An interpretable ensemble learning method to predict the compressive strength of concrete JF Jia, XZ Chen, YL Bai, YL Li, ZH Wang Structures 46, 201-213, 2022 | 22 | 2022 |
A vibration-based 1DCNN-BiLSTM model for structural state recognition of RC beams X Chen, J Jia, J Yang, Y Bai, X Du Mechanical Systems and Signal Processing 203, 110715, 2023 | 16 | 2023 |
Nondestructive Testing and Health Monitoring Techniques for Structural Effective Prestress J Jia, L Zhang, J Ou, X Chen Structural Control and Health Monitoring 2023 (1), 8940008, 2023 | 8 | 2023 |
A two-stage mitigation method for optical turbulence-induced errors in vision-based structural displacement measurement X Zhang, W Zhou, X Chen, Y Wang, Q Wu Measurement 242, 116261, 2025 | | 2025 |
Predicting shear strength in UHPC beams through an innovative neural network with SHAP interpretation W Lv, J Jia, X Chen, X Yao, Y Bai Case Studies in Construction Materials 20, e03211, 2024 | | 2024 |
Damage Identification of Chemical Milling Stiffened Panel Based on Lamb Wave and Inception-Convolutional Neural Network X Jiang, X Chen, W Zhou, X Jiang, J Xie, X Zhang, Y Zhang, Z Yang IEEE Transactions on Instrumentation and Measurement, 2024 | | 2024 |
An Electromechanical Impedance‐Based Imaging Algorithm for Damage Identification of Chemical Milling Stiffened Panel X Jiang, W Zhou, X Chen, X Zhang, J Xie, T Tang, Y Zhang, Z Yang Structural Control and Health Monitoring 2024 (1), 4554472, 2024 | | 2024 |