Min-Chul Yang

About

Min-Chul Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Min-Chul Yang has authored 5 papers receiving a total of 107 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Sociology and Political Science. Recurrent topics in Min-Chul Yang’s work include Multimodal Machine Learning Applications (2 papers), Topic Modeling (2 papers) and Advanced Text Analysis Techniques (2 papers). Min-Chul Yang is often cited by papers focused on Multimodal Machine Learning Applications (2 papers), Topic Modeling (2 papers) and Advanced Text Analysis Techniques (2 papers). Min-Chul Yang collaborates with scholars based in South Korea and United States. Min-Chul Yang's co-authors include Hae‐Chang Rim, Chanyoung Park, Soyoung Park, Jung‐Tae Lee, Hwanjo Yu, Yejin Kim and Hwanjo Yu and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Min-Chul Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Min-Chul Yang. A scholar is included among the top collaborators of Min-Chul Yang 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 Min-Chul Yang. Min-Chul Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Min-Chul Yang

5 papers receiving 106 citations

Fields of papers citing papers by Min-Chul Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min-Chul Yang. 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 Min-Chul Yang. The network helps show where Min-Chul Yang may publish in the future.

Countries citing papers authored by Min-Chul Yang

Since Specialization

Citations

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