Xiangkai Sun

733 total citations
45 papers, 523 citations indexed

About

Xiangkai Sun is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Management Science and Operations Research. According to data from OpenAlex, Xiangkai Sun has authored 45 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computational Theory and Mathematics, 16 papers in Numerical Analysis and 16 papers in Management Science and Operations Research. Recurrent topics in Xiangkai Sun's work include Optimization and Variational Analysis (35 papers), Advanced Optimization Algorithms Research (16 papers) and Risk and Portfolio Optimization (15 papers). Xiangkai Sun is often cited by papers focused on Optimization and Variational Analysis (35 papers), Advanced Optimization Algorithms Research (16 papers) and Risk and Portfolio Optimization (15 papers). Xiangkai Sun collaborates with scholars based in China, Malaysia and Australia. Xiangkai Sun's co-authors include Kok Lay Teo, Xian-Jun Long, Jing Zeng, Sichen Li, Yi Chai, Liping Tang, Cuiying Li, Shengjie Li, Dongfeng Jia and Zhiwei Wei and has published in prestigious journals such as Nature, Physiologia Plantarum and Journal of Mathematical Analysis and Applications.

In The Last Decade

Xiangkai Sun

44 papers receiving 482 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiangkai Sun China 14 343 175 131 84 77 45 523
Augustyn Markiewicz Poland 13 172 0.5× 60 0.3× 165 1.3× 45 0.5× 188 2.4× 58 506
Radosław Kala Poland 11 268 0.8× 121 0.7× 79 0.6× 57 0.7× 93 1.2× 45 499
Andreas Löhne Germany 14 363 1.1× 298 1.7× 143 1.1× 99 1.2× 112 1.5× 34 508
Tamaki Tanaka Japan 11 361 1.1× 229 1.3× 96 0.7× 118 1.4× 97 1.3× 52 507
Norbert Gaffke Germany 14 215 0.6× 70 0.4× 275 2.1× 28 0.3× 125 1.6× 40 481
Daishi Kuroiwa Japan 13 629 1.8× 450 2.6× 199 1.5× 84 1.0× 219 2.8× 47 712
R. Osuna-Gómez Spain 17 576 1.7× 291 1.7× 173 1.3× 274 3.3× 256 3.3× 55 744
Akihisa Tamura Japan 14 318 0.9× 61 0.3× 204 1.6× 16 0.2× 9 0.1× 61 645
Chin-Tzong Pang Taiwan 12 159 0.5× 47 0.3× 58 0.4× 74 0.9× 25 0.3× 45 332
Łukasz Stettner Poland 14 69 0.2× 13 0.1× 107 0.8× 120 1.4× 73 0.9× 72 487

Countries citing papers authored by Xiangkai Sun

Since Specialization
Citations

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

Fields of papers citing papers by Xiangkai Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangkai Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangkai Sun. A scholar is included among the top collaborators of Xiangkai Sun 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 Xiangkai Sun. Xiangkai Sun 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.
Long, Xian-Jun, et al.. (2025). An accelerated preconditioned primal-dual gradient algorithm for structured nonconvex optimization problems. Communications in Nonlinear Science and Numerical Simulation. 153. 109480–109480.
2.
Finkelstein, Ran, Xiangkai Sun, Pascal Scholl, et al.. (2024). Universal quantum operations and ancilla-based read-out for tweezer clocks. Nature. 634(8033). 321–327. 30 indexed citations
3.
Sun, Xiangkai, et al.. (2024). Exact SDP Reformulations for Adjustable Robust Quadratic Optimization with Affine Decision Rules. Journal of Optimization Theory and Applications. 203(3). 2206–2232. 1 indexed citations
4.
Sun, Xiangkai, et al.. (2023). Characterizing a Class of Robust Vector Polynomial Optimization via Sum of Squares Conditions. Journal of Optimization Theory and Applications. 197(2). 737–764. 8 indexed citations
5.
Zhang, Huan, et al.. (2023). On second-order conic programming duals for robust convex quadratic optimization problems. Journal of Industrial and Management Optimization. 19(11). 8114–8128. 1 indexed citations
6.
Sun, Xiangkai, et al.. (2022). Finite-volume pionless effective field theory for few-nucleon systems with differentiable programming. Physical review. D. 105(7). 5 indexed citations
7.
Sun, Xiangkai, et al.. (2020). Robust approximate optimal solutions for nonlinear semi-infinite programming with uncertainty. Optimization. 69(9). 2109–2129. 26 indexed citations
8.
Sun, Xiangkai, Liping Tang, Xian-Jun Long, & Minghua Li. (2017). Some dual characterizations of Farkas-type results for fractional programming problems. Optimization Letters. 12(6). 1403–1420. 1 indexed citations
9.
Sun, Xiangkai, Xian-Jun Long, & Minghua Li. (2017). Some characterizations of duality for DC optimization with composite functions. Optimization. 66(9). 1425–1443. 5 indexed citations
10.
Sun, Xiangkai, et al.. (2016). Some characterizations of robust optimal solutions for uncertain fractional optimization and applications. Journal of Industrial and Management Optimization. 13(2). 803–824. 15 indexed citations
11.
Long, Xian-Jun, et al.. (2016). Levitin-Polyak well-posedness for generalized semi-infinite multiobjective programming problems. Journal of Inequalities and Applications. 2016(1). 1 indexed citations
12.
Zeng, Jing, et al.. (2016). Existence of solutions and Hadamard well-posedness for generalized strong vector quasi-equilibrium problems. The Journal of Nonlinear Sciences and Applications. 9(6). 4104–4113. 2 indexed citations
13.
Sun, Xiangkai, et al.. (2016). Necessary optimality conditions for DC infinite programs with inequality constraints. The Journal of Nonlinear Sciences and Applications. 9(2). 617–626. 2 indexed citations
14.
Sun, Xiangkai, et al.. (2015). A method of differential and sensitivity properties for weak vector variational inequalities. The Journal of Nonlinear Sciences and Applications. 8(4). 434–441. 1 indexed citations
15.
Sun, Xiangkai. (2014). Regularity conditions characterizing Fenchel–Lagrange duality and Farkas-type results in DC infinite programming. Journal of Mathematical Analysis and Applications. 414(2). 590–611. 18 indexed citations
16.
Zhang, Fuchen, et al.. (2014). New estimate the bounds for the generalized Lorenz system. Mathematical Methods in the Applied Sciences. 38(8). 1696–1704. 6 indexed citations
17.
Li, Chao, Xiangkai Sun, Dongfeng Jia, et al.. (2014). Dopamine alleviates salt‐induced stress in Malus hupehensis. Physiologia Plantarum. 153(4). 584–602. 81 indexed citations
18.
Sun, Xiangkai & Shengjie Li. (2012). Gap functions for generalized vector equilibrium problems via conjugate duality and applications. Applicable Analysis. 92(10). 2182–2199. 2 indexed citations
19.
Li, S.J., et al.. (2012). Second-order contingent derivatives of set-valued mappings with application to set-valued optimization. Applied Mathematics and Computation. 218(12). 6874–6886. 6 indexed citations
20.
Li, Sichen, et al.. (2010). Conjugate Duality in Constrained Set-Valued Vector Optimization Problems. Numerical Functional Analysis and Optimization. 32(1). 65–82. 2 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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