Duy Nhat Phan

495 total citations
17 papers, 122 citations indexed

About

Duy Nhat Phan is a scholar working on Computational Mechanics, Numerical Analysis and Artificial Intelligence. According to data from OpenAlex, Duy Nhat Phan has authored 17 papers receiving a total of 122 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Mechanics, 7 papers in Numerical Analysis and 7 papers in Artificial Intelligence. Recurrent topics in Duy Nhat Phan's work include Sparse and Compressive Sensing Techniques (13 papers), Advanced Optimization Algorithms Research (7 papers) and Stochastic Gradient Optimization Techniques (4 papers). Duy Nhat Phan is often cited by papers focused on Sparse and Compressive Sensing Techniques (13 papers), Advanced Optimization Algorithms Research (7 papers) and Stochastic Gradient Optimization Techniques (4 papers). Duy Nhat Phan collaborates with scholars based in France, United States and Vietnam. Duy Nhat Phan's co-authors include Hoai An Le Thi, Thuy Ngoc Nguyen, Hoai Minh Le, Nicolas Gillis, Cleotilde González, Tao Pham Dinh, Panagiotis Patrinos, Masoud Ahookhosh, Hung M. Phan and Alexander B. Morgan and has published in prestigious journals such as Neural Computation, Neurocomputing and Neural Networks.

In The Last Decade

Duy Nhat Phan

14 papers receiving 118 citations

Peers

Duy Nhat Phan

CNC

Dan Garber Israel

Farbod Roosta-Khorasani United States

Oliver Hinder United States

Quoc Tran-Dinh United States

Pavel Dvurechensky Russia

Yoel Drori Israel

Ashia Wilson United States

Damien Scieur France

Jason M. Klusowski United States

Dima Kuzmin United States

Dan Garber Israel

Duy Nhat Phan

75 ×1.1

86 ×1.9

37 ×1.3

19 ×1.0

CNC

8 ×0.4

Citations per year, relative to Duy Nhat Phan Duy Nhat Phan (= 1×) peers Dan Garber

Countries citing papers authored by Duy Nhat Phan

Since Specialization

Citations

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

Fields of papers citing papers by Duy Nhat Phan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Duy Nhat Phan

This figure shows the co-authorship network connecting the top 25 collaborators of Duy Nhat Phan. A scholar is included among the top collaborators of Duy Nhat 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 Duy Nhat Phan. Duy Nhat Phan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Phan, Duy Nhat, et al.. (2025). Federated learning with randomized alternating direction method of multipliers and application in training neural networks. Neural Networks. 189. 107501–107501.

Phan, Duy Nhat, et al.. (2025). A machine learning platform for polymer flammability prediction. Polymer Degradation and Stability. 240. 111411–111411.

Fadili, Jalal, T. T. A. Nghia, & Duy Nhat Phan. (2025). Solution Uniqueness of Convex Optimization Problems via the Radial Cone. Journal of Optimization Theory and Applications. 206(2).

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

Phan, Duy Nhat & Hoai An Le Thi. (2023). Difference-of-Convex Algorithm with Extrapolation for Nonconvex, Nonsmooth Optimization Problems. Mathematics of Operations Research. 49(3). 1973–1985. 1 indexed citations

Nguyen, Thuy Ngoc, Duy Nhat Phan, & Cleotilde González. (2023). Learning in Cooperative Multiagent Systems Using Cognitive and Machine Models. ACM Transactions on Autonomous and Adaptive Systems. 18(4). 1–22. 5 indexed citations

Phan, Duy Nhat, et al.. (2022). Inertial alternating direction method of multipliers for non-convex non-smooth optimization. Computational Optimization and Applications. 83(1). 247–285. 8 indexed citations

Nguyen, Thuy Ngoc, Duy Nhat Phan, & Cleotilde González. (2022). SpeedyIBL: A comprehensive, precise, and fast implementation of instance-based learning theory. Behavior Research Methods. 55(4). 1734–1757. 9 indexed citations

Phan, Duy Nhat, et al.. (2022). Block Bregman Majorization Minimization with Extrapolation. SIAM Journal on Mathematics of Data Science. 4(1). 1–25. 11 indexed citations

10.

Thi, Hoai An Le, Duy Nhat Phan, & Tao Pham Dinh. (2021). DCA based approaches for bi-level variable selection and application for estimate multiple sparse covariance matrices. Neurocomputing. 466. 162–177. 4 indexed citations

11.

Phan, Duy Nhat & Thuy Ngoc Nguyen. (2021). An accelerated IRNN-Iteratively Reweighted Nuclear Norm algorithm for nonconvex nonsmooth low-rank minimization problems. Journal of Computational and Applied Mathematics. 396. 113602–113602. 7 indexed citations

12.

Thi, Hoai An Le, et al.. (2020). Novel DCA based algorithms for a special class of nonconvex problems with application in machine learning. Applied Mathematics and Computation. 409. 125904–125904. 7 indexed citations

13.

Thi, Hoai An Le, et al.. (2019). Stochastic DCA for minimizing a large sum of DC functions with\n application to Multi-class Logistic Regression. arXiv (Cornell University). 19 indexed citations

14.

Phan, Duy Nhat & Hoai An Le Thi. (2019). Group variable selection via ℓp,0 regularization and application to optimal scoring. Neural Networks. 118. 220–234. 15 indexed citations

15.

Phan, Duy Nhat, Hoai An Le Thi, & Tao Pham Dinh. (2017). Sparse Covariance Matrix Estimation by DCA-Based Algorithms. Neural Computation. 29(11). 3040–3077. 12 indexed citations

16.

Thi, Hoai An Le & Duy Nhat Phan. (2016). DC programming and DCA for sparse optimal scoring problem. Neurocomputing. 186. 170–181. 10 indexed citations

17.

Thi, Hoai An Le & Duy Nhat Phan. (2016). DC programming and DCA for sparse Fisher linear discriminant analysis. Neural Computing and Applications. 28(9). 2809–2822. 13 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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