Jaemin Yoo

21 papers and 151 indexed citations i.

About

Jaemin Yoo is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jaemin Yoo has authored 21 papers receiving a total of 151 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Statistical and Nonlinear Physics and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jaemin Yoo’s work include Complex Network Analysis Techniques (11 papers), Advanced Graph Neural Networks (7 papers) and Data Visualization and Analytics (5 papers). Jaemin Yoo is often cited by papers focused on Complex Network Analysis Techniques (11 papers), Advanced Graph Neural Networks (7 papers) and Data Visualization and Analytics (5 papers). Jaemin Yoo collaborates with scholars based in South Korea, United States and Canada. Jaemin Yoo's co-authors include U Kang, Tae‐Bum Kim, Kijung Shin, Tai Sik Lee, Leonhard E. Bernold, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon, Jinhong Jung and Junghun Kim and has published in prestigious journals such as PLoS ONE, International Journal of Approximate Reasoning and Data Mining and Knowledge Discovery.

In The Last Decade

Co-authorship network of co-authors of Jaemin Yoo i

Fields of papers citing papers by Jaemin Yoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jaemin Yoo

Since Specialization
Citations

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