Zhicheng Wang
- Computational Mechanics top 2%
- Statistical and Nonlinear Physics top 2%
- Aerospace Engineering top 10%
- Control and Systems Engineering top 10%
- Environmental Engineering top 10%
- Co-authors
- George Em KarniadakisMichael S. TriantafyllouDixia FanShengze CaiFrederik FuestLiu YangKhemraj ShuklaJuan Diego Toscano
- Topics
- Fluid Dynamics and Vibration Analysis (8 papers)Model Reduction and Neural Networks (5 papers)Fluid Dynamics and Turbulent Flows (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Fluid MechanicsJournal of Computational Physics
- Partner nations
- United StatesChinaCanada
In The Last Decade
Zhicheng Wang
13 papers receiving 624 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Computational Mechanics 431
- Statistical and Nonlinear Physics 285
- Aerospace Engineering 177
- Control and Systems Engineering 135
- Environmental Engineering 100
Countries citing papers authored by Zhicheng Wang
This map shows the geographic impact of Zhicheng Wang'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 Zhicheng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhicheng Wang more than expected).
Fields of papers citing papers by Zhicheng Wang
This network shows the impact of papers produced by Zhicheng Wang. 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 Zhicheng Wang. The network helps show where Zhicheng Wang may publish in the future.
Co-authorship network of co-authors of Zhicheng Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhicheng Wang. A scholar is included among the top collaborators of Zhicheng Wang 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 Zhicheng Wang. Zhicheng Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 2 | |
| 3 | A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networksbreakdown → | 58 |
| 4 | 9 | |
| 5 | 24 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | Flow over an espresso cup: inferring 3-D velocity and pressure fields from tomographic background oriented Schlieren via physics-informed neural networksbreakdown → | 234 |
| 9 | 42 | |
| 10 | Reinforcement learning for bluff body active flow control in experiments and simulationsbreakdown → | 175 |
| 11 | 14 | |
| 12 | 60 | |
| 13 | 12 |
About Zhicheng Wang
Zhicheng Wang is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics and Control and Systems Engineering, having authored 13 papers that have together received 649 indexed citations. Recurring topics across this work include Fluid Dynamics and Vibration Analysis (8 papers), Model Reduction and Neural Networks (5 papers) and Fluid Dynamics and Turbulent Flows (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (285 citations), Computational Mechanics (431 citations) and Aerospace Engineering (177 citations). Zhicheng Wang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include George Em Karniadakis, Michael S. Triantafyllou, Dixia Fan, Shengze Cai, Frederik Fuest, Liu Yang, Khemraj Shukla, Juan Diego Toscano, Zongren Zou and Xiaomo Jiang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Fluid Mechanics and Journal of Computational Physics.
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.