Thanh Nguyen-Duc
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Computational Mechanics top 10%
- Artificial Intelligence
- Co-authors
- Won‐Ki JeongTran Minh QuanAaron T. KuanLogan A. ThomasWei-Chung Allen LeeJohn NguyenDinh PhungPeter Chan
- Topics
- Advanced MRI Techniques and Applications (5 papers)Sparse and Compressive Sensing Techniques (4 papers)Medical Imaging Techniques and Applications (3 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingComputer Vision and Pattern RecognitionComputational Mechanics
- Partner nations
- AustraliaSouth KoreaVietnam
In The Last Decade
Thanh Nguyen-Duc
10 papers receiving 474 citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Radiology, Nuclear Medicine and Imaging 333
- Computer Vision and Pattern Recognition 157
- Biomedical Engineering 138
- Computational Mechanics 129
- Artificial Intelligence 56
Countries citing papers authored by Thanh Nguyen-Duc
This map shows the geographic impact of Thanh Nguyen-Duc'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 Thanh Nguyen-Duc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thanh Nguyen-Duc more than expected).
Fields of papers citing papers by Thanh Nguyen-Duc
This network shows the impact of papers produced by Thanh Nguyen-Duc. 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 Thanh Nguyen-Duc. The network helps show where Thanh Nguyen-Duc may publish in the future.
Co-authorship network of co-authors of Thanh Nguyen-Duc
This figure shows the co-authorship network connecting the top 25 collaborators of Thanh Nguyen-Duc. A scholar is included among the top collaborators of Thanh Nguyen-Duc 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 Thanh Nguyen-Duc. Thanh Nguyen-Duc is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 12 | |
| 7 | 23 | |
| 8 | Compressed Sensing MRI Reconstruction Using a Generative Adversarial Network With a Cyclic Lossbreakdown → | 421 |
| 9 | 4 | |
| 10 | Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks. | 12 |
| 11 | 0 |
About Thanh Nguyen-Duc
Thanh Nguyen-Duc is a scholar working on Structural Biology, Critical Care and Intensive Care Medicine and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 484 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (5 papers), Sparse and Compressive Sensing Techniques (4 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (333 citations), Computer Vision and Pattern Recognition (157 citations) and Computational Mechanics (129 citations). Thanh Nguyen-Duc has collaborated with scholars based in Australia, South Korea and Vietnam. Frequent co-authors include Won‐Ki Jeong, Tran Minh Quan, Aaron T. Kuan, Logan A. Thomas, Wei-Chung Allen Lee, John Nguyen, Dinh Phung, Peter Chan, Trung Le and Jianfei Cai. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis and Australian Critical Care.
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.