Tien Do
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering
- Artificial Intelligence
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering
- Co-authors
- Thanh Duc NgoDuy-Dinh LeStergios I. RoumeliotisGary HsiehHyun Soo ParkSudipta N. SinhaHung T. LeKhiem Le
- Topics
- Advanced Image and Video Retrieval Techniques (5 papers)Advanced Neural Network Applications (4 papers)Robotics and Sensor-Based Localization (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionIndustrial and Manufacturing EngineeringHuman-Computer Interaction
- Journals
- IEEE AccessThe International Journal of Robotics ResearchJournal of Electrical and Computer Engineering
- Partner nations
- VietnamUnited StatesJapan
In The Last Decade
Tien Do
16 papers receiving 228 citations
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 125
- Aerospace Engineering 39
- Artificial Intelligence 32
- Electrical and Electronic Engineering 27
- Industrial and Manufacturing Engineering 26
Countries citing papers authored by Tien Do
This map shows the geographic impact of Tien Do'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 Tien Do with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tien Do more than expected).
Fields of papers citing papers by Tien Do
This network shows the impact of papers produced by Tien Do. 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 Tien Do. The network helps show where Tien Do may publish in the future.
Co-authorship network of co-authors of Tien Do
This figure shows the co-authorship network connecting the top 25 collaborators of Tien Do. A scholar is included among the top collaborators of Tien Do 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 Tien Do. Tien Do 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 10 | |
| 12 | 0 | |
| 13 | 154 | |
| 14 | 19 | |
| 15 | 17 | |
| 16 | NII-UIT at MediaEval 2016 Predicting Media Interestingness Task. | 2 |
| 17 | 7 | |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 2 |
About Tien Do
Tien Do is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Media Technology, having authored 22 papers that have together received 235 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (5 papers), Advanced Neural Network Applications (4 papers) and Robotics and Sensor-Based Localization (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (125 citations), Industrial and Manufacturing Engineering (26 citations) and Human-Computer Interaction (13 citations). Tien Do has collaborated with scholars based in Vietnam, United States and Japan. Frequent co-authors include Thanh Duc Ngo, Duy-Dinh Le, Stergios I. Roumeliotis, Gary Hsieh, Hyun Soo Park, Sudipta N. Sinha, Hung T. Le, Khiem Le and Shin’ichi Satoh. Their work appears in journals such as IEEE Access, The International Journal of Robotics Research and Journal of Electrical and Computer Engineering.
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.