Sehee Chung

5 papers and 185 indexed citations i.

About

Sehee Chung is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Sehee Chung has authored 5 papers receiving a total of 185 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Management Science and Operations Research and 2 papers in Information Systems. Recurrent topics in Sehee Chung’s work include Topic Modeling (2 papers), Recommender Systems and Techniques (2 papers) and Advanced Bandit Algorithms Research (2 papers). Sehee Chung is often cited by papers focused on Topic Modeling (2 papers), Recommender Systems and Techniques (2 papers) and Advanced Bandit Algorithms Research (2 papers). Sehee Chung collaborates with scholars based in South Korea and United States. Sehee Chung's co-authors include Lai-Su Yeh, Sandeep Kumar, Barış Ethem Süzek, Winona C. Barker, Hongzhan Huang, Raja Mazumder, A. N. NIKOL'SKAYA, Zhang-Zhi Hu, Robert S. Ledley and Leslie Arminski and has published in prestigious journals such as Nucleic Acids Research, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Sehee Chung i

Fields of papers citing papers by Sehee Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sehee Chung

Since Specialization
Citations

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