| The state of the art of data science and engineering in structural health monitoring Y Bao, Z Chen, S Wei, Y Xu, Z Tang, H Li Engineering 5 (2), 234-242, 2019 | 435 | 2019 |
| Convolutional neural network‐based data anomaly detection method using multiple information for structural health monitoring Z Tang, Z Chen, Y Bao, H Li Structural Control and Health Monitoring 26 (1), e2296, 2019 | 385 | 2019 |
| Identification of spatio‐temporal distribution of vehicle loads on long‐span bridges using computer vision technology Z Chen, H Li, Y Bao, N Li, Y Jin Structural Control and Health Monitoring 23 (3), 517-534, 2016 | 89 | 2016 |
| Analyzing and modeling inter-sensor relationships for strain monitoring data and missing data imputation: a copula and functional data-analytic approach Z Chen, H Li, Y Bao Structural Health Monitoring 18 (4), 1168-1188, 2019 | 78 | 2019 |
| Sparse l1 optimization‐based identification approach for the distribution of moving heavy vehicle loads on cable‐stayed bridges Y Bao, H Li, Z Chen, F Zhang, A Guo Structural Control and Health Monitoring 23 (1), 144-155, 2016 | 64 | 2016 |
| A novel distribution regression approach for data loss compensation in structural health monitoring Z Chen, Y Bao, H Li, BF Spencer Jr Structural Health Monitoring 17 (6), 1473-1490, 2018 | 57 | 2018 |
| LQD-RKHS-based distribution-to-distribution regression methodology for restoring the probability distributions of missing SHM data Z Chen, Y Bao, H Li, BF Spencer Jr Mechanical Systems and Signal Processing 121, 655-674, 2019 | 52 | 2019 |
| Damage identification of long-span bridges based on the correlation of probability distribution of monitored quasi-static responses F Deng, S Wei, X Jin, Z Chen, H Li Mechanical Systems and Signal Processing 186, 109908, 2023 | 19 | 2023 |
| Clarifying and quantifying the geometric correlation for probability distributions of inter-sensor monitoring data: A functional data analytic methodology Z Chen, Y Bao, Z Tang, J Chen, H Li Mechanical Systems and Signal Processing 138, 106540, 2020 | 15 | 2020 |
| Uncertainty quantification for the distribution-to-warping function regression method used in distribution reconstruction of missing structural health monitoring data Z Chen, X Lei, Y Bao, F Deng, Y Zhang, H Li Structural Health Monitoring 20 (6), 3436-3452, 2021 | 10 | 2021 |
| Modelling the spatial distribution of heavy vehicle loads on long-span bridges based on undirected graphical model Z Chen, Y Bao, J Chen, H Li Structure and Infrastructure Engineering 15 (11), 1485-1499, 2019 | 10 | 2019 |
| Functional outlier detection for density-valued data with application to robustify distribution-to-distribution regression X Lei, Z Chen, H Li Technometrics 65 (3), 351-362, 2023 | 8 | 2023 |
| A change-point detection method for detecting and locating the abrupt changes in distributions of damage-sensitive features of SHM data, with application to structural … X Lei, Z Chen, H Li, S Wei Structural Health Monitoring 22 (2), 1161-1179, 2023 | 8 | 2023 |
| The random field model of the spatial distribution of heavy vehicle loads on long-span bridges Z Chen, Y Bao, H Li Health Monitoring of Structural and Biological Systems 2016 9805, 697-709, 2016 | 4 | 2016 |
| Imputing missing strain monitoring data in structural health monitoring Z CHEN, Y BAO, HUI LI Structural Health Monitoring 2017, 2017 | 3 | 2017 |