Sangyoun Lee
- Computer Vision and Pattern Recognition top 0.5%
- Signal Processing top 1%
- Artificial Intelligence top 5%
- Biomedical Engineering top 10%
- Information Systems top 5%
- Co-authors
- Kar‐Ann TohMinhyeok LeeMyeongAh ChoSuhwan ChoYuseok BanDogyoon LeeAndrew Beng Jin TeohSeong‐Wan Kim
- Topics
- Face recognition and analysis (29 papers)Face and Expression Recognition (27 papers)Advanced Vision and Imaging (19 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Image Processing
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Sangyoun Lee
137 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Computer Vision and Pattern Recognition 1.4k
- Signal Processing 648
- Artificial Intelligence 390
- Biomedical Engineering 259
- Information Systems 226
Countries citing papers authored by Sangyoun Lee
This map shows the geographic impact of Sangyoun 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 Sangyoun Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sangyoun Lee more than expected).
Fields of papers citing papers by Sangyoun Lee
This network shows the impact of papers produced by Sangyoun 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 Sangyoun Lee. The network helps show where Sangyoun Lee may publish in the future.
Co-authorship network of co-authors of Sangyoun Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Sangyoun Lee. A scholar is included among the top collaborators of Sangyoun 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 Sangyoun Lee. Sangyoun 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 | 4 | |
| 3 | 1 | |
| 4 | 24 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 71 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 18 | |
| 11 | 1 | |
| 12 | Institutional Change of The Health Welfare Social Cooperatives | 2 |
| 13 | 1 | |
| 14 | Learning Spatial Transform for Video Frame Interpolation. | 1 |
| 15 | Pedestrian Detection Using HOG, LBP and Color LBP | 1 |
| 16 | Geometric Surface Reconstruction via LM Optimization algorithm | 1 |
| 17 | A Study on the Retailer`s Global Expansion Strategy and Supply Chain Management : Focus on the Metro Group | 1 |
| 18 | Thermal 3D Face Modeling System | 1 |
| 19 | Pose-invariant Face Recognition | 2 |
| 20 | Equal Error Rate Minimization for Biometrics Fusion | 1 |
About Sangyoun Lee
Sangyoun Lee is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction, having authored 157 papers that have together received 2.1k indexed citations. Recurring topics across this work include Face recognition and analysis (29 papers), Face and Expression Recognition (27 papers) and Advanced Vision and Imaging (19 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Signal Processing (648 citations) and Human-Computer Interaction (166 citations). Sangyoun Lee has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Kar‐Ann Toh, Minhyeok Lee, MyeongAh Cho, Suhwan Cho, Yuseok Ban, Dogyoon Lee, Andrew Beng Jin Teoh, Seong‐Wan Kim, Jaihie Kim and Sang‐Ha Kim. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing 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.