Thang Ba Dinh
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Safety, Risk, Reliability and Quality top 10%
- Co-authors
- Gérard MedioniNam VoQian YuYinghao CaiQuan M. NguyenQuang D. TranTuan Thanh NguyenDuy-Dinh Le
- Topics
- Video Surveillance and Tracking Methods (9 papers)Human Pose and Action Recognition (5 papers)Advanced Image and Video Retrieval Techniques (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionHuman-Computer InteractionSafety, Risk, Reliability and Quality
- Partner nations
- VietnamUnited StatesJapan
In The Last Decade
Thang Ba Dinh
13 papers receiving 457 citations
Hit Papers
Peers
Comparison fields: 5 of 37
- Computer Vision and Pattern Recognition 451
- Aerospace Engineering 92
- Electrical and Electronic Engineering 45
- Artificial Intelligence 43
- Safety, Risk, Reliability and Quality 35
Countries citing papers authored by Thang Ba Dinh
This map shows the geographic impact of Thang Ba Dinh'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 Thang Ba Dinh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thang Ba Dinh more than expected).
Fields of papers citing papers by Thang Ba Dinh
This network shows the impact of papers produced by Thang Ba Dinh. 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 Thang Ba Dinh. The network helps show where Thang Ba Dinh may publish in the future.
Co-authorship network of co-authors of Thang Ba Dinh
This figure shows the co-authorship network connecting the top 25 collaborators of Thang Ba Dinh. A scholar is included among the top collaborators of Thang Ba Dinh 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 Thang Ba Dinh. Thang Ba Dinh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | Context tracker: Exploring supporters and distracters in unconstrained environmentsbreakdown → | 353 |
| 9 | 32 | |
| 10 | 15 | |
| 11 | 25 | |
| 12 | 2 | |
| 13 | 8 |
About Thang Ba Dinh
Thang Ba Dinh is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Geology, having authored 13 papers that have together received 469 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (9 papers), Human Pose and Action Recognition (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (451 citations), Human-Computer Interaction (31 citations) and Safety, Risk, Reliability and Quality (35 citations). Thang Ba Dinh has collaborated with scholars based in Vietnam, United States and Japan. Frequent co-authors include Gérard Medioni, Nam Vo, Gérard Medioni, Qian Yu, Yinghao Cai, Quan M. Nguyen, Quang D. Tran, Tuan Thanh Nguyen, Duy-Dinh Le and Quang Tran Minh. Their work appears in journals such as Computer Vision and Image Understanding.
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.