Guoyin Li

4.0k total citations
123 papers, 2.8k citations indexed

About

Guoyin Li is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Management Science and Operations Research. According to data from OpenAlex, Guoyin Li has authored 123 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Computational Theory and Mathematics, 69 papers in Numerical Analysis and 38 papers in Management Science and Operations Research. Recurrent topics in Guoyin Li's work include Advanced Optimization Algorithms Research (68 papers), Optimization and Variational Analysis (58 papers) and Risk and Portfolio Optimization (37 papers). Guoyin Li is often cited by papers focused on Advanced Optimization Algorithms Research (68 papers), Optimization and Variational Analysis (58 papers) and Risk and Portfolio Optimization (37 papers). Guoyin Li collaborates with scholars based in Australia, China and Hong Kong. Guoyin Li's co-authors include V. Jeyakumar, Zengxin Wei, Liqun Qi, Wei Gao, Ting Kei Pong, Miguel Á. Goberna, José Vicente‐Pérez, Gaohang Yu, Chunming Tang and Boris S. Mordukhovich and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomaterials and European Journal of Operational Research.

In The Last Decade

Guoyin Li

119 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guoyin Li Australia 31 1.5k 1.3k 674 589 406 123 2.8k
Defeng Sun Singapore 43 3.0k 2.0× 3.5k 2.7× 161 0.2× 2.6k 4.4× 531 1.3× 125 5.7k
V. Jeyakumar Australia 37 3.2k 2.2× 2.4k 1.9× 950 1.4× 333 0.6× 1.1k 2.6× 167 3.9k
Farid Alizadeh United States 13 1.5k 1.0× 1.5k 1.2× 221 0.3× 557 0.9× 454 1.1× 29 2.7k
Didier Henrion France 33 1.3k 0.9× 1.3k 1.0× 98 0.1× 305 0.5× 2.7k 6.8× 202 4.2k
Boris S. Mordukhovich United States 41 6.6k 4.4× 4.3k 3.4× 437 0.6× 700 1.2× 1.5k 3.6× 264 7.5k
Joaquím J. Júdice Portugal 20 1.0k 0.7× 892 0.7× 101 0.1× 193 0.3× 544 1.3× 78 1.6k
Elizabeth D. Dolan United States 5 1.7k 1.1× 2.2k 1.7× 163 0.2× 889 1.5× 491 1.2× 7 3.2k
M. V. Solodov Brazil 32 2.8k 1.9× 2.7k 2.1× 148 0.2× 897 1.5× 359 0.9× 107 3.5k
Paul D. Frank United States 13 938 0.6× 297 0.2× 259 0.4× 246 0.4× 203 0.5× 21 1.8k
Michael J. Cloud United States 14 692 0.5× 137 0.1× 242 0.4× 100 0.2× 442 1.1× 35 2.1k

Countries citing papers authored by Guoyin Li

Since Specialization
Citations

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

Fields of papers citing papers by Guoyin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoyin Li

This figure shows the co-authorship network connecting the top 25 collaborators of Guoyin Li. A scholar is included among the top collaborators of Guoyin Li 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 Guoyin Li. Guoyin Li 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.
2.
Wang, Qihan, et al.. (2024). Polymorphic uncertainty field quantification in structural analysis with machine learning assistance. Mechanical Systems and Signal Processing. 225. 112273–112273. 4 indexed citations
3.
Wang, Qihan, Junxing Li, Wei Gao, et al.. (2024). Smoothing and approximation of grassland fire loading data for engineering structures by Capped Extended Support Vector Regression. Engineering Structures. 319. 118848–118848. 2 indexed citations
4.
Zeng, Liaoyuan, et al.. (2024). Frank–Wolfe-type methods for a class of nonconvex inequality-constrained problems. Mathematical Programming. 208(1-2). 717–761. 1 indexed citations
5.
Pham, Tan Nhat, Minh N. Dao, Rakibuzzaman Shah, et al.. (2023). A proximal subgradient algorithm with extrapolation for structured nonconvex nonsmooth problems. Numerical Algorithms. 94(4). 1763–1795. 2 indexed citations
6.
Boţ, Radu Ioan, Minh N. Dao, & Guoyin Li. (2023). Inertial Proximal Block Coordinate Method for a Class of Nonsmooth Sum-of-Ratios Optimization Problems. SIAM Journal on Optimization. 33(2). 361–393. 3 indexed citations
7.
Boţ, Radu Ioan, Minh N. Dao, & Guoyin Li. (2021). Extrapolated Proximal Subgradient Algorithms for Nonconvex and Nonsmooth Fractional Programs. Mathematics of Operations Research. 47(3). 2415–2443. 20 indexed citations
8.
Li, Guoyin, et al.. (2019). Deducing Kurdyka-{\L}ojasiewicz exponent via inf-projection. arXiv (Cornell University). 1 indexed citations
9.
Tang, Chunming, Jinbao Jian, & Guoyin Li. (2019). A proximal-projection partial bundle method for convex constrained minimax problems. Journal of Industrial and Management Optimization. 15(2). 757–774. 4 indexed citations
10.
Wu, Di, et al.. (2017). Uncertainty analysis for structures with hybrid random and interval parameters using mathematical programming approach. Applied Mathematical Modelling. 48. 208–232. 29 indexed citations
11.
Che, Maolin, Guoyin Li, Liqun Qi, & Yimin Wei. (2017). Pseudo-spectra theory of tensors and tensor polynomial eigenvalue problems. Linear Algebra and its Applications. 533. 536–572. 7 indexed citations
12.
Jeyakumar, V., et al.. (2017). Constraint qualifications for convex optimization without convexity of constraints : New connections and applications to best approximation. European Journal of Operational Research. 265(1). 19–25. 12 indexed citations
13.
Li, Guoyin & Ting Kei Pong. (2014). Douglas-Rachford splitting for nonconvex feasibility problems. arXiv (Cornell University). 3 indexed citations
14.
Jeyakumar, V., et al.. (2012). Lagrange multiplier characterizations of robust best approximations under constraint data uncertainty. Journal of Mathematical Analysis and Applications. 393(1). 285–297. 22 indexed citations
15.
Li, Guoyin, Liqun Qi, & Gaohang Yu. (2011). Semismoothness of the maximum eigenvalue function of a symmetric tensor and its application. Linear Algebra and its Applications. 438(2). 813–833. 22 indexed citations
16.
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
17.
Yu, Gaohang, et al.. (2008). Global convergence of modified Polak-Ribière-Polyak conjugate gradient methods with sufficient descent property. Journal of Industrial and Management Optimization. 4(3). 565–579. 30 indexed citations
18.
Li, Guoyin, Kung Fu Ng, & Xi Yin Zheng. (2007). Unified approach to some geometric results in variational analysis. Journal of Functional Analysis. 248(2). 317–343. 8 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.
Li, Guoyin, Robert Nordon, Emma B.H. Hume, et al.. (2004). Biological performance of a novel synthetic furanone-based antimicrobial. Biomaterials. 25(20). 5013–5021. 32 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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Breakdown of academic impact, for papers by Defeng Sun Breakdown of academic impact, for papers by V. Jeyakumar Breakdown of academic impact, for papers by Farid Alizadeh Breakdown of academic impact, for papers by Didier Henrion Breakdown of academic impact, for papers by Boris S. Mordukhovich Breakdown of academic impact, for papers by Joaquím J. Júdice Breakdown of academic impact, for papers by Elizabeth D. Dolan Breakdown of academic impact, for papers by M. V. Solodov Breakdown of academic impact, for papers by Paul D. Frank Breakdown of academic impact, for papers by Michael J. Cloud
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