Van‐Nam Huynh
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- Multi-Criteria Decision Making 43
- Artificial Intelligence top 1%
- Topic Modeling 12
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- Rough Sets and Fuzzy Logic 20
- Statistics and Probability top 5%
- Fuzzy Systems and Optimization 13
- Information Systems top 2%
- Data Mining Algorithms and Applications 10
- Recommender Systems and Techniques 9
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- Data Management and Algorithms 14
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- Color perception and design 10
- Co-authors
- Yoshiteru NakamoriSongsak SriboonchittaHong-Bin YanNguyễn Cát HồDuy-Tai DinhTieju MaJessada KarnjanaJonathan Lawry
- Cited by
- Management Science and Operations ResearchArtificial IntelligenceComputational Theory and Mathematics
In The Last Decade
Van‐Nam Huynh
156 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 139
- Management Science and Operations Research 664
- Artificial Intelligence 846
- Computational Theory and Mathematics 404
- Statistics and Probability 130
- Information Systems 351
Countries citing papers authored by Van‐Nam Huynh
This map shows the geographic impact of Van‐Nam Huynh'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 Van‐Nam Huynh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Van‐Nam Huynh more than expected).
Fields of papers citing papers by Van‐Nam Huynh
This network shows the impact of papers produced by Van‐Nam Huynh. 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 Van‐Nam Huynh. The network helps show where Van‐Nam Huynh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Van‐Nam Huynh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 7 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 6 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 0 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 2 | |
| 12 | 2021 | 23 | |
| 13 | 2019 | 0 | |
| 14 | 2018 | 4 | |
| 15 | Integrated Uncertainty in Knowledge Modelling and Decision Making 5th International Symposium, IUKM 2016, Da Nang, Vietnam, November 30- December 2, 2016, Proceedings | 2016 | 1 |
| 16 | 2016 | 17 | |
| 17 | 2013 | 28 | |
| 18 | 2008 | 2 | |
| 19 | 2006 | 1 | |
| 20 | An alternative extension of the k-means algorithm for clustering categorical data | 2004 | 118 |
About Van‐Nam Huynh
Van‐Nam Huynh is a scholar working on Management Science and Operations Research, Artificial Intelligence and Signal Processing, having authored 171 papers that have together received 2.2k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (43 papers), Rough Sets and Fuzzy Logic (20 papers), Data Management and Algorithms (14 papers), Fuzzy Systems and Optimization (13 papers), Topic Modeling (12 papers), Data Mining Algorithms and Applications (10 papers), Color perception and design (10 papers) and Recommender Systems and Techniques (9 papers). The work is most often cited by research in Management Science and Operations Research (664 citations), Artificial Intelligence (846 citations) and Computational Theory and Mathematics (404 citations). Van‐Nam Huynh has collaborated with scholars based in Japan, Thailand and Vietnam. Frequent co-authors include Yoshiteru Nakamori, Songsak Sriboonchitta, Hong-Bin Yan, Nguyễn Cát Hồ, Duy-Tai Dinh, Tieju Ma, Jessada Karnjana, Jonathan Lawry, Tetsuya Murai and Thepchai Supnithi. Their work appears in journals such as Journal of Applied Physics, Journal of Cleaner Production and Expert Systems with Applications.
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.