Xiaoqing Zhao 
- : A Data-Driven Method Based on Bidirectional Convolutional Current Neural Network to Detect Structural Damage. In: Iranian Journal of Science and Technology, Transactions of Civil Engineering.
- (2024): Mechanical properties and field test of lime-soda residue stabilized soil for subgrade. In: Construction and Building Materials, v. 419 (März 2024).
- (2024): Fatigue damage evolution model of stainless-steel-cruciform-joint with weld defect using AE signal. In: Journal of Constructional Steel Research, v. 214 (März 2024).
- (2023): Displacement and force analyses of piles in the pile-caisson composite structure under eccentric inclined loading considering different stratum features. In: Frontiers of Structural and Civil Engineering, v. 17, n. 10 (Oktober 2023).
- (2023): Deep reference autoencoder convolutional neural network for damage identification in parallel steel wire cables. In: Structures, v. 57 (November 2023).
- (2023): Mechanical Properties and Dry–Wet Stability of Soda Residue Soil. In: Buildings, v. 13, n. 10 (10 Oktober 2023).
- (2023): Peak Stress Method-Based Fatigue Predictions for Steel Crane Girder Variable-Section Supports. In: Buildings, v. 13, n. 1 (13 Januar 2023).
- (2022): Caisson-Bored Pile Composite Anchorage Foundation for Long-Span Suspension Bridge: Feasibility Study and Parametric Analysis. In: Journal of Bridge Engineering (ASCE), v. 27, n. 12 (Dezember 2022).
- (2021): Multiobjective Land-Use Optimization Allocation in Eucalyptus-Introduced Regions Based on the GMDP–ACO Model. In: Journal of Urban Planning and Development, v. 147, n. 2 (Juni 2021).
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