Hung N. Pham
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
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- AI in cancer detection 3
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- Cardiac Imaging and Diagnostics 3
- Co-authors
- Quang H. Nguyen (6 shared papers)Binh P. Nguyen (6 shared papers)T. T. Trang (4 shared papers)Cao Truong Tran (1 shared paper)Hợp Trần (1 shared paper)Nhung Nghiem (1 shared paper)Colin R Simpson (1 shared paper)Quang‐Cuong Pham (1 shared paper)
- Journals
- JACC: Cardiovascular Interventions (2 papers)Journal of the American College of Cardiology (2 papers)Circulation (1 paper)European Cardiology Review (1 paper)Computer Methods and Programs in Biomedicine (1 paper)
- Partner nations
- VietnamUnited StatesSingapore
In The Last Decade
Hung N. Pham
19 papers receiving 366 citations
Peers
Comparison fields: 5 of 74
- Health Informatics 54
- Health Information Management 78
- Radiology, Nuclear Medicine and Imaging 88
- Artificial Intelligence 127
- Computer Vision and Pattern Recognition 54
Countries citing papers authored by Hung N. Pham
This map shows the geographic impact of Hung N. 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 Hung N. Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung N. Pham more than expected).
Fields of papers citing papers by Hung N. Pham
This network shows the impact of papers produced by Hung N. 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 Hung N. Pham. The network helps show where Hung N. Pham may publish in the future.
Co-authors
The 25 scholars most cited alongside Hung N. 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 133 | |
| 2 | 2019 | 99 | |
| 3 | 2019 | 35 | |
| 4 | 2019 | 26 | |
| 5 | 2019 | 25 | |
| 6 | 2019 | 18 | |
| 7 | 2019 | 14 | |
| 8 | 2019 | 7 | |
| 9 | 2023 | 6 | |
| 10 | IQ-Net: A DNN Model for Estimating Interaction-level Dialogue Quality with Conversational Agents. | 2020 | 3 |
| 11 | 2022 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2021 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2026 | 0 |
About Hung N. Pham
Hung N. Pham is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Cardiology and Cardiovascular Medicine and Health Information Management, having authored 21 papers that have together received 378 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (3 papers), AI in cancer detection (3 papers), Gene expression and cancer classification (2 papers), Artificial Intelligence in Healthcare (2 papers), Music and Audio Processing (2 papers), Vitamin K Research Studies (1 paper), Cutaneous Melanoma Detection and Management (1 paper) and Educational Assessment and Improvement (1 paper). The work is most often cited by research in Health Informatics (54 citations), Health Information Management (78 citations), Radiology, Nuclear Medicine and Imaging (88 citations), Artificial Intelligence (127 citations) and Computer Vision and Pattern Recognition (54 citations). Hung N. Pham has collaborated with scholars based in Vietnam, United States and Singapore. Frequent co-authors include Quang H. Nguyen, Binh P. Nguyen, T. T. Trang, Cao Truong Tran, Hợp Trần, Nhung Nghiem, Colin R Simpson, Quang‐Cuong Pham, Cunjun Yu and Zhongang Cai. Their work appears in journals such as JACC: Cardiovascular Interventions, Journal of the American College of Cardiology, Circulation, European Cardiology Review and Computer Methods and Programs in Biomedicine.
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.