Soohwan Yu

41 total papers · 799 total citations
31 papers, 555 citations indexed

About

Soohwan Yu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Soohwan Yu has authored 31 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 10 papers in Media Technology and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Soohwan Yu's work include Image Enhancement Techniques (23 papers), Advanced Image Processing Techniques (21 papers) and Advanced Vision and Imaging (15 papers). Soohwan Yu is often cited by papers focused on Image Enhancement Techniques (23 papers), Advanced Image Processing Techniques (21 papers) and Advanced Vision and Imaging (15 papers). Soohwan Yu collaborates with scholars based in South Korea, United States and India. Soohwan Yu's co-authors include Joonki Paik, Seonhee Park, Seungyong Ko, Minseo Kim, Won‐Seok Kang, Sangkeun Lee, Doochun Seo, Chan-Yong Park, Jaeheon Jeong and Hyeong-Seok Choi and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and Sensors.

In The Last Decade

Soohwan Yu

29 papers receiving 531 citations

Author Peers

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

Author Last Decade Papers Cites
Soohwan Yu 510 286 43 23 20 31 555
Xiang Zhu 591 1.2× 327 1.1× 60 1.4× 23 1.0× 27 1.4× 27 688
Jiandong Tian 473 0.9× 149 0.5× 57 1.3× 28 1.2× 15 0.8× 31 539
Wen Lu 583 1.1× 360 1.3× 46 1.1× 14 0.6× 19 0.9× 24 648
Jean‐Charles Pinoli 471 0.9× 247 0.9× 60 1.4× 21 0.9× 32 1.6× 54 662
Haofeng Huang 576 1.1× 245 0.9× 29 0.7× 26 1.1× 41 2.0× 12 635
Jiebin Yan 464 0.9× 248 0.9× 46 1.1× 22 1.0× 10 0.5× 46 500
Mejdi Trimeche 535 1.0× 309 1.1× 32 0.7× 34 1.5× 66 3.3× 17 667
F. Lotti 242 0.5× 254 0.9× 68 1.6× 35 1.5× 43 2.1× 24 592
YiChang Shih 608 1.2× 136 0.5× 24 0.6× 21 0.9× 27 1.4× 13 658
Chao Wang 341 0.7× 193 0.7× 53 1.2× 65 2.8× 28 1.4× 45 532

Countries citing papers authored by Soohwan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Soohwan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soohwan Yu. 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 Soohwan Yu. The network helps show where Soohwan Yu may publish in the future.

Co-authorship network of co-authors of Soohwan Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Soohwan Yu. A scholar is included among the top collaborators of Soohwan Yu 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 Soohwan Yu. Soohwan Yu 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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