Zaiwen Wen
- Computational Mechanics top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Numerical Analysis top 1%
- Artificial Intelligence top 2%
- Computational Theory and Mathematics top 1%
- Topics
- Sparse and Compressive Sensing Techniques (38 papers)Advanced Optimization Algorithms Research (33 papers)Matrix Theory and Algorithms (17 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Information TheoryIEEE Transactions on Signal Processing
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Zaiwen Wen
73 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Computational Mechanics 1.5k
- Computer Vision and Pattern Recognition 888
- Numerical Analysis 579
- Artificial Intelligence 520
- Computational Theory and Mathematics 491
Countries citing papers authored by Zaiwen Wen
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 25 | |
| 13 | Structured Stochastic Quasi-Newton Methods for Large-Scale Optimization Problems | 1 |
| 14 | 16 | |
| 15 | 36 | |
| 16 | 3 | |
| 17 | 32 | |
| 18 | 37 | |
| 19 | Solving a low-rank factorization model for matrix completion by a nonlinear successive over-relaxation algorithmbreakdown → | 541 |
| 20 | 4 |
About Zaiwen Wen
Zaiwen Wen is a scholar working on Computational Mathematics, Numerical Analysis and Computational Mechanics, having authored 84 papers that have together received 2.9k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (38 papers), Advanced Optimization Algorithms Research (33 papers) and Matrix Theory and Algorithms (17 papers). The work is most often cited by research in Computational Mathematics (189 citations), Numerical Analysis (579 citations) and Computational Mechanics (1.5k citations). Zaiwen Wen has collaborated with scholars based in China, United States and Hong Kong. Frequent 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. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.
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.