Yongjin Kwon

182 total papers · 1.7k total citations
121 papers, 1.1k citations indexed

About

Yongjin Kwon is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Yongjin Kwon has authored 121 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 29 papers in Mechanical Engineering and 27 papers in Industrial and Manufacturing Engineering. Recurrent topics in Yongjin Kwon's work include Industrial Vision Systems and Defect Detection (15 papers), Manufacturing Process and Optimization (14 papers) and Advanced machining processes and optimization (13 papers). Yongjin Kwon is often cited by papers focused on Industrial Vision Systems and Defect Detection (15 papers), Manufacturing Process and Optimization (14 papers) and Advanced machining processes and optimization (13 papers). Yongjin Kwon collaborates with scholars based in South Korea, United States and Japan. Yongjin Kwon's co-authors include Tzu-Liang Tseng, Kyuchang Kang, Changseok Bae, Yalcin Ertekin, Gary W. Fischer, Richard Chiou, Jinyoung Moon, Jongyoul Park, Timothy J. Etherington and Thomas Schnell and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Expert Systems with Applications.

In The Last Decade

Yongjin Kwon

105 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Yongjin Kwon 314 310 216 166 166 121 1.1k
Zdenko Kovačić 282 0.9× 187 0.6× 326 1.5× 149 0.9× 160 1.0× 132 1.2k
Taşkın Padır 315 1.0× 199 0.6× 85 0.4× 97 0.6× 239 1.4× 123 1.2k
Chyi‐Yeu Lin 300 1.0× 209 0.7× 172 0.8× 221 1.3× 254 1.5× 125 1.4k
Nilanjan Chakraborty 364 1.2× 268 0.9× 152 0.7× 86 0.5× 164 1.0× 82 1.4k
Tarek Sobh 304 1.0× 290 0.9× 318 1.5× 97 0.6× 200 1.2× 142 1.4k
J. Cecil 253 0.8× 218 0.7× 462 2.1× 101 0.6× 187 1.1× 92 1.3k
Filippo Sanfilippo 168 0.5× 285 0.9× 197 0.9× 246 1.5× 312 1.9× 120 1.4k
Stephen Balakirsky 414 1.3× 252 0.8× 141 0.7× 66 0.4× 111 0.7× 98 1.2k
R. Marı́n 344 1.1× 408 1.3× 59 0.3× 134 0.8× 165 1.0× 115 1.2k
Dimitrios Chrysostomou 274 0.9× 178 0.6× 398 1.8× 75 0.5× 114 0.7× 59 1.1k

Countries citing papers authored by Yongjin Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Yongjin Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongjin Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Yongjin Kwon. A scholar is included among the top collaborators of Yongjin Kwon 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 Yongjin Kwon. Yongjin Kwon 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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2026