelligence 236
- Management Science and Operations Research 84
- Computer Vision and Pattern Recognition 135
Countries citing papers authored by Choujun Zhan
This map shows the geographic impact of Choujun Zhan'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 Choujun Zhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Choujun Zhan more than expected).
Fields of papers citing papers by Choujun Zhan
This network shows the impact of papers produced by Choujun Zhan. 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 Choujun Zhan. The network helps show where Choujun Zhan may publish in the future.
Co-authors
The 25 scholars most cited alongside Choujun Zhan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 11 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 11 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 33 | |
| 12 | 2021 | 54 | |
| 13 | 2020 | 36 | |
| 14 | 2020 | 3 | |
| 15 | 2020 | 8 | |
| 16 | 2019 | 7 | |
| 17 | 2019 | 0 | |
| 18 | Graph based semi-supervised classification via capped l 2, 1 -norm regularized dictionary learning | 2017 | 1 |
| 19 | 2017 | 2 | |
| 20 | 2009 | 46 |
About Choujun Zhan
Choujun Zhan is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics, Management Science and Operations Research, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 86 papers that have together received 1.2k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (19 papers), COVID-19 epidemiological studies (13 papers), Opinion Dynamics and Social Influence (10 papers), Energy Load and Power Forecasting (7 papers), Innovation Diffusion and Forecasting (6 papers), Gene Regulatory Network Analysis (6 papers), Face and Expression Recognition (5 papers) and Air Quality and Health Impacts (5 papers). The work is most often cited by research in Modeling and Simulation (154 citations), Statistical and Nonlinear Physics (154 citations), Artificial Intelligence (236 citations), Management Science and Operations Research (84 citations) and Computer Vision and Pattern Recognition (135 citations). Choujun Zhan has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Chi K. Tse, L.F. Yeung, Xi Zhang, Haijun Zhang, Qizhi Zhang, Di Wu, Aining Zhang, Dong Liu, Zhi Yang and Tianyong Hao. Their work appears in journals such as Neural Computing and Applications, Information Sciences, Physica A Statistical Mechanics and its Applications, IEEE Access and IEEE Transactions on Consumer Electronics.
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.