Gonglin Yuan

2.7k total citations
104 papers, 2.1k citations indexed

About

Gonglin Yuan is a scholar working on Numerical Analysis, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Gonglin Yuan has authored 104 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Numerical Analysis, 52 papers in Computational Mechanics and 46 papers in Computational Theory and Mathematics. Recurrent topics in Gonglin Yuan's work include Advanced Optimization Algorithms Research (84 papers), Sparse and Compressive Sensing Techniques (50 papers) and Iterative Methods for Nonlinear Equations (46 papers). Gonglin Yuan is often cited by papers focused on Advanced Optimization Algorithms Research (84 papers), Sparse and Compressive Sensing Techniques (50 papers) and Iterative Methods for Nonlinear Equations (46 papers). Gonglin Yuan collaborates with scholars based in China, Vietnam and Australia. Gonglin Yuan's co-authors include Zengxin Wei, Xiwen Lu, Maojun Zhang, Zhou Sheng, Zhan Wang, Guoyin Li, Sha Lu, Zhigang Lian, Gaohang Yu and Yuning Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Acta Materialia.

In The Last Decade

Gonglin Yuan

96 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gonglin Yuan China 25 1.6k 949 824 300 272 104 2.1k
Zengxin Wei China 24 1.6k 1.0× 760 0.8× 936 1.1× 220 0.7× 174 0.6× 69 1.9k
Neculai Andrei Romania 26 1.5k 0.9× 688 0.7× 881 1.1× 211 0.7× 128 0.5× 48 1.8k
Wenyu Sun China 14 870 0.6× 422 0.4× 669 0.8× 212 0.7× 81 0.3× 69 1.4k
Auwal Bala Abubakar Nigeria 23 1.0k 0.7× 824 0.9× 388 0.5× 49 0.2× 240 0.9× 96 1.4k
Sandra A. Santos Brazil 20 782 0.5× 431 0.5× 703 0.9× 188 0.6× 50 0.2× 68 1.2k
Mohammed Yusuf Waziri Nigeria 19 763 0.5× 452 0.5× 264 0.3× 77 0.3× 157 0.6× 107 1.1k
Ibrahim Mohammed Sulaiman Malaysia 17 342 0.2× 243 0.3× 174 0.2× 129 0.4× 170 0.6× 106 884
David Yang Gao United States 24 623 0.4× 175 0.2× 1.0k 1.2× 113 0.4× 70 0.3× 116 2.0k
Yushun Wang China 21 1.1k 0.7× 432 0.5× 89 0.1× 96 0.3× 80 0.3× 198 2.0k
Hiroshi Yabe Japan 23 805 0.5× 436 0.5× 518 0.6× 47 0.2× 54 0.2× 101 1.4k

Countries citing papers authored by Gonglin Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Gonglin Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gonglin Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Gonglin Yuan. A scholar is included among the top collaborators of Gonglin Yuan 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 Gonglin Yuan. Gonglin Yuan 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.
Xu, Ying, et al.. (2025). Real-time global coagulation assay via ordered porous layer interferometry using silica colloidal crystal film. Analytica Chimica Acta. 1350. 343876–343876.
2.
Yan, Weiping, et al.. (2025). Fast optimization and algorithms for the charged particle dynamics with variable density. Bulletin of Mathematical Sciences. 1–40.
3.
Zhang, Zhao, et al.. (2025). An improvement by introducing LBFGS idea into the Adam optimizer for machine learning. Expert Systems with Applications. 296. 129002–129002. 1 indexed citations
4.
Yan, Weiping, et al.. (2024). Fast Optimization of Charged Particle Dynamics with Damping. SIAM Journal on Optimization. 34(3). 2287–2313.
5.
Yuan, Gonglin, et al.. (2024). An inertial conjugate gradient projection method for large-scale nonlinear equations and its application in the image restoration problems. Journal of King Saud University - Science. 36(11). 103547–103547. 1 indexed citations
6.
Qin, Yan, et al.. (2023). Biased stochastic conjugate gradient algorithm with adaptive step size for nonconvex problems. Expert Systems with Applications. 238. 121556–121556. 16 indexed citations
7.
Zhao, Peng-Cheng, Bo Chen, Joe Kelleher, et al.. (2019). High-cycle-fatigue induced continuous grain growth in ultrafine-grained titanium. Acta Materialia. 174. 29–42. 54 indexed citations
8.
Sheng, Zhou, Qin Ni, & Gonglin Yuan. (2019). Local convergence analysis of inverse iteration algorithm for computing the H-spectral radius of a nonnegative weakly irreducible tensor. Journal of Computational and Applied Mathematics. 357. 26–37. 1 indexed citations
9.
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
10.
Ahmad, Fayyaz, et al.. (2016). Solving systems of nonlinear equations using decomposition technique. 5(3). 187–198. 1 indexed citations
11.
Yuan, Gonglin & Maojun Zhang. (2015). A three-terms Polak–Ribière–Polyak conjugate gradient algorithm for large-scale nonlinear equations. Journal of Computational and Applied Mathematics. 286. 186–195. 94 indexed citations
12.
Yuan, Gonglin, Sha Lu, & Zengxin Wei. (2011). A new trust-region method with line search for solving symmetric nonlinear equations. International Journal of Computer Mathematics. 88(10). 2109–2123. 23 indexed citations
13.
Yuan, Gonglin & Xiangrong Li. (2010). A Modified Consumer Price Index. Modern Economy. 1(2). 112–117. 3 indexed citations
14.
Yuan, Gonglin, et al.. (2010). A Nonmonotone Line Search Method for Symmetric Nonlinear Equations. Intelligent Control and Automation. 1(1). 28–35. 1 indexed citations
15.
Yuan, Gonglin. (2010). A New Method with Descent Property for Symmetric Nonlinear Equations. Numerical Functional Analysis and Optimization. 31(8). 974–987. 9 indexed citations
16.
Yuan, Gonglin, et al.. (2009). Morphology and Performance of Polyvinylidene Fluoride/Perfluorosulphonic Acid Hollow Fibre Ultrafiltration Blend Membranes. Iranian Polymer Journal. 18(11113). 891–902. 7 indexed citations
17.
Yuan, Gonglin & Zengxin Wei. (2009). A Rank-one Fitting Method for Unconstrained Optimization Problems. Mathematica Applicata. 22(1). 118–122. 4 indexed citations
18.
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
19.
Yuan, Gonglin & Xiwen Lu. (2007). A new backtracking inexact BFGS method for symmetric nonlinear equations. Computers & Mathematics with Applications. 55(1). 116–129. 65 indexed citations
20.
Yuan, Gonglin, et al.. (2006). A Modified Gauss-Newton-based BFGS Method for Symmetric Nonlinear Equations. 13(4). 288–292. 5 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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