| Bridge Performance Prediction Based on a Novel SHM‐Data Assimilation Approach considering Cyclicity G Qu, L Sun, H Huang Structural Control and Health Monitoring 2023 (1), 2259575, 2023 | 7 | 2023 |
| Performance prediction for steel bridges using SHM data and bayesian dynamic regression linear model: a novel approach G Qu, L Sun Journal of Bridge Engineering 29 (7), 04024044, 2024 | 3 | 2024 |
| Real-Time Bridge Deflection Prediction Based on a Novel Bayesian Dynamic Difference Model and Nonstationary Data G Qu, M Song, L Sun Journal of Bridge Engineering 29 (9), 04024064, 2024 | 1 | 2024 |
| Behavior Expectation‐Based Anomaly Detection in Bridge Deflection Using AOA‐BiLSTM‐TPA: Considering Temperature and Traffic‐Induced Temporal Patterns G Qu, Y Xia, L Sun, G Xin Structural Control and Health Monitoring 2024 (1), 2337057, 2024 | 1 | 2024 |
| Bayesian dynamic noise model for online bridge deflection prediction considering stochastic modeling error G Qu, M Song, L Sun Journal of Civil Structural Health Monitoring, 1-18, 2024 | | 2024 |
| Bridge Performance Prediction Approach Based on Improved Particle Filter and Structural Health Monitoring Data G Qu, L Sun https://www.researchgate.net/publication …, 2022 | | 2022 |
| Bridge Extreme Stress Prediction Based on Bayesian Fourier Dynamic Models FAN Xueping, QU Guang, LIU Yuefei Journal of Hunan University Natural Sciences 46 (5), 2019 | | 2019 |
| Bridge Extreme Stress Prediction Based on Bayesian Fourier Dynamic Models X Fan, G Qu, Y Liu Hunan University 46 (5), 2019 | | 2019 |
