| Machine learning approaches to predict the photocatalytic performance of bismuth ferrite-based materials in the removal of malachite green ZH Jaffari, A Abbas, SM Lam, S Park, K Chon, ES Kim, KH Cho Journal of hazardous materials 442, 130031, 2023 | 89 | 2023 |
| Deep neural networks for modeling fouling growth and flux decline during NF/RO membrane filtration S Park, SS Baek, JC Pyo, Y Pachepsky, J Park, KH Cho Journal of Membrane Science 587, 117164, 2019 | 77 | 2019 |
| 3D printed honeycomb-shaped feed channel spacer for membrane fouling mitigation in nanofiltration S Park, Y Dal Jeong, JH Lee, J Kim, K Jeong, KH Cho Journal of Membrane science 620, 118665, 2021 | 55 | 2021 |
| Deep learning model for simulating influence of natural organic matter in nanofiltration J Shim, S Park, KH Cho Water research 197, 117070, 2021 | 50 | 2021 |
| Modeling of NF/RO membrane fouling and flux decline using real-time observations J Park, K Jeong, S Baek, S Park, M Ligaray, TH Chong, KH Cho Journal of Membrane Science 576, 66-77, 2019 | 49 | 2019 |
| Optimization of a nanofiltration and membrane capacitive deionization (NF-MCDI) hybrid system: Experimental and modeling studies K Jeong, N Yoon, S Park, M Son, J Lee, J Park, KH Cho Desalination 493, 114658, 2020 | 45 | 2020 |
| Energy projection of the seawater battery desalination system using the reverse osmosis system analysis model M Ligaray, NH Kim, S Park, JS Park, J Park, Y Kim, KH Cho Chemical Engineering Journal 395, 125082, 2020 | 45 | 2020 |
| Evaluation of fouling in nanofiltration for desalination using a resistance-in-series model and optical coherence tomography J Park, S Lee, J You, S Park, Y Ahn, W Jung, KH Cho Science of the Total Environment 642, 349-355, 2018 | 44 | 2018 |
| Prediction of oxidant exposures and micropollutant abatement during ozonation using a machine learning method D Cha, S Park, MS Kim, T Kim, SW Hong, KH Cho, C Lee Environmental science & technology 55 (1), 709-718, 2020 | 41 | 2020 |
| Simultaneous energy storage and seawater desalination using rechargeable seawater battery: Feasibility and future directions M Son, S Park, N Kim, AT Angeles, Y Kim, KH Cho Advanced Science 8 (18), 2101289, 2021 | 34 | 2021 |
| Drone-borne sensing of major and accessory pigments in algae using deep learning modeling JC Pyo, SM Hong, J Jang, S Park, J Park, JH Noh, KH Cho GIScience & Remote Sensing 59 (1), 310-332, 2022 | 33 | 2022 |
| Modeling and evaluating performance of full-scale reverse osmosis system in industrial water treatment plant K Jeong, M Son, N Yoon, S Park, J Shim, J Kim, JL Lim, KH Cho Desalination 518, 115289, 2021 | 32 | 2021 |
| Evaluating membrane fouling potentials of dissolved organic matter in brackish water S Park, T Nam, J You, ES Kim, I Choi, J Park, KH Cho Water Research 149, 65-73, 2019 | 32 | 2019 |
| Predicting the salt adsorption capacity of different capacitive deionization electrodes using random forest S Park, AT Angeles, M Son, J Shim, K Chon, KH Cho Desalination 537, 115826, 2022 | 25 | 2022 |
| Influence of natural organic matter on membrane capacitive deionization performance J Shim, N Yoon, S Park, J Park, M Son, K Jeong, KH Cho Chemosphere 264, 128519, 2021 | 25 | 2021 |
| Arctic primary aerosol production strongly influenced by riverine organic matter J Park, M Dall’Osto, K Park, JH Kim, J Park, KT Park, CY Hwang, GI Jang, ... Environmental Science & Technology 53 (15), 8621-8630, 2019 | 24 | 2019 |
| Optimizing agricultural best management practices in a Lake Erie watershed J Pyo, SS Baek, M Kim, S Park, H Lee, JS Ra, KH Cho JAWRA Journal of the American Water Resources Association 53 (6), 1281-1292, 2017 | 22 | 2017 |
| Deep learning with data preprocessing methods for water quality prediction in ultrafiltration J Shim, S Hong, J Lee, S Lee, YM Kim, K Chon, S Park, KH Cho Journal of Cleaner Production 428, 139217, 2023 | 21 | 2023 |
| An open-source deep learning model for predicting effluent concentration in capacitive deionization M Son, N Yoon, S Park, A Abbas, KH Cho Science of The Total Environment 856, 159158, 2023 | 21 | 2023 |
| Investigating the influence of organic matter composition on biofilm volumes in reverse osmosis using optical coherence tomography S Park, T Nam, J Park, S Kim, Y Ahn, S Lee, YM Kim, W Jung, KH Cho Desalination 419, 125-132, 2017 | 21 | 2017 |
Kyung Hwa ChoKorea UniversityVerifisert e-postadresse på korea.ac.kr