Zhong Wan
- Statistical and Nonlinear Physics top 5%
- Computational Mechanics top 10%
- Artificial Intelligence
- Atmospheric Science
- Control and Systems Engineering
- Co-authors
- Themistoklis P. SapsisPetros KoumoutsakosPantelis R. VlachasYing HuJianwei ZhangChristian LessigZhi XiongHai‐Qiang Wang
- Topics
- Robotic Mechanisms and Dynamics (5 papers)Meteorological Phenomena and Simulations (4 papers)Model Reduction and Neural Networks (3 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputational MechanicsStatistics, Probability and Uncertainty
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Zhong Wan
22 papers receiving 315 citations
Peers
Comparison fields: 5 of 81
- Statistical and Nonlinear Physics 135
- Computational Mechanics 101
- Artificial Intelligence 55
- Atmospheric Science 43
- Control and Systems Engineering 37
Countries citing papers authored by Zhong Wan
This map shows the geographic impact of Zhong 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 Zhong Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhong Wan more than expected).
Fields of papers citing papers by Zhong Wan
This network shows the impact of papers produced by Zhong 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 Zhong Wan. The network helps show where Zhong Wan may publish in the future.
Co-authorship network of co-authors of Zhong Wan
This figure shows the co-authorship network connecting the top 25 collaborators of Zhong Wan. A scholar is included among the top collaborators of Zhong Wan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhong Wan. Zhong Wan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 6 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | Data-assisted reduced-order modeling of climate dynamics | 1 |
| 7 | 8 | |
| 8 | 36 | |
| 9 | 154 | |
| 10 | 1 | |
| 11 | 38 | |
| 12 | 10 | |
| 13 | 13 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 3 | |
| 19 | THE PRECISE INTEGRATION OF LQ CONTROL PROBLEMS | 4 |
| 20 | The Analytical Solutions of Matrix Riccati Differential Equations | 0 |
About Zhong Wan
Zhong Wan is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics and Management Information Systems, having authored 23 papers that have together received 323 indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (5 papers), Meteorological Phenomena and Simulations (4 papers) and Model Reduction and Neural Networks (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (135 citations), Computational Mechanics (101 citations) and Statistics, Probability and Uncertainty (31 citations). Zhong Wan has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Themistoklis P. Sapsis, Petros Koumoutsakos, Pantelis R. Vlachas, Ying Hu, Jianwei Zhang, Christian Lessig, Zhi Xiong, Hai‐Qiang Wang, Fang Song and Jianye Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Fluid Mechanics.
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.