Kuk-Jin Yoon

35 total papers · 405 total citations
13 papers, 241 citations indexed

About

Kuk-Jin Yoon is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Pharmacology. According to data from OpenAlex, Kuk-Jin Yoon has authored 13 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Pharmacology. Recurrent topics in Kuk-Jin Yoon's work include Advanced Image Processing Techniques (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Image Retrieval and Classification Techniques (2 papers). Kuk-Jin Yoon is often cited by papers focused on Advanced Image Processing Techniques (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Image Retrieval and Classification Techniques (2 papers). Kuk-Jin Yoon collaborates with scholars based in South Korea, Canada and United States. Kuk-Jin Yoon's co-authors include In-So Kweon, In So Kweon, Ming–Hsuan Yang, Ju Hong Yoon, Sungho Kim, Hyeonseong Kim, Dae-Sik Lee, Inkyu Park, Kichul Lee and Mingu Kang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Science Advances and ACS Sensors.

In The Last Decade

Kuk-Jin Yoon

9 papers receiving 228 citations

Author Peers

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

Author Last Decade Papers Cites
Kuk-Jin Yoon 222 57 50 18 10 13 241
Shuwei Shao 192 0.9× 86 1.5× 58 1.2× 10 0.6× 9 0.9× 17 230
In-So Kweon 236 1.1× 55 1.0× 81 1.6× 27 1.5× 34 3.4× 8 277
Ziteng Cui 164 0.7× 35 0.6× 61 1.2× 19 1.1× 21 2.1× 9 209
Kunming Luo 212 1.0× 42 0.7× 31 0.6× 16 0.9× 35 3.5× 21 258
Xianming Liu 159 0.7× 61 1.1× 29 0.6× 11 0.6× 29 2.9× 15 200
Nathan Drenkow 168 0.8× 40 0.7× 45 0.9× 8 0.4× 33 3.3× 13 230
Tatsunori Taniai 235 1.1× 50 0.9× 40 0.8× 5 0.3× 7 0.7× 13 273
Yuanbo Wen 180 0.8× 104 1.8× 28 0.6× 19 1.1× 14 1.4× 23 231
Zongwei Wu 200 0.9× 52 0.9× 42 0.8× 6 0.3× 5 0.5× 14 235
Martin Byröd 222 1.0× 37 0.6× 136 2.7× 13 0.7× 9 0.9× 11 259

Countries citing papers authored by Kuk-Jin Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Kuk-Jin Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuk-Jin Yoon

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