| A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory L Ding, W Fang, H Luo, PED Love, B Zhong, X Ouyang Automation in construction 86, 118-124, 2018 | 428 | 2018 |
| Falls from heights: A computer vision-based approach for safety harness detection W Fang, L Ding, H Luo, PED Love Automation in construction 91, 53-61, 2018 | 364 | 2018 |
| Automated detection of workers and heavy equipment on construction sites: A convolutional neural network approach W Fang, L Ding, B Zhong, PED Love, H Luo Advanced Engineering Informatics 37, 139-149, 2018 | 290 | 2018 |
| Computer vision for behaviour-based safety in construction: A review and future directions W Fang, PED Love, H Luo, L Ding Advanced Engineering Informatics 43, 100980, 2020 | 230 | 2020 |
| A deep learning-based approach for mitigating falls from height with computer vision: Convolutional neural network W Fang, B Zhong, N Zhao, PE Love, H Luo, J Xue, S Xu Advanced Engineering Informatics 39, 170-177, 2019 | 207 | 2019 |
| Convolutional neural networks: Computer vision-based workforce activity assessment in construction H Luo, C Xiong, W Fang, PED Love, B Zhang, X Ouyang Automation in Construction 94, 282-289, 2018 | 186 | 2018 |
| Computer vision applications in construction safety assurance W Fang, L Ding, PED Love, H Luo, H Li, F Peña-Mora, B Zhong, C Zhou Automation in Construction 110, 103013, 2020 | 175 | 2020 |
| Knowledge graph for identifying hazards on construction sites: Integrating computer vision with ontology W Fang, L Ma, PED Love, H Luo, L Ding, AO Zhou Automation in Construction 119, 103310, 2020 | 135 | 2020 |
| Automated text classification of near-misses from safety reports: An improved deep learning approach W Fang, H Luo, S Xu, PED Love, Z Lu, C Ye Advanced Engineering Informatics 44, 101060, 2020 | 123 | 2020 |
| Deep learning and network analysis: Classifying and visualizing accident narratives in construction B Zhong, X Pan, PED Love, L Ding, W Fang Automation in Construction 113, 103089, 2020 | 114 | 2020 |
| Cyber-physical-system-based safety monitoring for blind hoisting with the internet of things: A case study C Zhou, H Luo, W Fang, R Wei, L Ding Automation in construction 97, 138-150, 2019 | 104 | 2019 |
| Deep learning-based extraction of construction procedural constraints from construction regulations B Zhong, X Xing, H Luo, Q Zhou, H Li, T Rose, W Fang Advanced Engineering Informatics 43, 101003, 2020 | 82 | 2020 |
| Ontology-based semantic modeling of knowledge in construction: Classification and identification of hazards implied in images B Zhong, H Li, H Luo, J Zhou, W Fang, X Xing Journal of construction engineering and management 146 (4), 04020013, 2020 | 67 | 2020 |
| Real-time smart video surveillance to manage safety: A case study of a transport mega-project H Luo, J Liu, W Fang, PED Love, Q Yu, Z Lu Advanced Engineering Informatics 45, 101100, 2020 | 66 | 2020 |
| Shared leadership, value and risks in large scale transport projects: Re-calibrating procurement policy for post COVID-19 PED Love, L Ika, J Matthews, W Fang Research in transportation economics 90, 100999, 2021 | 55 | 2021 |
| Computer vision and long short-term memory: Learning to predict unsafe behaviour in construction T Kong, W Fang, PED Love, H Luo, S Xu, H Li Advanced Engineering Informatics 50, 101400, 2021 | 41 | 2021 |
| Recognizing people’s identity in construction sites with computer vision: A spatial and temporal attention pooling network R Wei, PED Love, W Fang, H Luo, S Xu Advanced engineering informatics 42, 100981, 2019 | 40 | 2019 |
| Conservation of historical buildings in tunneling environments: Case study of Wuhan metro construction in China L Zhang, X Wu, MJ Skibniewski, W Fang, Q Deng Construction and Building Materials 82, 310-322, 2015 | 37 | 2015 |
| Computer vision approaches for detecting missing barricades E Chian, W Fang, YM Goh, J Tian Automation in Construction 131, 103862, 2021 | 31 | 2021 |
| Computer vision and deep learning to manage safety in construction: Matching images of unsafe behavior and semantic rules W Fang, PED Love, L Ding, S Xu, T Kong, H Li IEEE Transactions on Engineering Management 70 (12), 4120-4132, 2021 | 31 | 2021 |
Peter ED LoveCurtin UniversityVerified email at curtin.edu.au
