Jungyun Seo

88 papers and 714 indexed citations i.

About

Jungyun Seo is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jungyun Seo has authored 88 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Artificial Intelligence, 24 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jungyun Seo’s work include Topic Modeling (54 papers), Natural Language Processing Techniques (49 papers) and Speech and dialogue systems (32 papers). Jungyun Seo is often cited by papers focused on Topic Modeling (54 papers), Natural Language Processing Techniques (49 papers) and Speech and dialogue systems (32 papers). Jungyun Seo collaborates with scholars based in South Korea, United States and United Kingdom. Jungyun Seo's co-authors include Youngjoong Ko, Harksoo Kim, Bosung Kim, Sooyong Park, Robert F. Simmons, Byoung Jae Kim, Hanmin Jung, Changki Lee, Seungwoo Lee and Jeong-Won Cha and has published in prestigious journals such as The Journal of the Acoustical Society of America, Expert Systems with Applications and Sensors.

In The Last Decade

Co-authorship network of co-authors of Jungyun Seo i

Fields of papers citing papers by Jungyun Seo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jungyun Seo

Since Specialization
Citations

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