| Roles of artificial intelligence in construction engineering and management: A critical review and future trends Y Pan, L Zhang Automation in Construction 122, 103517, 2021 | 692 | 2021 |
| A BIM-data mining integrated digital twin framework for advanced project management Y Pan, L Zhang Automation in Construction 124, 103564, 2021 | 342 | 2021 |
| Bayesian-network-based safety risk analysis in construction projects L Zhang, X Wu, MJ Skibniewski, J Zhong, Y Lu Reliability Engineering & System Safety 131, 29-39, 2014 | 283 | 2014 |
| Improved fuzzy Bayesian network-based risk analysis with interval-valued fuzzy sets and D–S evidence theory Y Pan, L Zhang, ZW Li, L Ding IEEE Transactions on Fuzzy Systems 28 (9), 2063-2077, 2019 | 201 | 2019 |
| A dynamic Bayesian network based approach to safety decision support in tunnel construction X Wu, H Liu, L Zhang, MJ Skibniewski, Q Deng, J Teng Reliability Engineering & System Safety 134, 157-168, 2015 | 186 | 2015 |
| Towards a Fuzzy Bayesian Network Based Approach for Safety Risk Analysis of Tunnel‐Induced Pipeline Damage L Zhang, X Wu, Y Qin, MJ Skibniewski, W Liu Risk Analysis 36 (2), 278-301, 2016 | 184 | 2016 |
| Prospective safety performance evaluation on construction sites X Wu, Q Liu, L Zhang, MJ Skibniewski, Y Wang Accident Analysis & Prevention 78, 58-72, 2015 | 180 | 2015 |
| Energy consumption prediction and diagnosis of public buildings based on support vector machine learning: A case study in China Y Liu, H Chen, L Zhang, X Wu, X Wang Journal of Cleaner Production 272, 122542, 2020 | 166 | 2020 |
| Multi-classifier information fusion in risk analysis Y Pan, L Zhang, X Wu, MJ Skibniewski Information Fusion, 2020 | 165 | 2020 |
| Computational methodologies for optimal sensor placement in structural health monitoring: A review Y Tan, L Zhang Structural Health Monitoring 19 (4), 1287-1308, 2020 | 135 | 2020 |
| Perceiving safety risk of buildings adjacent to tunneling excavation: An information fusion approach L Zhang, X Wu, H Zhu, SM AbouRizk Automation in Construction 73, 88-101, 2017 | 135 | 2017 |
| A spatial-channel hierarchical deep learning network for pixel-level automated crack detection Y Pan, G Zhang, L Zhang Automation in Construction 119, 103357, 2020 | 129 | 2020 |
| Integrating BIM and AI for smart construction management: Current status and future directions Y Pan, L Zhang Archives of Computational Methods in Engineering 30 (2), 1081-1110, 2023 | 126 | 2023 |
| Bim-Based Risk Identification System in tunnel construction L Zhang, X Wu, L Ding, MJ Skibniewski, Y Lu Journal of Civil Engineering and Management 22 (4), 529-539, 2016 | 124 | 2016 |
| A probabilistic approach for safety risk analysis in metro construction L Zhang, MJ Skibniewski, X Wu, Y Chen, Q Deng Safety science 63, 8-17, 2014 | 122 | 2014 |
| Optimizing energy efficiency and thermal comfort in building green retrofit Q Li, L Zhang, L Zhang, X Wu Energy 237, 121509, 2021 | 116 | 2021 |
| An improved Dempster–Shafer approach to construction safety risk perception L Zhang, L Ding, X Wu, MJ Skibniewski Knowledge-Based Systems 132, 30-46, 2017 | 116 | 2017 |
| Decision support analysis for safety control in complex project environments based on Bayesian Networks L Zhang, X Wu, L Ding, MJ Skibniewski, Y Yan Expert Systems with Applications 40 (11), 4273-4282, 2013 | 111 | 2013 |
| Simulation-based route planning for pedestrian evacuation in metro stations: a case study L Zhang, M Liu, X Wu, SM AbouRizk Automation in Construction 71, 430-442, 2016 | 109 | 2016 |
| Data-driven estimation of building energy consumption with multi-source heterogeneous data Y Pan, L Zhang Applied Energy 268, 114965, 2020 | 107 | 2020 |
Yue PanDepartment of Civil Engineering, Shanghai Jiao Tong University在 sjtu.edu.cn 的电子邮件经过验证
