30. Heewon Jeong, Steven Berg, Graham Stonebridge, Kang-Kun Lee,  Kyung Hwa Cho, Hyoun-Tae Hwang*, "Hydrodynamic-guided deep learning for three-dimensional spatiotemporal prediction of subsurface contaminant migration", Under Review  

29. Jaehoon Yeom, Minji Kim, Sang Don Kim, Heewon Jeong*, Kyung Hwa Cho*, "Enhancing Mechanistic Interpretability of Multispecies Aquatic Toxicity Prediction Through Feature-Wise Conditioning Fusion in Multimodal Graph Neural Networks", Water Research, Revision

28. Jaehoon Yeom, Heewon Jeong, Do Hyuck Kwon, Kyunghwa Cho*, Sang Don Kim*, "Synergistic Ecological Disruption from Livestock Wastewater and Phenol Co-exposure Revealed by AQUATOX Multi-Pollutant Simulation", Environmental Science & Ecotechnology, Under Review

25. Jaehoon Yeom1, Heewon Jeong1, Sejin Son, Yong Ju Lee, Kyung Yeon Kim, Sang Don Kim, Junho Jeon, Kyung Hwa Cho*, "Graph neural network-based prediction and interpretation of Daphnia toxicity using distinct scale molecular representations", Water Research (2026), 297, 125676 (JCR Rank 1.5%, IF: 12.4) 

24. Sejin Son1, Heewon Jeong1, Jaehoon Yeom, Sun-Hwa Nam, Youn-Joo An*, Kyung Hwa Cho*, "Multimodal-based Crystal Graph Convolution Neural Networks for Predicting Soil Toxicity to Earthworms", Environmental Research (2026), 294, 123770 (JCR Rank 4.3%, IF: 7.7) 

23. Minkyeong Seong, Hyo Gyeom Kim, Byeongchan Yun, Minjeong Kim, Jung-Woo Kim, Heewon Jeong, Soobin Kim, Jin Hwi Kim*, Kyung Hwa Cho*, "Hybrid Deep Learning–Numerical Modeling Framework for Long-Term Prediction of Groundwater Discharge and Radionuclide Transport", Journal of Hazardous Materials (2026), 504, 141346 (JCR Rank 5.1%, IF: 11.3) 

21. Hyo Gyeom Kim1, Byung-Moon Jun1, Heewon Jeong, Yeomin Yoon*, Kyung Hwa Cho*, "Machine learning-based optimization and interpretation of the adsorption capacities of metal-organic frameworks for endocrine-disrupting compounds", Journal of Water Process Engineering (2025), 80, 109105 (JCR Rank 6.8%, IF: 6.7) 

20. Heewon Jeong1, Byung-Moon Jun1, Hyo Gyeom Kim, Yeomin Yoon*, Kyung Hwa Cho*, "Hierarchical Machine Learning-based Prediction for Ultrasonic Degradation of Organic Pollutants using Sonocatalysts", Environmental Research (2025), 285(3), 122500 (JCR Rank 4.3%, IF: 7.7) 

19. Dae Seong Jeong1, Jinuk Lee1, JongCheol Pyo, Sang-Soo Baek, Heewon Jeong, Mi-Seon Jeong, Hyungjoo Yoon, Kyung Hwa Cho*, "Predicting Radionuclide Behavior in Deep Geological Repositories Using Graph Convolutional Long Short-Term Memory", Journal of Hazardous Materials (2025), 496, 139195 (JCR Rank 5.1%, IF: 11.3) 

18. Jeongwoo Moon, Jaegwan Shin, Heewon Jeong, Do Hyuck Kwon, Jaegyu Shim, Changgil Son, Kangmin Chon*, Kyung Hwa Cho*, "Few-shot learning to predict nitrate and phosphate adsorption capacity of biochar: A cost-effective and innovative approach", Journal of Water Process Engineering (2025), 77, 108469 (JCR Rank 6.8%, IF: 6.7) 

17. Heewon Jeong1, Jong-Soo Choi1, Jeongwoo Moon, Yeomin Yoon*, Kyung Hwa Cho*, "Multimodal deep learning-based prediction of activated carbon adsorption capacities for volatile organic compound removal", Journal of Cleaner Production (2025), 519, 145999 (JCR Rank 6.9%, IF: 10.0) 

16. Kritnipit Phetanan, Do Hyuck Kwon, Jinmyeong Lee, Heewon Jeong, Gibeom Nam, Euiho Hwang, JongCheol Pyo*, Kyung Hwa Cho*, "SAR remote sensing for monitoring harmful algal blooms using deep learning models", GIScience & Remote Sensing (2025), 62(1), 2524202 (JCR Rank 6.0%, IF: 6.9) 

