| Predictions of electricity consumption in a campus building using occupant rates and weather elements with sensitivity analysis: Artificial neural network vs. linear regression MK Kim, YS Kim, J Srebric Sustainable Cities and Society 62, 102385, 2020 | 191 | 2020 |
| Predicting electricity consumption in a building using an optimized back-propagation and Levenberg–Marquardt back-propagation neural network: Case study of a shopping mall in China Z Ye, MK Kim Sustainable Cities and Society 42, 176-183, 2018 | 184 | 2018 |
| Investigating the impact of data normalization methods on predicting electricity consumption in a building using different artificial neural network models YS Kim, MK Kim, N Fu, J Liu, J Wang, J Srebric Sustainable Cities and Society 118, 105570, 2025 | 167 | 2025 |
| A review of CFD analysis methods for personalized ventilation (PV) in indoor built environments J Liu, S Zhu, MK Kim, J Srebric Sustainability 11 (15), 4166, 2019 | 92 | 2019 |
| Energy analysis of a hybrid radiant cooling system under hot and humid climates: A case study at Shanghai in China MK Kim, J Liu, SJ Cao Building and Environment 137, 208-214, 2018 | 84 | 2018 |
| A novel ventilation strategy with CO2 capture device and energy saving in buildings MK Kim, L Baldini, H Leibundgut, JA Wurzbacher, N Piatkowski Energy and Buildings 87, 134-141, 2015 | 77 | 2015 |
| Energy analysis of a decentralized ventilation system compared with centralized ventilation systems in European climates: Based on review of analyses MK Kim, L Baldini Energy and Buildings 111, 424–433, 2016 | 69 | 2016 |
| Energy and exergy analyses of advanced decentralized ventilation system compared with centralized cooling and air ventilation systems in the hot and humid climate MK Kim, H Leibundgut, JH Choi Energy and Buildings 79, 212-222, 2014 | 65 | 2014 |
| Impact of correlation of plug load data, occupancy rates and local weather conditions on electricity consumption in a building using four back-propagation neural network models MK Kim, YS Kim, J Srebric Sustainable Cities and Society 62, 102321, 2020 | 62 | 2020 |
| Experimental and numerical analysis of indoor air quality affected by outdoor air particulate levels (PM1. 0, PM2. 5 and PM10), room infiltration rate, and occupants' behaviour N Fu, MK Kim, L Huang, J Liu, B Chen, S Sharples Science of The Total Environment 851, 158026, 2022 | 58 | 2022 |
| Multi-objective optimization of energy-saving measures and operation parameters for a newly retrofitted building in future climate conditions: A case study of an office … B Gao, X Zhu, J Ren, J Ran, MK Kim, J Liu Energy Reports 9, 2269-2285, 2023 | 57 | 2023 |
| Experimental study on control strategies of radiant floor cooling system with direct-ground cooling source and displacement ventilation system: A case study in an office building J Ren, J Liu, S Zhou, MK Kim, S Song Energy 239, 122410, 2022 | 53 | 2022 |
| A case study on feasible performance of a system combining an airbox convector with a radiant panel for tropical climates MK Kim, H Leibundgut Building and Environment 82, 687–692, 2014 | 48 | 2014 |
| Exploring the comprehensive integration of artificial intelligence in optimizing HVAC system operations: A review and future outlook S Lu, S Zhou, Y Ding, MK Kim, B Yang, Z Tian, J Liu Results in Engineering 25, 103765, 2025 | 47 | 2025 |
| A comparison of the thermal comfort performances of a radiation floor cooling system when combined with a range of ventilation systems J Liu, Z Li, MK Kim, S Zhu, L Zhang, J Srebric Indoor and Built Environment 29 (4), 527-542, 2020 | 47 | 2020 |
| Can increased outdoor CO2 concentrations impact on the ventilation and energy in buildings? A case study in Shanghai, China MK Kim, JH Choi Atmospheric environment 210, 220-230, 2019 | 47 | 2019 |
| Prediction and correlation analysis of ventilation performance in a residential building using artificial neural network models based on data-driven analysis MK Kim, B Cremers, J Liu, J Zhang, J Wang Sustainable Cities and Society 83, 103981, 2022 | 45 | 2022 |
| Advanced Airbox cooling and dehumidification system connected with a chilled ceiling panel in series adapted to hot and humid climates MK Kim, H Leibundgut Energy and Buildings 85, 72-78, 2014 | 45 | 2014 |
| Decentralized cooling and dehumidification with a 3 stage LowEx heat exchanger for free reheating L Baldini, MK Kim, H Leibundgut Energy and buildings 76, 270-277, 2014 | 45 | 2014 |
| Evaluating and adapting low exergy systems with decentralized ventilation for tropical climates F Meggers, J Pantelic, L Baldini, EM Saber, MK Kim Energy and Buildings 67, 559-567, 2013 | 45 | 2013 |
