[1] Sheng Li, Liang Jin, Yang Qiu, Mimi Zhang, Jie Wang. Signal Anomaly Detection of Bridge SHM System Based on Two-Stage Deep Convolutional Neural Networks [J]. Structural Engineering International, 2021. （SCI）

[2] Sheng Li, Lizhi Sun. Detectability of Bridge-Structural Damage Based on Fiber-Optic Sensing through Deep-Convolutional Neural Networks [J]. Journal of Bridge Engineering,25(4),04020012,2019. （SCI）

[3] Weibing Gan, Sheng Li, Zhengying Li, Lizhi Sun. Identification of Ground Intrusion in Underground Structures Based on Distributed Structural Vibration Detected by Ultra-Weak FBG Sensing Technology [J]. Sensors, 19(9):2160,2019. （SCI）

[4] Qiuming Nan, Sheng Li, Yiqiang Yao, Zhengying Li, Honghai Wang, Lixin Wang, Lizhi Sun. A Novel Monitoring Approach for Train Tracking and Incursion Detection in Underground Structures Based on Ultra-Weak FBG Sensing Array [J]. Sensors, 19(12):2666,2019. （SCI）

[5] Sheng Li, Xiang Zuo, Zhengying Li, Honghai Wang, Lizhi Sun. Combining SDAE Network with Improved DTW Algorithm for Similarity Measure of Ultra-Weak FBG Vibration Responses in Underground Structures [J]. Sensors,20(8):2179, 2020. （SCI）

[6] Sheng Li, Wenbin Hu. A Novel Bridge Curve Mode Measurement Technique Based on FOG [J]. Optik,126(23):4175-4178, 2015. （SCI）

[7] Sheng Li, Junjie Ma, Jun Hu. Rockfall Hazard Alarm Strategy Based on FBG Smart Passive Net Structure [J]. Photonic Sensors,5(1):19-23,2015. （SCI）