Hyo-Jung Oh

About

Hyo-Jung Oh is a scholar working on Information Systems, Artificial Intelligence and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Hyo-Jung Oh has authored 40 papers receiving a total of 176 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 12 papers in Artificial Intelligence and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Hyo-Jung Oh’s work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Technology and Data Analysis (5 papers). Hyo-Jung Oh is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Technology and Data Analysis (5 papers). Hyo-Jung Oh collaborates with scholars based in South Korea. Hyo-Jung Oh's co-authors include Myung-Gil Jang, Hye Jung Kim, Sung Hyon Myaeng, Deok‐Kun Oh, Jae‐Gyu Jeon, Chung-Hee Lee, Chul Yong Kim, Changki Lee, Hyun Ki Kim and Yong Kim and has published in prestigious journals such as Journal of Dental Research, Scripta Materialia and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Hyo-Jung Oh i

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Fields of papers citing papers by Hyo-Jung Oh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyo-Jung Oh. 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 Hyo-Jung Oh. The network helps show where Hyo-Jung Oh may publish in the future.

Countries citing papers authored by Hyo-Jung Oh

Since Specialization

Citations

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