| Applying support vector machine to predict hourly cooling load in the building Q Li, Q Meng, J Cai, H Yoshino, A Mochida Applied Energy 86 (10), 2249-2256, 2009 | 606 | 2009 |
| Predicting hourly cooling load in the building: A comparison of support vector machine and different artificial neural networks Q Li, Q Meng, J Cai, H Yoshino, A Mochida Energy Conversion and Management 50 (1), 90-96, 2009 | 460 | 2009 |
| Evaluation of a microclimate model for predicting the thermal behavior of different ground surfaces X Yang, L Zhao, M Bruse, Q Meng Building and Environment 60, 93-104, 2013 | 354 | 2013 |
| An integrated simulation method for building energy performance assessment in urban environments X Yang, L Zhao, M Bruse, Q Meng Energy and buildings 54, 243-251, 2012 | 305 | 2012 |
| Theoretical and experimental analysis of the energy balance of extensive green roofs C Feng, Q Meng, Y Zhang Energy and buildings 42 (6), 959-965, 2010 | 297 | 2010 |
| Study on the outdoor thermal environment and thermal comfort around campus clusters in subtropical urban areas T Xi, Q Li, A Mochida, Q Meng Building and Environment 52, 162-170, 2012 | 268 | 2012 |
| Thermal comfort in naturally ventilated buildings in hot-humid area of China Y Zhang, J Wang, H Chen, J Zhang, Q Meng Building and Environment 45 (11), 2562-2570, 2010 | 262 | 2010 |
| Comfort under personally controlled air movement in warm and humid environments Y Zhai, H Zhang, Y Zhang, W Pasut, E Arens, Q Meng Building and environment 65, 109-117, 2013 | 260 | 2013 |
| Human comfort and perceived air quality in warm and humid environments with ceiling fans Y Zhai, Y Zhang, H Zhang, W Pasut, E Arens, Q Meng Building and Environment 90, 178-185, 2015 | 178 | 2015 |
| Thermal behavior of a vertical green facade and its impact on the indoor and outdoor thermal environment L Zhang, Z Deng, L Liang, Y Zhang, Q Meng, J Wang, M Santamouris Energy and buildings 204, 109502, 2019 | 152 | 2019 |
| Experimental investigation on the influence of evaporative cooling of permeable pavements on outdoor thermal environment J Wang, Q Meng, K Tan, L Zhang, Y Zhang Building and Environment 140, 184-193, 2018 | 152 | 2018 |
| Prediction model of annual energy consumption of residential buildings Q Li, P Ren, Q Meng 2010 international conference on advances in energy engineering, 223-226, 2010 | 133 | 2010 |
| CFD study of the thermal environment in an air-conditioned train station building Q Li, H Yoshino, A Mochida, B Lei, Q Meng, L Zhao, Y Lun Building and Environment 44 (7), 1452-1465, 2009 | 126 | 2009 |
| Hygric properties of porous building materials: Analysis of measurement repeatability and reproducibility C Feng, H Janssen, Y Feng, Q Meng Building and Environment 85, 160-172, 2015 | 124 | 2015 |
| Thermal comfort of people in the hot and humid area of China—impacts of season, climate, and thermal history Y Zhang, H Chen, J Wang, Q Meng Indoor Air 26 (5), 820-830, 2016 | 114 | 2016 |
| Effects of step changes of temperature and humidity on human responses of people in hot-humid area of China Y Zhang, J Zhang, H Chen, X Du, Q Meng Building and environment 80, 174-183, 2014 | 110 | 2014 |
| Thermal comfort in buildings with split air-conditioners in hot-humid area of China Y Zhang, H Chen, Q Meng Building and Environment 64, 213-224, 2013 | 98 | 2013 |
| Impacts of the water absorption capability on the evaporative cooling effect of pervious paving materials J Wang, Q Meng, L Zhang, Y Zhang, BJ He, S Zheng, M Santamouris Building and Environment 151, 187-197, 2019 | 97 | 2019 |
| Performance synergism of pervious pavement on stormwater management and urban heat island mitigation: A review of its benefits, key parameters, and co-benefits approach J Wang, Q Meng, Y Zou, Q Qi, K Tan, M Santamouris, BJ He Water Research 221, 118755, 2022 | 89 | 2022 |
| Roof cooling effect with humid porous medium Q Meng, W Hu Energy and Buildings 37 (1), 1-9, 2005 | 84 | 2005 |
