Minsuk Kahng

29 papers and 871 indexed citations i.

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 29 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Minsuk Kahng’s work include Data Visualization and Analytics (11 papers), Topic Modeling (6 papers) and Explainable Artificial Intelligence (XAI) (6 papers). Minsuk Kahng is often cited by papers focused on Data Visualization and Analytics (11 papers), Topic Modeling (6 papers) and Explainable Artificial Intelligence (XAI) (6 papers). Minsuk Kahng collaborates with scholars based in United States, South Korea and China. Minsuk Kahng's co-authors include Duen Horng Chau, Fred Hohman, Robert Pienta, Pierre Andrews, Fernanda Viégas, Nikhil Thorat, Martin Wattenberg, Omar Shaikh, Haekyu Park and Nilaksh Das and has published in prestigious journals such as Expert Systems with Applications, Journal of the American Medical Informatics Association and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Co-authorship network of co-authors of Minsuk Kahng i

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.

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).

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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2025