| Development of an occupancy prediction model using indoor environmental data based on machine learning techniques SH Ryu, HJ Moon Building and Environment 107, 1-9, 2016 | 221 | 2016 |
| Combined effects of acoustic, thermal, and illumination conditions on the comfort of discrete senses and overall indoor environment W Yang, HJ Moon Building and Environment 148, 623-633, 2019 | 179 | 2019 |
| Assessing mold risks in buildings under uncertainty HJ Moon Georgia Institute of Technology, 2005 | 116 | 2005 |
| The effect of moisture transportation on energy efficiency and IAQ in residential buildings HJ Moon, SH Ryu, JT Kim Energy and Buildings 75, 439-446, 2014 | 113 | 2014 |
| Case studies for the evaluation of interoperability between a BIM based architectural model and building performance analysis programs HJ Moon, MS Choi, SK Kim Building Simulation 2011 12, 1521-1526, 2011 | 102 | 2011 |
| Application of a multiple linear regression and an artificial neural network model for the heating performance analysis and hourly prediction of a large-scale ground source … SK Park, HJ Moon, KC Min, C Hwang, S Kim Energy and Buildings 165, 206-215, 2018 | 88 | 2018 |
| An interoperability workbench for design analysis integration G Augenbroe, P De Wilde, HJ Moon, A Malkawi Energy and buildings 36 (8), 737-748, 2004 | 76 | 2004 |
| Cross-modal effects of noise and thermal conditions on indoor environmental perception and speech recognition W Yang, HJ Moon Applied Acoustics 141, 1-8, 2018 | 69 | 2018 |
| Comparison of random forest and gradient boosting machine models for predicting demolition waste based on small datasets and categorical variables GW Cha, HJ Moon, YC Kim International Journal of Environmental Research and Public Health 18 (16), 8530, 2021 | 59 | 2021 |
| Development of a prediction model for demolition waste generation using a random forest algorithm based on small datasets GW Cha, HJ Moon, YM Kim, WH Hong, JH Hwang, WJ Park, YC Kim International Journal of Environmental Research and Public Health 17 (19), 6997, 2020 | 58 | 2020 |
| Performance based thermal comfort control (PTCC) using deep reinforcement learning for space cooling YR Yoon, HJ Moon Energy and Buildings 203, 109420, 2019 | 57 | 2019 |
| Case study of an advanced integrated comfort control algorithm with cooling, ventilation, and humidification systems based on occupancy status SH Kim, HJ Moon Building and Environment 133, 246-264, 2018 | 53 | 2018 |
| New approach for forecasting demolition waste generation using chi-squared automatic interaction detection (CHAID) method GW Cha, YC Kim, HJ Moon, WH Hong Journal of Cleaner Production 168, 375-385, 2017 | 52 | 2017 |
| Energy consumption model with energy use factors of tenants in commercial buildings using Gaussian process regression YR Yoon, HJ Moon Energy and Buildings 168, 215-224, 2018 | 47 | 2018 |
| Cross-modal effects of illuminance and room temperature on indoor environmental perception W Yang, HJ Moon Building and Environment 146, 280-288, 2018 | 46 | 2018 |
| Combined effects of sound and illuminance on indoor environmental perception W Yang, HJ Moon Applied Acoustics 141, 136-143, 2018 | 43 | 2018 |
| Combined effects of short-term noise exposure and hygrothermal conditions on indoor environmental perceptions W Yang, HJ Moon, MJ Kim Indoor and Built Environment 27 (8), 1119-1133, 2018 | 40 | 2018 |
| Evaluating recycling potential of demolition waste considering building structure types: A study in South Korea GW Cha, HJ Moon, YC Kim, WH Hong, GY Jeon, YR Yoon, C Hwang, ... Journal of cleaner production 256, 120385, 2020 | 39 | 2020 |
| Determining operation schedules of heat recovery ventilators for optimum energy savings in high-rise residential buildings SM Kim, JH Lee, S Kim, HJ Moon, J Cho Energy and Buildings 46, 3-13, 2012 | 33 | 2012 |
| A hybrid machine-learning model for predicting the waste generation rate of building demolition projects GW Cha, HJ Moon, YC Kim Journal of Cleaner Production 375, 134096, 2022 | 28 | 2022 |
Wonyoung YangAssistant Professor, Gwangju University在 gwangju.ac.kr 的电子邮件经过验证
