Zaiwen Wen

4.8k total citations · 2 hit papers
84 papers, 2.9k citations indexed

About

Zaiwen Wen is a scholar working on Computational Mechanics, Numerical Analysis and Computational Theory and Mathematics. According to data from OpenAlex, Zaiwen Wen has authored 84 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computational Mechanics, 34 papers in Numerical Analysis and 24 papers in Computational Theory and Mathematics. Recurrent topics in Zaiwen Wen's work include Sparse and Compressive Sensing Techniques (38 papers), Advanced Optimization Algorithms Research (33 papers) and Matrix Theory and Algorithms (17 papers). Zaiwen Wen is often cited by papers focused on Sparse and Compressive Sensing Techniques (38 papers), Advanced Optimization Algorithms Research (33 papers) and Matrix Theory and Algorithms (17 papers). Zaiwen Wen collaborates with scholars based in China, United States and Hong Kong. Zaiwen Wen's co-authors include Wotao Yin, Yin Zhang, Donald Goldfarb, Xin Liu, Yangyang Xu, Ya-xiang Yuan, Chao Yang, Jiang Hu, Stefano Marchesini and Richard G. Baraniuk and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.

In The Last Decade

Zaiwen Wen

73 papers receiving 2.7k citations

Hit Papers

A feasible method for optimization with orthogonality con... 2012 2026 2016 2021 2012 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zaiwen Wen China 23 1.5k 888 579 520 491 84 2.9k
P.-A. Absil Belgium 19 1.3k 0.9× 981 1.1× 677 1.2× 687 1.3× 812 1.7× 38 4.0k
Albert Cohen France 30 1.9k 1.3× 968 1.1× 422 0.7× 240 0.5× 669 1.4× 88 3.5k
Vladimir Temlyakov United States 30 2.3k 1.6× 1.2k 1.4× 1.2k 2.0× 409 0.8× 425 0.9× 141 4.8k
Jean‐Christophe Pesquet France 34 1.8k 1.3× 1.8k 2.0× 438 0.8× 469 0.9× 457 0.9× 207 4.2k
Jérôme Bolte France 20 2.7k 1.9× 945 1.1× 1.5k 2.6× 690 1.3× 1.5k 3.1× 37 4.4k
Michael P. Friedlander Canada 20 1.6k 1.1× 533 0.6× 294 0.5× 308 0.6× 239 0.5× 53 2.8k
Maryam Fazel United States 21 3.0k 2.1× 1.3k 1.5× 476 0.8× 795 1.5× 400 0.8× 79 5.2k
Junfeng Yang China 23 2.2k 1.5× 1.7k 1.9× 410 0.7× 787 1.5× 455 0.9× 55 4.8k
Per‐Gunnar Martinsson United States 24 1.5k 1.0× 645 0.7× 178 0.3× 1.1k 2.1× 1000 2.0× 57 4.7k
Jack Xin United States 28 1.1k 0.8× 581 0.7× 490 0.8× 258 0.5× 371 0.8× 162 3.1k

