Liwei Zhang

2.5k total citations
179 papers, 1.5k citations indexed

About

Liwei Zhang is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Computational Mechanics. According to data from OpenAlex, Liwei Zhang has authored 179 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Computational Theory and Mathematics, 95 papers in Numerical Analysis and 36 papers in Computational Mechanics. Recurrent topics in Liwei Zhang's work include Advanced Optimization Algorithms Research (95 papers), Optimization and Variational Analysis (94 papers) and Sparse and Compressive Sensing Techniques (35 papers). Liwei Zhang is often cited by papers focused on Advanced Optimization Algorithms Research (95 papers), Optimization and Variational Analysis (94 papers) and Sparse and Compressive Sensing Techniques (35 papers). Liwei Zhang collaborates with scholars based in China, United States and Hong Kong. Liwei Zhang's co-authors include Xiantao Xiao, Defeng Sun, L. Jeff Hong, Yi Yang, Jie Sun, Fuhai Li, Huifu Xu, Tianyu Zhang, Jia Wu and Jie Zhang and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Mathematics of Computation.

In The Last Decade

Liwei Zhang

164 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liwei Zhang China 18 723 583 315 289 289 179 1.5k
Marko M. Mäkelä Finland 21 1.2k 1.6× 697 1.2× 372 1.2× 247 0.9× 465 1.6× 76 1.9k
Kurt M. Anstreicher United States 21 960 1.3× 1.0k 1.7× 276 0.9× 109 0.4× 276 1.0× 64 1.8k
Leonid Khachiyan United States 23 1.3k 1.8× 437 0.7× 95 0.3× 217 0.8× 195 0.7× 56 2.5k
Guy Cohen France 22 1.5k 2.1× 357 0.6× 128 0.4× 241 0.8× 440 1.5× 95 2.7k
Komei Fukuda Switzerland 17 743 1.0× 238 0.4× 97 0.3× 86 0.3× 243 0.8× 63 1.7k
Akiko Takeda Japan 18 232 0.3× 221 0.4× 240 0.8× 251 0.9× 144 0.5× 116 1.0k
James Renegar United States 19 1.5k 2.1× 987 1.7× 391 1.2× 109 0.4× 170 0.6× 29 2.1k
Antanas Žilinskas Lithuania 20 574 0.8× 291 0.5× 65 0.2× 157 0.5× 191 0.7× 95 1.2k
Ilan Adler United States 18 1.1k 1.5× 1.2k 2.0× 222 0.7× 154 0.5× 331 1.1× 52 2.0k
K. O. Kortanek United States 19 1.1k 1.5× 981 1.7× 222 0.7× 315 1.1× 585 2.0× 65 1.9k

Countries citing papers authored by Liwei Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Liwei Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liwei Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Liwei Zhang. A scholar is included among the top collaborators of Liwei Zhang 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 Liwei Zhang. Liwei Zhang 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.
Huang, Tao, Lei Jiao, Jianwu Yan, et al.. (2025). Deciphering the UAV-LiDAR contribution to vegetation classification using interpretable machine learning. Computers and Electronics in Agriculture. 235. 110360–110360.
2.
Zhang, Liwei, et al.. (2024). Regret analysis of an online majorized semi-proximal ADMM for online composite optimization. Journal of Global Optimization. 89(3). 687–722. 1 indexed citations
3.
Liu, Haoyang, Jia Wu, & Liwei Zhang. (2023). Variational Analysis of Norm Cones in Finite Dimensional Euclidean Spaces. Set-Valued and Variational Analysis. 31(3). 1 indexed citations
4.
Qi, Houduo, et al.. (2023). Perturbation analysis of the euclidean distance matrix optimization problem and its numerical implications. Computational Optimization and Applications. 86(3). 1193–1227. 1 indexed citations
5.
Zhang, Liwei & Jue Wang. (2021). What affects publications’ popularity on Twitter?. Scientometrics. 126(11). 9185–9198. 5 indexed citations
6.
Zhang, Tianyu, Liwei Zhang, Philip Payne, & Fuhai Li. (2020). Synergistic Drug Combination Prediction by Integrating Multiomics Data in Deep Learning Models. Methods in molecular biology. 2194. 223–238. 107 indexed citations
7.
Li, Lidan, Liwei Zhang, & Hongwei Zhang. (2020). Inverse semidefinite quadratic programming problem with l1 norm measure. Journal of Computational and Applied Mathematics. 376. 112838–112838. 2 indexed citations
8.
Wang, Jue & Liwei Zhang. (2018). Proximal advantage in knowledge diffusion: The time dimension. Journal of Informetrics. 12(3). 858–867. 13 indexed citations
9.
Zhang, Tianyu, Jielin Xu, Siyuan Deng, et al.. (2018). Core signaling pathways in ovarian cancer stem cell revealed by integrative analysis of multi-marker genomics data. PLoS ONE. 13(5). e0196351–e0196351. 16 indexed citations
10.
Han, Deren, Defeng Sun, & Liwei Zhang. (2017). Linear Rate Convergence of the Alternating Direction Method of Multipliers for Convex Composite Programming. Mathematics of Operations Research. 43(2). 622–637. 77 indexed citations
11.
Luo, Pei, Yunsi Fei, Liwei Zhang, & A. Adam Ding. (2017). Differential Fault Analysis of SHA-3 Under Relaxed Fault Models. 1(2). 156–172. 5 indexed citations
12.
Zhang, Jie, Yaqi Zhang, & Liwei Zhang. (2014). A sample average approximation regularization method for a stochastic mathematical program with general vertical complementarity constraints. Journal of Computational and Applied Mathematics. 280. 202–216. 3 indexed citations
13.
Zhang, Liwei, et al.. (2012). A smoothing Newton method based on sample average approximation for a class of stochastic generalized Nash equilibrium problems. ePrints Soton (University of Southampton). 1 indexed citations
14.
Zhang, Yi, et al.. (2012). A perturbation approach for an inverse linear second-order cone programming. Journal of Industrial and Management Optimization. 9(1). 171–189. 3 indexed citations
15.
Wang, Li, et al.. (2011). A differential equation method for solvingbox constrained variational inequality problems. Journal of Industrial and Management Optimization. 7(1). 183–198. 4 indexed citations
16.
Zhang, Liwei, et al.. (2010). A comparative study for fast-flux service networks detection. 346–350. 6 indexed citations
17.
Zhang, Shao‐Wu, et al.. (2007). An Algorithm Based on Resolvant Operators for Solving Positively Semidefinite Variational Inequalities. Fixed Point Theory and Applications. 2007(1). 3 indexed citations
18.
Zhang, Liwei, et al.. (2007). Convergence Properties of a Smoothing Method for Linear Second-order Cone Programming. Advances in Mathematics. 1 indexed citations
19.
Zhang, Liwei, et al.. (2007). Extension of smoothing functions to symmetric cone complementarity problems. Applied mathematics/Applied Mathematics. A Journal of Chinese Universities/Gao-xiao yingyong shuxue xuebao. 22(2). 245–252. 9 indexed citations
20.
Spedicato, Emilio, Zun-Quan Xia, & Liwei Zhang. (2000). ABS algorithms for linear equations and optimization. Journal of Computational and Applied Mathematics. 124(1-2). 155–170. 16 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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