Sang-Uk Lee
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 10%
- Computer Graphics and Computer-Aided Design top 5%
- Computational Mechanics
- Media Technology top 10%
- Co-authors
- Chang‐Su KimKyoung-Mu LeeYoung-Yoon LeeNitin SinghalJae-Young SimC.‐C. Jay KuoSoon Young LeeHyeokho Choi
- Topics
- Advanced Data Compression Techniques (8 papers)Computer Graphics and Visualization Techniques (7 papers)Video Coding and Compression Technologies (7 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionSignal Processing
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingIEEE Transactions on Circuits and Systems for Video Technology
- Partner nations
- South KoreaUnited StatesHong Kong
In The Last Decade
Sang-Uk Lee
24 papers receiving 282 citations
Peers
Comparison fields: 5 of 33
- Computer Vision and Pattern Recognition 286
- Signal Processing 84
- Computer Graphics and Computer-Aided Design 51
- Computational Mechanics 32
- Media Technology 29
Countries citing papers authored by Sang-Uk Lee
This map shows the geographic impact of Sang-Uk Lee'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 Sang-Uk Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sang-Uk Lee more than expected).
Fields of papers citing papers by Sang-Uk Lee
This network shows the impact of papers produced by Sang-Uk Lee. 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 Sang-Uk Lee. The network helps show where Sang-Uk Lee may publish in the future.
Co-authorship network of co-authors of Sang-Uk Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Sang-Uk Lee. A scholar is included among the top collaborators of Sang-Uk Lee 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 Sang-Uk Lee. Sang-Uk Lee 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 | 17 | |
| 3 | 4 | |
| 4 | Viewing angle dependent coding of digital holograms | 4 |
| 5 | 3 | |
| 6 | Development of Galileo Signal Simulator | 0 |
| 7 | 39 | |
| 8 | 5 | |
| 9 | 28 | |
| 10 | 15 | |
| 11 | 0 | |
| 12 | 55 | |
| 13 | 1 | |
| 14 | 21 | |
| 15 | 3 | |
| 16 | 6 | |
| 17 | 4 | |
| 18 | 9 | |
| 19 | 33 | |
| 20 | 12 |
About Sang-Uk Lee
Sang-Uk Lee is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Signal Processing, having authored 28 papers that have together received 309 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (8 papers), Computer Graphics and Visualization Techniques (7 papers) and Video Coding and Compression Technologies (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (51 citations), Computer Vision and Pattern Recognition (286 citations) and Signal Processing (84 citations). Sang-Uk Lee has collaborated with scholars based in South Korea, United States and Hong Kong. Frequent co-authors include Chang‐Su Kim, Kyoung-Mu Lee, Young-Yoon Lee, Nitin Singhal, Jae-Young Sim, C.‐C. Jay Kuo, Soon Young Lee, Hyeokho Choi, Jungwon Kang and Nam Ik Cho. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Circuits and Systems for Video Technology.
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.