Vinh‐Thong Ta
- Computer Vision and Pattern Recognition top 5%
- Neurology top 10%
- Radiology, Nuclear Medicine and Imaging
- Media Technology top 5%
- Artificial Intelligence
- Co-authors
- Rémi GiraudPierrick CoupéNicolas PapadakisJosé V. ManjónAurélie BugeauOlivier LézorayD. Louis CollinsAbderrahim Elmoataz
- Topics
- Medical Image Segmentation Techniques (11 papers)Image Enhancement Techniques (6 papers)Image and Signal Denoising Methods (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeuroImageIEEE Transactions on Image Processing
- Partner nations
- FranceUnited KingdomGermany
In The Last Decade
Vinh‐Thong Ta
26 papers receiving 577 citations
Peers
Comparison fields: 5 of 113
- Computer Vision and Pattern Recognition 271
- Neurology 119
- Radiology, Nuclear Medicine and Imaging 106
- Media Technology 88
- Artificial Intelligence 69
Countries citing papers authored by Vinh‐Thong Ta
This map shows the geographic impact of Vinh‐Thong Ta'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 Vinh‐Thong Ta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vinh‐Thong Ta more than expected).
Fields of papers citing papers by Vinh‐Thong Ta
This network shows the impact of papers produced by Vinh‐Thong Ta. 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 Vinh‐Thong Ta. The network helps show where Vinh‐Thong Ta may publish in the future.
Co-authorship network of co-authors of Vinh‐Thong Ta
This figure shows the co-authorship network connecting the top 25 collaborators of Vinh‐Thong Ta. A scholar is included among the top collaborators of Vinh‐Thong Ta 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 Vinh‐Thong Ta. Vinh‐Thong Ta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 30 | |
| 3 | Augmenting Zero Trust Architecture to Endpoints Using Blockchain: A Systematic Review | 3 |
| 4 | 9 | |
| 5 | 6 | |
| 6 | 44 | |
| 7 | 21 | |
| 8 | 41 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 34 | |
| 12 | 4 | |
| 13 | 11 | |
| 14 | 2 | |
| 15 | 126 | |
| 16 | 29 | |
| 17 | 42 | |
| 18 | Graphs regularization for data sets and images: Filtering and semi-supervised classification | 0 |
| 19 | 43 | |
| 20 | 2 |
About Vinh‐Thong Ta
Vinh‐Thong Ta is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 28 papers that have together received 606 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (11 papers), Image Enhancement Techniques (6 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Neurology (119 citations), Computer Vision and Pattern Recognition (271 citations) and Media Technology (88 citations). Vinh‐Thong Ta has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include Rémi Giraud, Pierrick Coupé, Nicolas Papadakis, José V. Manjón, Aurélie Bugeau, Olivier Lézoray, D. Louis Collins, Abderrahim Elmoataz, José E. Romero and Vladimir Fonov. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage 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.