| Individual difference in thermal comfort: A literature review Z Wang, R de Dear, M Luo, B Lin, Y He, A Ghahramani, Y Zhu Building and Environment 138, 181-193, 2018 | 320 | 2018 |
| A review of operating performance in green buildings: Energy use, indoor environmental quality and occupant satisfaction Y Geng, W Ji, Z Wang, B Lin, Y Zhu Energy and Buildings 183, 500-514, 2019 | 162 | 2019 |
| Human metabolic rate and thermal comfort in buildings: The problem and challenge M Luo, Z Wang, K Ke, B Cao, Y Zhai, X Zhou Building and Environment 131, 44-52, 2018 | 121 | 2018 |
| Reinforcement learning for building controls: The opportunities and challenges Z Wang, T Hong Applied Energy 269, 115036, 2020 | 120 | 2020 |
| Building thermal load prediction through shallow machine learning and deep learning Z Wang, T Hong, MA Piette Applied Energy 263, 114683, 2020 | 116 | 2020 |
| Evaluation and comparison of thermal comfort of convective and radiant heating terminals in office buildings B Lin, Z Wang, H Sun, Y Zhu, Q Ouyang Building and Environment 106, 91-102, 2016 | 113 | 2016 |
| State-of-the-art on research and applications of machine learning in the building life cycle T Hong, Z Wang, X Luo, W Zhang Energy and Buildings 212, 109831, 2020 | 109 | 2020 |
| Residential heating energy consumption modeling through a bottom-up approach for China's Hot Summer–Cold Winter climatic region Z Wang, Z Zhao, B Lin, Y Zhu, Q Ouyang Energy and Buildings 109, 65-74, 2015 | 81 | 2015 |
| Investigation of winter indoor thermal environment and heating demand of urban residential buildings in China's hot summer–Cold winter climate region B Lin, Z Wang, Y Liu, Y Zhu, Q Ouyang Building and Environment 101, 9-18, 2016 | 78 | 2016 |
| Thermal comfort evaluated for combinations of energy-efficient personal heating and cooling devices M Luo, E Arens, H Zhang, A Ghahramani, Z Wang Building and Environment 143, 206-216, 2018 | 77 | 2018 |
| Indoor climate experience, migration, and thermal comfort expectation in buildings M Luo, Z Wang, G Brager, B Cao, Y Zhu Building and Environment 141, 262-272, 2018 | 76 | 2018 |
| Measured energy use and indoor environment quality in green office buildings in China B Lin, Y Liu, Z Wang, Z Pei, M Davies Energy and Buildings 129, 9-18, 2016 | 72 | 2016 |
| Data fusion in predicting internal heat gains for office buildings through a deep learning approach Z Wang, T Hong, MA Piette Applied Energy 240, 386-398, 2019 | 62 | 2019 |
| Investigation of indoor environment quality of Chinese large-hub airport terminal buildings through longitudinal field measurement and subjective survey Z Wang, H Zhao, B Lin, Y Zhu, Q Ouyang, J Yu Building and Environment 94, 593-605, 2015 | 58 | 2015 |
| The uncertainty of subjective thermal comfort measurement J Wang, Z Wang, R de Dear, M Luo, A Ghahramani, B Lin Energy and Buildings 181, 38-49, 2018 | 53 | 2018 |
| Modeling and measurement study on an intermittent heating system of a residence in Cambridgeshire Z Wang, B Lin, Y Zhu Building and environment 92, 380-386, 2015 | 43 | 2015 |
| A model to compare convective and radiant heating systems for intermittent space heating Z Wang, M Luo, Y Geng, B Lin, Y Zhu Applied Energy 215, 211-226, 2018 | 41 | 2018 |
| Review of fan-use rates in field studies and their effects on thermal comfort, energy conservation, and human productivity H He, Y., Chen, W., Wang, Z., & Zhang Energy and Building 194, 140-162, 2019 | 37 | 2019 |
| Inferring occupant counts from Wi-Fi data in buildings through machine learning Z Wang, T Hong, MA Piette, and M Pritoni Building and Environment 158, 281-294, 2019 | 34 | 2019 |
| Rational selection of heating temperature set points for China's hot summer–Cold winter climatic region Z Wang, R de Dear, B Lin, Y Zhu, Q Ouyang Building and Environment 93, 63-70, 2015 | 34 | 2015 |
