Hung T. Nguyen

1.8k total citations · 1 hit paper
39 papers, 979 citations indexed

About

Hung T. Nguyen is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Hung T. Nguyen has authored 39 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 17 papers in Statistical and Nonlinear Physics and 9 papers in Computer Networks and Communications. Recurrent topics in Hung T. Nguyen's work include Complex Network Analysis Techniques (13 papers), Bayesian Modeling and Causal Inference (9 papers) and Multi-Criteria Decision Making (7 papers). Hung T. Nguyen is often cited by papers focused on Complex Network Analysis Techniques (13 papers), Bayesian Modeling and Causal Inference (9 papers) and Multi-Criteria Decision Making (7 papers). Hung T. Nguyen collaborates with scholars based in United States, Taiwan and Australia. Hung T. Nguyen's co-authors include Thang N. Dinh, My T. Thai, J. Douglas Barrett, Elbert A. Walker, I. R. Goodman, Tam Vu, Владик Крейнович, Olga Kosheleva, Aneta Neumann and Mingyu Guo and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Access and Information Sciences.

In The Last Decade

Hung T. Nguyen

36 papers receiving 933 citations

Hit Papers

Stop-and-Stare 2016 2026 2019 2022 2016 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hung T. Nguyen United States 13 433 400 287 199 138 39 979
Nina Mishra United States 18 839 1.9× 118 0.3× 74 0.3× 134 0.7× 233 1.7× 37 1.2k
Paweł Prałat Canada 16 159 0.4× 357 0.9× 91 0.3× 475 2.4× 203 1.5× 138 979
Kuiyu Chang Singapore 19 795 1.8× 198 0.5× 55 0.2× 65 0.3× 133 1.0× 45 1.1k
Sunil Mathew India 17 241 0.6× 171 0.4× 601 2.1× 489 2.5× 187 1.4× 103 1.1k
Parag Singla India 16 893 2.1× 176 0.4× 241 0.8× 56 0.3× 183 1.3× 53 1.2k
Zvi Lotker Israel 23 186 0.4× 143 0.4× 85 0.3× 369 1.9× 936 6.8× 97 1.3k
Luciano Barbosa United States 18 941 2.2× 110 0.3× 124 0.4× 137 0.7× 359 2.6× 63 1.6k
Jared Saia United States 16 423 1.0× 158 0.4× 53 0.2× 102 0.5× 634 4.6× 65 1.1k
Grant Schoenebeck United States 13 517 1.2× 136 0.3× 143 0.5× 166 0.8× 206 1.5× 43 918
Winfried K. Grassmann Canada 21 92 0.2× 51 0.1× 485 1.7× 313 1.6× 467 3.4× 73 1.6k

Countries citing papers authored by Hung T. Nguyen

Since Specialization
Citations

This map shows the geographic impact of Hung T. 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 Hung T. Nguyen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung T. Nguyen more than expected).

Fields of papers citing papers by Hung T. Nguyen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hung T. Nguyen

This figure shows the co-authorship network connecting the top 25 collaborators of Hung T. Nguyen. A scholar is included among the top collaborators of Hung T. 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 Hung T. Nguyen. Hung T. Nguyen 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.
Guo, Mingyu, Max Ward, Aneta Neumann, Frank Neumann, & Hung T. Nguyen. (2023). Scalable Edge Blocking Algorithms for Defending Active Directory Style Attack Graphs. Proceedings of the AAAI Conference on Artificial Intelligence. 37(5). 5649–5656. 9 indexed citations
2.
Guo, Mingyu, et al.. (2022). Practical Fixed-Parameter Algorithms for Defending Active Directory Style Attack Graphs. Proceedings of the AAAI Conference on Artificial Intelligence. 36(9). 9360–9367. 12 indexed citations
3.
Nguyen, Hung T., Pierre Jinghong Liang, & Leman Akoglu. (2022). Detecting Anomalous Graphs in Labeled Multi-Graph Databases. ACM Transactions on Knowledge Discovery from Data. 17(2). 1–25. 1 indexed citations
4.
Nguyen, Hung T., et al.. (2021). GAWD. 143–150. 6 indexed citations
5.
Nguyen, Hung T., Alberto Cano, Tam Vu, & Thang N. Dinh. (2019). Blocking Self-Avoiding Walks Stops Cyber-Epidemics: A Scalable GPU-Based Approach. IEEE Transactions on Knowledge and Data Engineering. 32(7). 1263–1275. 14 indexed citations
6.
Nguyen, Hung T., et al.. (2017). Outward Influence and Cascade Size Estimation in Billion-scale Networks. 63–63. 14 indexed citations
7.
Nguyen, Hung T., et al.. (2016). Cost-aware Targeted Viral Marketing in billion-scale networks. 1–9. 77 indexed citations
8.
Nguyen, Hung T., My T. Thai, & Thang N. Dinh. (2016). Stop-and-Stare. 695–710. 234 indexed citations breakdown →
9.
Nguyen, Hung T. & Thang N. Dinh. (2016). Targeted cyber-attacks: Unveiling target reconnaissance strategy via Social Networks. 288–293. 3 indexed citations
10.
Nguyen, Hung T., Thang N. Dinh, & Tam Vu. (2015). Community detection in multiplex social networks. 654–659. 8 indexed citations
11.
Крейнович, Владик, Hung T. Nguyen, & Songsak Sriboonchitta. (2015). Need for Data Processing Naturally Leads to Fuzzy Logic (and Neural Networks): Fuzzy Beyond Experts and Beyond Probabilities. International Journal of Intelligent Systems. 31(3). 276–293. 1 indexed citations
12.
Nguyen, Hung T., Владик Крейнович, & Berlin Wu. (2014). Using second-order probabilities to make maximum entropy approach to copulas more reasonable. Thai Journal of Mathematics. 1–10.
13.
Goodman, I. R., et al.. (2002). New applications of relational event algebra to fuzzy quantification and probabilistic reasoning. Information Sciences. 148(1-4). 87–96. 3 indexed citations
14.
Kreinovich, Vladik, Hung T. Nguyen, & Songsak Sriboonchitta. (2001). A New Justification of Wang Transform Operator in Financial Risk Analysis. PubMed. 2(1). 45–1008. 1 indexed citations
15.
Nguyen, Hung T., Olga Kosheleva, & Владик Крейнович. (2000). Invariance-Based Justification of the Maximum Entropy Method and of Generalized Maximum Entropy Methods in Data Processing. scholarworks - UTEP (The University of Texas at El Paso). 1 indexed citations
16.
Nguyen, Hung T., Berlin Wu, & Владик Крейнович. (1999). A New Look at Fuzzy Theory via Chu Spaces. scholarworks - UTEP (The University of Texas at El Paso). 1 indexed citations
17.
Goodman, I. R., Ronald Mahler, & Hung T. Nguyen. (1999). What is conditional event algebra and why should you care?. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3720. 2–2. 4 indexed citations
18.
Goodman, I. R. & Hung T. Nguyen. (1999). Probability updating using second order probabilities and conditional event algebra. Information Sciences. 121(3-4). 295–347. 25 indexed citations
19.
Goodman, I. R. & Hung T. Nguyen. (1994). A theory of conditional information for probabilistic inference in intelligent systems: II. Product space approach. Information Sciences. 76(1-2). 13–42. 12 indexed citations
20.
Nguyen, Hung T.. (1978). On random sets and belief functions. Journal of Mathematical Analysis and Applications. 65(3). 531–542. 166 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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