| Time-series clustering approach for training data selection of a data-driven predictive model: Application to an industrial bio 2, 3-butanediol distillation process Y Choi, N An, S Hong, H Cho, J Lim, IS Han, I Moon, J Kim Computers & Chemical Engineering 161, 107758, 2022 | 17 | 2022 |
| Energy optimization via process modification to maximize economic feasibility of the butane gas-splitting process Y Choi, N An, I Moon, J Kim Industrial & Engineering Chemistry Research 59 (40), 18019-18027, 2020 | 13 | 2020 |
| A Dynamic Soft Sensor Based on Hybrid Neural Networks to Improve Early Off-spec Detection S Hong, N An, H Cho, J Lim, IS Han, I Moon, J Kim Engineering with Computers 39 (4), 3011-3021, 2023 | 11 | 2023 |
| Multi-objective robust optimization of profit for a naphtha cracking furnace considering uncertainties in the feed composition J Kim, C Joo, M Kim, N An, H Cho, I Moon, J Kim Expert Systems with Applications 216, 119464, 2023 | 10 | 2023 |
| Multidisciplinary high-throughput screening of metal–organic framework for ammonia-based green hydrogen production S Ga, N An, GY Lee, C Joo, J Kim Renewable and Sustainable Energy Reviews 192, 114275, 2024 | 6 | 2024 |
| Dual attention-based multi-step ahead prediction enhancement for monitoring systems in industrial processes N An, S Hong, Y Kim, H Cho, J Lim, I Moon, J Kim Applied Soft Computing 147, 110763, 2023 | 6 | 2023 |
| Economic analysis with multiscale high-throughput screening for covalent organic framework adsorbents in ammonia-based green hydrogen separation S Ga, N An, GY Lee, C Joo, J Kim Renewable and Sustainable Energy Reviews 189, 113989, 2024 | 5 | 2024 |
| Data-driven Modeling for Magma Density in the Continuous Crystallization Process N An, H Kwon, H Cho, J Kim Computer Aided Chemical Engineering 49, 1813-1818, 2022 | 3 | 2022 |
| pyAPEP: An All-in-One Software Package for the Automated Preparation of Adsorption Process Simulations S Ga, N An, C Joo, J Kim Available at SSRN 4396950, 0 | 3* | |
| Advancing green hydrogen purification: Multiscale evaluation of membrane processes using novel software, pySembrane N An, B Gu, J Kim, S Ga Renewable and Sustainable Energy Reviews 208, 114998, 2025 | 1 | 2025 |
| Multiscale High-throughput Screening for Membrane-based Green Hydrogen Separation Process N An, S Ga, H Cho, B Gu, J Kim Computer Aided Chemical Engineering 52, 2399-2404, 2023 | 1 | 2023 |
| Analysis of NO2 Removal Efficiency of Air Purification System in Bus Stop Using CFD Y Yoo, J Lim, N An, H Kwon, H Cho, J Kim International Conference on Building Energy and Environment, 2025-2033, 2022 | 1 | 2022 |
| Machine Learning Model Based Guidelines for Material Selection in Membrane-Based Gas Separation Processes N An, B Gu, J Kim, S Ga, D Kim 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Correction to: A dynamic soft sensor based on hybrid neural networks to improve early off-spec detection S Hong, N An, H Cho, J Lim, IS Han, I Moon, J Kim Engineering with Computers 39 (5), 3155-3155, 2023 | | 2023 |
| Process Control and Dynamic Optimization of Bio-based 2, 3-butanediol Distillation Column G Lee, N An, J Lim, I Han, H Cho, J Kim Korean Chemical Engineering Research 61 (2), 217-225, 2023 | | 2023 |
| Guide to COF Adsorbent for Ammonia-based Green Hydrogen with Multi-scale Evaluation Approach N An, S Ga, G Lee, H Cho, J Kim 2022 AIChE Annual Meeting, 2022 | | 2022 |
| Application of Time-series Cross Validation in Hyperparameter Tuning of a Predictive Model for 2, 3-BDO Distillation Process N An, Y Choi, H Cho, J Kim Korean Chemical Engineering Research 59 (4), 532-541, 2021 | | 2021 |
| Machine Learning-Based Profit Optimization for a Furnace in Naphtha Cracking Center with Uncertainties in the Feed Composition J Kim, C Joo, M Kim, N An, H Cho, I Moon, J Kim Available at SSRN 4195975, 0 | | |
