Zhihua Chen

4.3k total citations · 1 hit paper
216 papers, 3.1k citations indexed

About

Zhihua Chen is a scholar working on Computational Mechanics, Aerospace Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Zhihua Chen has authored 216 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Computational Mechanics, 60 papers in Aerospace Engineering and 37 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Zhihua Chen's work include Fluid Dynamics and Turbulent Flows (59 papers), Computational Fluid Dynamics and Aerodynamics (41 papers) and Fluid Dynamics and Vibration Analysis (30 papers). Zhihua Chen is often cited by papers focused on Fluid Dynamics and Turbulent Flows (59 papers), Computational Fluid Dynamics and Aerodynamics (41 papers) and Fluid Dynamics and Vibration Analysis (30 papers). Zhihua Chen collaborates with scholars based in China, United States and Germany. Zhihua Chen's co-authors include Wei‐Tao Wu, Nadine Aubry, Hongtao Wang, Zhihao Ma, Jiang-Zhou Peng, Baochun Fan, Jing‐Ling Chen, Zeqing Guo, Wei Yang and Hongzhi Li and has published in prestigious journals such as Physical Review Letters, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Zhihua Chen

191 papers receiving 3.0k citations

Hit Papers

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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.

Research on Internet Security Situation Awareness Prediction Technology Based on Improved RBF Neural Network Algorithm

2022 130 citations Zhihua Chen profile →

Peers

Countries citing papers authored by Zhihua Chen

Since Specialization

Citations

This map shows the geographic impact of Zhihua 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 Zhihua Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhihua Chen more than expected).

Fields of papers citing papers by Zhihua Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhihua 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 Zhihua Chen. The network helps show where Zhihua Chen may publish in the future.

Co-authorship network of co-authors of Zhihua Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Zhihua Chen. A scholar is included among the top collaborators of Zhihua Chen 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 Zhihua Chen. Zhihua Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	An amphibious propeller design optimization framework based on deep neural network surrogate model 2025 ·Aerospace Science and Technology ·(unknown), (unknown), Xianjun He, (unknown), (unknown), Zhihua Chen, (unknown)	1
2	CFD–FEM analysis of ice-impact effect on the water-exit cavity and hydrodynamic characteristics of a ventilated vehicle 2025 ·Defence Technology ·Hao Wang, (unknown), Zhihua Chen, (unknown), Yuan Liu, (unknown), (unknown)	0
3	The efficient removal of Sr²⁺ using two thiostannates via ion exchange 2025 ·Dalton Transactions ·Yuwei Ren, (unknown), Zhihua Chen, (unknown), (unknown), (unknown), Mei‐Ling Feng, Xiaoying Huang	0
4	Rapid and efficient Sr(ii) capture by lanthanide-cluster based metal–organic frameworks containing alkali metal ions 2025 ·CrystEngComm ·Yingying Zhao, (unknown), Jun-Hao Tang, (unknown), Zhihua Chen, Shuangjiang Li, Chang Wei, (unknown), Qianqian Hu, Mei‐Ling Feng, Xiaoying Huang	0
5	Enhancing radiostrontium uptake by a layered titanate perovskite via sustainable electrochemically switched ion exchange 2025 ·Nature Communications ·Zhihua Chen, Fenghua Ding, (unknown), (unknown), Shuangjiang Li, Jun-Hao Tang, Xiao‐Ying Huang, Mei‐Ling Feng, Zhang Lin	0
6	Data and physics-driven modeling for fluid flow with a physics-informed graph convolutional neural network 2024 ·Ocean Engineering ·Jiang-Zhou Peng, Yue Hua, Nadine Aubry, Zhihua Chen, Mei Mei, Wei‐Tao Wu	8
7	Progress and Thinking on Self-Supervised Learning Methods in Computer Vision: A Review 2024 ·IEEE Sensors Journal ·Zhihua Chen, (unknown), Zhongsheng Chen, (unknown)	2
8	Effects of droplet evaporation on turbulence characteristics in a supersonic mixing layer 2024 ·Physics of Fluids ·Zeqing Guo, (unknown), Qi Dai, Zhihua Chen	0
9	Robust Control for Underactuated Fixed-Wing Unmanned Aerial Vehicles 2024 ·Mathematics ·(unknown), Luxin Zhang, Zhihua Chen	2
10	Boosting selective Cs+ uptake through the modulation of stacking modes in layered niobate-based perovskites 2024 ·Nature Communications ·Haiyan Sun, Zhihua Chen, Bing Hu, Jun-Hao Tang, (unknown), Yanling Guo, (unknown), Mei‐Ling Feng, Xiao‐Ying Huang	13
11	Airfoil shape optimization using genetic algorithm coupled deep neural networks 2023 ·Physics of Fluids ·(unknown), (unknown), Zhihua Chen, Wei‐Tao Wu, Yue Hua, Nadine Aubry	22
12	Control policy transfer of deep reinforcement learning based intelligent forced heat convection control 2023 ·International Journal of Thermal Sciences ·(unknown), Jiang-Zhou Peng, Nadine Aubry, Yubai Li, Zhihua Chen, Wei‐Tao Wu	5
13	Computationally effective estimation of supersonic flow field around airfoils using sparse convolutional neural network 2023 ·Fluid Dynamics Research ·(unknown), Jiang-Zhou Peng, (unknown), Zhihua Chen, (unknown), Wei‐Tao Wu	4
14	The transformation mechanisms of vortex structures on vortex-induced vibration of an elastically mounted sphere by Lorentz force 2023 ·Ocean Engineering ·(unknown), Hui Zhang, (unknown), (unknown), Zijie Zhao, Zhihua Chen	6
15	Generation of robust optical entanglement in cavity optomagnonics 2023 ·Optics Express ·Hong Xie, (unknown), Chang-Geng Liao, Zhihua Chen, Xiu‐Min Lin	14
16	Efficient coupling of direct forcing immersed boundary‐lattice Boltzmann method and finite element method to simulate fluid‐structure interactions 2019 ·International Journal for Numerical Methods in Fluids ·J. L. Qin, Yiannis Andreopoulos, (unknown), (unknown), Zhihua Chen	15
17	Numerical Simulation of Nanofluid Suspensions in a Geothermal Heat Exchanger 2018 ·Energies ·(unknown), Hongbin Yan, Mehrdad Massoudi, Zhihua Chen, Wei‐Tao Wu	39
18	Numerical investigation on vortex dipole interacting with concave walls of different curvatures 2018 ·Fluid Dynamics Research ·J. L. Qin, (unknown), (unknown), Zeqing Guo, Zhihua Chen, Yiannis Andreopoulos	8
19	Influence of temperature on magnetic properties of silicon steel lamination 2017 ·AIP Advances ·Junquan Chen, Zhihua Chen, Dong Wang, (unknown), (unknown), (unknown), Dieter Gerling	16
20	Quantum Discord for d⊗2 Systems 2015 ·Scientific Reports ·Zhihao Ma, Zhihua Chen, F. F. Fanchini, Shao-Ming Fei	18

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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