Countries citing papers authored by Zaiwen Wen

Since Specialization
Citations

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

Fields of papers citing papers by Zaiwen Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zaiwen Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Zaiwen Wen. A scholar is included among the top collaborators of Zaiwen Wen 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 Zaiwen Wen. Zaiwen Wen 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.
Wen, Zaiwen, et al.. (2025). Oracle Complexities of Augmented Lagrangian Methods for Nonsmooth Composite Optimization on a Compact Submanifold. Mathematics of Operations Research. 1 indexed citations
2.
Xie, Zhonglin, Wotao Yin, & Zaiwen Wen. (2025). ODE-Based Learning to Optimize. Mathematical Programming.
3.
Wen, Zaiwen, et al.. (2025). An Augmented Lagrangian Primal-Dual Semismooth Newton Method for Multi-Block Composite Optimization. Journal of Scientific Computing. 102(3). 2 indexed citations
4.
Wang, Rui, et al.. (2024). A Customized Augmented Lagrangian Method for Block-Structured Integer Programming. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 9439–9455. 1 indexed citations
5.
Wen, Zaiwen, et al.. (2024). On the Analysis of Model-Free Methods for the Linear Quadratic Regulator. Journal of the Operations Research Society of China.
6.
Wang, Rui, et al.. (2023). Decoding LDPC Codes by Using Negative Proximal Regularization. IEEE Transactions on Communications. 71(7). 3835–3846. 1 indexed citations
7.
Wen, Zaiwen, et al.. (2023). A Decomposition Augmented Lagrangian Method for Low-Rank Semidefinite Programming. SIAM Journal on Optimization. 33(3). 1361–1390. 6 indexed citations
8.
Li, Yongfeng, Mingming Zhao, Weijie Chen, & Zaiwen Wen. (2023). A Stochastic Composite Augmented Lagrangian Method for Reinforcement Learning. SIAM Journal on Optimization. 33(2). 921–949.
9.
Chen, Yifan, Zhonglin Xie, Hong Xu, et al.. (2023). LRSDP: Low-Rank SDP for Triple Patterning Lithography Layout Decomposition. 1–6.
10.
Yang, Minghan, Dong Xu, Zaiwen Wen, Mengyun Chen, & Pengxiang Xu. (2022). Sketch-Based Empirical Natural Gradient Methods for Deep Learning. Journal of Scientific Computing. 92(3). 6 indexed citations
11.
Yang, Minghan, Dong Xu, Hongyu Chen, Zaiwen Wen, & Mengyun Chen. (2021). Enhance Curvature Information by Structured Stochastic Quasi-Newton Methods. 18. 10649–10658. 5 indexed citations
12.
Chen, Qingxiao, et al.. (2020). Clinical decision support model for tooth extraction therapy derived from electronic dental records. Journal of Prosthetic Dentistry. 126(1). 83–90. 25 indexed citations
13.
Yang, Minghan, Dong Xu, Yongfeng Li, Zaiwen Wen, & Mengyun Chen. (2020). Structured Stochastic Quasi-Newton Methods for Large-Scale Optimization Problems. arXiv (Cornell University). 1 indexed citations
14.
Ma, Chao, et al.. (2018). Globally Convergent Levenberg-Marquardt Method for Phase Retrieval. IEEE Transactions on Information Theory. 65(4). 2343–2359. 16 indexed citations
15.
Hu, Jiang, et al.. (2018). Adaptive Quadratically Regularized Newton Method for Riemannian Optimization. SIAM Journal on Matrix Analysis and Applications. 39(3). 1181–1207. 36 indexed citations
16.
Huang, Jimin, Zaiwen Wen, & Xiantao Xiao. (2017). Extended Levenberg-Marquardt Method for Composite Function Minimization. Journal of Computational Mathematics. 35(4). 529–546. 3 indexed citations
17.
Wang, Lanhui, Amit Singer, & Zaiwen Wen. (2013). Orientation Determination of Cryo-EM Images Using Least Unsquared Deviations. SIAM Journal on Imaging Sciences. 6(4). 2450–2483. 32 indexed citations
18.
Ling, Qing, Yangyang Xu, Wotao Yin, & Zaiwen Wen. (2012). Decentralized low-rank matrix completion. 2925–2928. 37 indexed citations
19.
Wen, Zaiwen, Wotao Yin, & Yin Zhang. (2012). Solving a low-rank factorization model for matrix completion by a nonlinear successive over-relaxation algorithm. Mathematical Programming Computation. 4(4). 333–361. 541 indexed citations breakdown →
20.
Wang, Yanfei, Zaiwen Wen, Zuhair Nashed, & Qiyu Sun. (2006). Direct fast method for time-limited signal reconstruction. Applied Optics. 45(13). 3111–3111. 4 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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