Eui-Young Cha

34 papers and 254 indexed citations i.

About

Eui-Young Cha is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Eui-Young Cha has authored 34 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 6 papers in Media Technology and 4 papers in Artificial Intelligence. Recurrent topics in Eui-Young Cha’s work include Handwritten Text Recognition Techniques (5 papers), Face recognition and analysis (5 papers) and Face and Expression Recognition (4 papers). Eui-Young Cha is often cited by papers focused on Handwritten Text Recognition Techniques (5 papers), Face recognition and analysis (5 papers) and Face and Expression Recognition (4 papers). Eui-Young Cha collaborates with scholars based in South Korea. Eui-Young Cha's co-authors include Yunsick Sung, Tae‐Soo Chon, Kwang-Baek Kim, Ihn‐Sil Kwak, Chunlin Jin, Jaeyeon Lee, Dohyung Kim, Hosub Yoon, Byongjo Yun and Dohyeon Kim and has published in prestigious journals such as Ecological Modelling, Applied Sciences and Neural Computing and Applications.

In The Last Decade

Co-authorship network of co-authors of Eui-Young Cha i

Fields of papers citing papers by Eui-Young Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eui-Young Cha

Since Specialization
Citations

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