Young-Sook Hwang

11 papers and 117 indexed citations i.

About

Young-Sook Hwang is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Young-Sook Hwang has authored 11 papers receiving a total of 117 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 3 papers in Molecular Biology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Young-Sook Hwang’s work include Topic Modeling (10 papers), Natural Language Processing Techniques (10 papers) and Speech and dialogue systems (4 papers). Young-Sook Hwang is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (10 papers) and Speech and dialogue systems (4 papers). Young-Sook Hwang collaborates with scholars based in South Korea, Japan and China. Young-Sook Hwang's co-authors include Hae‐Chang Rim, Seonho Kim, Shouxun Lin, Yang Liu, Yutaka Sasaki, Zhaopeng Tu, Michael Paul, Kenji Imamura, Xinyan Xiao and Kyung-Mi Park and has published in prestigious journals such as Journal of Biomedical Informatics, Computer Speech & Language and ETRI Journal.

In The Last Decade

Co-authorship network of co-authors of Young-Sook Hwang i

Fields of papers citing papers by Young-Sook Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Young-Sook Hwang

Since Specialization
Citations

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