Minsuk Kahng

78 total papers · 2.1k total citations
41 papers, 1.0k citations indexed

About

Minsuk Kahng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Minsuk Kahng has authored 41 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 23 papers in Computer Vision and Pattern Recognition and 12 papers in Information Systems. Recurrent topics in Minsuk Kahng's work include Data Visualization and Analytics (15 papers), Recommender Systems and Techniques (9 papers) and Explainable Artificial Intelligence (XAI) (9 papers). Minsuk Kahng is often cited by papers focused on Data Visualization and Analytics (15 papers), Recommender Systems and Techniques (9 papers) and Explainable Artificial Intelligence (XAI) (9 papers). Minsuk Kahng collaborates with scholars based in United States, South Korea and Switzerland. Minsuk Kahng's co-authors include Duen Horng Chau, Pierre Andrews, Sang‐goo Lee, Martin Wattenberg, Fernanda Viégas, Nikhil Thorat, Fred Hohman, SangKeun Lee, Zijie J. Wang and Haekyu Park and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Journal of the American Medical Informatics Association.

In The Last Decade

Minsuk Kahng

41 papers receiving 970 citations

Author Peers

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

Author Last Decade Papers Cites
Minsuk Kahng 550 448 227 98 94 41 1.0k
Liang Gou 701 1.3× 429 1.0× 240 1.1× 86 0.9× 55 0.6× 43 1.2k
Ilir Jusufi 270 0.5× 566 1.3× 84 0.4× 104 1.1× 90 1.0× 35 899
Dong Hyun Jeong 336 0.6× 359 0.8× 101 0.4× 237 2.4× 158 1.7× 60 806
Haidong Zhang 348 0.6× 674 1.5× 136 0.6× 123 1.3× 143 1.5× 49 1.1k
Xiting Wang 799 1.5× 478 1.1× 378 1.7× 31 0.3× 69 0.7× 33 1.2k
Michelle Baldonado 238 0.4× 491 1.1× 219 1.0× 135 1.4× 120 1.3× 14 840
James Eagan 326 0.6× 670 1.5× 108 0.5× 91 0.9× 127 1.4× 27 1.1k
Lucy Nowell 398 0.7× 823 1.8× 205 0.9× 80 0.8× 215 2.3× 19 1.1k
Michael Dittenbach 573 1.0× 296 0.7× 125 0.6× 79 0.8× 149 1.6× 35 948
Anushka Anand 508 0.9× 1.0k 2.3× 107 0.5× 75 0.8× 294 3.1× 16 1.2k

Countries citing papers authored by Minsuk Kahng

Since Specialization
Citations

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

Fields of papers citing papers by Minsuk Kahng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minsuk Kahng

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