TaeHo Kim
Environmental Science · University of Michigan
Publications
21
Citations
444
Est. group size
—
Recurring co-author estimate
Active years
22
Publishing since 2004
Typically publishes in teams of ~7 · 12% small-team papers (≤3 authors) · across 15 venues
- Long-term spatiotemporal variability and regime classification of Chlorophyll-a concentrations in Lake Erie using satellite products
Harmful Algae · 2025
- RNA-Seq-based investigation of interferon-mediated antiviral activity of chlorophyll a from Tetraselmis sp.
PubMed · 2025
- RNA-Seq-based investigation of interferon-mediated antiviral activity of chlorophyll a from Tetraselmis sp.
Leibniz-Institut für Arbeitsforschung an der TU Dortmund (IfADo) · 2025
- Machine learning and explainable AI for chlorophyll-a prediction in Namhan River Watershed, South Korea
Ecological Indicators · 2024
- Deep learning-based efficient drone-borne sensing of cyanobacterial blooms using a clique-based feature extraction approach
The Science of The Total Environment · 2023
- Hybrid model for daily streamflow and phosphorus load prediction
Water Science & Technology · 2023
- Incorporation of feature engineering and attention mechanisms into deep learning models to develop an early warning system for harmful algal blooms
Journal of Cleaner Production · 2023
- Expansion of Roadside Air Pollution Monitoring Network in Seoul using Learning-based Optimization Method
Journal of Korean Society of Environmental Engineers · 2023
- Validity evaluation of a machine-learning model for chlorophyll a retrieval using Sentinel-2 from inland and coastal waters
Ecological Indicators · 2022
- Simultaneous feature engineering and interpretation: Forecasting harmful algal blooms using a deep learning approach
Water Research · 2022
- Machine learning-guided prediction of potential engineering targets for microbial production of lycopene
Bioresource Technology · 2022
- Development of customized water quality index for medium- and long-term evaluation of urban river water quality
Water Science & Technology Water Supply · 2022
- An interpretable machine learning method for supporting ecosystem management: Application to species distribution models of freshwater macroinvertebrates
Journal of Environmental Management · 2021
- Forecasting Abrupt Depletion of Dissolved Oxygen in Urban Streams Using Discontinuously Measured Hourly Time‐Series Data
Water Resources Research · 2021
- Learning hierarchical Bayesian networks to assess the interaction effects of controlling factors on spatiotemporal patterns of fecal pollution in streams
The Science of The Total Environment · 2021
- Ecological Indicators×2
- The Science of The Total Environment×2
- Journal of Environmental Management×1
- Water Research×1
- Water Resources Research×1
- Xiaofeng Liu
Environmental Science · University of Michigan
- K. P. Sudheer
Environmental Science · Purdue University West Lafayette
- Vinh Ngoc Tran
Environmental Science · University of Michigan
- D. Nagesh Kumar
Environmental Science · Purdue University West Lafayette
- Jing Su
Environmental Science · Indiana University
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 25, 2026.
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