Hung M. Phan

873 total citations
22 papers, 323 citations indexed

About

Hung M. Phan is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Computational Mechanics. According to data from OpenAlex, Hung M. Phan has authored 22 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computational Theory and Mathematics, 18 papers in Numerical Analysis and 7 papers in Computational Mechanics. Recurrent topics in Hung M. Phan's work include Optimization and Variational Analysis (20 papers), Advanced Optimization Algorithms Research (18 papers) and Sparse and Compressive Sensing Techniques (7 papers). Hung M. Phan is often cited by papers focused on Optimization and Variational Analysis (20 papers), Advanced Optimization Algorithms Research (18 papers) and Sparse and Compressive Sensing Techniques (7 papers). Hung M. Phan collaborates with scholars based in United States, Canada and Germany. Hung M. Phan's co-authors include Heinz H. Bauschke, Xianfu Wang, Minh N. Dao, D. Lüke, Boris S. Mordukhovich, Dominikus Noll, T. T. A. Nghia, Yunier Bello-Cruz, Nguyen Mau Nam and Tim Hoheisel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Operations Research and Mathematical Programming.

In The Last Decade

Hung M. Phan

22 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hung M. Phan United States 11 267 223 117 61 49 22 323
Dmitriy Drusvyatskiy United States 11 202 0.8× 164 0.7× 111 0.9× 67 1.1× 33 0.7× 37 319
Gong Chen United States 3 174 0.7× 153 0.7× 123 1.1× 43 0.7× 47 1.0× 4 278
A. Kaplan Germany 9 243 0.9× 199 0.9× 59 0.5× 47 0.8× 80 1.6× 39 303
Hein Hundal United States 11 270 1.0× 225 1.0× 145 1.2× 72 1.2× 65 1.3× 13 377
Andrzej Cegielski Poland 11 448 1.7× 354 1.6× 122 1.0× 176 2.9× 74 1.5× 25 515
Yunier Bello-Cruz Brazil 14 491 1.8× 453 2.0× 210 1.8× 45 0.7× 96 2.0× 43 596
Markus Schweighofer Germany 11 378 1.4× 316 1.4× 54 0.5× 69 1.1× 28 0.6× 22 477
João Xavier da Cruz Neto Brazil 12 332 1.2× 277 1.2× 96 0.8× 112 1.8× 27 0.6× 24 388
T. T. A. Nghia United States 15 478 1.8× 364 1.6× 128 1.1× 111 1.8× 88 1.8× 24 539
S.J. Li China 10 339 1.3× 327 1.5× 122 1.0× 57 0.9× 54 1.1× 29 490

Countries citing papers authored by Hung M. Phan

Since Specialization
Citations

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

Fields of papers citing papers by Hung M. Phan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hung M. Phan

