Quoc Tran Dinh

1.2k total citations
21 papers, 576 citations indexed

About

Quoc Tran Dinh is a scholar working on Computational Mechanics, Numerical Analysis and Control and Systems Engineering. According to data from OpenAlex, Quoc Tran Dinh has authored 21 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Mechanics, 9 papers in Numerical Analysis and 8 papers in Control and Systems Engineering. Recurrent topics in Quoc Tran Dinh's work include Sparse and Compressive Sensing Techniques (10 papers), Advanced Optimization Algorithms Research (9 papers) and Optimization and Variational Analysis (5 papers). Quoc Tran Dinh is often cited by papers focused on Sparse and Compressive Sensing Techniques (10 papers), Advanced Optimization Algorithms Research (9 papers) and Optimization and Variational Analysis (5 papers). Quoc Tran Dinh collaborates with scholars based in Belgium, Switzerland and Vietnam. Quoc Tran Dinh's co-authors include Moritz Diehl, Lieven De Lathauwer, Johan A. K. Suykens, Marco Signoretto, Wim Michiels, Suat Gümüşsoy, Carlo Savorgnan, Volkan Cevher, Ion Necoara and Jan Swevers and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Signal Processing Magazine and Machine Learning.

In The Last Decade

Quoc Tran Dinh

21 papers receiving 554 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Quoc Tran Dinh Belgium 11 242 201 125 111 105 21 576
Hongjin He China 15 37 0.2× 227 1.1× 53 0.4× 208 1.9× 240 2.3× 59 589
Yunlong Feng China 13 94 0.4× 294 1.5× 149 1.2× 72 0.6× 14 0.1× 29 544
Huikang Liu China 14 177 0.7× 109 0.5× 106 0.8× 5 0.0× 47 0.4× 44 530
Yanjun Liu China 16 1.1k 4.7× 245 1.2× 38 0.3× 12 0.1× 96 0.9× 47 1.4k
Chenfu Yi China 16 508 2.1× 47 0.2× 117 0.9× 10 0.1× 24 0.2× 39 833
Binbin Qiu China 17 627 2.6× 75 0.4× 130 1.0× 7 0.1× 25 0.2× 83 877
Necdet Serhat Aybat United States 10 30 0.1× 180 0.9× 87 0.7× 8 0.1× 58 0.6× 23 390
Tuo Zhao United States 13 44 0.2× 143 0.7× 115 0.9× 9 0.1× 25 0.2× 51 479
C. Andrew Neff United States 11 80 0.3× 549 2.7× 126 1.0× 9 0.1× 23 0.2× 16 708

Countries citing papers authored by Quoc Tran Dinh

Since Specialization
Citations

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

Fields of papers citing papers by Quoc Tran Dinh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Quoc Tran Dinh. 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 Quoc Tran Dinh. The network helps show where Quoc Tran Dinh may publish in the future.

