Tae Joon Jun

35 papers and 259 indexed citations i.

About

Tae Joon Jun is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Tae Joon Jun has authored 35 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 14 papers in Cardiology and Cardiovascular Medicine and 7 papers in Surgery. Recurrent topics in Tae Joon Jun’s work include Machine Learning in Healthcare (9 papers), Lipoproteins and Cardiovascular Health (5 papers) and ECG Monitoring and Analysis (5 papers). Tae Joon Jun is often cited by papers focused on Machine Learning in Healthcare (9 papers), Lipoproteins and Cardiovascular Health (5 papers) and ECG Monitoring and Analysis (5 papers). Tae Joon Jun collaborates with scholars based in South Korea, United Kingdom and United States. Tae Joon Jun's co-authors include Young‐Hak Kim, Daeyoung Kim, Jihoon Kweon, Minh H. Nguyen, Youngsub Eom, Do‐Hyeun Kim, Cherry Kim, Yunha Kim, Hee Jun Kang and Wonjun Na and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Tae Joon Jun i

Fields of papers citing papers by Tae Joon Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tae Joon Jun

Since Specialization
Citations

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