| An interpretable machine learning method for supporting ecosystem management: Application to species distribution models of freshwater macroinvertebrates YK Cha, J Shin, BG Go, DS Lee, YW Kim, TH Kim, YS Park Journal of Environmental Management 291, 112719, 2021 | 76 | 2021 |
| Effects of class imbalance on resampling and ensemble learning for improved prediction of cyanobacteria blooms J Shin, S Yoon, YW Kim, T Kim, BG Go, YK Cha Ecological informatics 61, 101202, 2021 | 49 | 2021 |
| Validity evaluation of a machine-learning model for chlorophyll a retrieval using Sentinel-2 from inland and coastal waters YW Kim, TH Kim, J Shin, DS Lee, YS Park, Y Kim, YK Cha Ecological Indicators 137, 108737, 2022 | 46 | 2022 |
| Simultaneous feature engineering and interpretation: Forecasting harmful algal blooms using a deep learning approach TH Kim, J Shin, DY Lee, YW Kim, E Na, JH Park, C Lim, YK Cha Water Research 215, 118289, 2022 | 39 | 2022 |
| Forecasting abrupt depletion of dissolved oxygen in urban streams using discontinuously measured hourly time‐series data YW Kim, TH Kim, J Shin, BG Go, M Lee, JH Lee, J Koo, KH Cho, YK Cha Water Resources Research, e2020WR029188, 2021 | 38 | 2021 |
| Assessing Land-Cover Effects on Stream Water Quality in Metropolitan Areas Using the Water Quality Index TH Kim, YW Kim, J Shin, BG Go, YK Cha Water 12 (11), 3294, 2020 | 14 | 2020 |
| Deep learning-based efficient drone-borne sensing of cyanobacterial blooms using a clique-based feature extraction approach J Shin, G Lee, TH Kim, KH Cho, SM Hong, DH Kwon, JC Pyo, YK Cha Science of The Total Environment 912, 169540, 2024 | 10 | 2024 |
| Machine learning-guided prediction of potential engineering targets for microbial production of lycopene CK Kang, J Shin, YK Cha, MS Kim, MS Choi, TH Kim, YK Park, YJ Choi Bioresource Technology 369, 128455, 2023 | 10 | 2023 |
| Assessment of water quality of major tributaries in Seoul using water quality index and cluster analysis JH Lee, HJ Ha, MH Lee, MY Lee, TH Kim, YK Cha, JY Koo Journal of Korean Society of Environmental Engineers 42 (10), 452-462, 2020 | 7 | 2020 |
| Development of customized water quality index for medium-and long-term evaluation of urban river water quality JH Lee, JY Lee, YS Cha, SJ Cho, TH Kim, YK Cha, JY Koo Water Supply 22 (7), 6338-6355, 2022 | 6 | 2022 |
| Learning hierarchical Bayesian networks to assess the interaction effects of controlling factors on spatiotemporal patterns of fecal pollution in streams TH Kim, DY Lee, J Shin, YW Kim, YK Cha Science of the Total Environment 812, 152520, 2022 | 6 | 2022 |
| Machine learning and explainable AI for chlorophyll-a prediction in Namhan River Watershed, South Korea JW Han, TH Kim, S Lee, T Kang, JK Im Ecological Indicators 166, 112361, 2024 | 5 | 2024 |
| Incorporation of feature engineering and attention mechanisms into deep learning models to develop an early warning system for harmful algal blooms TH Kim, J Shin, YK Cha Journal of Cleaner Production 414, 137564, 2023 | 5 | 2023 |
| Hybrid model for daily streamflow and phosphorus load prediction DY Lee, J Shin, TH Kim, S Lee, D Kim, Y Park, YK Cha Water Science & Technology 88 (4), 975-990, 2023 | 3 | 2023 |
| Daily station-level records of air temperature, snow depth, and ground temperature in the Northern Hemisphere VN Tran, W Zhou, T Kim, V Mazepa, V Valdayskikh, VY Ivanov Scientific data 11 (1), 645, 2024 | 2 | 2024 |
| Pluvial flood impacts and policyholder responses throughout the United States B Nelson-Mercer, T Kim, VN Tran, V Ivanov npj Natural Hazards 2 (1), 8, 2025 | | 2025 |
| Variations of Net Radiation in High-Latitude Forest and Tundra T Kim, W Zhou, S Shiyatov, J Wang, AY Sheshukov, D Liu, V Mazepa, ... AGU Fall Meeting Abstracts 2023 (1252), C21C-1252, 2023 | | 2023 |
| 학습 기반 최적화 방법론을 이용한 서울시 도로변대기측정망 확장 김태호， 신지훈， 김영우， 이도연， 백주은， 이도윤， 차윤경 대한환경공학회지 45 (3), 148-160, 2023 | | 2023 |
| 계층적 베이지안 네트워크를 활용한 하천 분원성 오염 예측 모델 개발 김태호 서울시립대학교, 2021 | | 2021 |
| 수질지수와 군집분석을 활용한 서울시 주요 하천 수질평가 이진효， 하현주， 이만호， 이목영， 김태호， 차윤경， 구자용 대한환경공학회지 42 (10), 452-462, 2020 | | 2020 |
Yoon Kyung ChaUniversity of Seoul確認したメール アドレス: duke.edu