Zengxin Wei

2.4k total citations
69 papers, 1.9k citations indexed

About

Zengxin Wei is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Zengxin Wei has authored 69 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Numerical Analysis, 45 papers in Computational Theory and Mathematics and 26 papers in Computational Mechanics. Recurrent topics in Zengxin Wei's work include Advanced Optimization Algorithms Research (62 papers), Iterative Methods for Nonlinear Equations (33 papers) and Sparse and Compressive Sensing Techniques (26 papers). Zengxin Wei is often cited by papers focused on Advanced Optimization Algorithms Research (62 papers), Iterative Methods for Nonlinear Equations (33 papers) and Sparse and Compressive Sensing Techniques (26 papers). Zengxin Wei collaborates with scholars based in China, Hong Kong and Australia. Zengxin Wei's co-authors include Gonglin Yuan, Liqun Qi, Guoyin Li, Xiwen Lu, Liying Liu, Chunming Tang, Gaohang Yu, Yunhai Xiao, Sha Lu and Hai Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied Mathematics and Computation.

In The Last Decade

Zengxin Wei

68 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zengxin Wei China 24 1.6k 936 760 220 174 69 1.9k
Neculai Andrei Romania 26 1.5k 0.9× 881 0.9× 688 0.9× 211 1.0× 128 0.7× 48 1.8k
Gonglin Yuan China 25 1.6k 1.0× 824 0.9× 949 1.2× 300 1.4× 272 1.6× 104 2.1k
Wenyu Sun China 14 870 0.6× 669 0.7× 422 0.6× 212 1.0× 81 0.5× 69 1.4k
Saman Babaie–Kafaki Iran 19 861 0.5× 383 0.4× 466 0.6× 83 0.4× 92 0.5× 96 1.1k
Sandra A. Santos Brazil 20 782 0.5× 703 0.8× 431 0.6× 188 0.9× 50 0.3× 68 1.2k
Yanqin Bai China 23 998 0.6× 973 1.0× 493 0.6× 182 0.8× 158 0.9× 108 1.8k
Jein-Shan Chen Taiwan 22 1.2k 0.7× 1.1k 1.1× 158 0.2× 147 0.7× 48 0.3× 129 1.5k
Jinbao Jian China 24 935 0.6× 613 0.7× 667 0.9× 118 0.5× 189 1.1× 168 1.7k
Deren Han China 21 733 0.5× 680 0.7× 1.0k 1.3× 192 0.9× 232 1.3× 96 1.7k
A. Auslender France 25 1.4k 0.9× 1.6k 1.7× 565 0.7× 118 0.5× 48 0.3× 53 2.0k

Countries citing papers authored by Zengxin Wei

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Yuan, Gonglin, Zengxin Wei, & Yuning Yang. (2018). The global convergence of the Polak–Ribière–Polyak conjugate gradient algorithm under inexact line search for nonconvex functions. Journal of Computational and Applied Mathematics. 362. 262–275. 64 indexed citations
2.
Lu, Sha & Zengxin Wei. (2018). Convergence analysis on a modified generalized alternating direction method of multipliers. Journal of Inequalities and Applications. 2018(1). 129–129. 1 indexed citations
3.
Yuan, Gonglin, Zengxin Wei, & Xiwen Lu. (2017). Global convergence of BFGS and PRP methods under a modified weak Wolfe–Powell line search. Applied Mathematical Modelling. 47. 811–825. 83 indexed citations
4.
Wei, Zengxin, et al.. (2016). Further study of multi-granulation fuzzy rough sets. Journal of Intelligent & Fuzzy Systems. 32(3). 2413–2424. 7 indexed citations
5.
Wei, Zengxin, et al.. (2015). Covering-based fuzzy rough sets. Journal of Intelligent & Fuzzy Systems. 29(6). 2405–2411. 10 indexed citations
6.
Yuan, Gonglin, et al.. (2015). A Limited-Memory BFGS Algorithm Based on a Trust-Region Quadratic Model for Large-Scale Nonlinear Equations. PLoS ONE. 10(5). e0120993–e0120993. 16 indexed citations
7.
Wei, Zengxin, et al.. (2014). A Modified Non-Monotone BFGS Method for Non-Convex Unconstrained Optimization. Asia Pacific Journal of Operational Research. 31(5). 1450033–1450033. 1 indexed citations
8.
Yuan, Gonglin & Zengxin Wei. (2009). A Rank-one Fitting Method for Unconstrained Optimization Problems. Mathematica Applicata. 22(1). 118–122. 4 indexed citations
9.
Li, Guoyin, Chunming Tang, & Zengxin Wei. (2009). Error bound results for generalized D-gap functions of nonsmooth variational inequality problems. Journal of Computational and Applied Mathematics. 233(11). 2795–2806. 16 indexed citations
10.
Yuan, Gonglin, Xiwen Lu, & Zengxin Wei. (2009). A conjugate gradient method with descent direction for unconstrained optimization. Journal of Computational and Applied Mathematics. 233(2). 519–530. 70 indexed citations
11.
Yuan, Gonglin & Zengxin Wei. (2009). A Nonmonotone Line Search Method for Regression Analysis. Journal of Service Science and Management. 2(1). 36–42. 1 indexed citations
12.
Yuan, Gonglin, et al.. (2008). BFGS trust-region method for symmetric nonlinear equations. Journal of Computational and Applied Mathematics. 230(1). 44–58. 57 indexed citations
13.
Xiao, Yunhai, Zengxin Wei, & Zhiguo Wang. (2008). A limited memory BFGS-type method for large-scale unconstrained optimization. Computers & Mathematics with Applications. 56(4). 1001–1009. 57 indexed citations
14.
Wu, Qingjun & Zengxin Wei. (2007). Some new step-size rules for optimization problems. Journal of Shanghai University (English Edition). 11(2). 135–141. 1 indexed citations
15.
Wei, Zengxin, et al.. (2007). The superlinear convergence of a new quasi-Newton-SQP method for constrained optimization. Applied Mathematics and Computation. 196(2). 791–801. 3 indexed citations
16.
Wei, Zengxin. (2007). New Two-Point Stepsize Gradient Methods for Solving Unconstrained Optimization Problems. 12 indexed citations
17.
Liu, Liying, et al.. (2007). The global and superlinear convergence of a new nonmonotone MBFGS algorithm on convex objective functions. Journal of Computational and Applied Mathematics. 220(1-2). 422–438. 6 indexed citations
18.
Yuan, Gonglin, et al.. (2006). A Modified Gauss-Newton-based BFGS Method for Symmetric Nonlinear Equations. 13(4). 288–292. 5 indexed citations
19.
Li, Guoyin, Chunming Tang, & Zengxin Wei. (2006). New conjugacy condition and related new conjugate gradient methods for unconstrained optimization. Journal of Computational and Applied Mathematics. 202(2). 523–539. 106 indexed citations
20.
Wei, Zengxin. (1992). A new successive quadratic programming algorithm. Acta Mathematicae Applicatae Sinica English Series. 8(3). 281–288. 1 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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