Guolin Yu

1.3k total citations
106 papers, 1.1k citations indexed

About

Guolin Yu is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Artificial Intelligence. According to data from OpenAlex, Guolin Yu has authored 106 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computational Theory and Mathematics, 29 papers in Numerical Analysis and 24 papers in Artificial Intelligence. Recurrent topics in Guolin Yu's work include Optimization and Variational Analysis (42 papers), Advanced Optimization Algorithms Research (29 papers) and Semiconductor Quantum Structures and Devices (17 papers). Guolin Yu is often cited by papers focused on Optimization and Variational Analysis (42 papers), Advanced Optimization Algorithms Research (29 papers) and Semiconductor Quantum Structures and Devices (17 papers). Guolin Yu collaborates with scholars based in China, Japan and Canada. Guolin Yu's co-authors include Tetsuo Soga, Junji Watanabe, T. Jimbo, M. Umeno, D. J. Lockwood, N. L. Rowell, Takashi Egawa, Hiroyasu Ishikawa, Masayoshi Umeno and Takashi Jimbo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical review. B, Condensed matter and Applied Physics Letters.

In The Last Decade

Guolin Yu

88 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guolin Yu China 15 401 388 315 308 184 106 1.1k
S. M. Islam United States 17 307 0.8× 567 1.5× 325 1.0× 220 0.7× 220 1.2× 32 1.3k
H. Hahn Germany 19 676 1.7× 654 1.7× 159 0.5× 235 0.8× 89 0.5× 65 1.1k
J.J. Miles United Kingdom 16 243 0.6× 282 0.7× 133 0.4× 914 3.0× 211 1.1× 94 1.4k
Yasushi Kanai Japan 17 413 1.0× 163 0.4× 110 0.3× 929 3.0× 244 1.3× 210 1.3k
Y.-C. Chen Taiwan 18 352 0.9× 200 0.5× 630 2.0× 407 1.3× 184 1.0× 42 1.2k
D.O. Pederson United States 21 793 2.0× 333 0.9× 222 0.7× 150 0.5× 231 1.3× 100 1.5k
D. Tian China 21 165 0.4× 96 0.2× 226 0.7× 673 2.2× 100 0.5× 60 1.4k
P.S. Dutta United States 23 1.1k 2.7× 85 0.2× 719 2.3× 472 1.5× 201 1.1× 108 1.7k
Simon John Greaves Japan 17 152 0.4× 214 0.6× 117 0.4× 815 2.6× 163 0.9× 147 1.0k
Shipei Huang China 21 185 0.5× 360 0.9× 256 0.8× 86 0.3× 91 0.5× 68 1.5k

Countries citing papers authored by Guolin Yu

Since Specialization
Citations

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

Fields of papers citing papers by Guolin Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guolin Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Guolin Yu. A scholar is included among the top collaborators of Guolin Yu 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 Guolin Yu. Guolin Yu 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.
Yu, Guolin, et al.. (2025). The angular spectrum of the $\boldsymbol{3\times 3}$ copositive cone. Electronic Journal of Linear Algebra. 41. 122–141.
2.
Yu, Guolin, et al.. (2025). Optimal conditions in uncertain set-valued optimization problems via second-order subdifferential involving Minkowski difference with application to zero-sum matrix games. Journal of Computational and Applied Mathematics. 464. 116530–116530. 1 indexed citations
3.
Wang, Haoyu, Guolin Yu, & Jun Ma. (2025). Quantile pattern regression using twin extreme learning machines with smooth pinball loss. Neurocomputing. 638. 130171–130171.
4.
Wei, Bo, et al.. (2024). Robust Twin Extreme Learning Machine Based on Soft Truncated Capped L1-Norm Loss Function. Electronics. 13(22). 4533–4533.
5.
Yu, Guolin, et al.. (2024). Higher-order optimality conditions with separated derivatives and sensitivity analysis for set-valued optimization. RAIRO. Operations research. 58(4). 3049–3067.
6.
Ma, Jun & Guolin Yu. (2024). Distribution-free Bayesian regularized learning framework for semi-supervised learning. Neural Networks. 174. 106262–106262. 1 indexed citations
7.
Wang, Haoyu, Guolin Yu, & Jun Ma. (2023). Fast sparse twin learning framework for large-scale pattern classification. Engineering Applications of Artificial Intelligence. 130. 107730–107730. 3 indexed citations
8.
Ma, Jun & Guolin Yu. (2023). A generalized adaptive robust distance metric driven smooth regularization learning framework for pattern recognition. Signal Processing. 211. 109102–109102. 3 indexed citations
9.
Yu, Guolin, et al.. (2023). Sparse robust adaptive unsupervised subspace learning for dimensionality reduction. Engineering Applications of Artificial Intelligence. 129. 107582–107582. 3 indexed citations
10.
11.
Ma, Jun, et al.. (2023). Safe semi-supervised learning for pattern classification. Engineering Applications of Artificial Intelligence. 121. 106021–106021. 9 indexed citations
12.
Yu, Guolin, et al.. (2022). Scalarization and semicontinuity of approximate solutions to set optimization problems. 2022(2). 1 indexed citations
13.
Yu, Guolin, et al.. (2022). A complementarity model for a supply chain network equilibrium problem with electronic commerce. Journal of Industrial and Management Optimization. 19(9). 6705–6735.
14.
Li, Ru & Guolin Yu. (2020). Strict efficiency of a multi-product supply-demand network equilibrium model. Journal of Industrial and Management Optimization. 17(4). 2203–2203. 1 indexed citations
15.
Yu, Guolin, et al.. (2017). A class of generalized invex functions and vector variational-like inequalities. Journal of Inequalities and Applications. 2017(1). 70–70. 6 indexed citations
16.
Wang, Zhen, et al.. (2017). Vector critical points and generalized quasi-efficient solutions in nonsmooth multi-objective programming. Journal of Inequalities and Applications. 2017(1). 184–184. 2 indexed citations
17.
Yu, Guolin. (2014). Topological properties of Henig globally efficient solutions of set-valued problems. Numerical Algebra Control and Optimization. 4(4). 309–316. 2 indexed citations
18.
Yu, Guolin, et al.. (2012). Magnetotransport property of HgCdTe inversion layer. Acta Physica Sinica. 61(2). 27301–27301. 2 indexed citations
19.
20.
Yu, Guolin & Sanyang Liu. (2007). Some vector optimization problems in Banach spaces with generalized convexity. Computers & Mathematics with Applications. 54(11-12). 1403–1410. 6 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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