Yuequan Bao 
- : Normalising flow-based vehicle load modeling for bridges. In: Structure and Infrastructure Engineering.
- (2023): Machine learning-based stochastic subspace identification method for structural modal parameters. In: Engineering Structures, v. 274 (Januar 2023).
- (2021): Machine‐learning‐based methods for output‐only structural modal identification. In: Structural Control and Health Monitoring, v. 28, n. 12 (September 2021).
- (2021): The 1st International Project Competition for Structural Health Monitoring (IPC-SHM, 2020): A summary and benchmark problem. In: Structural Health Monitoring, v. 20, n. 4 (April 2021).
- (2021): Machine learning paradigm for structural health monitoring. In: Structural Health Monitoring, v. 20, n. 4 (April 2021).
- (2021): Group sparsity-aware convolutional neural network for continuous missing data recovery of structural health monitoring. In: Structural Health Monitoring, v. 20, n. 4 (April 2021).
- (2021): Attribute-based structural damage identification by few-shot meta learning with inter-class knowledge transfer. In: Structural Health Monitoring, v. 20, n. 4 (April 2021).
- (2010): Compressive sampling for accelerometer signals in structural health monitoring. In: Structural Health Monitoring, v. 10, n. 3 (Juni 2010).
- (2011): Dempster–Shafer evidence theory approach to structural damage detection. In: Structural Health Monitoring, v. 11, n. 1 (Januar 2011).
- (2012): Compressive sampling–based data loss recovery for wireless sensor networks used in civil structural health monitoring. In: Structural Health Monitoring, v. 12, n. 1 (September 2012).
- (2017): Compressive sensing of wireless sensors based on group sparse optimization for structural health monitoring. In: Structural Health Monitoring, v. 17, n. 4 (Juli 2017).
- (2017): A novel distribution regression approach for data loss compensation in structural health monitoring. In: Structural Health Monitoring, v. 17, n. 6 (Dezember 2017).
- (2018): Computer vision and deep learning–based data anomaly detection method for structural health monitoring. In: Structural Health Monitoring, v. 18, n. 2 (Januar 2018).
- (2018): Analyzing and modeling inter-sensor relationships for strain monitoring data and missing data imputation: a copula and functional data-analytic approach. In: Structural Health Monitoring, v. 18, n. 4 (April 2018).
- (2018): Compressive-sensing data reconstruction for structural health monitoring: a machine-learning approach. In: Structural Health Monitoring, v. 19, n. 1 (Oktober 2018).
- (2019): A machine learning–based approach for adaptive sparse time–frequency analysis used in structural health monitoring. In: Structural Health Monitoring, v. 19, n. 6 (Dezember 2019).
- (2011): Fractal Dimension-Based Damage Detection Method for Beams with a Uniform Cross-Section. FD-based damage detection method for beams. In: Computer-Aided Civil and Infrastructure Engineering, v. 26, n. 3 ( 2011).
- (2012): Data Fusion-based Structural Damage Detection Under Varying Temperature Conditions. In: International Journal of Structural Stability and Dynamics, v. 12, n. 6 (Dezember 2012).
- (2019): Modelling the spatial distribution of heavy vehicle loads on long-span bridges based on undirected graphical model. In: Structure and Infrastructure Engineering, v. 15, n. 11 (Juni 2019).
- (2019): Automatic seismic damage identification of reinforced concrete columns from images by a region-based deep convolutional neural network. In: Structural Control and Health Monitoring, v. 26, n. 3 (Februar 2019).
- (2019): Convolutional neural network-based data anomaly detection method using multiple information for structural health monitoring. In: Structural Control and Health Monitoring, v. 26, n. 1 (Januar 2019).
- (2013): A data-driven approach for seismic damage detection of shear-type building structures using the fractal dimension of time-frequency features. In: Structural Control and Health Monitoring, v. 20, n. 9 (September 2013).
- (2015): Compressive sensing-based lost data recovery of fast-moving wireless sensing for structural health monitoring. In: Structural Control and Health Monitoring, v. 22, n. 3 (März 2015).
- (2016): Identification of spatio-temporal distribution of vehicle loads on long-span bridges using computer vision technology. In: Structural Control and Health Monitoring, v. 23, n. 3 (März 2016).
- (2017): Identification of time-varying cable tension forces based on adaptive sparse time-frequency analysis of cable vibrations. In: Structural Control and Health Monitoring, v. 24, n. 3 (März 2017).
- (2018): Ice monitoring of a full-scale wind turbine blade using ultrasonic guided waves under varying temperature conditions. In: Structural Control and Health Monitoring, v. 25, n. 4 (April 2018).
- (2012): Investigation of Temperature Effects on Modal Parameters of the China National Aquatics Center. In: Advances in Structural Engineering, v. 15, n. 7 (Juli 2012).
- (2018): Condition assessment of cables by pattern recognition of vehicle-induced cable tension ratio. In: Engineering Structures, v. 155 (Januar 2018).
- (2018): Experimental and numerical study on structural performance of reinforced concrete box sewer with localized extreme defect. In: Underground Space, v. 3, n. 2 (Juni 2018).
- (2014): Emerging data technology in structural health monitoring: compressive sensing technology. In: Journal of Civil Structural Health Monitoring, v. 4, n. 2 (Januar 2014).
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