Eunah Cho

30 papers and 348 indexed citations i.

About

Eunah Cho is a scholar working on Artificial Intelligence, Organic Chemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, Eunah Cho has authored 30 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 1 paper in Organic Chemistry and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Eunah Cho’s work include Natural Language Processing Techniques (26 papers), Topic Modeling (26 papers) and Speech and dialogue systems (14 papers). Eunah Cho is often cited by papers focused on Natural Language Processing Techniques (26 papers), Topic Modeling (26 papers) and Speech and dialogue systems (14 papers). Eunah Cho collaborates with scholars based in Germany, United States and France. Eunah Cho's co-authors include Jan Niehues, Alex Waibel, Varun Kumar, Thanh-Le Ha, Kevin Kilgour, Teresa Herrmann, Matthias Sperber, Markus Müller, Thai‐Son Nguyen and Sebastian Stüker and has published in prestigious journals such as Language Resources and Evaluation, RWTH Publications (RWTH Aachen) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Eunah Cho i

Fields of papers citing papers by Eunah Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eunah Cho

Since Specialization
Citations

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