Jin-Seon Lee

28 total papers · 1.1k total citations
10 papers, 759 citations indexed

About

Jin-Seon Lee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Jin-Seon Lee has authored 10 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Jin-Seon Lee's work include Neural Networks and Applications (3 papers), Semiconductor materials and devices (3 papers) and Handwritten Text Recognition Techniques (2 papers). Jin-Seon Lee is often cited by papers focused on Neural Networks and Applications (3 papers), Semiconductor materials and devices (3 papers) and Handwritten Text Recognition Techniques (2 papers). Jin-Seon Lee collaborates with scholars based in South Korea, Canada and United States. Jin-Seon Lee's co-authors include Il-Seok Oh, Byung-Ro Moon, Ching Y. Suen, Kyung Hwan Kim, Kijoon Kim, Hyeri Lee, Junheon Yoon, Jong‐Kwon Im, Jong-Woo Choi and Jae Hoon Kim and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Japanese Journal of Applied Physics and Journal of Nanoscience and Nanotechnology.

In The Last Decade

Jin-Seon Lee

8 papers receiving 701 citations

Hit Papers

Hybrid genetic algorithms... 2004 2026 2011 2018 2004 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Jin-Seon Lee 470 227 123 106 66 10 759
Gang Wang 424 0.9× 138 0.6× 73 0.6× 78 0.7× 53 0.8× 9 708
Saúl Solorio-Fernández 361 0.8× 212 0.9× 67 0.5× 82 0.8× 66 1.0× 8 653
Domingo Ortíz-Boyer 624 1.3× 216 1.0× 127 1.0× 50 0.5× 65 1.0× 23 871
Yu Xue 453 1.0× 177 0.8× 96 0.8× 198 1.9× 119 1.8× 22 894
Andreas Janecek 367 0.8× 154 0.7× 126 1.0× 47 0.4× 81 1.2× 21 794
Iffat A. Gheyas 364 0.8× 161 0.7× 85 0.7× 85 0.8× 151 2.3× 12 748
Mehdi Agha Sarram 409 0.9× 283 1.2× 96 0.8× 136 1.3× 52 0.8× 38 891
Xiaolong Teng 437 0.9× 347 1.5× 239 1.9× 65 0.6× 152 2.3× 5 883
H. Vafaie 410 0.9× 165 0.7× 58 0.5× 58 0.5× 111 1.7× 20 628
Mohammad Ali Zare Chahooki 277 0.6× 278 1.2× 88 0.7× 89 0.8× 49 0.7× 34 620

Countries citing papers authored by Jin-Seon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jin-Seon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin-Seon 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 Jin-Seon Lee. The network helps show where Jin-Seon Lee may publish in the future.

Co-authorship network of co-authors of Jin-Seon Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jin-Seon Lee. A scholar is included among the top collaborators of Jin-Seon 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 Jin-Seon Lee. Jin-Seon 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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