Young-Jun Kim

862 total citations
72 papers, 611 citations indexed

About

Young-Jun Kim is a scholar working on Molecular Biology, Artificial Intelligence and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Young-Jun Kim has authored 72 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 20 papers in Artificial Intelligence and 18 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Young-Jun Kim's work include Diverse Approaches in Healthcare and Education Studies (15 papers), Biomedical Text Mining and Ontologies (14 papers) and Topic Modeling (13 papers). Young-Jun Kim is often cited by papers focused on Diverse Approaches in Healthcare and Education Studies (15 papers), Biomedical Text Mining and Ontologies (14 papers) and Topic Modeling (13 papers). Young-Jun Kim collaborates with scholars based in United States and South Korea. Young-Jun Kim's co-authors include Stéphane M. Meystre, Ellen Riloff, Jennifer H. Garvin, Youngjae Shin, Hyejung Mok, John F. Hurdle, Andrew Redd, Carolyn D. Britten, Bruce E. Bray and Mary K. Goldstein and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Agricultural and Food Chemistry and IEEE Access.

In The Last Decade

Young-Jun Kim

61 papers receiving 584 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young-Jun Kim United States 15 254 212 72 41 39 72 611
Safdar Ali Pakistan 15 185 0.7× 150 0.7× 38 0.5× 17 0.4× 31 0.8× 37 613
Swati Tiwari India 7 375 1.5× 88 0.4× 42 0.6× 25 0.6× 15 0.4× 21 994
Sara Kiani Iran 13 220 0.9× 160 0.8× 48 0.7× 15 0.4× 11 0.3× 31 838
Qiang Wei China 13 374 1.5× 470 2.2× 83 1.2× 35 0.9× 20 0.5× 40 1.1k
Aga Maulana Indonesia 17 103 0.4× 118 0.6× 45 0.6× 13 0.3× 6 0.2× 55 666
Anthony Nguyen Australia 20 600 2.4× 693 3.3× 206 2.9× 65 1.6× 13 0.3× 111 1.3k
Andreas Karwath United Kingdom 17 258 1.0× 212 1.0× 19 0.3× 9 0.2× 74 1.9× 40 768
Yalda Yazdani Iran 12 196 0.8× 63 0.3× 17 0.2× 23 0.6× 11 0.3× 28 585
Katherine M. Collins United Kingdom 11 490 1.9× 106 0.5× 20 0.3× 14 0.3× 8 0.2× 21 854
Bonggun Shin United States 10 185 0.7× 212 1.0× 41 0.6× 14 0.3× 9 0.2× 14 763

Countries citing papers authored by Young-Jun Kim

Since Specialization
Citations

This map shows the geographic impact of Young-Jun Kim'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 Young-Jun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young-Jun Kim more than expected).

Fields of papers citing papers by Young-Jun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young-Jun Kim. 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 Young-Jun Kim. The network helps show where Young-Jun Kim may publish in the future.

Co-authorship network of co-authors of Young-Jun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Young-Jun Kim. A scholar is included among the top collaborators of Young-Jun Kim 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 Young-Jun Kim. Young-Jun Kim 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.
Kim, Young-Jun, et al.. (2024). Impact of product packaging messages on consumer perceptions and choice: The role of health claims and bonus pack promotions. Appetite. 200. 107555–107555. 1 indexed citations
2.
3.
Kim, Young-Jun, et al.. (2021). A Study on the Disaster Prevention Design Of School Zone. The Journal of the Korea Contents Association. 21(5). 868–876. 1 indexed citations
4.
Kim, Young-Jun, et al.. (2021). Exploring the Validity of Convergence between Qualifications and the Support System for Lifelong Education for the Disabled. The journal of the convergence on culture technology. 7(1). 82–91. 1 indexed citations
5.
Kim, Young-Jun, et al.. (2020). Research Trend Analysis on Living Lab Using Text Mining. Journal of Digital Convergence. 18(8). 37–48. 3 indexed citations
6.
Kim, Young-Jun & Stéphane M. Meystre. (2019). A Study of Medical Problem Extraction for Better Disease Management. Studies in health technology and informatics. 264. 193–197. 6 indexed citations
7.
Meystre, Stéphane M., et al.. (2019). Automatic trial eligibility surveillance based on unstructured clinical data. International Journal of Medical Informatics. 129. 13–19. 44 indexed citations
8.
Garvin, Jennifer H., Young-Jun Kim, Glenn T. Gobbel, et al.. (2018). Automating Quality Measures for Heart Failure Using Natural Language Processing: A Descriptive Study in the Department of Veterans Affairs. JMIR Medical Informatics. 6(1). e5–e5. 28 indexed citations
9.
Han, Seonggyun, Dongwook Kim, Young-Jun Kim, et al.. (2018). CAS-viewer: web-based tool for splicing-guided integrative analysis of multi-omics cancer data. BMC Medical Genomics. 11(S2). 25–25. 9 indexed citations
10.
11.
Kim, Young-Jun, Jennifer H. Garvin, Mary K. Goldstein, et al.. (2017). Extraction of left ventricular ejection fraction information from various types of clinical reports. Journal of Biomedical Informatics. 67. 42–48. 22 indexed citations
12.
Meystre, Stéphane M., Young-Jun Kim, Andrew Redd, & Jennifer H. Garvin. (2014). Congestive Heart Failure Information Extraction Framework (CHIEF) Evaluation.. AMIA. 2 indexed citations
13.
Kim, Young-Jun, et al.. (2014). A Study on Application of Subject Matters Education for Independence and Adult Life of Students with Developmental Disabilities. Journal of Emotional and Behavioral Disorders. 30(2). 143–179. 1 indexed citations
14.
Kim, Young-Jun, et al.. (2013). A Case of Leiomyoma in the Inferior Turbinate. Journal of rhinology. 20(2). 133–135. 1 indexed citations
15.
Shanta, Selina Rahman, Young-Jun Kim, Young Hwan Kim, & Kwang Pyo Kim. (2011). Application of MALDI Tissue Imaging of Drugs and Metabolites: A New Frontier for Molecular Histology. Biomolecules & Therapeutics. 19(2). 149–154. 7 indexed citations
16.
Kim, Young-Jun, Ellen Riloff, & Stéphane M. Meystre. (2011). Improving Classification of Medical Assertions in Clinical Notes. Meeting of the Association for Computational Linguistics. 311–316. 5 indexed citations
17.
Kim, Young-Jun, Ellen Riloff, & Nathan Gilbert. (2011). The Taming of Reconcile as a Biomedical Coreference Resolver. Meeting of the Association for Computational Linguistics. 89–93. 19 indexed citations
18.
Kim, Young-Jun, et al.. (2008). The Effectiveness of Age Estimation Method by Occlusal Tooth Wear in Temporomandibular Disorder(TMD) Patients. Journal of oral medicine. 33(3). 269–277. 3 indexed citations
19.
Lee, Insung, et al.. (2008). DWLT compression method based on MSVQ for a real-time ECG monitoring system in WSNs. 1–1. 4 indexed citations
20.
Jang, Ki‐Hyo, Eun-Kyung Jang, Seung‐Whan Kim, et al.. (2006). High-Level Production of Low-Branched Levan from Pseudomonas aurantiaca S-4380 for the Production of di-β-D-Fructofuranose Dianhydride IV. Journal of Microbiology and Biotechnology. 16(1). 102–108. 8 indexed citations

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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