Min‐Jeoung Kang

27 papers and 297 indexed citations i.

About

Min‐Jeoung Kang is a scholar working on Health Information Management, Artificial Intelligence and Issues, ethics and legal aspects. According to data from OpenAlex, Min‐Jeoung Kang has authored 27 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Health Information Management, 8 papers in Artificial Intelligence and 8 papers in Issues, ethics and legal aspects. Recurrent topics in Min‐Jeoung Kang’s work include Electronic Health Records Systems (12 papers), Nursing Diagnosis and Documentation (8 papers) and Machine Learning in Healthcare (6 papers). Min‐Jeoung Kang is often cited by papers focused on Electronic Health Records Systems (12 papers), Nursing Diagnosis and Documentation (8 papers) and Machine Learning in Healthcare (6 papers). Min‐Jeoung Kang collaborates with scholars based in United States, South Korea and China. Min‐Jeoung Kang's co-authors include Patricia C. Dykes, Kenrick Cato, Kumiko O. Schnock, Sarah Collins Rossetti, José P. Garcia, Jessica Schwartz, Haomiao Jia, Jiyoun Song, Linying Zhang and Frank Chang and has published in prestigious journals such as Journal of the American Geriatrics Society, Journal of the American Medical Informatics Association and Nursing Research.

In The Last Decade

Co-authorship network of co-authors of Min‐Jeoung Kang i

Fields of papers citing papers by Min‐Jeoung Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min‐Jeoung Kang. 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 Min‐Jeoung Kang. The network helps show where Min‐Jeoung Kang may publish in the future.

Countries citing papers authored by Min‐Jeoung Kang

Since Specialization
Citations

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