This figure shows the co-authorship network connecting the top 25 collaborators of Hung M. Phan. A scholar is included among the top collaborators of Hung M. Phan 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 Hung M. Phan. Hung M. Phan 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.
Phan, Duy Nhat, et al.. (2024). Stochastic Variance-Reduced Majorization-Minimization Algorithms. SIAM Journal on Mathematics of Data Science. 6(4). 926–952. 1 indexed citations
2.
Phan, Hung M., et al.. (2022). An Adaptive Alternating Direction Method of Multipliers. Journal of Optimization Theory and Applications. 195(3). 1019–1055. 5 indexed citations
3.
Dao, Minh N. & Hung M. Phan. (2021). An adaptive splitting algorithm for the sum of two generalized monotone operators and one cocoercive operator. SHILAP Revista de lepidopterología. 2021(1). 4 indexed citations
4.
Phan, Hung M., et al.. (2019). Conditional extragradient algorithms for variational inequalities. Own your potential (DEAKIN). 15(3). 331–357. 1 indexed citations
5.
Bauschke, Heinz H., et al.. (2019). Multi-marginal maximal monotonicity and convex analysis. Mathematical Programming. 185(1-2). 385–408. 1 indexed citations
6.
Dao, Minh N. & Hung M. Phan. (2019). Adaptive Douglas--Rachford Splitting Algorithm for the Sum of Two Operators. SIAM Journal on Optimization. 29(4). 2697–2724. 20 indexed citations
7.
Dao, Minh N. & Hung M. Phan. (2018). Linear convergence of the generalized Douglas–Rachford algorithm for feasibility problems. Journal of Global Optimization. 72(3). 443–474. 12 indexed citations
8.
Phan, Hung M.. (2015). Linear convergence of the Douglas–Rachford method for two closed sets. Optimization. 65(2). 369–385. 43 indexed citations
9.
Bauschke, Heinz H., et al.. (2015). Stadium Norm and Douglas-Rachford Splitting: A New Approach to Road Design Optimization. Operations Research. 64(1). 201–218. 4 indexed citations
10.
Bauschke, Heinz H., Minh N. Dao, Dominikus Noll, & Hung M. Phan. (2015). On Slater’s condition and finite convergence of the Douglas–Rachford algorithm for solving convex feasibility problems in Euclidean spaces. Journal of Global Optimization. 65(2). 329–349. 7 indexed citations
11.
Bauschke, Heinz H., Dominikus Noll, & Hung M. Phan. (2014). Linear and strong convergence of algorithms involving averaged\n nonexpansive operators. arXiv (Cornell University). 40 indexed citations
12.
Bauschke, Heinz H., Yunier Bello-Cruz, T. T. A. Nghia, Hung M. Phan, & Xianfu Wang. (2014). The rate of linear convergence of the Douglas–Rachford algorithm for subspaces is the cosine of the Friedrichs angle. Journal of Approximation Theory. 185. 63–79. 43 indexed citations
13.
Bauschke, Heinz H., Hung M. Phan, & Xianfu Wang. (2013). The Method of Alternating Relaxed Projections for Two Nonconvex Sets. Vietnam Journal of Mathematics. 42(4). 421–450. 10 indexed citations
14.
Bauschke, Heinz H., D. Lüke, Hung M. Phan, & Xianfu Wang. (2013). Restricted Normal Cones and the Method of Alternating Projections: Theory. Set-Valued and Variational Analysis. 21(3). 431–473. 31 indexed citations
15.
Bauschke, Heinz H., D. Lüke, Hung M. Phan, & Xianfu Wang. (2013). Restricted Normal Cones and Sparsity Optimization with Affine Constraints. Foundations of Computational Mathematics. 14(1). 63–83. 26 indexed citations
16.
Bauschke, Heinz H., D. Lüke, Hung M. Phan, & Xianfu Wang. (2013). Restricted Normal Cones and the Method of Alternating Projections: Applications. Set-Valued and Variational Analysis. 21(3). 475–501. 19 indexed citations
17.
Mordukhovich, Boris S. & Hung M. Phan. (2012). Tangential extremal principles for finite and infinite systems of sets II: applications to semi-infinite and multiobjective optimization. Mathematical Programming. 136(1). 31–63. 10 indexed citations
18.
Mordukhovich, Boris S. & Hung M. Phan. (2012). Tangential extremal principles for finite and infinite systems of sets, I: basic theory. Mathematical Programming. 136(1). 3–30. 3 indexed citations
19.
Hoheisel, Tim, Christian Kanzow, Boris S. Mordukhovich, & Hung M. Phan. (2011). Generalized Newton’s method based on graphical derivatives. Nonlinear Analysis. 75(3). 1324–1340. 14 indexed citations
20.
Mordukhovich, Boris S., Nguyen Mau Nam, & Hung M. Phan. (2011). Variational Analysis of Marginal Functions with Applications to Bilevel Programming. Journal of Optimization Theory and Applications. 152(3). 557–586. 23 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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