Sangyoun Lee

352 total papers · 3.4k total citations
156 papers, 2.1k citations indexed

About

Sangyoun Lee is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Sangyoun Lee has authored 156 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Computer Vision and Pattern Recognition, 25 papers in Signal Processing and 15 papers in Artificial Intelligence. Recurrent topics in Sangyoun Lee's work include Face recognition and analysis (29 papers), Face and Expression Recognition (27 papers) and Advanced Vision and Imaging (19 papers). Sangyoun Lee is often cited by papers focused on Face recognition and analysis (29 papers), Face and Expression Recognition (27 papers) and Advanced Vision and Imaging (19 papers). Sangyoun Lee collaborates with scholars based in South Korea, United States and China. Sangyoun Lee's co-authors include Kar‐Ann Toh, Minhyeok Lee, MyeongAh Cho, Yuseok Ban, Suhwan Cho, Andrew Beng Jin Teoh, Dogyoon Lee, Seong‐Wan Kim, Jaihie Kim and Sang‐Ha Kim and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Sangyoun Lee

136 papers receiving 1.9k citations

Hit Papers

Hierarchically Decomposed... 2023 2026 2024 2023 40 80 120

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sangyoun Lee 1.4k 645 381 243 226 156 2.1k
Xiaoyi Feng 1.8k 1.3× 853 1.3× 497 1.3× 176 0.7× 228 1.0× 159 2.7k
Kar‐Ann Toh 1.3k 1.0× 908 1.4× 608 1.6× 155 0.6× 357 1.6× 166 2.3k
Hugo Jair Escalante 1.3k 0.9× 460 0.7× 1.2k 3.1× 168 0.7× 293 1.3× 159 2.9k
Marco Bertini 2.3k 1.7× 537 0.8× 750 2.0× 98 0.4× 123 0.5× 169 2.8k
Rubén Vera-Rodríguez 1.4k 1.0× 880 1.4× 462 1.2× 306 1.3× 607 2.7× 111 2.4k
Hanqing Lu 2.2k 1.6× 411 0.6× 582 1.5× 218 0.9× 96 0.4× 132 2.6k
Peter Eisert 1.7k 1.2× 388 0.6× 120 0.3× 237 1.0× 90 0.4× 208 2.8k
Hoshang Kolivand 780 0.6× 219 0.3× 626 1.6× 171 0.7× 158 0.7× 128 1.9k
Shaohua Teng 790 0.6× 446 0.7× 548 1.4× 89 0.4× 178 0.8× 130 1.7k
Felix Juefei-Xu 1.6k 1.1× 584 0.9× 1.0k 2.7× 105 0.4× 227 1.0× 85 2.5k

Countries citing papers authored by Sangyoun Lee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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