Thanh Duc Ngo
- Computer Vision and Pattern Recognition top 5%
- Nutrition and Dietetics top 10%
- Artificial Intelligence top 10%
- General Health Professions top 10%
- Psychiatry and Mental health
- Co-authors
- Duy-Dinh LeTien DoDavid PelletierA.M. Shamsir AhmedTasnuva AhmedPurnima MenonRebecca J. StoltzfusLesli Hoey
- Topics
- Advanced Image and Video Retrieval Techniques (18 papers)Multimodal Machine Learning Applications (12 papers)Video Surveillance and Tracking Methods (11 papers)
- Partner nations
- VietnamJapanUnited States
In The Last Decade
Thanh Duc Ngo
48 papers receiving 603 citations
Peers
Comparison fields: 5 of 130
- Computer Vision and Pattern Recognition 250
- Nutrition and Dietetics 123
- Artificial Intelligence 94
- General Health Professions 92
- Psychiatry and Mental health 46
Countries citing papers authored by Thanh Duc Ngo
This map shows the geographic impact of Thanh Duc Ngo'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 Duc Ngo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thanh Duc Ngo more than expected).
Fields of papers citing papers by Thanh Duc Ngo
This network shows the impact of papers produced by Thanh Duc Ngo. 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 Duc Ngo. The network helps show where Thanh Duc Ngo may publish in the future.
Co-authorship network of co-authors of Thanh Duc Ngo
This figure shows the co-authorship network connecting the top 25 collaborators of Thanh Duc Ngo. A scholar is included among the top collaborators of Thanh Duc Ngo 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 Duc Ngo. Thanh Duc Ngo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 11 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 7 | |
| 13 | NII-HITACHI-UIT at TRECVID 2016. | 4 |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 5 | |
| 18 | 166 | |
| 19 | 2 | |
| 20 | 62 |
About Thanh Duc Ngo
Thanh Duc Ngo is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 59 papers that have together received 631 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (18 papers), Multimodal Machine Learning Applications (12 papers) and Video Surveillance and Tracking Methods (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (250 citations), Nutrition and Dietetics (123 citations) and Safety Research (39 citations). Thanh Duc Ngo has collaborated with scholars based in Vietnam, Japan and United States. Frequent co-authors include Duy-Dinh Le, Tien Do, David Pelletier, A.M. Shamsir Ahmed, Tasnuva Ahmed, Purnima Menon, Rebecca J. Stoltzfus, Lesli Hoey, Edward A. Frongillo and Shin’ichi Satoh. Their work appears in journals such as Neurology, International Journal of Molecular Sciences 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.