| A comprehensive review of thermal comfort studies in urban open spaces D Lai, Z Lian, W Liu, C Guo, W Liu, K Liu, Q Chen Science of The Total Environment 742, 140092, 2020 | 208 | 2020 |
| A building energy consumption prediction model based on rough set theory and deep learning algorithms L Lei, W Chen, B Wu, C Chen, W Liu Energy and Buildings 240, 110886, 2021 | 137 | 2021 |
| Accurate and high-resolution boundary conditions and flow fields in the first-class cabin of an MD-82 commercial airliner W Liu, J Wen, J Chao, W Yin, C Shen, D Lai, CH Lin, J Liu, H Sun, Q Chen Atmospheric Environment 56, 33-44, 2012 | 127 | 2012 |
| Deep learning to replace, improve, or aid CFD analysis in built environment applications: A review G Calzolari, W Liu Building and Environment 206, 108315, 2021 | 124 | 2021 |
| State-of-the-art methods for studying air distributions in commercial airliner cabins W Liu, S Mazumdar, Z Zhang, SB Poussou, J Liu, CH Lin, Q Chen Building and Environment 47, 5-12, 2012 | 120 | 2012 |
| Evaluation of various categories of turbulence models for predicting air distribution in an airliner cabin W Liu, J Wen, CH Lin, J Liu, Z Long, Q Chen Building and Environment 65, 118-131, 2013 | 117 | 2013 |
| A Markov chain model for predicting transient particle transport in enclosed environments C Chen, W Liu, CH Lin, Q Chen Building and Environment 90, 30-36, 2015 | 86 | 2015 |
| Experimental and numerical study of airflow distribution in an aircraft cabin mock-up with a gasper on R You, J Chen, Z Shi, W Liu, CH Lin, D Wei, Q Chen Journal of Building Performance Simulation 9 (5), 555-566, 2016 | 69 | 2016 |
| A hybrid model for investigating transient particle transport in enclosed environments C Chen, W Liu, F Li, CH Lin, J Liu, J Pei, Q Chen Building and Environment 62, 45-54, 2013 | 64 | 2013 |
| Comparing the Markov Chain Model with the Eulerian and Lagrangian Models for Indoor Transient Particle Transport Simulations C Chen, W Liu, CH Lin, Q Chen Aerosol Science and Technology 49 (10), 857-871, 2015 | 61 | 2015 |
| A machine learning approach to predict outdoor thermal comfort using local skin temperatures K Liu, T Nie, W Liu, Y Liu, D Lai Sustainable Cities and Society 59, 102216, 2020 | 60 | 2020 |
| A comprehensive evaluation method for indoor air quality of buildings based on rough sets and a wavelet neural network L Lei, W Chen, Y Xue, W Liu Building and Environment 162, 106296, 2019 | 60 | 2019 |
| A review of data-driven fault detection and diagnostics for building HVAC systems Z Chen, Z O’Neill, J Wen, O Pradhan, T Yang, X Lu, G Lin, S Miyata, S Lee, ... Applied Energy 339, 121030, 2023 | 58 | 2023 |
| Implementation of a fast fluid dynamics model in OpenFOAM for simulating indoor airflow W Liu, M Jin, C Chen, R You, Q Chen Numerical Heat Transfer, Part A: Applications 69 (7), 748-762, 2016 | 57 | 2016 |
| Inverse design of the thermal environment in an airliner cabin by use of the CFD-based adjoint method W Liu, R Duan, C Chen, CH Lin, Q Chen Energy and Buildings 104, 147-155, 2015 | 57 | 2015 |
| Development of a fast fluid dynamics-based adjoint method for the inverse design of indoor environments W Liu, R You, J Zhang, Q Chen Journal of Building Performance Simulation 10 (3), 326-343, 2017 | 54 | 2017 |
| Mesh Type and Number for the CFD Simulations of Air Distribution in an Aircraft Cabin R Duan, W Liu, L Xu, Y Huang, X Shen, CH Lin, J Liu, Q Chen, ... Numerical Heat Transfer, Part B: Fundamentals 67 (6), 489-506, 2015 | 51 | 2015 |
| State-of-the-art methods for inverse design of an enclosed environment W Liu, T Zhang, Y Xue, ZJ Zhai, J Wang, Y Wei, Q Chen Building and Environment 91, 91-100, 2015 | 47 | 2015 |
| Strategy for studying ventilation performance in factories J Zhang, Z Long, W Liu, Q Chen Aerosol and Air Quality Research 16 (2), 442-452, 2016 | 43 | 2016 |
| Optimal air distribution design in enclosed spaces using an adjoint method W Liu, Q Chen Inverse Problems in Science and Engineering 25 (3), 760-779, 2015 | 43 | 2015 |
Qingyan ChenHong Kong Polytechnic University在 polyu.edu.hk 的电子邮件经过验证
