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Jaegyu Shim

Observed name: Shim, Jaegyu
ORCID: 0009-0002-6035-265X
Observed ORCID: 0009-0002-6035-265X
OpenAlex ID: A5109750529
Deep learning model for simulating influence of natural organic matter in nanofiltration
2021 · Jaegyu Shim, Sanghun Park, et al. · Water Research · 89
Deep learning with data preprocessing methods for water quality prediction in ultrafiltration
2023 · Jaegyu Shim, Seokmin Hong, et al. · Journal of Cleaner Production · 46
Influence of natural organic matter on membrane capacitive deionization performance
2020 · Jaegyu Shim, Nakyung Yoon, et al. · Chemosphere · 43
Modeling and evaluating performance of full-scale reverse osmosis system in industrial water treatment plant
2021 · Kwanho Jeong, Moon Son, et al. · Desalination · 42
Predicting the salt adsorption capacity of different capacitive deionization electrodes using random forest
2022 · Sanghun Park, Anne Therese Angeles, et al. · Desalination · 40
Physically-assisted removal of organic fouling by osmotic backwashing coupled with chemical cleaning
2022 · Sanghun Park, Moon Son, et al. · Journal of Cleaner Production · 28
Autonomous real-time control for membrane capacitive deionization
2024 · Jaegyu Shim, Suin Lee, et al. · Water Research · 25
Deep reinforcement learning in an ultrafiltration system: Optimizing operating pressure and chemical cleaning conditions
2022 · Sanghun Park, Jaegyu Shim, et al. · Chemosphere · 23
Towards autonomous operation of two-stage reverse osmosis water treatment system with multi-agent reinforcement learning
2025 · Byeongchan Yun, Jaegyu Shim, et al. · Desalination · 22
Distribution coefficient prediction using multimodal machine learning based on soil adsorption factors, XRF, and XRD spectrum data
2024 · Seongyeon Na, Heewon Jeong, et al. · Journal of Hazardous Materials · 22
Membrane capacitive deionization model including fouling indexes obtained via real-time fouling layer measurements
2022 · Nakyung Yoon, Sanghun Park, et al. · Desalination · 20
Optimizing membrane cleaning strategy of industrial reverse osmosis process using long sequence time-series forecasting
2025 · Jaegyu Shim, Seunghyeon Lee, et al. · Desalination · 19
Influence of organic matter on seawater battery desalination performance
2023 · Sukyoung Kim, Jaegyu Shim, et al. · Desalination · 16
Optimizing capacitive deionization operation using dynamic modeling and reinforcement learning
2025 · Suin Lee, Jaegyu Shim, et al. · Desalination · 15
Seawater battery desalination with sodium-intercalation cathode for hypersaline water treatment
2022 · Moon Son, Jaegyu Shim, et al. · Desalination · 14
Pharmaceutical removal at low energy consumption using membrane capacitive deionization
2021 · Moon Son, Kwanho Jeong, et al. · Chemosphere · 14
Robust deep learning model combined with missing input data estimation: Application in a 1000 m3/day high-salinity SWRO plant
2025 · Jeongwoo Moon, Kwanho Jeong, et al. · Desalination · 13
Temporal fusion transformer model for predicting differential pressure in reverse osmosis process
2025 · Seunghyeon Lee, Jaegyu Shim, et al. · Journal of Water Process Engineering · 12
Machine learning-based framework to enhance hydrogen flow rate in proton-exchange membrane water electrolysis: From prediction to cell design suggestion
2026 · Suin Lee, Hyunseok Yoon, et al. · Journal of environmental chemical engineering · 8
Surrogate-assisted reinforcement learning for energy-efficient operation of zero-gap alkaline water electrolysis
2026 · Seunghyeon Lee, Juyeon Choi, et al. · International Journal of Hydrogen Energy · 7
Few-shot learning to predict nitrate and phosphate adsorption capacity of biochar: A cost-effective and innovative approach
2025 · Jeongwoo Moon, Jaegwan Shin, et al. · Journal of Water Process Engineering · 7
A novel electro-sorption and acidic capturing method for continuous volatile fatty acid recovery
2025 · Kyoung-Yeol Kim, Jaegyu Shim, et al. · Chemical Engineering Journal · 5
Advancing membrane fouling control via electrically driven microbubble generation: Phosphidation-enhanced electrocatalytic activity of Ni foam and numerical optimization of operational parameters
2026 · Eun-Tae Yun, Jaegyu Shim, et al. · Water Research · 2
Sodium Removal from Lithium Leachate Using a NASICON Ceramic Membrane: Effects of Concentration Gradient and Coexisting Lithium
2026 · Jaegyu Shim, Soobin Kim, et al. · Journal of the Korea Academia-Industrial cooperation Society
Interpretable reinforcement-learning energy dispatch co-optimized with system sizing for stable and efficient off-grid green‑hydrogen systems
2026 · Byeongchan Yun, Suin Lee, et al. · Applied Energy
Works count: 29
Citation count: 532
H-index: 14
I10-index: 18
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