Lam M. Nguyen

1.7k total citations · 1 hit paper
31 papers, 533 citations indexed

About

Lam M. Nguyen is a scholar working on Artificial Intelligence, Computational Mechanics and Control and Systems Engineering. According to data from OpenAlex, Lam M. Nguyen has authored 31 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 6 papers in Computational Mechanics and 5 papers in Control and Systems Engineering. Recurrent topics in Lam M. Nguyen's work include Stochastic Gradient Optimization Techniques (7 papers), Sparse and Compressive Sensing Techniques (6 papers) and Adversarial Robustness in Machine Learning (5 papers). Lam M. Nguyen is often cited by papers focused on Stochastic Gradient Optimization Techniques (7 papers), Sparse and Compressive Sensing Techniques (6 papers) and Adversarial Robustness in Machine Learning (5 papers). Lam M. Nguyen collaborates with scholars based in United States, Vietnam and Germany. Lam M. Nguyen's co-authors include Johannes Buhl, Markus Bambach�, Clint Saidy, Christopher Sacco, Max Kirkpatrick, Ramy Harik, Eoghan Casey, Dzung T. Phan, Alexander Stolyar and Marten van Dijk and has published in prestigious journals such as IEEE Access, Journal of Machine Learning Research and Mathematical Programming.

In The Last Decade

Lam M. Nguyen

29 papers receiving 501 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A digital twin to train deep reinforcement learning agent for smart manufacturing plants: Environment, interfaces and intelligence

2020 237 citations Lam M. Nguyen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lam M. Nguyen United States	10	217	134	121	107	68	31	533
Nektarios Georgios Tsoutsos United States	12	98 0.5×	72 0.5×	142 1.2×	205 1.9×	114 1.7×	46	538
Jiacun Wang United States	14	260 1.2×	64 0.5×	71 0.6×	93 0.9×	31 0.5×	53	570
Efe C. Balta Switzerland	13	459 2.1×	159 1.2×	144 1.2×	42 0.4×	53 0.8×	55	714
Ziyan Zhao China	13	621 2.9×	103 0.8×	56 0.5×	115 1.1×	40 0.6×	45	875
Alberto Villalonga Spain	15	367 1.7×	127 0.9×	41 0.3×	62 0.6×	44 0.6×	27	667
Vincent Boyer France	15	257 1.2×	104 0.8×	65 0.5×	60 0.6×	12 0.2×	36	526
Jihong Liu China	13	203 0.9×	82 0.6×	45 0.4×	66 0.6×	49 0.7×	78	493
Tad Gonsalves Japan	10	223 1.0×	134 1.0×	106 0.9×	59 0.6×	30 0.4×	49	486
Andrzej Paszkiewicz Poland	11	121 0.6×	83 0.6×	119 1.0×	54 0.5×	44 0.6×	70	420
Mark Yampolskiy United States	15	189 0.9×	111 0.8×	269 2.2×	120 1.1×	158 2.3×	44	736

Countries citing papers authored by Lam M. Nguyen

Since Specialization

Citations

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

Fields of papers citing papers by Lam M. Nguyen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lam M. Nguyen

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

All Works

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20 of 20 papers shown

Baima, Gabriele, et al.. (2025). Correction: Convergence and divergence in digital game-based advertising: a systematic review of advergames and in-game advertising. Review of Managerial Science. 20(2). 535–536.

Zhang, Wang, Subhro Das, Lam M. Nguyen, & Luca Daniel. (2025). Dilated Convolution for Time Series Learning. 1–5. 1 indexed citations

Nguyen, Lam M., et al.. (2024). Shuffling Momentum Gradient Algorithm for Convex Optimization. Vietnam Journal of Mathematics. 53(4). 773–801.

Wang, Zhang, Subhro Das, Tsui-Wei Weng, et al.. (2024). One Step Closer to Unbiased Aleatoric Uncertainty Estimation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(15). 16857–16864. 5 indexed citations

Nguyen, Duy, et al.. (2024). Improving Time Series Encoding with Noise-Aware Self-Supervised Learning and an Efficient Encoder. 340–349. 1 indexed citations

Liu, Linbo, et al.. (2023). Promoting Robustness of Randomized Smoothing: Two Cost-Effective Approaches. 33. 1145–1150. 1 indexed citations

Nguyen, Lam M., et al.. (2023). Attacking c-MARL More Effectively: A Data Driven Approach. abs/1902.04043. 1271–1276. 1 indexed citations

Kalagnanam, Jayant, Dzung T. Phan, Pavankumar Murali, et al.. (2022). AI-Based Real-Time Site-Wide Optimization for Process Manufacturing. RePEc: Research Papers in Economics. 52(4). 363–378. 3 indexed citations

Nguyen, Lam M., et al.. (2022). Finite-sum smooth optimization with SARAH. Computational Optimization and Applications. 82(3). 561–593. 9 indexed citations

10.

Mahmood, Kaleel, et al.. (2021). Besting the Black-Box: Barrier Zones for Adversarial Example Defense. IEEE Access. 10. 1451–1474. 3 indexed citations

11.

Phan, Dzung T., et al.. (2021). A hybrid stochastic optimization framework for composite nonconvex optimization. Mathematical Programming. 191(2). 1005–1071. 18 indexed citations

12.

Chen, Yilan, Wei Huang, Lam M. Nguyen, & Tsui-Wei Weng. (2021). On the Equivalence between Neural Network and Support Vector Machine. arXiv (Cornell University). 34. 2 indexed citations

13.

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

14.

Nguyen, Lam M., et al.. (2020). A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 374–385. 1 indexed citations

15.

Nguyen, Lam M., Johannes Buhl, & Markus Bambach�. (2020). Multi-bead Overlapping Models for Tool Path Generation in Wire-Arc Additive Manufacturing Processes. Procedia Manufacturing. 47. 1123–1128. 20 indexed citations

16.

Chen, Pin‐Yu, et al.. (2019). PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach. International Conference on Machine Learning. 6727–6736. 12 indexed citations

17.

Nguyen, Lam M., Phuong Ha Nguyen, Marten van Dijk, et al.. (2018). SGD and Hogwild! Convergence Without the Bounded Gradients Assumption. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 3750–3758. 14 indexed citations

18.

Nguyen, Lam M., et al.. (2018). Optimality conditions for nonsmooth multiobjective optimization problems with general inequality constraints. Journal of Nonlinear Functional Analysis. 2018. 1–15. 1 indexed citations

19.

Nguyen, Lam M. & Alexander Stolyar. (2017). A queueing system with on-demand servers: local stability of fluid limits. Queueing Systems. 89(3-4). 243–268. 6 indexed citations

20.

Casey, Eoghan, et al.. (2009). Investigation Delayed Is Justice Denied: Proposals for Expediting Forensic Examinations of Digital Evidence*. Journal of Forensic Sciences. 54(6). 1353–1364. 44 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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