Phan-Minh Nguyen

726 total citations
7 papers, 248 citations indexed

About

Phan-Minh Nguyen is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Statistics and Probability. According to data from OpenAlex, Phan-Minh Nguyen has authored 7 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Statistical and Nonlinear Physics and 2 papers in Statistics and Probability. Recurrent topics in Phan-Minh Nguyen's work include Stochastic Gradient Optimization Techniques (4 papers), Model Reduction and Neural Networks (3 papers) and Markov Chains and Monte Carlo Methods (2 papers). Phan-Minh Nguyen is often cited by papers focused on Stochastic Gradient Optimization Techniques (4 papers), Model Reduction and Neural Networks (3 papers) and Markov Chains and Monte Carlo Methods (2 papers). Phan-Minh Nguyen collaborates with scholars based in United States and Singapore. Phan-Minh Nguyen's co-authors include Andrea Montanari, Mei Song, Ping Li and Tong Wu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Communications Letters and arXiv (Cornell University).

In The Last Decade

Phan-Minh Nguyen

7 papers receiving 239 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Phan-Minh Nguyen United States	4	159	78	43	39	36	7	248
Kaizheng Wang United States	4	60 0.4×	35 0.4×	83 1.9×	30 0.8×	98 2.7×	7	255
Colin Sandon United States	7	97 0.6×	112 1.4×	59 1.4×	11 0.3×	22 0.6×	11	211
Léo Miolane France	6	78 0.5×	32 0.4×	118 2.7×	14 0.4×	73 2.0×	7	241
Joe Neeman United States	6	61 0.4×	56 0.7×	43 1.0×	14 0.4×	15 0.4×	21	152
Abbas Mehrabian Canada	9	124 0.8×	48 0.6×	18 0.4×	35 0.9×	21 0.6×	27	258
Vitaly Maiorov Israel	7	135 0.8×	35 0.4×	16 0.4×	44 1.1×	49 1.4×	9	232
Marianna Bolla Hungary	9	51 0.3×	72 0.9×	42 1.0×	23 0.6×	10 0.3×	30	213
Varun Jog United States	9	54 0.3×	45 0.6×	21 0.5×	11 0.3×	17 0.5×	32	208
Kazuho Watanabe Japan	9	155 1.0×	16 0.2×	42 1.0×	61 1.6×	23 0.6×	53	251
Jop Briët Netherlands	8	151 0.9×	49 0.6×	15 0.3×	11 0.3×	11 0.3×	28	248

Countries citing papers authored by Phan-Minh Nguyen

Since Specialization

Citations

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

Fields of papers citing papers by Phan-Minh Nguyen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phan-Minh 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 Phan-Minh Nguyen. The network helps show where Phan-Minh Nguyen may publish in the future.

Co-authorship network of co-authors of Phan-Minh Nguyen

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Nguyen, Phan-Minh, et al.. (2023). A rigorous framework for the mean field limit of multilayer neural networks. 6(3). 201–357. 11 indexed citations

2.

Nguyen, Phan-Minh, et al.. (2021). Limiting fluctuation and trajectorial stability of multilayer neural networks with mean field training. arXiv (Cornell University). 34. 1 indexed citations

3.

Nguyen, Phan-Minh, et al.. (2021). Global Convergence of Three-layer Neural Networks in the Mean Field Regime. arXiv (Cornell University). 2 indexed citations

4.

Li, Ping & Phan-Minh Nguyen. (2018). On Random Deep Weight-Tied Autoencoders: Exact Asymptotic Analysis, Phase Transitions, and Implications to Training.. International Conference on Learning Representations. 7 indexed citations

5.

Song, Mei, Andrea Montanari, & Phan-Minh Nguyen. (2018). A mean field view of the landscape of two-layer neural networks. Proceedings of the National Academy of Sciences. 115(33). E7665–E7671. 214 indexed citations

6.

Montanari, Andrea & Phan-Minh Nguyen. (2017). Universality of the elastic net error. 2338–2342. 11 indexed citations

7.

Nguyen, Phan-Minh, et al.. (2013). On the Watermark String in the Davey-MacKay Construction. IEEE Communications Letters. 17(9). 1830–1833. 2 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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