| Building energy-consumption status worldwide and the state-of-the-art technologies for zero-energy buildings during the past decade X Cao, X Dai, J Liu Energy and buildings 128, 198-213, 2016 | 1352 | 2016 |
| A review of studies applying machine learning models to predict occupancy and window-opening behaviours in smart buildings X Dai, J Liu, X Zhang Energy and Buildings 223, 110159, 2020 | 145 | 2020 |
| Indoor air quality and occupants' ventilation habits in China: seasonal measurement and long-term monitoring J Liu, X Dai, X Li, S Jia, J Pei, Y Sun, D Lai, X Shen, H Sun, H Yin, ... Building and Environment 142, 119-129, 2018 | 87 | 2018 |
| Long-term monitoring of indoor CO2 and PM2. 5 in Chinese homes: Concentrations and their relationships with outdoor environments X Dai, J Liu, X Li, L Zhao Building and Environment 144, 238-247, 2018 | 73 | 2018 |
| Deep learning for automated cerebral aneurysm detection on computed tomography images X Dai, L Huang, Y Qian, S Xia, W Chong, J Liu, AD Ieva, X Hou, C Ou International journal of computer assisted radiology and surgery, 2020 | 69 | 2020 |
| Ventilation behavior in residential buildings with mechanical ventilation systems across different climate zones in China D Lai, Y Qi, J Liu, X Dai, L Zhao, S Wei Building and Environment 143, 679-690, 2018 | 67 | 2018 |
| Modeling and controlling indoor formaldehyde concentrations in apartments: On-site investigation in all climate zones of China X Dai, J Liu, Y Yin, X Song, S Jia Building and Environment 127, 98-106, 2018 | 48 | 2018 |
| Air change rates in urban Chinese bedrooms J Hou, Y Sun, Q Chen, R Cheng, J Liu, X Shen, H Tan, H Yin, K Huang, ... Indoor air 29 (5), 828-839, 2019 | 46 | 2019 |
| Associations of indoor carbon dioxide concentrations, air temperature, and humidity with perceived air quality and sick building syndrome symptoms in Chinese homes J Hou, Y Sun, X Dai, J Liu, X Shen, H Tan, H Yin, K Huang, Y Gao, D Lai, ... Indoor Air 31 (4), 1018-1028, 2021 | 45 | 2021 |
| A recurrent neural network using historical data to predict time series indoor PM2. 5 concentrations for residential buildings X Dai, J Liu, Y Li Indoor air 31 (4), 1228-1237, 2021 | 40 | 2021 |
| 2D-PIV measurement of range hood-driven flow in a domestic kitchen W Chen, J Li, C Wang, X Dai, J Liu Energy and Buildings 177, 64-76, 2018 | 40 | 2018 |
| An eight-city study of volatile organic compounds in Chinese residences: Compounds, concentrations, and characteristics J Pei, Y Yin, J Liu, X Dai Science of the total environment 698, 134137, 2020 | 36 | 2020 |
| An artificial neural network model using outdoor environmental parameters and residential building characteristics for predicting the nighttime natural ventilation effect X Dai, J Liu, X Zhang, W Chen Building and Environment 159, 106139, 2019 | 30 | 2019 |
| Comparing the effects of sun and wind on outdoor thermal comfort: A case study based on longitudinal subject tests in cold climate region K Liu, Z Lian, X Dai, D Lai Science of The Total Environment 825, 154009, 2022 | 19 | 2022 |
| Deep learning and physics-based modeling for the optimization of ice-based thermal energy systems in cooling plants L Jia, J Liu, A Chong, X Dai Applied Energy 322, 119443, 2022 | 16 | 2022 |
| Achieving better indoor air quality with IoT systems for future buildings: Opportunities and challenges X Dai, W Shang, J Liu, M Xue, C Wang Science of The Total Environment, 164858, 2023 | 15 | 2023 |
| Deciphering optimal mixed-mode ventilation in the tropics using reinforcement learning with explainable artificial intelligence X Dai, S Cheng, A Chong Energy and Buildings 278, 112629, 2023 | 13 | 2023 |
| Monte Carlo simulation to control indoor pollutants from indoor and outdoor sources for residential buildings in Tianjin, China X Dai, J Liu, X Zhang Building and Environment 165, 106376, 2019 | 13 | 2019 |
| Assessment of a confined thermal plume by PIV combined with POD analysis W Chen, J Liu, J Li, X Dai, P Wang, C Wang Applied Thermal Engineering 188, 116590, 2021 | 12 | 2021 |
| The impact of water on particle emissions from heated cooking oil W Chen, P Wang, D Zhang, J Liu, X Dai Aerosol and Air Quality Research 20 (3), 533-543, 2020 | 11 | 2020 |
