Minsu Cho

About

Minsu Cho is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Minsu Cho has authored 68 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 9 papers in Management Information Systems. Recurrent topics in Minsu Cho’s work include Advanced Image and Video Retrieval Techniques (12 papers), Multimodal Machine Learning Applications (11 papers) and Domain Adaptation and Few-Shot Learning (11 papers). Minsu Cho is often cited by papers focused on Advanced Image and Video Retrieval Techniques (12 papers), Multimodal Machine Learning Applications (11 papers) and Domain Adaptation and Few-Shot Learning (11 papers). Minsu Cho collaborates with scholars based in South Korea, Japan and Germany. Minsu Cho's co-authors include Yan Lu, Juhong Min, Suha Kwak, Jean Ponce, Bohyung Han, Sung‐Yeon Kim, Jonghwan Mun, Bumsub Ham, Minseok Song and Dong-Won Kim and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Langmuir.

In The Last Decade

Co-authorship network of co-authors of Minsu Cho i

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Fields of papers citing papers by Minsu Cho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Minsu Cho

Since Specialization

Citations

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