Weien Zhou

1.1k total citations
47 papers, 703 citations indexed

About

Weien Zhou is a scholar working on Statistical and Nonlinear Physics, Computational Theory and Mathematics and Numerical Analysis. According to data from OpenAlex, Weien Zhou has authored 47 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistical and Nonlinear Physics, 11 papers in Computational Theory and Mathematics and 10 papers in Numerical Analysis. Recurrent topics in Weien Zhou's work include Model Reduction and Neural Networks (10 papers), Topology Optimization in Engineering (9 papers) and Advanced Multi-Objective Optimization Algorithms (9 papers). Weien Zhou is often cited by papers focused on Model Reduction and Neural Networks (10 papers), Topology Optimization in Engineering (9 papers) and Advanced Multi-Objective Optimization Algorithms (9 papers). Weien Zhou collaborates with scholars based in China. Weien Zhou's co-authors include Wen Yao, Xiaoqian Chen, Xianqi Chen, Wei Peng, Zhiqiang Gong, Zeyu Zhang, Yu Li, Jialin Hong, Xü Liu and Lu Cao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Weien Zhou

40 papers receiving 667 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weien Zhou China 15 179 140 130 129 116 47 703
Rohit Tripathy United States 5 243 1.4× 124 0.9× 80 0.6× 111 0.9× 89 0.8× 7 584
Calvin J. Ribbens United States 15 137 0.8× 46 0.3× 89 0.7× 111 0.9× 306 2.6× 72 970
Tomomichi Hagiwara Japan 23 292 1.6× 111 0.8× 59 0.5× 395 3.1× 85 0.7× 235 2.4k
Youngsoo Choi United States 16 581 3.2× 71 0.5× 104 0.8× 49 0.4× 317 2.7× 35 809
Wen‐Juan Lin China 20 447 2.5× 242 1.7× 185 1.4× 157 1.2× 211 1.8× 42 1.7k
Alexey Pavlov Norway 22 120 0.7× 45 0.3× 98 0.8× 99 0.8× 67 0.6× 102 1.7k
Nathalie Bartoli France 16 118 0.7× 135 1.0× 94 0.7× 544 4.2× 156 1.3× 69 1.1k
Tayfun Çimen Türkiye 10 86 0.5× 78 0.6× 49 0.4× 177 1.4× 58 0.5× 17 1.2k
Davide Serafini United States 3 60 0.3× 150 1.1× 63 0.5× 437 3.4× 57 0.5× 6 772
Dominik Sierociuk Poland 22 208 1.2× 201 1.4× 42 0.3× 43 0.3× 64 0.6× 68 1.9k

Countries citing papers authored by Weien Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Weien Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weien Zhou

