| Towards adoption of building energy simulation and optimization for passive building design: A survey and a review Z Tian, X Zhang, X Jin, X Zhou, B Si, X Shi Energy and Buildings 158, 1306-1316, 2018 | 266 | 2018 |
| Quantitative description and simulation of human behavior in residential buildings C Peng, D Yan, R Wu, C Wang, X Zhou, Y Jiang Building simulation 5, 85-94, 2012 | 180 | 2012 |
| Multi-objective optimization design of a complex building based on an artificial neural network and performance evaluation of algorithms B Si, J Wang, X Yao, X Shi, X Jin, X Zhou Advanced Engineering Informatics 40, 93-109, 2019 | 150 | 2019 |
| Data analysis and stochastic modeling of lighting energy use in large office buildings in China X Zhou, D Yan, T Hong, X Ren Energy and Buildings 86, 275-287, 2015 | 148 | 2015 |
| A performance data integrated BIM framework for building life-cycle energy efficiency and environmental optimization design D Zhuang, X Zhang, Y Lu, C Wang, X Jin, X Zhou, X Shi Automation in Construction 127, 103712, 2021 | 119 | 2021 |
| Data acquisition for urban building energy modeling: A review C Wang, M Ferrando, F Causone, X Jin, X Zhou, X Shi Building and Environment 217, 109056, 2022 | 112 | 2022 |
| DeST 3.0: A new-generation building performance simulation platform D Yan, X Zhou, J An, X Kang, F Bu, Y Chen, Y Pan, Y Gao, Q Zhang, ... Building Simulation 15 (11), 1849-1868, 2022 | 102 | 2022 |
| Magnitude, causes, and solutions of the performance gap of buildings: A review X Shi, B Si, J Zhao, Z Tian, C Wang, X Jin, X Zhou Sustainability 11 (3), 937, 2019 | 99 | 2019 |
| Performance indices and evaluation of algorithms in building energy efficient design optimization B Si, Z Tian, X Jin, X Zhou, P Tang, X Shi Energy 114, 100-112, 2016 | 88 | 2016 |
| Investigation and analyses of residential heating in the HSCW climate zone of China: Status quo and key features S Guo, D Yan, C Peng, Y Cui, X Zhou, S Hu Building and Environment 94, 532-542, 2015 | 87 | 2015 |
| Influence of household air-conditioning use modes on the energy performance of residential district cooling systems X Zhou, D Yan, X Feng, G Deng, Y Jian, Y Jiang Building Simulation 9, 429-441, 2016 | 75 | 2016 |
| A global building occupant behavior database B Dong, Y Liu, W Mu, Z Jiang, P Pandey, T Hong, B Olesen, T Lawrence, ... Scientific data 9 (1), 369, 2022 | 74 | 2022 |
| A review of multi-scale modelling, assessment, and improvement methods of the urban thermal and wind environment S Du, X Zhang, X Jin, X Zhou, X Shi Building and Environment 213, 108860, 2022 | 73 | 2022 |
| Predicting open-plan office window operating behavior using the random forest algorithm X Zhou, J Ren, J An, D Yan, X Shi, X Jin Journal of Building Engineering 42, 102514, 2021 | 64 | 2021 |
| Comparison of HVAC system modeling in EnergyPlus, DeST and DOE-2.1 E X Zhou, T Hong, D Yan Building Simulation 7, 21-33, 2014 | 58 | 2014 |
| Optimal location of PCM layer in building walls under Nanjing (China) weather conditions X Jin, D Shi, MA Medina, X Shi, X Zhou, X Zhang Journal of Thermal Analysis and Calorimetry 129, 1767-1778, 2017 | 56 | 2017 |
| Comparison of two numerical heat transfer models for phase change material board X Jin, H Hu, X Shi, X Zhou, X Zhang Applied Thermal Engineering 128, 1331-1339, 2018 | 53 | 2018 |
| Field testing and performance analyses of ground source heat pump systems for residential applications in Hot Summer and Cold Winter area in China S Zhang, L Zhang, H Wei, J Jing, X Zhou, X Zhang Energy and Buildings 133, 615-627, 2016 | 52 | 2016 |
| A systematic method to develop three dimensional geometry models of buildings for urban building energy modeling C Wang, S Wei, S Du, D Zhuang, Y Li, X Shi, X Jin, X Zhou Sustainable Cities and Society 71, 102998, 2021 | 49 | 2021 |
| Research on a dynamic simulation method of atrium thermal environment based on neural network R Qin, D Yan, X Zhou, Y Jiang Building and environment 50, 214-220, 2012 | 48 | 2012 |