Yue Pan 
- (2025): Image-based prediction for enclosure structure deformation in pipe-roof tunnel construction using a physical-guided and generative deep learning method. In: Automation in Construction, v. 171 (March 2025).
- (2025): Machine learning-based processes with active learning strategies for the automatic rapid assessment of seismic resistance of steel frames. In: Structures, v. 72 (February 2025).
- (2025): Multi-objective optimization framework for generative design of horseshoe-shaped pipe arrangement in pre-stressed underground bundles. In: Tunnelling and Underground Space Technology, v. 158 (April 2025).
- (2024): Digital twin with data-mechanism-fused model for smart excavation management. In: Automation in Construction, v. 168 (December 2024).
- (2024): Deep reinforcement learning for multi-objective optimization in BIM-based green building design. In: Automation in Construction, v. 166 (October 2024).
- (2024): Fault Detection of In-Service Bridge Expansion Joint Based on Voiceprint Recognition. In: Structural Control and Health Monitoring, v. 2024 (January 2024).
- (2023): Far-UVC disinfection of airborne and surface virus in indoor environments: Laboratory experiments and numerical simulations. In: Building and Environment, v. 245 (November 2023).
- (2023): Developing a survival probability-based Lagrangian model for predicting ultraviolet disinfection of bioaerosols in enclosed environments. In: Building and Environment, v. 244 (October 2023).
- (2023): Large field monitoring system of vehicle load on long-span bridge based on the fusion of multiple vision and WIM data. In: Automation in Construction, v. 154 (October 2023).
- (2023): Dynamic and explainable deep learning-based risk prediction on adjacent building induced by deep excavation. In: Tunnelling and Underground Space Technology, v. 140 (October 2023).
- (2018): Corrosion Segmentation and Quantitative Analysis Based on Deep Neural Networks. Presented at: Ninth International Conference on Bridge Maintenance, Safety and Management, IABMAS 2018, 9-13 July 2018, Melbourne, Australia.
- (2022): Corrosion detection and evaluation for steel wires based on a multi-vision scanning system. In: Construction and Building Materials, v. 322 (March 2022).
- (2022): Data-driven multi-output prediction for TBM performance during tunnel excavation: An attention-based graph convolutional network approach. In: Automation in Construction, v. 141 (September 2022).
- (2022): Mitigating tunnel-induced damages using deep neural networks. In: Automation in Construction, v. 138 (June 2022).
- (2022): Discovering spatial-temporal patterns via complex networks in investigating COVID-19 pandemic in the United States. In: Sustainable Cities and Society, v. 77 (February 2022).
- (2022): Deep learning for detecting building façade elements from images considering prior knowledge. In: Automation in Construction, v. 133 (January 2022).
- (2022): Multi-source information fusion for automated post-disaster building damage evaluation using deep neural network. In: Sustainable Cities and Society, v. 77 (February 2022).
- (2021): Discovering optimal strategies for mitigating COVID-19 spread using machine learning: Experience from Asia. In: Sustainable Cities and Society, v. 75 (December 2021).
- (2022): Engineering practices on surface damage inspection and performance evaluation of concrete bridges in China. In: Structural Concrete, v. 23, n. 1 (January 2022).
- (2021): Automated process discovery from event logs in BIM construction projects. In: Automation in Construction, v. 127 (July 2021).
- (2021): Exploring the relationship between particle deposition and near-wall turbulence quantities in the built environment. In: Building and Environment, v. 196 (June 2021).
- (2016): Indoor accelerated corrosion test and marine field test of corrosion-resistant low-alloy steel rebars. In: Case Studies in Construction Materials, v. 5 (December 2016).
- (2021): A BIM-data mining integrated digital twin framework for advanced project management. In: Automation in Construction, v. 124 (April 2021).
- (2020): A Nonlinear Statistical Damage Constitutive Model for Porous Rocks. In: Advances in Civil Engineering, v. 2020 (January 2020).
- (2020): Computer-aided design of a new cabin supply air nozzle in commercial airplanes for reducing particle deposition. In: Building and Environment, v. 186 (December 2020).
- (2020): Clustering of designers based on building information modeling event logs. In: Computer-Aided Civil and Infrastructure Engineering, v. 35, n. 7 (April 2020).
- (2020): Influence of surface roughness on particle deposition distribution around multi-slot cabin supply air nozzles of commercial airplanes. In: Building and Environment, v. 176 (June 2020).
- (2020): BIM log mining: Learning and predicting design commands. In: Automation in Construction, v. 112 (April 2020).
- (2019): Experimental measurements and large eddy simulation of particle deposition distribution around a multi-slot diffuser. In: Building and Environment, v. 150 (March 2019).
- (2020): BIM log mining: Exploring design productivity characteristics. In: Automation in Construction, v. 109 (January 2020).
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