Jae‐Won Suh

101 total papers · 536 total citations
52 papers, 333 citations indexed

About

Jae‐Won Suh is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Jae‐Won Suh has authored 52 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Vision and Pattern Recognition, 22 papers in Signal Processing and 6 papers in Media Technology. Recurrent topics in Jae‐Won Suh's work include Video Coding and Compression Technologies (21 papers), Advanced Vision and Imaging (18 papers) and Image and Video Quality Assessment (13 papers). Jae‐Won Suh is often cited by papers focused on Video Coding and Compression Technologies (21 papers), Advanced Vision and Imaging (18 papers) and Image and Video Quality Assessment (13 papers). Jae‐Won Suh collaborates with scholars based in South Korea, United States and Canada. Jae‐Won Suh's co-authors include Yo-Sung Ho, Jang‐Eui Hong, Yo‐Sung Ho, Eun‐Jong Cha, Sang-Kwang Lee, Chansik Park, Robert Parker, Stephen P. Crago, Hyun‐Soo Kang and Dong‐Myung Kim and has published in prestigious journals such as IEEE Access, Electronics Letters and Optical Engineering.

In The Last Decade

Jae‐Won Suh

45 papers receiving 314 citations

Author Peers

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

Author Last Decade Papers Cites
Jae‐Won Suh 288 222 22 22 16 52 333
Mengmeng Zhang 322 1.1× 270 1.2× 26 1.2× 20 0.9× 18 1.1× 97 404
Fatma Ezahra Sayadi 294 1.0× 171 0.8× 14 0.6× 31 1.4× 20 1.3× 51 345
Dajiang Zhou 272 0.9× 262 1.2× 38 1.7× 44 2.0× 17 1.1× 30 302
Christian Herglotz 235 0.8× 200 0.9× 17 0.8× 55 2.5× 15 0.9× 52 321
Jae‐Ho Nah 244 0.8× 71 0.3× 45 2.0× 21 1.0× 18 1.1× 38 321
Yasuhiko Yasuda 193 0.7× 152 0.7× 94 4.3× 88 4.0× 22 1.4× 51 365
Xiaoyu Xiu 341 1.2× 288 1.3× 17 0.8× 13 0.6× 29 1.8× 41 370
Miguel Chavarrías 192 0.7× 164 0.7× 15 0.7× 28 1.3× 22 1.4× 41 303
W.K. Cham 276 1.0× 184 0.8× 10 0.5× 41 1.9× 13 0.8× 44 345
Yoshiyuki Yashima 357 1.2× 268 1.2× 22 1.0× 22 1.0× 26 1.6× 56 384

Countries citing papers authored by Jae‐Won Suh

Since Specialization
Citations

This map shows the geographic impact of Jae‐Won Suh'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 Jae‐Won Suh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae‐Won Suh more than expected).

Fields of papers citing papers by Jae‐Won Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐Won Suh. 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 Jae‐Won Suh. The network helps show where Jae‐Won Suh may publish in the future.

Co-authorship network of co-authors of Jae‐Won Suh

This figure shows the co-authorship network connecting the top 25 collaborators of Jae‐Won Suh. A scholar is included among the top collaborators of Jae‐Won Suh 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 Jae‐Won Suh. Jae‐Won Suh 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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