Rang Nguyen
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 10%
- Media Technology top 10%
- Artificial Intelligence
- Atomic and Molecular Physics, and Optics
- Co-authors
- Sixing HuGim Hee LeeMengdan FengBinh‐Son HuaMichael S. BrownAnh TranSe Joo KimNguyen Khoi Quan
- Topics
- Advanced Vision and Imaging (8 papers)Image Enhancement Techniques (6 papers)Advanced Image Processing Techniques (5 papers)
- Journals
- International Journal of Computer VisionComputer Graphics Forum2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Partner nations
- SingaporeVietnamUnited States
In The Last Decade
Rang Nguyen
13 papers receiving 432 citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 389
- Aerospace Engineering 148
- Media Technology 54
- Artificial Intelligence 38
- Atomic and Molecular Physics, and Optics 32
Countries citing papers authored by Rang Nguyen
This map shows the geographic impact of Rang Nguyen'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 Rang Nguyen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rang Nguyen more than expected).
Fields of papers citing papers by Rang Nguyen
This network shows the impact of papers produced by Rang Nguyen. 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 Rang Nguyen. The network helps show where Rang Nguyen may publish in the future.
Co-authorship network of co-authors of Rang Nguyen
This figure shows the co-authorship network connecting the top 25 collaborators of Rang Nguyen. A scholar is included among the top collaborators of Rang Nguyen 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 Rang Nguyen. Rang Nguyen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 23 | |
| 7 | 22 | |
| 8 | 76 | |
| 9 | 221 | |
| 10 | 17 | |
| 11 | 10 | |
| 12 | 10 | |
| 13 | 25 | |
| 14 | 44 | |
| 15 | 0 |
About Rang Nguyen
Rang Nguyen is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Media Technology, having authored 15 papers that have together received 457 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (8 papers), Image Enhancement Techniques (6 papers) and Advanced Image Processing Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (389 citations), Media Technology (54 citations) and Aerospace Engineering (148 citations). Rang Nguyen has collaborated with scholars based in Singapore, Vietnam and United States. Frequent co-authors include Sixing Hu, Gim Hee Lee, Mengdan Feng, Binh‐Son Hua, Michael S. Brown, Michael S. Brown, Anh Tran, Se Joo Kim, Nguyen Khoi Quan and Hue Minh Thi Nguyen. Their work appears in journals such as International Journal of Computer Vision, Computer Graphics Forum and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.