Hieu H. Pham
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Pulmonary and Respiratory Medicine
- Topics
- COVID-19 diagnosis using AI (7 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)ECG Monitoring and Analysis (4 papers)
- Partner nations
- VietnamUnited StatesFrance
In The Last Decade
Hieu H. Pham
30 papers receiving 366 citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 175
- Radiology, Nuclear Medicine and Imaging 126
- Biomedical Engineering 76
- Computer Vision and Pattern Recognition 73
- Pulmonary and Respiratory Medicine 51
Countries citing papers authored by Hieu H. Pham
This map shows the geographic impact of Hieu H. 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 Hieu H. Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hieu H. Pham more than expected).
Fields of papers citing papers by Hieu H. Pham
This network shows the impact of papers produced by Hieu H. 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 Hieu H. Pham. The network helps show where Hieu H. Pham may publish in the future.
Co-authorship network of co-authors of Hieu H. Pham
This figure shows the co-authorship network connecting the top 25 collaborators of Hieu H. Pham. A scholar is included among the top collaborators of Hieu H. Pham 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 Hieu H. Pham. Hieu H. Pham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 33 | |
| 10 | 5 | |
| 11 | 8 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 68 | |
| 15 | 43 | |
| 16 | 22 | |
| 17 | 4 | |
| 18 | 2 | |
| 19 | 12 | |
| 20 | 11 |
About Hieu H. Pham
Hieu H. Pham is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 34 papers that have together received 380 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and ECG Monitoring and Analysis (4 papers). The work is most often cited by research in Health Informatics (21 citations), Artificial Intelligence (175 citations) and Radiology, Nuclear Medicine and Imaging (126 citations). Hieu H. Pham has collaborated with scholars based in Vietnam, United States and France. Frequent co-authors include Ha Q. Nguyen, Linh Le, Hieu Nguyen, Van Vu, Minh Quang Dao, Khanh Lam, Cuong Do, Phi Le Nguyen, Kok‐Seng Wong and Ha Q. Nguyen. Their work appears in journals such as PLoS ONE, Scientific Reports and IEEE Access.
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.