Jayun Kim
Environmental Science · The Ohio State University
Publications
19
Citations
148
Est. group size
—
Recurring co-author estimate
Active years
6
Publishing since 2021
Jayun Kim's research focuses on environmental water and air quality issues in South Korea, including predicting harmful cyanobacterial (algal) blooms in lakes and rivers using machine learning, and assessing human health risks from air pollutants such as particulate matter, microplastics, and dust-borne contaminants. The work combines environmental monitoring data with statistical and machine-learning models to understand and forecast environmental hazards affecting public health.
Publication output has grown from no listed outputs before 2021 to a steady increase, reaching about 5 publications per year in 2024 and 2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Key drivers of microcystin-producing cyanobacteria in South Korean eutrophic waters determined with data-driven models
Journal of Environmental Management · 2025
- Development and Validation of Parental Self‐Efficacy Scale for Dietary Management of Children with Food Allergies
Pediatric Allergy and Immunology · 2025
- Author response for "Development and Validation of Parental Self‐Efficacy Scale for Dietary Management of Children with Food Allergies"
2025
- Optimal data pooling from multiple waterbodies to improve machine-learning predictions of cyanobacterial blooms
Journal of Contaminant Hydrology · 2025
- PM10-bound microplastics and trace metals: A public health insight from the Korean subway and indoor environments
Journal of Hazardous Materials · 2024
- Detection and infectivity of SARS-CoV-2 in Korean municipal wastewater facilities and characterization of environmental factors influencing wastewater-bound SARS-CoV-2
Environmental Science Water Research & Technology · 2024
- Development and validation of Parental Self-Efficacy Scale for Dietary Management of Children with Food Allergies
2024
- Application of the Clustering Approach to Predict Cyanobacterial Blooms at a National Scale by Compiling Multi-Region Data
SSRN Electronic Journal · 2024
- Author response for "Development and Validation of Parental Self‐Efficacy Scale for Dietary Management of Children with Food Allergies"
2024
- Adverse impacts of Asian dust events on human health and the environment—A probabilistic risk assessment study on particulate matter-bound metals and bacteria in Seoul, South Korea
The Science of The Total Environment · 2023
- Self-optimization of training dataset improves forecasting of cyanobacterial bloom by machine learning
The Science of The Total Environment · 2023
- Predicting Dominance of Toxic-Producing Cyanobacteria Genus by Machine Learning in a Eutrophic River in South Korea
2023
- Commuters health risk associated with particulate matter exposures in subway system – Globally
Building and Environment · 2022
- Polycyclic Aromatic Hydrocarbons in Soil and Human Health Risk Levels for Various Land-Use Areas in Ulsan, South Korea
Frontiers in Environmental Science · 2022
- Self-Optimization of Training Dataset Improves Forecasting of Cyanobacterial Bloom by Machine Learning
SSRN Electronic Journal · 2022
- The Science of The Total Environment×2
- Frontiers in Environmental Science×2
- SSRN Electronic Journal×2
- Building and Environment×1
- Journal of Hazardous Materials×1
- Jiyoung Lee
Environmental Science · The Ohio State University
- Keara Stanislawczyk
Environmental Science · The Ohio State University
- Justin D. Chaffin
Environmental Science · The Ohio State University
- Seungjun Lee
Environmental Science · The Ohio State University
- Catriona L. C. Jones
Environmental Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
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