Zhicheng Wang

928 total citations · 3 hit papers
13 papers, 649 citations indexed

About

Zhicheng Wang is a scholar working on Computational Mechanics, Control and Systems Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Zhicheng Wang has authored 13 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Mechanics, 5 papers in Control and Systems Engineering and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Zhicheng Wang's work include Fluid Dynamics and Vibration Analysis (8 papers), Model Reduction and Neural Networks (5 papers) and Fluid Dynamics and Turbulent Flows (4 papers). Zhicheng Wang is often cited by papers focused on Fluid Dynamics and Vibration Analysis (8 papers), Model Reduction and Neural Networks (5 papers) and Fluid Dynamics and Turbulent Flows (4 papers). Zhicheng Wang collaborates with scholars based in United States, China and Canada. Zhicheng Wang's co-authors include George Em Karniadakis, Michael S. Triantafyllou, Dixia Fan, Frederik Fuest, Shengze Cai, Liu Yang, Khemraj Shukla, Juan Diego Toscano, Zongren Zou and Xiaomo Jiang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Fluid Mechanics and Journal of Computational Physics.

In The Last Decade

Zhicheng Wang

13 papers receiving 624 citations

Hit Papers

Flow over an espresso cup: inferring 3-D velocity and pre... 2020 2026 2022 2024 2021 2020 2024 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Flow over an espresso cup: inferring 3-D velocity and pressure fields from tomographic background oriented Schlieren via physics-informed neural networks
    2021 234 citations Shengze Cai, Zhicheng Wang et al. Journal of Fluid Mechanics profile →
  2. Reinforcement learning for bluff body active flow control in experiments and simulations
    2020 175 citations Dixia Fan, Liu Yang et al. Proceedings of the National Academy of Sciences profile →
  3. A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks
    2024 58 citations Khemraj Shukla, Juan Diego Toscano et al. Computer Methods in Applied Mechanics and Engineering profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Zhicheng Wang United States 10 431 285 177 135 100 13 649
Gahl Berkooz Sweden 2 365 0.8× 324 1.1× 130 0.7× 47 0.3× 61 0.6× 2 606
Yilang Liu China 14 733 1.7× 425 1.5× 326 1.8× 59 0.4× 128 1.3× 30 870
Marek Morzyński Poland 11 989 2.3× 821 2.9× 258 1.5× 113 0.8× 141 1.4× 27 1.2k
Georgios Rigas United Kingdom 18 921 2.1× 260 0.9× 617 3.5× 39 0.3× 253 2.5× 40 1.1k
Eric Parish United States 9 419 1.0× 404 1.4× 151 0.9× 18 0.1× 69 0.7× 27 648
Aashwin Mishra United States 16 497 1.2× 148 0.5× 180 1.0× 27 0.2× 175 1.8× 30 741
Marc Gerritsma Netherlands 18 560 1.3× 107 0.4× 101 0.6× 41 0.3× 72 0.7× 59 899
Konstantin Afanasiev Germany 5 689 1.6× 518 1.8× 151 0.9× 71 0.5× 104 1.0× 6 825
Simone Camarri Italy 22 976 2.3× 120 0.4× 410 2.3× 85 0.6× 336 3.4× 62 1.3k
Xuerui Mao United Kingdom 15 422 1.0× 63 0.2× 318 1.8× 28 0.2× 102 1.0× 93 729

Countries citing papers authored by Zhicheng Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

13 of 13 papers shown
1.
Wang, Zhicheng, et al.. (2024). Data-driven modeling of unsteady flow based on deep operator network. Physics of Fluids. 36(6). 10 indexed citations
2.
Du, Qiang, et al.. (2024). Onset of turbulence in rotor–stator cavity flows. Journal of Fluid Mechanics. 991. 2 indexed citations
3.
Shukla, Khemraj, Juan Diego Toscano, Zhicheng Wang, Zongren Zou, & George Em Karniadakis. (2024). A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks. Computer Methods in Applied Mechanics and Engineering. 431. 117290–117290. 58 indexed citations breakdown →
4.
Jiang, Xiaomo, et al.. (2023). An orbit-based encoder–forecaster deep learning method for condition monitoring of large turbomachines. Expert Systems with Applications. 238. 122215–122215. 9 indexed citations
5.
Wang, Zhicheng, Dixia Fan, Xiaomo Jiang, Michael S. Triantafyllou, & George Em Karniadakis. (2023). Deep reinforcement transfer learning of active control for bluff body flows at high Reynolds number. Journal of Fluid Mechanics. 973. 24 indexed citations
6.
Jiang, Xiaomo, et al.. (2023). OrbitDANN: A Mechanism-Informed Transfer Learning Method for Automatic Fault Diagnosis of Turbomachinery. IEEE Sensors Journal. 24(2). 2228–2241. 7 indexed citations
7.
8.
Cai, Shengze, et al.. (2021). Flow over an espresso cup: inferring 3-D velocity and pressure fields from tomographic background oriented Schlieren via physics-informed neural networks. Journal of Fluid Mechanics. 915. 234 indexed citations breakdown →
9.
Wang, Zhicheng, Dixia Fan, & Michael S. Triantafyllou. (2021). Illuminating the complex role of the added mass during vortex induced vibration. Physics of Fluids. 33(8). 42 indexed citations
10.
Fan, Dixia, Liu Yang, Zhicheng Wang, Michael S. Triantafyllou, & George Em Karniadakis. (2020). Reinforcement learning for bluff body active flow control in experiments and simulations. Proceedings of the National Academy of Sciences. 117(42). 26091–26098. 175 indexed citations breakdown →
11.
Wang, Zhicheng, Suchuan Dong, Michael S. Triantafyllou, Yiannis Constantinides, & George Em Karniadakis. (2019). A stabilized phase-field method for two-phase flow at high Reynolds number and large density/viscosity ratio. Journal of Computational Physics. 397. 108832–108832. 14 indexed citations
12.
Fan, Dixia, Zhicheng Wang, Michael S. Triantafyllou, & George Em Karniadakis. (2019). Mapping the properties of the vortex-induced vibrations of flexible cylinders in uniform oncoming flow. Journal of Fluid Mechanics. 881. 815–858. 60 indexed citations
13.
Wang, Zhicheng, Michael Triantafyllou, Yiannis Constantinides, & George Em Karniadakis. (2018). A spectral-element/Fourier smoothed profile method for large-eddy simulations of complex VIV problems. Computers & Fluids. 172. 84–96. 12 indexed citations

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.

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