Min‐Jeoung Kang

584 total citations
29 papers, 361 citations indexed

About

Min‐Jeoung Kang is a scholar working on Health Information Management, Issues, ethics and legal aspects and Artificial Intelligence. According to data from OpenAlex, Min‐Jeoung Kang has authored 29 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Health Information Management, 8 papers in Issues, ethics and legal aspects and 8 papers in Artificial Intelligence. 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, David J. Albers 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 JAMA Network Open.

In The Last Decade

Min‐Jeoung Kang

25 papers receiving 347 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Min‐Jeoung Kang United States 11 104 98 92 80 58 29 361
Kumiko O. Schnock United States 14 93 0.9× 144 1.5× 82 0.9× 65 0.8× 98 1.7× 38 557
Sridevi Sridharan United States 13 85 0.8× 74 0.8× 74 0.8× 43 0.5× 25 0.4× 38 440
Alvin D. Jeffery United States 9 49 0.5× 47 0.5× 28 0.3× 40 0.5× 24 0.4× 38 247
Jonathan Austrian United States 14 75 0.7× 94 1.0× 64 0.7× 10 0.1× 65 1.1× 25 532
Sarah Corley United States 8 43 0.4× 162 1.7× 34 0.4× 30 0.4× 11 0.2× 11 412
Lorenzo Bertizzolo France 8 54 0.5× 133 1.4× 37 0.4× 12 0.1× 6 0.1× 11 332
Thomas Bice United States 10 52 0.5× 117 1.2× 16 0.2× 7 0.1× 38 0.7× 22 381
Shaun T Alfreds United States 8 117 1.1× 101 1.0× 134 1.5× 4 0.1× 67 1.2× 12 455
Kevin Heard United States 10 253 2.4× 49 0.5× 85 0.9× 13 0.2× 121 2.1× 22 522
Nancy Gentry United States 3 67 0.6× 85 0.9× 103 1.1× 5 0.1× 19 0.3× 4 421

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Min‐Jeoung Kang. A scholar is included among the top collaborators of Min‐Jeoung Kang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Min‐Jeoung Kang. Min‐Jeoung Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kang, Min‐Jeoung, Richard Schreiber, Frank Chang, et al.. (2025). Delayed Venous Thromboembolism Diagnosis and Mortality Risk. JAMA Network Open. 8(9). e2533928–e2533928.
2.
Yoo, Junsang, Soo-Yong Shin, Patricia C. Dykes, et al.. (2024). The potential for drug incompatibility and its drivers − A hospital wide retrospective descriptive study. International Journal of Medical Informatics. 191. 105584–105584.
3.
Song, Wenyu, Nancy K. Latham, Luwei Liu, et al.. (2024). Improved accuracy and efficiency of primary care fall risk screening of older adults using a machine learning approach. Journal of the American Geriatrics Society. 72(4). 1145–1154. 7 indexed citations
4.
Kang, Min‐Jeoung, Sarah Collins Rossetti, Li Zhou, et al.. (2024). Designing and testing clinical simulations of an early warning system for implementation in acute care settings. JAMIA Open. 7(4). ooae092–ooae092.
5.
Park, Soo‐Kyung, Junsang Yoo, Pamela B. DeGuzman, et al.. (2024). Quantifying emergency department nursing workload at the task level using NASA-TLX: An exploratory descriptive study. International Emergency Nursing. 74. 101424–101424. 6 indexed citations
6.
Song, Jiyoun, Kathryn H. Bowles, Margaret V. McDonald, et al.. (2022). Detecting Language Associated With Home Healthcare Patient’s Risk for Hospitalization and Emergency Department Visit. Nursing Research. 71(4). 285–294. 29 indexed citations
7.
Song, Wenyu, Linying Zhang, Luwei Liu, et al.. (2022). Predicting hospitalization of COVID-19 positive patients using clinician-guided machine learning methods. Journal of the American Medical Informatics Association. 29(10). 1661–1667. 12 indexed citations
8.
Rossetti, Sarah Collins, Patricia C. Dykes, Min‐Jeoung Kang, et al.. (2021). The Communicating Narrative Concerns Entered by Registered Nurses (CONCERN) Clinical Decision Support Early Warning System: Protocol for a Cluster Randomized Pragmatic Clinical Trial. JMIR Research Protocols. 10(12). e30238–e30238. 15 indexed citations
9.
Kang, Min‐Jeoung, Sarah Collins Rossetti, Frank Chang, et al.. (2021). Nursing Documentation Variation Across Different Medical Facilities Within an Integrated Healthcare System. CIN Computers Informatics Nursing. 39(12). 845–850. 8 indexed citations
10.
Cato, Kenrick, Adler Perotte, Min‐Jeoung Kang, et al.. (2021). Utilizing timestamps of longitudinal electronic health record data to classify clinical deterioration events. Journal of the American Medical Informatics Association. 28(9). 1955–1963. 8 indexed citations
11.
Plasek, Joseph M., Chunlei Tang, Zhikun Zhang, et al.. (2021). Embedding, aligning and reconstructing clinical notes to explore sepsis. BMC Research Notes. 14(1). 136–136. 1 indexed citations
12.
Schwartz, Jessica, Amanda J Moy, Min‐Jeoung Kang, et al.. (2020). Development and validation of early warning score system: A systematic literature review. Journal of Biomedical Informatics. 105. 103410–103410. 54 indexed citations
13.
Korach, Zfania Tom, Jie Yang, Sarah Collins Rossetti, et al.. (2019). Mining clinical phrases from nursing notes to discover risk factors of patient deterioration. International Journal of Medical Informatics. 135. 104053–104053. 25 indexed citations
14.
Collins, Sarah, Kenrick Cato, Suzanne Bakken, et al.. (2019). CONCERN Factorial Design Survey (FDS) Methods Test: Using REDCap as a Survey Platform. Studies in health technology and informatics. 264. 1462–1463.
15.
Kang, Min‐Jeoung, Patricia C. Dykes, Li Zhou, et al.. (2019). Identifying nurses’ concern concepts about patient deterioration using a standard nursing terminology. International Journal of Medical Informatics. 133. 104016–104016. 16 indexed citations
16.
Kang, Min‐Jeoung, et al.. (2017). Automated Medication Error Risk Assessment System (Auto-MERAS). Journal of Nursing Care Quality. 33(1). 86–93. 6 indexed citations
17.
Kang, Min‐Jeoung, et al.. (2015). Stakeholder Analysis for Adopting a Personal Health Record Standard in Korea. Health Information Management Journal. 44(2). 33–42. 5 indexed citations
18.
Kang, Min‐Jeoung, et al.. (2015). Appropriateness of ICNP in Korean home care nursing. International Journal of Medical Informatics. 84(9). 667–674. 8 indexed citations
19.
Choi, Yuri, et al.. (2014). Comparison of Validity of Mapping between Drug Indications and ICD-10. Methods of Information in Medicine. 53(3). 195–201. 6 indexed citations
20.

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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