Qipeng Zhang 
- (2024): Small-sample data-driven lightweight convolutional neural network for asphalt pavement defect identification. Dans: Case Studies in Construction Materials, v. 21 (décembre 2024).
- (2024): CNN-based network with multi-scale context feature and attention mechanism for automatic pavement crack segmentation. Dans: Automation in Construction, v. 164 (août 2024).
- (2024): Study on the correlation between spatial variability of asphalt mixture material parameters and fracture performance. Dans: Case Studies in Construction Materials, v. 20 (juillet 2024).
- (2023): Modified fractional-Zener model—Numerical application in modeling the behavior of asphalt mixtures. Dans: Construction and Building Materials, v. 388 (juillet 2023).
- (2024): Lightweight convolutional neural network driven by small data for asphalt pavement crack segmentation. Dans: Automation in Construction, v. 158 (février 2024).
- (2023): Application of a stochastic damage model to predict the variability of creep behavior for asphalt mixtures. Dans: Case Studies in Construction Materials, v. 18 (juillet 2023).
- (2022): Experimental and analytical methods for evaluating the high temperature viscoelastic properties of fine aggregate matrix. Dans: Materials and Structures, v. 55, n. 7 (5 août 2022).
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