Ya-xiang Yuan

5.8k total citations · 1 hit paper
89 papers, 3.8k citations indexed

About

Ya-xiang Yuan is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Ya-xiang Yuan has authored 89 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Numerical Analysis, 49 papers in Computational Theory and Mathematics and 36 papers in Computational Mechanics. Recurrent topics in Ya-xiang Yuan's work include Advanced Optimization Algorithms Research (66 papers), Sparse and Compressive Sensing Techniques (34 papers) and Matrix Theory and Algorithms (29 papers). Ya-xiang Yuan is often cited by papers focused on Advanced Optimization Algorithms Research (66 papers), Sparse and Compressive Sensing Techniques (34 papers) and Matrix Theory and Algorithms (29 papers). Ya-xiang Yuan collaborates with scholars based in China, United States and Brazil. Ya-xiang Yuan's co-authors include Wenyu Sun, Jinyan Fan, Yu‐Hong Dai, Jorge Nocedal, Richard H. Byrd, Zaiwen Wen, Jinyun Yuan, Xinwei Liu, Xin Liu and Jiang Hu and has published in prestigious journals such as IEEE Transactions on Signal Processing, Mathematics of Computation and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Ya-xiang Yuan

85 papers receiving 3.5k citations

Hit Papers

Optimization Theory and M... 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ya-xiang Yuan China 28 2.1k 1.5k 1.2k 597 447 89 3.8k
Renato D. C. Monteiro United States 32 2.8k 1.3× 2.5k 1.7× 1.6k 1.3× 739 1.2× 428 1.0× 107 4.2k
Hongchao Zhang United States 22 2.1k 1.0× 1.3k 0.9× 1.6k 1.4× 581 1.0× 276 0.6× 61 3.5k
Stefano Lucidi Italy 34 2.3k 1.1× 2.0k 1.4× 824 0.7× 712 1.2× 678 1.5× 117 3.9k
Katya Scheinberg United States 26 1.1k 0.5× 1.1k 0.8× 1.0k 0.9× 1.3k 2.2× 443 1.0× 55 3.5k
J. Frédéric Bonnans France 26 2.1k 1.0× 2.6k 1.8× 1.0k 0.9× 303 0.5× 995 2.2× 119 4.9k
Yu‐Hong Dai China 29 1.6k 0.7× 1.1k 0.7× 1.2k 1.0× 412 0.7× 179 0.4× 129 3.3k
Marcos Raydan Venezuela 22 2.0k 0.9× 1.5k 1.0× 1.3k 1.1× 384 0.6× 239 0.5× 80 3.3k
Defeng Sun Singapore 43 3.5k 1.6× 3.0k 2.1× 2.6k 2.2× 380 0.6× 531 1.2× 125 5.7k
James V. Burke United States 34 1.8k 0.8× 2.0k 1.3× 812 0.7× 334 0.6× 964 2.2× 90 3.5k
Jonathan Eckstein United States 22 1.4k 0.6× 1.5k 1.0× 1.4k 1.2× 314 0.5× 227 0.5× 58 3.5k

Countries citing papers authored by Ya-xiang Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Ya-xiang Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ya-xiang Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Ya-xiang Yuan. A scholar is included among the top collaborators of Ya-xiang 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 Ya-xiang Yuan. Ya-xiang 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.
Gao, Bin, et al.. (2025). Low-rank optimization on Tucker tensor varieties. Mathematical Programming. 214(1-2). 357–407. 1 indexed citations
2.
Hu, Jiang, Xin Liu, Zaiwen Wen, & Ya-xiang Yuan. (2020). A Brief Introduction to Manifold Optimization. Journal of the Operations Research Society of China. 8(2). 199–248. 114 indexed citations
3.
Wang, Xiao, et al.. (2018). Stochastic proximal quasi-Newton methods for non-convex composite optimization. Optimization methods & software. 34(5). 922–948. 18 indexed citations
4.
Hu, Jiang, et al.. (2018). Adaptive Quadratically Regularized Newton Method for Riemannian Optimization. SIAM Journal on Matrix Analysis and Applications. 39(3). 1181–1207. 36 indexed citations
5.
Burdakov, Oleg, et al.. (2016). Shape-Changing L-SR1 Trust-Region Methods. arXiv (Cornell University). 2 indexed citations
6.
Grapiglia, Geovani Nunes, et al.. (2016). Nonlinear Stepsize Control Algorithms: Complexity Bounds for First- and Second-Order Optimality. Journal of Optimization Theory and Applications. 171(3). 980–997. 14 indexed citations
7.
Liu, Xin, Zaiwen Wen, Xiao Wang, Michael Ulbrich, & Ya-xiang Yuan. (2015). On the Analysis of the Discretized Kohn--Sham Density Functional Theory. SIAM Journal on Numerical Analysis. 53(4). 1758–1785. 26 indexed citations
8.
Wen, Zaiwen, et al.. (2014). On the Convergence of the Self-Consistent Field Iteration in Kohn--Sham Density Functional Theory. SIAM Journal on Matrix Analysis and Applications. 35(2). 546–558. 28 indexed citations
9.
Yuan, Ya-xiang. (2013). A Counter-Example to a Conjecture of Ben-Tal, Nemirovski and Roos. Journal of the Operations Research Society of China. 1(1). 155–157. 1 indexed citations
10.
Yuan, Ya-xiang, et al.. (2012). Low complexity interference alignment algorithms for desired signal power maximization problem of MIMO channels. EURASIP Journal on Advances in Signal Processing. 2012(1). 17 indexed citations
11.
Yuan, Ya-xiang. (2011). Recent advances in numerical methods for nonlinear equations andnonlinear least squares. Numerical Algebra Control and Optimization. 1(1). 15–34. 65 indexed citations
12.
Yuan, Ya-xiang, et al.. (2006). Optimization Theory and Methods. Kluwer Academic Publishers eBooks. 410 indexed citations
13.
Wang, Yanfei & Ya-xiang Yuan. (2005). Convergence and regularity of trust region methods for nonlinear ill-posed inverse problems. Inverse Problems. 21(3). 821–838. 36 indexed citations
14.
Wang, Yanfei, Ya-xiang Yuan, & Hongchao Zhang. (2002). A trust region-CG algorithm for deblurring problem in atmospheric image reconstruction. Science China Mathematics. 45(6). 731–740. 8 indexed citations
15.
Dai, Yu‐Hong, Jinyun Yuan, & Ya-xiang Yuan. (2002). Modified Two-Point Stepsize Gradient Methods for Unconstrained Optimization. Computational Optimization and Applications. 22(1). 103–109. 91 indexed citations
16.
Sun, Wenyu & Ya-xiang Yuan. (2001). A Conic Trust-Region Method for Nonlinearly Constrained Optimization. Annals of Operations Research. 103(1-4). 175–191. 26 indexed citations
17.
Dai, Yu‐Hong & Ya-xiang Yuan. (1999). Global convergence of the method of shortest residuals. Numerische Mathematik. 83(4). 581–598. 13 indexed citations
18.
Yuan, Ya-xiang, et al.. (1998). A stronger extension of the hardy inequality. Linear Algebra and its Applications. 270(1-3). 275–286. 2 indexed citations
19.
Yuan, Ya-xiang. (1993). Analysis on the conjugate gradient method. Optimization methods & software. 2(1). 19–29. 39 indexed citations
20.
Yuan, Ya-xiang. (1992). On self-dual update formulae in the Broyden family. Optimization methods & software. 1(2). 117–127. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026