Hye Jin Kam

15 papers and 328 indexed citations i.

About

Hye Jin Kam is a scholar working on Health Information Management, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Hye Jin Kam has authored 15 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Health Information Management, 5 papers in Artificial Intelligence and 3 papers in Molecular Biology. Recurrent topics in Hye Jin Kam’s work include Electronic Health Records Systems (4 papers), Biomedical Text Mining and Ontologies (3 papers) and Attention Deficit Hyperactivity Disorder (2 papers). Hye Jin Kam is often cited by papers focused on Electronic Health Records Systems (4 papers), Biomedical Text Mining and Ontologies (3 papers) and Attention Deficit Hyperactivity Disorder (2 papers). Hye Jin Kam collaborates with scholars based in South Korea and United States. Hye Jin Kam's co-authors include Ha Young Kim, Rae Woong Park, Ki‐Young Lee, Youngho Lee, Yunmi Shin, Sun-Mi Cho, Woojae Kim, Man Young Park, Sukhyang Lee and Ju Han Kim and has published in prestigious journals such as Journal of Medical Internet Research, Journal of the American Medical Informatics Association and Computers in Biology and Medicine.

In The Last Decade

Co-authorship network of co-authors of Hye Jin Kam i

Fields of papers citing papers by Hye Jin Kam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hye Jin Kam. 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 Hye Jin Kam. The network helps show where Hye Jin Kam may publish in the future.

Countries citing papers authored by Hye Jin Kam

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025