Co-authorship network of co-authors of Quoc Tran Dinh

This figure shows the co-authorship network connecting the top 25 collaborators of Quoc Tran Dinh. A scholar is included among the top collaborators of Quoc Tran Dinh 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 Quoc Tran Dinh. Quoc Tran Dinh 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.
Dinh, Quoc Tran, et al.. (2020). Hybrid Variance-Reduced SGD Algorithms For Minimax Problems with Nonconvex-Linear Function. Neural Information Processing Systems. 33. 11096–11107. 3 indexed citations
2.
Dinh, Quoc Tran. (2018). Non-Ergodic Alternating Proximal Augmented Lagrangian Algorithms with Optimal Rates. Neural Information Processing Systems. 31. 4811–4819. 2 indexed citations
3.
Srivastava, Sanvesh, Volkan Cevher, Quoc Tran Dinh, & David B. Dunson. (2015). WASP: Scalable Bayes via barycenters of subset posteriors. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 912–920. 26 indexed citations
4.
McCoy, Michael B., Volkan Cevher, Quoc Tran Dinh, Afsaneh Asaei, & Luca Baldassarre. (2014). Convexity in Source Separation : Models, geometry, and algorithms. IEEE Signal Processing Magazine. 31(3). 87–95. 32 indexed citations
5.
Kyrillidis, Anastasios, Rabeeh Karimi Mahabadi, Quoc Tran Dinh, & Volkan Cevher. (2014). Scalable Sparse Covariance Estimation via Self-Concordance. Proceedings of the AAAI Conference on Artificial Intelligence. 28(1). 1946–1952. 2 indexed citations
6.
Dinh, Quoc Tran, Ion Necoara, & Moritz Diehl. (2013). Path-following gradient-based decomposition algorithms for separable convex optimization. Journal of Global Optimization. 59(1). 59–80. 6 indexed citations
7.
Debrouwere, Frederik, Wannes Van Loock, Goele Pipeleers, et al.. (2013). Time-optimal path following for robots with trajectory jerk constraints using sequential convex programming. Lirias (KU Leuven). 1916–1921. 14 indexed citations
8.
Dinh, Quoc Tran, Ion Necoara, & Moritz Diehl. (2013). A dual decomposition algorithm for separable nonconvex optimization using the penalty function framework. 2372–2377. 14 indexed citations
9.
Debrouwere, Frederik, Wannes Van Loock, Goele Pipeleers, et al.. (2013). Optimal robot path following for minimal time versus energy loss trade-off using sequential convex programming. Lirias (KU Leuven). 8. 316–320. 1 indexed citations
10.
Dinh, Quoc Tran, Ion Necoara, Carlo Savorgnan, & Moritz Diehl. (2013). An Inexact Perturbed Path-Following Method for Lagrangian Decomposition in Large-Scale Separable Convex Optimization. SIAM Journal on Optimization. 23(1). 95–125. 31 indexed citations
11.
Loock, Wannes Van, Goele Pipeleers, Quoc Tran Dinh, et al.. (2013). Time-Optimal Path Following for Robots With Convex–Concave Constraints Using Sequential Convex Programming. IEEE Transactions on Robotics. 29(6). 1485–1495. 72 indexed citations
12.
Dinh, Quoc Tran, Anastasios Kyrillidis, & Volkan Cevher. (2013). A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions. arXiv (Cornell University). 271–279. 6 indexed citations
13.
Dinh, Quoc Tran, Wim Michiels, Sébastien Gros, & Moritz Diehl. (2012). An inner convex approximation algorithm for BMI optimization and applications in control. 3576–3581. 18 indexed citations
14.
Dinh, Quoc Tran, Carlo Savorgnan, & Moritz Diehl. (2012). Combining Lagrangian decomposition and excessive gap smoothing technique for solving large-scale separable convex optimization problems. Computational Optimization and Applications. 55(1). 75–111. 19 indexed citations
15.
Dinh, Quoc Tran, Carlo Savorgnan, & Moritz Diehl. (2012). Adjoint-Based Predictor-Corrector Sequential Convex Programming for Parametric Nonlinear Optimization. SIAM Journal on Optimization. 22(4). 1258–1284. 38 indexed citations
16.
Loock, Wannes Van, Goele Pipeleers, Quoc Tran Dinh, et al.. (2012). Time-optimal robot path following with Cartesian acceleration constraints: a convex optimization approach. Lirias (KU Leuven). 2(3). 469–475. 4 indexed citations
17.
Dinh, Quoc Tran & Lê Dũng Mưu. (2011). A splitting proximal point method for Nash-Cournot equilibrium models involving nonconvex cost functions. 12(3). 519–533. 1 indexed citations
18.
Dinh, Quoc Tran, Carlo Savorgnan, & Moritz Diehl. (2011). Real-time sequential convex programming for nonlinear model predictive control and application to a hydro-power plant. 5905–5910. 6 indexed citations
19.
Dinh, Quoc Tran, Suat Gümüşsoy, Wim Michiels, & Moritz Diehl. (2011). Combining Convex–Concave Decompositions and Linearization Approaches for Solving BMIs, With Application to Static Output Feedback. IEEE Transactions on Automatic Control. 57(6). 1377–1390. 136 indexed citations
20.
Dinh, Quoc Tran & Moritz Diehl. (2010). Local convergence of sequential convex programming for nonlinear programming. 3 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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