Xuan Dai Pham
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Electrical and Electronic Engineering
- Aerospace Engineering
- Automotive Engineering
- Co-authors
- Jae Wook JeonSeunghun JinSung-Kee ParkKyoung Mu LeeMunsang KimThuy Tuong NguyenDongkyun Kim
- Topics
- Advanced Vision and Imaging (8 papers)Video Surveillance and Tracking Methods (5 papers)Image and Object Detection Techniques (5 papers)
- Journals
- IEEE Transactions on Vehicular TechnologyIEEE Transactions on Circuits and Systems for Video TechnologyProceedings - IEEE International Conference on Robotics and Automation/Proceedings
- Partner nations
- South KoreaUnited States
In The Last Decade
Xuan Dai Pham
14 papers receiving 349 citations
Peers
Comparison fields: 5 of 45
- Computer Vision and Pattern Recognition 330
- Media Technology 125
- Electrical and Electronic Engineering 98
- Aerospace Engineering 68
- Automotive Engineering 29
Countries citing papers authored by Xuan Dai Pham
This map shows the geographic impact of Xuan Dai Pham'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 Xuan Dai Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuan Dai Pham more than expected).
Fields of papers citing papers by Xuan Dai Pham
This network shows the impact of papers produced by Xuan Dai Pham. 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 Xuan Dai Pham. The network helps show where Xuan Dai Pham may publish in the future.
Co-authorship network of co-authors of Xuan Dai Pham
This figure shows the co-authorship network connecting the top 25 collaborators of Xuan Dai Pham. A scholar is included among the top collaborators of Xuan Dai Pham 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 Xuan Dai Pham. Xuan Dai Pham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 234 | |
| 6 | 11 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 6 | |
| 11 | 22 | |
| 12 | 8 | |
| 13 | 14 | |
| 14 | 17 |
About Xuan Dai Pham
Xuan Dai Pham is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Media Technology, having authored 14 papers that have together received 370 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (8 papers), Video Surveillance and Tracking Methods (5 papers) and Image and Object Detection Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (330 citations), Media Technology (125 citations) and Human-Computer Interaction (18 citations). Xuan Dai Pham has collaborated with scholars based in South Korea and United States. Frequent co-authors include Jae Wook Jeon, Seunghun Jin, Sung-Kee Park, Kyoung Mu Lee, Munsang Kim, Thuy Tuong Nguyen and Dongkyun Kim. Their work appears in journals such as IEEE Transactions on Vehicular Technology, IEEE Transactions on Circuits and Systems for Video Technology and Proceedings - IEEE International Conference on Robotics and Automation/Proceedings.
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.