| Analysis of the accuracy on PMV–PPD model using the ASHRAE Global Thermal Comfort Database II T Cheung, S Schiavon, T Parkinson, P Li, G Brager Building and Environment 153, 205-217, 2019 | 412 | 2019 |
| Development of the ASHRAE global thermal comfort database II VF Ličina, T Cheung, H Zhang, R De Dear, T Parkinson, E Arens, C Chun, ... Building and Environment 142, 502-512, 2018 | 388 | 2018 |
| Post-occupancy evaluation: State-of-the-art analysis and state-of-the-practice review P Li, TM Froese, G Brager Building and environment 133, 187-202, 2018 | 334 | 2018 |
| Scientometric mapping of smart building research: Towards a framework of human-cyber-physical system (HCPS) P Li, Y Lu, D Yan, J Xiao, H Wu Automation in Construction 129, 103776, 2021 | 48 | 2021 |
| Improved long-term thermal comfort indices for continuous monitoring P Li, T Parkinson, S Schiavon, TM Froese, R de Dear, A Rysanek, ... Energy and buildings 224, 110270, 2020 | 47 | 2020 |
| A data-driven approach to defining acceptable temperature ranges in buildings P Li, T Parkinson, G Brager, S Schiavon, TCT Cheung, T Froese Building and Environment 153, 302-312, 2019 | 42 | 2019 |
| The Squeaky wheel: Machine learning for anomaly detection in subjective thermal comfort votes Z Wang, T Parkinson, P Li, B Lin, T Hong Building and Environment 151, 219-227, 2019 | 39 | 2019 |
| An integrated decision-making framework for existing building retrofits based on energy simulation and cost-benefit analysis Y Lu, P Li, YP Lee, X Song Journal of Building Engineering 43, 103200, 2021 | 34 | 2021 |
| A green home decision-making tool: Sustainability assessment for homeowners P Li, TM Froese Energy and Buildings 150, 421-431, 2017 | 29 | 2017 |
| Non-intrusive comfort sensing: Detecting age and gender from infrared images for personal thermal comfort P Li, P Dai, D Cao, B Liu, Y Lu Building and Environment 219, 109256, 2022 | 28 | 2022 |
| Life cycle assessment of magnesium oxide structural insulated panels for a smart home in Vancouver P Li, TM Froese, BT Cavka Energy and Buildings 175, 78-86, 2018 | 27 | 2018 |
| Integrated vision-based automated progress monitoring of indoor construction using mask region-based convolutional neural networks and BIM W Wei, Y Lu, T Zhong, P Li, B Liu Automation in Construction 140, 104327, 2022 | 26 | 2022 |
| An explanatory parametric model to predict comprehensive post-commissioning building performances P Li, Y Lu, Y Qian, Y Wang, W Liang Building and Environment 213, 108897, 2022 | 14 | 2022 |
| Life-cycle assessment of high performance, low cost homes P Li, TM Froese Procedia Engineering 145, 1322-1329, 2016 | 13 | 2016 |
| The interface between building information models and the public R Grover, P Li, TM Froese | 10 | 2015 |
| Accelerating the adoption of renewable energy certificate: Insights from a survey of corporate renewable procurement in Singapore P Li, J Ng, Y Lu Renewable Energy 199, 1272-1282, 2022 | 8 | 2022 |
| ASHRAE global database of thermal comfort field measurements T Parkinson, F Tartarini, V Földváry Ličina, T Cheung, H Zhang, ... Methods 2022, 07-15, 2022 | 8 | 2022 |
| Augmenting progress monitoring in soil-foundation construction utilizing SOLOv2-based instance segmentation and visual BIM representation W Wei, Y Lu, Y Lin, R Bai, Y Zhang, H Wang, P Li Automation in Construction 155, 105048, 2023 | 3 | 2023 |
| Image-based 3D reconstruction for Multi-Scale civil and infrastructure Projects: A review from 2012 to 2022 with new perspective from deep learning methods Y Lu, S Wang, S Fan, J Lu, P Li, P Tang Advanced Engineering Informatics 59, 102268, 2024 | 2 | 2024 |
| A review on the mechanisms behind thermal effect of building vertical greenery systems (VGS): methodology, performance and impact factors M Su, P Jie, P Li, F Yang, Z Huang, X Shi Energy and Buildings, 113785, 2023 | 2 | 2023 |
Thomas M. FroeseProfessor of Civil Engineering, University of VictoriaBestätigte E-Mail-Adresse bei uvic.ca
