Yuqing Gao 
- : Mediating role of relational capital in the influence of organizational culture on international project performance for construction enterprises. In: Engineering, Construction and Architectural Management.
- : Bridge damage identification based on synchronous statistical moment theory of vehicle–bridge interaction. In: Computer-Aided Civil and Infrastructure Engineering.
- (2024): A physics‐informed deep reinforcement learning framework for autonomous steel frame structure design. In: Computer-Aided Civil and Infrastructure Engineering, v. 39, n. 20 (Oktober 2024).
- (2024): Physical rule-guided generative adversarial network for automated structural layout design of steel frame-brace structures. In: Journal of Building Engineering, v. 86 (Juni 2024).
- (2023): Multiattribute multitask transformer framework for vision‐based structural health monitoring. In: Computer-Aided Civil and Infrastructure Engineering, v. 38, n. 17 (November 2023).
- (2023): Semi-supervised transfer learning-based automatic weld defect detection and visual inspection. In: Engineering Structures, v. 292 (Oktober 2023).
- (2023): Automated simplified structural modeling method for megatall buildings based on genetic algorithm. In: Journal of Building Engineering, v. 77 (Oktober 2023).
- (2023): Investigation on cumulative displacement of tension-only metallic yielding dissipators. In: Engineering Structures, v. 285 (Juni 2023).
- (2023): A Modified Full-Scale Experimental Method on the Seismic Performance of Complex Façade System. In: Journal of Earthquake Engineering, v. 27, n. 15 (Januar 2023).
- (2023): An uncoupled damping system for tension-only braced structures: experimental and numerical analysis. In: Engineering Structures, v. 281 (April 2023).
- (2023): Dual generative adversarial networks for automated component layout design of steel frame-brace structures. In: Automation in Construction, v. 146 (Februar 2023).
- (2022): Deep learning visual interpretation of structural damage images. In: Journal of Building Engineering, v. 60 (November 2022).
- (2022): Machine learning-aided multi-objective optimization of structures with hybrid braces – Framework and case study. In: Engineering Structures, v. 269 (Oktober 2022).
- (2022): Multistage semisupervised active learning framework for crack identification, segmentation, and measurement of bridges. In: Computer-Aided Civil and Infrastructure Engineering, v. 37, n. 9 (Juli 2022).
- (2022): Deep learning‐based bolt loosening detection for wind turbine towers. In: Structural Control and Health Monitoring, v. 29, n. 6 (11 April 2022).
- (2022): Asymmetrical friction damper to improve seismic behavior of tension-only braces: An experimental and analytical study. In: Engineering Structures, v. 256 (April 2022).
- (2021): Balanced semisupervised generative adversarial network for damage assessment from low‐data imbalanced‐class regime. In: Computer-Aided Civil and Infrastructure Engineering, v. 36, n. 9 (14 August 2021).
- (2022): Deep semantic segmentation for visual understanding on construction sites. In: Computer-Aided Civil and Infrastructure Engineering, v. 37, n. 2 (4 Januar 2022).
- (2020): PEER Hub ImageNet: A Large-Scale Multiattribute Benchmark Data Set of Structural Images. In: Journal of Structural Engineering (ASCE), v. 146, n. 10 (Oktober 2020).
- (2018): Deep Transfer Learning for Image-Based Structural Damage Recognition. In: Computer-Aided Civil and Infrastructure Engineering, v. 33, n. 9 (August 2018).
- (2019): Deep leaf‐bootstrapping generative adversarial network for structural image data augmentation. In: Computer-Aided Civil and Infrastructure Engineering, v. 34, n. 5 (April 2019).
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