Phu Pham
Impact in
- Information Systems top 5%
- Recommender Systems and Techniques
- Spam and Phishing Detection
- Artificial Intelligence top 10%
- Advanced Graph Neural Networks
- Topic Modeling
- Text and Document Classification Technologies
Papers in
-
- Advanced Graph Neural Networks 20
- Topic Modeling 5
-
- Recommender Systems and Techniques 12
- Co-authors
- Bay Vo (10 shared papers)Loan T. T. Nguyen (9 shared papers)Phuc Do (17 shared papers)Unil Yun (4 shared papers)Witold Pedrycz (4 shared papers)Ngoc Thanh Nguyên (5 shared papers)Róbert Kozma (1 shared paper)Nguyễn Long Giang (3 shared papers)
- Journals
- Expert Systems with Applications (4 papers)IEEE Transactions on Systems Man and Cybernetics Systems (2 papers)International Journal of Machine Learning and Cybernetics (2 papers)Neural Computing and Applications (2 papers)Information Sciences (2 papers)
- Partner nations
- VietnamPolandSouth Korea
In The Last Decade
Phu Pham
33 papers receiving 338 citations
Peers
Comparison fields: 5 of 44
- Information Systems 127
- Artificial Intelligence 159
- Statistical and Nonlinear Physics 25
- Computational Mathematics 1
- Computational Theory and Mathematics 20
Countries citing papers authored by Phu Pham
This map shows the geographic impact of Phu Pham'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 Phu Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phu Pham more than expected).
Fields of papers citing papers by Phu Pham
This network shows the impact of papers produced by Phu Pham. 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 Phu Pham. The network helps show where Phu Pham may publish in the future.
Co-authors
The 15 scholars most cited alongside Phu Pham, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 58 | |
| 2 | 2021 | 52 | |
| 3 | 2022 | 44 | |
| 4 | 2021 | 32 | |
| 5 | 2019 | 23 | |
| 6 | 2023 | 20 | |
| 7 | 2023 | 10 | |
| 8 | 2018 | 9 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 9 | |
| 11 | 2023 | 9 | |
| 12 | 2020 | 8 | |
| 13 | 2023 | 8 | |
| 14 | 2018 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2025 | 5 | |
| 17 | 2025 | 5 | |
| 18 | 2021 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2022 | 4 |
About Phu Pham
Phu Pham is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Health Information Management, having authored 41 papers that have together received 351 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (20 papers), Recommender Systems and Techniques (12 papers), Topic Modeling (5 papers), Graph Theory and Algorithms (4 papers), Topological and Geometric Data Analysis (2 papers), Artificial Intelligence in Healthcare (2 papers), Complex Network Analysis Techniques (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Information Systems (127 citations), Artificial Intelligence (159 citations), Statistical and Nonlinear Physics (25 citations), Computational Mathematics (1 citation) and Computational Theory and Mathematics (20 citations). Phu Pham has collaborated with scholars based in Vietnam, Poland and South Korea. Frequent co-authors include Bay Vo, Loan T. T. Nguyen, Phuc Do, Unil Yun, Witold Pedrycz, Ngoc Thanh Nguyên, Róbert Kozma, Nguyễn Long Giang, Bay Vo and Jerry Chun‐Wei Lin. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Systems Man and Cybernetics Systems, International Journal of Machine Learning and Cybernetics, Neural Computing and Applications and Information Sciences.
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.