Zengxin Wei
- Numerical Analysis top 0.2%
- Computational Theory and Mathematics top 0.5%
- Computational Mechanics top 1%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Topics
- Advanced Optimization Algorithms Research (62 papers)Iterative Methods for Nonlinear Equations (33 papers)Sparse and Compressive Sensing Techniques (26 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEApplied Mathematics and Computation
In The Last Decade
Zengxin Wei
68 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 88
- Numerical Analysis 1.6k
- Computational Theory and Mathematics 936
- Computational Mechanics 760
- Artificial Intelligence 220
- Computer Vision and Pattern Recognition 174
Countries citing papers authored by Zengxin Wei
This map shows the geographic impact of Zengxin Wei'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 Zengxin Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zengxin Wei more than expected).
Fields of papers citing papers by Zengxin Wei
This network shows the impact of papers produced by Zengxin Wei. 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 Zengxin Wei. The network helps show where Zengxin Wei may publish in the future.
Co-authorship network of co-authors of Zengxin Wei
This figure shows the co-authorship network connecting the top 25 collaborators of Zengxin Wei. A scholar is included among the top collaborators of Zengxin Wei 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 Zengxin Wei. Zengxin Wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 64 | |
| 2 | 1 | |
| 3 | 83 | |
| 4 | 7 | |
| 5 | 10 | |
| 6 | 16 | |
| 7 | 1 | |
| 8 | A Rank-one Fitting Method for Unconstrained Optimization Problems | 4 |
| 9 | 16 | |
| 10 | 70 | |
| 11 | 1 | |
| 12 | 57 | |
| 13 | 57 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | New Two-Point Stepsize Gradient Methods for Solving Unconstrained Optimization Problems | 12 |
| 17 | 6 | |
| 18 | A Modified Gauss-Newton-based BFGS Method for Symmetric Nonlinear Equations | 5 |
| 19 | 106 | |
| 20 | 1 |
About Zengxin Wei
Zengxin Wei is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics, having authored 69 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (62 papers), Iterative Methods for Nonlinear Equations (33 papers) and Sparse and Compressive Sensing Techniques (26 papers). The work is most often cited by research in Numerical Analysis (1.6k citations), Computational Theory and Mathematics (936 citations) and Computational Mechanics (760 citations). Zengxin Wei has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Gonglin Yuan, Liqun Qi, Guoyin Li, Xiwen Lu, Liying Liu, Chunming Tang, Gaohang Yu, Yunhai Xiao, Sha Lu and Hai Huang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied Mathematics and Computation.
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.