Yong-Jin Kim

Researcher

Last publication 2025 Last refreshed 2026-04-04

faculty

14 h-index 51 pubs 576 cited

Biography and Research Information

OverviewAI-generated summary

Yong-Jin Kim's research investigates the application of advanced computational techniques, including machine learning and deep learning, to address complex biological and medical questions. His work spans diverse areas such as early cancer detection through the integration of multi-omic data, including cell-free DNA methylation, copy number alterations, and fragmentation patterns. He has also explored the use of generative adversarial networks for analyzing early molecular alterations in tauopathy and has investigated transcriptome-based deep learning to identify potential drug candidates for muscle wasting disorders. Other research interests include the prognostic utility of PET imaging in cardiac amyloidosis, network analysis of cardiac remodeling, and the study of microbial communities, specifically analyzing CRISPR locus spacers in Escherichia coli from animal and human feces. Kim has published 51 papers, accumulating 576 citations with an h-index of 14. He has collaborated with several colleagues at Hendrix College, including Dongje Lee, Hanguen Kim, Jin‐Bum Park, and Jaeseong Koh.

Metrics

  • h-index: 14
  • Publications: 51
  • Citations: 576

Selected Publications

  • MOANA: Multi-radar dataset for maritime odometry and autonomous navigation application (2025)
    3 citations DOI OpenAlex

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Collaboration Network

128 Collaborators 39 Institutions 8 Countries

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