Vu Minh Hieu Phan
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- Online Learning and Analytics 2
- Artificial Intelligence top 5%
- Topic Modeling 5
- Machine Learning in Healthcare 3
- Domain Adaptation and Few-Shot Learning 3
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- Multimodal Machine Learning Applications 3
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- COVID-19 diagnosis using AI 3
- Radiomics and Machine Learning in Medical Imaging 2
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- Smart Grid Energy Management 2
- Co-authors
- Philip OgunbonaArno De CaignyKristof CoussementDries F. BenoitAnnelies RaesSon Lam PhungAbdesselam BouzerdoumLiyang Liu
- Journals
- Decision Support Systems (2 papers)Interactive Learning Environments (1 paper)Neurocomputing (1 paper)
- Partner nations
- AustraliaVietnamUnited States
In The Last Decade
Vu Minh Hieu Phan
19 papers receiving 378 citations
Peers
Comparison fields: 5 of 62
- Computer Science Applications 73
- Artificial Intelligence 243
- Health Informatics 6
- Computer Vision and Pattern Recognition 77
- Health Information Management 14
Countries citing papers authored by Vu Minh Hieu Phan
This map shows the geographic impact of Vu Minh Hieu Phan'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 Vu Minh Hieu Phan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vu Minh Hieu Phan more than expected).
Fields of papers citing papers by Vu Minh Hieu Phan
This network shows the impact of papers produced by Vu Minh Hieu Phan. 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 Vu Minh Hieu Phan. The network helps show where Vu Minh Hieu Phan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vu Minh Hieu Phan, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 8 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 24 | |
| 10 | 2023 | 23 | |
| 11 | 2022 | 35 | |
| 12 | 2022 | 11 | |
| 13 | Pretrain Knowledge-Aware Language Models | 2021 | 3 |
| 14 | 2021 | 35 | |
| 15 | 2021 | 2 | |
| 16 | 2021 | 5 | |
| 17 | 2020 | 131 | |
| 18 | 2020 | 2 | |
| 19 | 2020 | 2 | |
| 20 | 2020 | 86 |
About Vu Minh Hieu Phan
Vu Minh Hieu Phan is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 23 papers that have together received 393 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Machine Learning in Healthcare (3 papers), Multimodal Machine Learning Applications (3 papers), COVID-19 diagnosis using AI (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Online Learning and Analytics (2 papers) and Smart Grid Energy Management (2 papers). The work is most often cited by research in Computer Science Applications (73 citations), Artificial Intelligence (243 citations) and Health Informatics (6 citations). Vu Minh Hieu Phan has collaborated with scholars based in Australia, Vietnam and United States. Frequent co-authors include Philip Ogunbona, Arno De Caigny, Kristof Coussement, Dries F. Benoit, Annelies Raes, Son Lam Phung, Abdesselam Bouzerdoum, Liyang Liu, Bowen Zhang and Wouter Verbeke. Their work appears in journals such as Decision Support Systems, Interactive Learning Environments, Neurocomputing, International Journal of Computer Vision and Industrial Marketing Management.
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.