2024
 

1.

Sunghyun Cho, Jonghun Lim, Wangyun Won, Junghwan Kim, Seongbin Ga, “Design and optimization of energy supplying system for electric vehicles by mobile charge stations”
Journal of Industrial and Engineering Chemistry, 2024
IF 5.9 / JCR 18.42 %

2.
Emilia Fushimi, Eleonora M Aiello, Sunghyun Cho, Michael C Riddell, Robin L Gal, Corby K Martin, Susana R Patton, Michael R Rickels, Francis J Doyle III, "Online classification of unstructured free-living exercise sessions in people with Type 1 Diabetes"
Diabetes Technology & Therapeutics, 2024
IF 5.7 / JCR 12.63 %

3.
Jihun Ju, Dongyun Choi, Sunghyun Cho, Yunsung Yoo, Dongwoo Kang, "Absorption characteristics and rheological properties of quaternized polyamine-based deep eutectic solvents for high performance CO2 capture"
Chemical Engineering Journal, 2024
IF 13.4 / JCR 3.09 %

4.
Inhye Kim, Jeongjae Oh, Taesung Kim, Minsuk Im, Sunghyun Cho, "Analysis of Gas Emissions and Power Generation for Co-firing Ratios of NG, NH3, and H2 Based on NGCC"
​Korean Chemical Engineering Research, 2024

 

2023

​​​

1.

Minsu Kim, Areum Han, Jaewon Lee, Sunghyun Cho, Il Moon, Jonggeol Na, “Comparison of Derivative-Free Optimization: Energy Optimization of Steam Methane Reforming Process”
International Journal of Energy Research, 2023
IF 4.6 / JCR 1.5 %

2.

Sunghyun Cho, Eleonora M Aiello, Basak Ozaslan, Michael C Riddell, Peter Calhoun, Robin L Gal, Francis J Doyle III, “Design of a Real-Time Physical Activity Detection and Classification Framework for Individuals With Type 1 Diabetes” 
Journal of Diabetes Science and Technology, 2023
IF 5.0 / JCR 21.15 %
 

3.

Sunghyun Cho, M Kim, J Lee, A Han, J Na and I Moon, “Multi-objective Optimization of Explosive Waste Treatment Process Considering Environment and Process Cost via Bayesian Active Learning”
Engineering Applications of Artificial Intelligence, 2023
IF 7.802 / JCR 4.89 %

 

2022

​

1.

Sunghyun Cho, Y Kim, M Kim, H Cho, I Moon and J Kim, “Multi-Objective Optimization of an Explosive Waste Incineration Process Considering Nitrogen Oxides Emission and Process Cost by Using Artificial Neural Network Surrogate Models”
Process Safety and Environmental Protection, 2022
IF 7.926 / JCR 14.44 %
 

2.

Sunghyun Cho and J Kim, “Cost Saving of the Explosive Waste Incineration Process via an Optimal Heat Exchanger Network”
ACS Omega, 2022
IF 4.132 / JCR 40.50 %
 

3.

Y Kim, Sunghyun Cho*, K Jang, J Lee, M Kim and I Moon, “Effect of radial distribution of injected flow on simulated moving bed performance”
Journal of Chromatography A, 2022
IF 4.759 / JCR 16.03 %
 

4.

J Lee, Sunghyun Cho*, H Cho, S Cho, I Lee, I Moon and J Kim, “CFD modeling on natural and forced ventilation during hydrogen leaks in a pressure regulator process of a residential area”
Process Safety and Environmental Protection, 2022
IF 7.926 / JCR 14.44 %
 

5.

Sunghyun Cho, J Lim, H Cho, Y Yoo, D Kang and J Kim, “Novel process design of desalination wastewater recovery for CO2 and SOX utilization”
Chemical Engineering Journal, 2022
IF 16.744 / JCR 2.46 %
 

6.

M Kim, Sunghyun Cho, K Jang, S Hong, J Na and I Moon, “Data-driven robust optimization for minimum nitrogen oxide emission under process uncertainty”
Chemical Engineering Journal, 2022
IF 16.744 / JCR 2.46 %
 

7.

M Kim, Sunghyun Cho, A Han, Y Han, J Kwon, J Na, I Moon, “Multi-Objective Bayesian Optimization for Design and Operating of Fluidized Bed Reactor”
Computer Aided Chemical Engineering, 2022

 

2021

​

1.

Sunghyun Cho, D Kang, J Kwon, M Kim, H Cho, I Moon and J Kim, “A Framework for Economically Optimal Operation of Explosive Waste Incineration Process to Reduce NOx Emission Concentration”
Mathematics 2021
IF 2.592 / JCR 6.17 %
 

2.

Sunghyun Cho, M Kim, B Lyu and I Moon, “Optimization of an explosive waste incinerator via an artificial neural network surrogate model”
Chemical Engineering Journal, 2021
IF 16.744 / JCR 2.46 %

 

2020

​

1.

Sunghyun Cho, C Park, J Lee, B Lyu and I Moon, “Finding the best operating condition in a novel process for explosive waste incineration using fluidized bed reactor”
Computers and Chemical Engineering, 2020
IF 4.000 / JCR 17.9 %

 

2019

​

1.

K Lee, B Lyu, H Cho, C Park, Sunghyun Cho, S Park and I Moon, “Development of a hazardous material selection procedure for the chemical accident response manual”
Korean Journal of Chemical Engineering, 2019
IF 2.690 / JCR 41.61 %

 

2018

​

1.

C Park, J Lee, H Cho, Y Kim, Sunghyun Cho and I Moon, “Strategies for evaluating distributive mixing of multimodal Lagrangian particles with novel bimodal bin count variance”
Powder Technology, 2018
IF 5.640, JCR 22.18%
 

2.

S Cho, J Lee, Sunghyun Cho, H Yoon and I Moon, “An effect of explosion venting panel using CFD in low pressure hydrogen facilities”
Computer Aided Chemical Engineering, 2018

 

2016

​

1.

Sunghyun Cho, C Park, M Oh, J Park, H Kim and I Moon “Optimal Operating Condition of Fluidized Bed Propellant Incinerator Considering Fluidization Effect and Reaction of the Particles”
Computer Aided Chemical Engineering, 2016