Tien‐Tsin Wong
- Computer Vision and Pattern Recognition top 0.2%
- Computer Graphics and Computer-Aided Design top 0.1%
- Computational Mechanics top 1%
- Media Technology top 1%
- Atomic and Molecular Physics, and Optics top 10%
- Co-authors
- Pheng‐Ann HengYingge QuChi-Sing LeungChi‐Wing FuDaniel Cohen‐OrHujun BaoJiaya JiaGuofeng Zhang
- Topics
- Advanced Vision and Imaging (85 papers)Computer Graphics and Visualization Techniques (83 papers)Image Enhancement Techniques (50 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceNeuroImageIEEE Transactions on Image Processing
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Tien‐Tsin Wong
185 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 150
- Computer Vision and Pattern Recognition 3.4k
- Computer Graphics and Computer-Aided Design 1.3k
- Computational Mechanics 818
- Media Technology 361
- Atomic and Molecular Physics, and Optics 282
Countries citing papers authored by Tien‐Tsin Wong
This map shows the geographic impact of Tien‐Tsin Wong'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‐Tsin Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tien‐Tsin Wong more than expected).
Fields of papers citing papers by Tien‐Tsin Wong
This network shows the impact of papers produced by Tien‐Tsin Wong. 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‐Tsin Wong. The network helps show where Tien‐Tsin Wong may publish in the future.
Co-authorship network of co-authors of Tien‐Tsin Wong
This figure shows the co-authorship network connecting the top 25 collaborators of Tien‐Tsin Wong. A scholar is included among the top collaborators of Tien‐Tsin Wong 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‐Tsin Wong. Tien‐Tsin Wong 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 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 73 | |
| 7 | 1 | |
| 8 | 73 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 53 | |
| 14 | 13 | |
| 15 | 21 | |
| 16 | 2 | |
| 17 | 17 | |
| 18 | Real-time relighting of compressed panoramas | 9 |
| 19 | On Using Longuet-Higgins Equation in Pose Estimation Framework by Lowe. | 1 |
| 20 | 14 |
About Tien‐Tsin Wong
Tien‐Tsin Wong is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 193 papers that have together received 4.6k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (85 papers), Computer Graphics and Visualization Techniques (83 papers) and Image Enhancement Techniques (50 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.3k citations), Computer Vision and Pattern Recognition (3.4k citations) and Geology (247 citations). Tien‐Tsin Wong has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Pheng‐Ann Heng, Yingge Qu, Chi-Sing Leung, Chi‐Wing Fu, Daniel Cohen‐Or, Hujun Bao, Jiaya Jia, Guofeng Zhang, Liang Wan and Chengze Li. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage 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.