15. Jinmyeong Lee, Do Hyuck Kwon, Heewon Jeong, Gibeom Nam, Euiho Hwang, Jin Hwi Kim, Kyung Hwa Cho*, Hyo Gyeom Kim*, "Improving chlorophyll-a estimation using Sentinel-2 data: a comparative analysis of augmented datasets", GIScience & Remote Sensing (2025), 62(1), 2496551 (JCR Rank 6.0%, IF: 6.9) 

14. Do Hyuck Kwon1, Min Jun Lee1, Heewon Jeong, Sanghun Park*, Kyung Hwa Cho*, "Multi-modal learning-based algae phyla identification using image and particle modalities", Water Research (2025), 275, 123172 (JCR Rank 1.5%, IF: 12.4) 

12. Heewon Jeong, Ather Abbas, Hyo Gyeom Kim, Hoang Van Hoan, Pham Van Tuan, Phan Thang Long, Eunhee Lee*, Kyung Hwa Cho*, "Spatial prediction of groundwater salinity in multiple aquifers of the Mekong Delta region using explainable machine learning models", Water Research (2024), 266, 122404 (JCR Rank 1.5%, IF: 12.4) 

11. Hyo Gyeom Kim, Eun-Young Jung, Heewon Jeong, Heejong Son, Sang-Soo Baek*, Kyung Hwa Cho*, "Modeling freshwater plankton community dynamics with static and dynamic interactions using graph convolution embedded long short-term memory", Water Research (2024), 266, 122401 (JCR Rank 1.5%, IF: 12.4) 

10. Seongyeon Na, Heewon Jeong, Ilgook Kim, Seok Min Hong, Jaegyu Shim, In-Ho Yoon*, Kyung Hwa Cho*, "Distribution coefficient prediction using multimodal machine learning based on soil adsorption factors, XRF, and XRD spectrum data", Journal of Hazardous Materials (2024), 478, 135285 (JCR Rank 5.1%, IF: 11.3) 

9. Heewon Jeong, Byeongchan Yun, Seongyeon Na, Moon Son, Sung Ho Chae, Chang-Min Kim*, Kyung Hwa Cho*, "Multimodal deep learning models incorporating the adsorption characteristics of the adsorbent for estimating the permeate flux in dynamic membranes", Journal of Membrane Science (2024), 709, 123105 (JCR Rank 5.3%, IF: 9.0) 

8. Dae Seong Jeong, Heewon Jeong, Jin Hwi Kim, Joon Ha Kim, Yongeun Park*, "A hybrid approach to improvement of watershed water quality modeling by coupling process–based and deep learning models", Water Environment Research (2024), 96(8), 11079 (JCR Rank 33.3%, IF: 1.9) 

7. Kritnipit Phetanan1, Seok Min Hong1, Daeun Yun, Jiye Lee, Srilert Chotpantarat, Heewon Jeong*, Kyung Hwa Cho*, "Enhancing flow rate prediction of the Chao Phraya River Basin using SWAT–LSTM model coupling", Journal of Hydrology: Regional Studies (2024), 53, 101820 (JCR Rank 13.6%, IF: 5.0) 

6. Sung Il Yu1, Heewon Jeong1, Juhee Shin, Seung Gu Shin, Ather Abbas, Daeun Yun, Hyokwan Bae*, Kyung Hwa Cho*, "Simulation models of microbial community, pH, and volatile fatty acids of anaerobic digestion developed by machine learning", Journal of Water Process Engineering (2024), 60, 105225 (JCR Rank 6.8%, IF: 6.7) 

4. Seunghyeon Lee1, Heewon Jeong1, Seok Min Hong, Daeun Yun, Jiye Lee, Eunju Kim, Kyung Hwa Cho*, "Automatic classification of microplastics and natural organic matter mixtures using a deep learning model", Water Research (2023), 246, 120710 (JCR Rank 1.5%, IF: 12.4) 

3. Zeeshan Haider Jaffari1, Heewon Jeong1, Jaegwan Shin, Jinwoo Kwak, Changgil Son, Yong-Gu Lee, Sangwon Kim, Kangmin Chon*, Kyung Hwa Cho*, "Machine-learning-based prediction and optimization of emerging contaminants' adsorption capacity on biochar materials", Chemical Engineering Journal (2023), 466, 143073 (JCR Rank 3.6%, IF: 13.2) 

2. Heewon Jeong1, Bumjo Kim1, Joon Ha Kim, Sung Ju Yi, Jong Doo Kim, Seo Jin Ki*, "Comparing watershed management strategies at different spatial scales under future climate scenarios using SWAT", Desalination and Water Treatment (2021), 219, 413-422 (JCR Rank 81.4%, IF: 1.0)