Seung-won Hwang

19 papers and 183 indexed citations i.

About

Seung-won Hwang is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Seung-won Hwang has authored 19 papers receiving a total of 183 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Signal Processing. Recurrent topics in Seung-won Hwang’s work include Topic Modeling (12 papers), Natural Language Processing Techniques (8 papers) and Text and Document Classification Technologies (4 papers). Seung-won Hwang is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (8 papers) and Text and Document Classification Technologies (4 papers). Seung-won Hwang collaborates with scholars based in South Korea, China and Hong Kong. Seung-won Hwang's co-authors include Reinald Kim Amplayo, Jongwuk Lee, Haixun Wang, Dongwon Lee, Bill Yuchen Lin, Kenny Q. Zhu, Tae‐Sung Lee, Zhongyuan Wang, Frank F. Xu and Yi Zhang and has published in prestigious journals such as Information Sciences, IEEE Transactions on Knowledge and Data Engineering and Transactions of the Association for Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Seung-won Hwang i

Fields of papers citing papers by Seung-won Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seung-won Hwang. 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 Seung-won Hwang. The network helps show where Seung-won Hwang may publish in the future.

Countries citing papers authored by Seung-won Hwang

Since Specialization
Citations

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