Jiyeon Ham

5 papers and 260 indexed citations i.

About

Jiyeon Ham is a scholar working on Artificial Intelligence, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Jiyeon Ham has authored 5 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Materials Chemistry. Recurrent topics in Jiyeon Ham’s work include Topic Modeling (4 papers), Speech and dialogue systems (3 papers) and Natural Language Processing Techniques (3 papers). Jiyeon Ham is often cited by papers focused on Topic Modeling (4 papers), Speech and dialogue systems (3 papers) and Natural Language Processing Techniques (3 papers). Jiyeon Ham collaborates with scholars based in South Korea. Jiyeon Ham's co-authors include Yo Joong Choe, Seongok Ryu, Woo Youn Kim, Jaechang Lim, Kee-Eung Kim and Youngjae Chang and has published in prestigious journals such as Journal of Chemical Information and Modeling, IEEE/ACM Transactions on Audio Speech and Language Processing and Computer Speech & Language.

In The Last Decade

Co-authorship network of co-authors of Jiyeon Ham i

Fields of papers citing papers by Jiyeon Ham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jiyeon Ham

Since Specialization
Citations

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