Triet Le
-
- Medical Image Segmentation Techniques 6
- Image and Signal Denoising Methods 5
- Generative Adversarial Networks and Image Synthesis 3
- Advanced Image Processing Techniques 2
- Media Technology top 2%
- Mathematical Physics top 10%
- Numerical methods in inverse problems 4
- Computational Mechanics top 5%
- Biophysics top 10%
- Cell Image Analysis Techniques 2
-
- Advanced Mathematical Modeling in Engineering 4
-
- Mathematical Biology Tumor Growth 2
- Co-authors
- Rick ChartrandThomas J. AsakiLuminita A. VeseAntoni BuadesJean‐Michel MorelJohn B. GarnettYves MeyerSung Ha Kang
- Journals
- Journal of Mathematical Imaging and Vision (3 papers)Applied and Computational Harmonic Analysis (2 papers)Journal of Reproductive Immunology (1 paper)
- Partner nations
- United StatesVietnamFrance
In The Last Decade
Triet Le
15 papers receiving 586 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 463
- Media Technology 145
- Mathematical Physics 97
- Computational Mechanics 176
- Biophysics 28
Countries citing papers authored by Triet Le
This map shows the geographic impact of Triet Le'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 Triet Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Triet Le more than expected).
Fields of papers citing papers by Triet Le
This network shows the impact of papers produced by Triet Le. 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 Triet Le. The network helps show where Triet Le may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Triet Le, 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 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2019 | 1 | |
| 5 | 2018 | 3 | |
| 6 | 2015 | 3 | |
| 7 | 2012 | 15 | |
| 8 | 2011 | 12 | |
| 9 | 2011 | 26 | |
| 10 | 2010 | 146 | |
| 11 | 2010 | 26 | |
| 12 | 2008 | 9 | |
| 13 | 2008 | 2 | |
| 14 | 2007 | 43 | |
| 15 | 2007 | 292 | |
| 16 | 2006 | 5 | |
| 17 | 2005 | 52 |
About Triet Le
Triet Le is a scholar working on Mathematical Physics, Modeling and Simulation and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 636 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (6 papers), Image and Signal Denoising Methods (5 papers), Advanced Mathematical Modeling in Engineering (4 papers), Numerical methods in inverse problems (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Mathematical Biology Tumor Growth (2 papers), Advanced Image Processing Techniques (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (463 citations), Media Technology (145 citations) and Mathematical Physics (97 citations). Triet Le has collaborated with scholars based in United States, Vietnam and France. Frequent co-authors include Rick Chartrand, Thomas J. Asaki, Luminita A. Vese, Antoni Buades, Jean‐Michel Morel, John B. Garnett, Yves Meyer, Sung Ha Kang, Hà Quang Minh and Peter W. Jones. Their work appears in journals such as Journal of Mathematical Imaging and Vision, Applied and Computational Harmonic Analysis, Journal of Reproductive Immunology, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery and IEEE Transactions on Image Processing.
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.