Eunji Jun

9 papers and 157 indexed citations i.

About

Eunji Jun is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Health Information Management. According to data from OpenAlex, Eunji Jun has authored 9 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Health Information Management. Recurrent topics in Eunji Jun’s work include Machine Learning in Healthcare (5 papers), Artificial Intelligence in Healthcare (3 papers) and Functional Brain Connectivity Studies (2 papers). Eunji Jun is often cited by papers focused on Machine Learning in Healthcare (5 papers), Artificial Intelligence in Healthcare (3 papers) and Functional Brain Connectivity Studies (2 papers). Eunji Jun collaborates with scholars based in South Korea. Eunji Jun's co-authors include Heung‐Il Suk, Byung‐Joo Ham, Kyoung‐Sae Na, Wooyoung Kang and Junho Yim and has published in prestigious journals such as NeuroImage, Human Brain Mapping and IEEE Transactions on Cybernetics.

In The Last Decade

Co-authorship network of co-authors of Eunji Jun i

Fields of papers citing papers by Eunji Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eunji Jun

Since Specialization
Citations

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