Shunlong Li 
- (2023): Mesoscopic pore characteristics analysis of aged bridge concrete based on X-ray computed tomography. In: Journal of Building Engineering, v. 78 (November 2023).
- (2023): Stiffness identification of fixing device in CRTS II slab track based on long-term monitoring data. In: Structural Health Monitoring, v. 23, n. 2 (Juli 2023).
- (2023): Decoupling of vehicle-induced structural responses of highway bridges based on bipartite matching U- Net. In: Engineering Structures, v. 286 (Juli 2023).
- (2016): Real-Time Output-Only Identification of Time-Varying Cable Tension from Accelerations via Complexity Pursuit. In: Journal of Structural Engineering (ASCE), v. 142, n. 1 (Januar 2016).
- (2023): Anchor‐free arbitrary‐oriented construction vehicle detection with orientation‐aware Gaussian heatmap. In: Computer-Aided Civil and Infrastructure Engineering, v. 38, n. 7 (August 2023).
- (2022): Excavator joint node-based pose estimation using lightweight fully convolutional network. In: Automation in Construction, v. 141 (September 2022).
- (2022): Robust correlation mapping of train-induced stresses for high-speed railway bridge using convolutional denoising autoencoder. In: Structural Health Monitoring, v. 22, n. 2 (Mai 2022).
- (2022): Destructive testing and simulation for newly designed full-scale high-speed railway box girder. In: Construction and Building Materials, v. 328 (April 2022).
- (2019): Long-term friction performance monitoring of sliding layer in China railway track system Ⅱ slab track on bridge superstructure. In: Structural Health Monitoring, v. 22, n. 1 (November 2019).
- (2022): Parameters optimization and performance evaluation of multiple tuned mass dampers to mitigate the vortex-induced vibration of a long-span bridge. In: Structures, v. 38 (April 2022).
- (2022): Restoration of missing structural health monitoring data using spatiotemporal graph attention networks. In: Structural Health Monitoring, v. 21, n. 5 (März 2022).
- (2022): Real-time cable tension estimation from acceleration measurements using wireless sensors with packet data losses: analytics with compressive sensing and sparse component analysis. In: Journal of Civil Structural Health Monitoring, v. 12, n. 4 (23 Juli 2022).
- (2021): Novelty detection of cable-stayed bridges based on cable force correlation exploration using spatiotemporal graph convolutional networks. In: Structural Health Monitoring, v. 20, n. 4 (April 2021).
- (2015): Condition assessment for high-speed railway bridges based on train-induced strain response. In: Structural Engineering and Mechanics, v. 54, n. 2 (April 2015).
- (2021): Bayesian network-based vulnerability assessment of a large-scale bridge network using improved ORDER-II-Dijkstra algorithm. In: Structure and Infrastructure Engineering, v. 17, n. 6 (August 2021).
- (2021): Geometric characteristics of corrosion pits on high-strength steel wires in bridge cables under applied stress. In: Structure and Infrastructure Engineering, v. 17, n. 1 (März 2021).
- (2020): Dense construction vehicle detection based on orientation-aware feature fusion convolutional neural network. In: Automation in Construction, v. 112 (April 2020).
- (2019): Technical Specifications of Structural Health Monitoring for Highway Bridges: New Chinese Structural Health Monitoring Code. In: Frontiers in Built Environment, v. 4 (Februar 2019).
- (2016): Damage Detection for SMC Benchmark Problem: A Subspace-Based Approach. In: International Journal of Structural Stability and Dynamics, v. 16, n. 4 (März 2016).
- (2010): Modal identification of bridges under varying environmental conditions: Temperature and wind effects. In: Structural Control and Health Monitoring, v. 17, n. 5 (August 2010).
- (2012): Long-term condition assessment of suspenders under traffic loads based on structural monitoring system: Application to the Tsing Ma Bridge. In: Structural Control and Health Monitoring, v. 19, n. 1 (Februar 2012).
- (2014): SMC structural health monitoring benchmark problem using monitored data from an actual cable-stayed bridge. In: Structural Control and Health Monitoring, v. 21, n. 2 (Februar 2014).
- (2018): Identification framework for cracks on a steel structure surface by a restricted Boltzmann machines algorithm based on consumer-grade camera images. In: Structural Control and Health Monitoring, v. 25, n. 2 (Februar 2018).
- (2015): Probabilistic deterioration model of high-strength steel wires and its application to bridge cables. In: Structure and Infrastructure Engineering, v. 11, n. 9 (September 2015).
- (2012): Reliability assessment of cable-stayed bridges based on structural health monitoring techniques. In: Structure and Infrastructure Engineering, v. 8, n. 9 (September 2012).
- (2014): A novel Bayesian extreme value distribution model of vehicle loads incorporating de-correlated tail fitting: Theory and application to the Nanjing 3rd Yangtze River Bridge. In: Engineering Structures, v. 59 (Februar 2014).
- (2017): Strain features and condition assessment of orthotropic steel deck cable-supported bridges subjected to vehicle loads by using dense FBG strain sensors. In: Smart Materials and Structures, v. 26, n. 10 (Oktober 2017).
- (2018): Condition assessment of cables by pattern recognition of vehicle-induced cable tension ratio. In: Engineering Structures, v. 155 (Januar 2018).
- (2017): Scour Depth Determination of Bridge Piers Based on Time-Varying Modal Parameters: Application to Hangzhou Bay Bridge. In: Journal of Bridge Engineering (ASCE), v. 22, n. 12 (Dezember 2017).
- (2018): Cable force monitoring and prediction for cable group of long-span cable-supported bridges. In: Journal of Civil Structural Health Monitoring, v. 8, n. 4 (August 2018).
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