Oyeon Kwon

10 papers and 655 indexed citations i.

About

Oyeon Kwon is a scholar working on Artificial Intelligence, Epidemiology and Emergency Medicine. According to data from OpenAlex, Oyeon Kwon has authored 10 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Epidemiology and 4 papers in Emergency Medicine. Recurrent topics in Oyeon Kwon’s work include Sepsis Diagnosis and Treatment (5 papers), Machine Learning in Healthcare (4 papers) and Emergency and Acute Care Studies (3 papers). Oyeon Kwon is often cited by papers focused on Sepsis Diagnosis and Treatment (5 papers), Machine Learning in Healthcare (4 papers) and Emergency and Acute Care Studies (3 papers). Oyeon Kwon collaborates with scholars based in South Korea, Kazakhstan and Singapore. Oyeon Kwon's co-authors include Min-Ho Lee, Seong‐Whan Lee, Cuntai Guan, Siamac Fazli, Young-Eun Lee, John Williamson, Yeha Lee, Hwa Jin Cho, Hyunho Park and Joon‐myoung Kwon and has published in prestigious journals such as Critical Care Medicine, IEEE Transactions on Neural Networks and Learning Systems and Resuscitation.

In The Last Decade

Co-authorship network of co-authors of Oyeon Kwon i

Fields of papers citing papers by Oyeon Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Oyeon Kwon

Since Specialization
Citations

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