Kejie Jiang 
- (2024): Robust and versatile vision-based dynamic displacement monitoring of natural feature targets in large-scale structures. In: Journal of Civil Structural Health Monitoring, v. 14, n. 8 (Juni 2024).
- (2022): Lost data neural semantic recovery framework for structural health monitoring based on deep learning. In: Computer-Aided Civil and Infrastructure Engineering, v. 37, n. 9 (Juli 2022).
- (2021): Structural dynamic response reconstruction and virtual sensing using a sequence to sequence modeling with attention mechanism. In: Automation in Construction, v. 131 (November 2021).
- (2021): A decentralized unsupervised structural condition diagnosis approach using deep auto‐encoders. In: Computer-Aided Civil and Infrastructure Engineering, v. 36, n. 6 (27 Mai 2021).
- (2020): Data-driven ultimate conditions prediction and stress-strain model for FRP-confined concrete. In: Composite Structures, v. 242 (Juni 2020).
- (2020): Identification of nonlinear hysteretic systems using sequence model‐based optimization. In: Structural Control and Health Monitoring, v. 27, n. 4 (Januar 2020).
- (2019): Micromechanical Fracture Models of Q345 Steel and Its Weld. In: Journal of Materials in Civil Engineering (ASCE), v. 31, n. 11 (November 2019).
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