Phan Tu Vuong

2.9k total citations
45 papers, 1.0k citations indexed

About

Phan Tu Vuong is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Computational Mechanics. According to data from OpenAlex, Phan Tu Vuong has authored 45 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computational Theory and Mathematics, 28 papers in Numerical Analysis and 12 papers in Computational Mechanics. Recurrent topics in Phan Tu Vuong's work include Optimization and Variational Analysis (35 papers), Advanced Optimization Algorithms Research (28 papers) and Sparse and Compressive Sensing Techniques (12 papers). Phan Tu Vuong is often cited by papers focused on Optimization and Variational Analysis (35 papers), Advanced Optimization Algorithms Research (28 papers) and Sparse and Compressive Sensing Techniques (12 papers). Phan Tu Vuong collaborates with scholars based in Vietnam, United Kingdom and Austria. Phan Tu Vuong's co-authors include Jean Jacques Strodiot, Yekini Shehu, Van Hien Nguyen, Pham Duy Khanh, Duong Viet Thong, Francisco J. Aragón Artacho, Ronan M. T. Fleming, Do Sang Kim, Nguyễn Thị Thu Hà and Radu Ioan Boţ and has published in prestigious journals such as Bioinformatics, Mathematical Programming and Systems & Control Letters.

In The Last Decade

Phan Tu Vuong

40 papers receiving 985 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Phan Tu Vuong Vietnam 18 870 719 208 178 153 45 1.0k
Nguyen Mau Nam United States 18 682 0.8× 513 0.7× 218 1.0× 56 0.3× 118 0.8× 54 820
Hideaki Iiduka Japan 19 1.3k 1.5× 1.1k 1.5× 525 2.5× 249 1.4× 176 1.2× 54 1.4k
Alberto Seeger France 20 993 1.1× 732 1.0× 329 1.6× 83 0.5× 158 1.0× 115 1.3k
Lê Dũng Mưu Vietnam 22 1.3k 1.5× 1.1k 1.6× 407 2.0× 123 0.7× 96 0.6× 76 1.4k
Fenghui Wang China 17 1.1k 1.3× 812 1.1× 584 2.8× 57 0.3× 247 1.6× 53 1.3k
Regina S. Burachik Australia 21 1.2k 1.4× 954 1.3× 286 1.4× 69 0.4× 291 1.9× 67 1.4k
Soon‐Yi Wu Taiwan 18 608 0.7× 458 0.6× 129 0.6× 59 0.3× 183 1.2× 69 847
Gert Wanka Germany 15 831 1.0× 605 0.8× 162 0.8× 47 0.3× 89 0.6× 65 932
B. M. Glover Australia 17 628 0.7× 492 0.7× 104 0.5× 39 0.2× 57 0.4× 39 718
Alexander Y. Kruger Australia 18 566 0.7× 410 0.6× 216 1.0× 39 0.2× 55 0.4× 60 716

Countries citing papers authored by Phan Tu Vuong

Since Specialization
Citations

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

Fields of papers citing papers by Phan Tu Vuong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phan Tu Vuong. 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 Phan Tu Vuong. The network helps show where Phan Tu Vuong may publish in the future.

