Yeojin Jung Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Dean's Lists for the spring 2025 s
Arkansas State University
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Biography and Research Information
OverviewAI-generated summary
Yeojin Jung's research focuses on the application of machine learning techniques to address challenges in microbiology and public health. Her recent work investigates methods for improving the prediction of antimicrobial resistance (AMR) phenotypes in bacteria, particularly for strains not previously encountered in training datasets. This involves exploring data augmentation strategies and advanced machine learning models to enhance predictive accuracy. Jung's scholarly contributions are reflected in her h-index of 2, with 5 total publications and 8 citations. She has collaborated with fellow researchers at Arkansas State University, including Namkyeong Kim and Donghoon Kim, co-authoring one publication with each. Jung is actively engaged in research, as indicated by her recent 2025 publication.
Metrics
- h-index: 2
- Publications: 5
- Citations: 8
Selected Publications
- Improving Antimicrobial Resistance (AMR) Phenotype Prediction for Unseen Bacteria through Data Augmentation and Machine Learning (2025) DOI
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