Qizhi Tang 
- (2024): Large-scale model test on the construction process of a stiff skeleton arch bridge with the span of 600 m. In: Case Studies in Construction Materials, v. 21 (Dezember 2024).
- (2024): Explainable machine learning model for load-deformation correlation in long-span suspension bridges using XGBoost-SHAP. In: Developments in the Built Environment, v. 20 (Dezember 2024).
- : Dynamic response recovery of damaged structures using residual learning enhanced fully convolutional network. In: International Journal of Structural Stability and Dynamics.
- (2023): Bridge Condition Deterioration Prediction Using the Whale Optimization Algorithm and Extreme Learning Machine. In: Buildings, v. 13, n. 11 (26 Oktober 2023).
- (2023): A Review on Damage Monitoring and Identification Methods for Arch Bridges. In: Buildings, v. 13, n. 8 (2 August 2023).
- (2023): A Rapid Identification Technique of Moving Loads Based on MobileNetV2 and Transfer Learning. In: Buildings, v. 13, n. 2 (14 Februar 2023).
- (2022): Bridge deformation prediction based on SHM data using improved VMD and conditional KDE. In: Engineering Structures, v. 261 (Juni 2022).
- (2020): Autoregressive Model-Based Structural Damage Identification and Localization Using Convolutional Neural Networks. In: KSCE Journal of Civil Engineering, v. 24, n. 7 (Juni 2020).
Structurae kooperiert mit