Co-authorship network of co-authors of Phan Tu Vuong

This figure shows the co-authorship network connecting the top 25 collaborators of Phan Tu Vuong. A scholar is included among the top collaborators of Phan Tu Vuong 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 Phan Tu Vuong. Phan Tu Vuong 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.
Lara, Felipe, et al.. (2025). Characterizations, Dynamical Systems and Gradient Methods for Strongly Quasiconvex Functions. Journal of Optimization Theory and Applications. 206(3). 1 indexed citations
2.
Thong, Duong Viet, et al.. (2024). An inertial extragradient method for solving strongly pseudomonotone equilibrium problems in Hilbert spaces. Computational and Applied Mathematics. 43(6).
3.
Vuong, Phan Tu, et al.. (2024). A fixed-time stable forward–backward dynamical system for solving generalized monotone inclusions. Journal of Applied Mathematics and Computing. 70(6). 5857–5885. 1 indexed citations
4.
5.
Vuong, Phan Tu, et al.. (2023). A refined convergence analysis of Popov's algorithm for pseudo-monotone variational inequalities. Optimization. 74(1). 105–122.
6.
Fleming, Ronan M. T., Hulda S. Haraldsdóttir, Hoai Minh Le, et al.. (2023). Cardinality optimization in constraint-based modelling: application to human metabolism. Bioinformatics. 39(9). 4 indexed citations
7.
Vuong, Phan Tu, et al.. (2022). A second-order dynamical system for equilibrium problems. Numerical Algorithms. 91(1). 327–351. 4 indexed citations
8.
Vuong, Phan Tu, et al.. (2022). Finite convergence of extragradient-type methods for solving variational inequalities under weak sharp condition. Computational and Applied Mathematics. 41(8).
9.
Thong, Duong Viet & Phan Tu Vuong. (2021). Improved subgradient extragradient methods for solving pseudomonotone variational inequalities in Hilbert spaces. Applied Numerical Mathematics. 163. 221–238. 6 indexed citations
10.
Vuong, Phan Tu. (2021). A Second Order Dynamical System and Its Discretization for Strongly Pseudo-monotone Variational Inequalities. SIAM Journal on Control and Optimization. 59(4). 2875–2897. 17 indexed citations
11.
Vuong, Phan Tu, Xiaozheng He, & Duong Viet Thong. (2021). Global Exponential Stability of a Neural Network for Inverse Variational Inequalities. Journal of Optimization Theory and Applications. 190(3). 915–930. 4 indexed citations
12.
Boţ, Radu Ioan, Panayotis Mertikopoulos, Mathias Staudigl, & Phan Tu Vuong. (2021). Minibatch Forward-Backward-Forward Methods for Solving Stochastic Variational Inequalities. Stochastic Systems. 11(2). 112–139. 23 indexed citations
13.
Thong, Duong Viet, Aviv Gibali, Mathias Staudigl, & Phan Tu Vuong. (2020). Computing Dynamic User Equilibrium on Large-Scale Networks Without\n Knowing Global Parameters. arXiv (Cornell University). 5 indexed citations
14.
Artacho, Francisco J. Aragón, et al.. (2020). Using Positive Spanning Sets to Achieve d-Stationarity with the Boosted DC Algorithm. ePrints Soton (University of Southampton). 7 indexed citations
15.
Vuong, Phan Tu & Jean Jacques Strodiot. (2020). A Dynamical System for Strongly Pseudo-monotone Equilibrium Problems. Journal of Optimization Theory and Applications. 185(3). 767–784. 22 indexed citations
16.
Vuong, Phan Tu. (2019). The Global Exponential Stability of a Dynamical System for Solving Variational Inequalities. Networks and Spatial Economics. 22(2). 395–407. 18 indexed citations
17.
Shehu, Yekini, Phan Tu Vuong, & Prasit Cholamjiak. (2019). A self-adaptive projection method with an inertial technique for split feasibility problems in Banach spaces with applications to image restoration problems. Journal of Fixed Point Theory and Applications. 21(2). 27 indexed citations
18.
Vuong, Phan Tu. (2018). On the Weak Convergence of the Extragradient Method for Solving Pseudo-Monotone Variational Inequalities. Journal of Optimization Theory and Applications. 176(2). 399–409. 109 indexed citations
19.
Boţ, Radu Ioan, Ernö Robert Csetnek, & Phan Tu Vuong. (2018). The Forward-Backward-Forward Method from discrete and continuous perspective for pseudo-monotone variational inequalities in Hilbert Spaces. arXiv (Cornell University). 12 indexed citations
20.
Vuong, Phan Tu, Jean Jacques Strodiot, & Van Hien Nguyen. (2014). A gradient projection method for solving split equality and split feasibility problems in Hilbert spaces. Optimization. 64(11). 2321–2341. 19 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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