Li, Jun

Structural damage identification based on autoencoder neural networks and deep learning

Pathirage, C. S. N., Li, J., Li, L., Hao, H., Liu, W., & Ni, P. (2018) · Engineering Structures

Structural Health Monitoring TechniquesInfrastructure Maintenance and Monitoring

Cited by 415

Computer vision based target-free 3D vibration displacement measurement of structures

Shao, Y., Li, L., Li, J., An, S., & Hao, H. (2021) · Engineering Structures

Structural Health Monitoring TechniquesOptical measurement and interference techniques

Cited by 161

Densely connected convolutional networks for vibration based structural damage identification

Wang, R., Li, J., Chencho, An, S., Hao, H., Liu, W., & Li, L. (2021) · Engineering Structures

Structural Health Monitoring TechniquesInfrastructure Maintenance and Monitoring

Cited by 62

Damage Identification and Optimal Sensor Placement for Structures under Unknown Traffic-Induced Vibrations

Li, J., Hao, H., & Chen, Z. (2017) · Journal of Aerospace Engineering

Structural Health Monitoring TechniquesTransport Systems and Technology

Cited by 44

Simultaneous identification of structural damage and nonlinear hysteresis parameters by an evolutionary algorithm-based artificial neural network

Ding, Z., Li, J., & Hao, H. (2022) · International Journal of Non-Linear Mechanics

Structural Health Monitoring TechniquesControl Systems and Identification

Cited by 22