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

All Works

20 of 20 papers shown
1.
Chen, Xianqi, et al.. (2025). Mixed integer programming modeling for the satellite three-dimensional component assignment and layout optimization problem. Chinese Journal of Aeronautics. 38(6). 103415–103415.
2.
Zhang, Xiaoya, et al.. (2025). Enhancing deep learning-based field reconstruction with a differentiable learning framework. Nature Machine Intelligence. 7(7). 1129–1140.
3.
Peng, Wei, et al.. (2025). Hybrid Finite-Difference Physics-Informed Neural Networks Partial Differential Equation Solver for Complex Geometries. Journal of Thermophysics and Heat Transfer. 39(4). 686–703.
4.
Luo, Jiaxiang, et al.. (2025). BDH-NN: Bi-Directional Homogenization method using Neural Networks for the mechanical metamaterial design. Materials Today Communications. 47. 113057–113057. 1 indexed citations
5.
Wang, Donghua, Wen Yao, Tingsong Jiang, et al.. (2024). An invisible, robust copyright protection method for DNN-generated content. Neural Networks. 177. 106391–106391.
6.
Yang, Yang, et al.. (2024). MorphVAE: Advancing Morphological Design of Voxel-Based Soft Robots with Variational Autoencoders. Proceedings of the AAAI Conference on Artificial Intelligence. 38(9). 10368–10376. 2 indexed citations
7.
8.
Wang, Handing, et al.. (2024). A Morphological Transfer-Based Multi-Fidelity Evolutionary Algorithm for Soft Robot Design. IEEE Computational Intelligence Magazine. 19(4). 16–30. 2 indexed citations
9.
Liu, Xü, Wen Yao, Wei Peng, & Weien Zhou. (2023). Bayesian physics-informed extreme learning machine for forward and inverse PDE problems with noisy data. Neurocomputing. 549. 126425–126425. 24 indexed citations
10.
Chen, Xiaoqian, et al.. (2023). RecFNO: A resolution-invariant flow and heat field reconstruction method from sparse observations via Fourier neural operator. International Journal of Thermal Sciences. 195. 108619–108619. 24 indexed citations
11.
Li, Yu, Zeyu Zhang, Jiaxiang Luo, et al.. (2023). Concurrent topology optimization of shells with pattern-guided infills for intuitive design and additive manufacturing. Computer Methods in Applied Mechanics and Engineering. 418. 116485–116485. 6 indexed citations
12.
Chen, Xianqi, Wen Yao, Weien Zhou, Zeyu Zhang, & Yu Li. (2023). A general differentiable layout optimization framework for heat transfer problems. International Journal of Heat and Mass Transfer. 211. 124205–124205. 11 indexed citations
13.
Zhang, Zeyu, Wen Yao, Yu Li, Weien Zhou, & Xiaoqian Chen. (2023). Topology optimization via implicit neural representations. Computer Methods in Applied Mechanics and Engineering. 411. 116052–116052. 14 indexed citations
14.
Yao, Wen, et al.. (2023). Natural Weather-Style Black-Box Adversarial Attacks Against Optical Aerial Detectors. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–11. 14 indexed citations
15.
Liu, Xü, Wei Peng, Zhiqiang Gong, Weien Zhou, & Wen Yao. (2022). Temperature field inversion of heat-source systems via physics-informed neural networks. Engineering Applications of Artificial Intelligence. 113. 104902–104902. 55 indexed citations
16.
Zhang, Zeyu, Yu Li, Weien Zhou, et al.. (2021). TONR: An exploration for a novel way combining neural network with topology optimization. Computer Methods in Applied Mechanics and Engineering. 386. 114083–114083. 74 indexed citations
17.
Zhang, Jun, et al.. (2020). A Deep Learning-Based Method for Heat Source Layout Inverse Design. IEEE Access. 8. 140038–140053. 10 indexed citations
18.
Cui, Jianbo, et al.. (2018). Strong convergence rate of splitting schemes for stochastic nonlinear Schrödinger equations. Journal of Differential Equations. 266(9). 5625–5663. 36 indexed citations
19.
Zhou, Weien, Jingjing Zhang, Jialin Hong, & Songhe Song. (2017). Stochastic symplectic Runge–Kutta methods for the strong approximation of Hamiltonian systems with additive noise. Journal of Computational and Applied Mathematics. 325. 134–148. 10 indexed citations
20.
Zhou, Weien, Liying Zhang, Jialin Hong, & Songhe Song. (2016). Projection methods for stochastic differential equations with conserved quantities. BIT Numerical Mathematics. 56(4). 1497–1518. 15 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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Breakdown of academic impact, for papers by Rohit Tripathy Breakdown of academic impact, for papers by Calvin J. Ribbens Breakdown of academic impact, for papers by Tomomichi Hagiwara Breakdown of academic impact, for papers by Youngsoo Choi Breakdown of academic impact, for papers by Wen‐Juan Lin Breakdown of academic impact, for papers by Alexey Pavlov Breakdown of academic impact, for papers by Nathalie Bartoli Breakdown of academic impact, for papers by Tayfun Çimen Breakdown of academic impact, for papers by Davide Serafini Breakdown of academic impact, for papers by Dominik Sierociuk
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