Hyuk‐Chul Kwon

28 papers and 109 indexed citations i.

About

Hyuk‐Chul Kwon is a scholar working on Artificial Intelligence, Information Systems and Control and Systems Engineering. According to data from OpenAlex, Hyuk‐Chul Kwon has authored 28 papers receiving a total of 109 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 7 papers in Information Systems and 2 papers in Control and Systems Engineering. Recurrent topics in Hyuk‐Chul Kwon’s work include Natural Language Processing Techniques (17 papers), Topic Modeling (9 papers) and Text and Document Classification Technologies (5 papers). Hyuk‐Chul Kwon is often cited by papers focused on Natural Language Processing Techniques (17 papers), Topic Modeling (9 papers) and Text and Document Classification Technologies (5 papers). Hyuk‐Chul Kwon collaborates with scholars based in South Korea and United States. Hyuk‐Chul Kwon's co-authors include Sungwon Jung, Jung‐Hun Lee, Soonho Kwon, Jung-Hun Lee, Sang-Wook Kang, Qinghao Zhang, Hyun-Soo Choi, Yoojin Chung, Sungwoo Choi and Sunmin Lee and has published in prestigious journals such as IEEE Access, IEEE Transactions on Knowledge and Data Engineering and Applied Sciences.

In The Last Decade

Co-authorship network of co-authors of Hyuk‐Chul Kwon i

Fields of papers citing papers by Hyuk‐Chul Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyuk‐Chul Kwon. 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 Hyuk‐Chul Kwon. The network helps show where Hyuk‐Chul Kwon may publish in the future.

Countries citing papers authored by Hyuk‐Chul Kwon

Since Specialization
Citations

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