| Gaussian process regression-based forecasting model of dam deformation C Lin, T Li, S Chen, X Liu, C Lin, S Liang Neural Computing and Applications 31 (12), 8503-8518, 2019 | 89 | 2019 |
| Multi-kernel optimized relevance vector machine for probabilistic prediction of concrete dam displacement S Chen, C Gu, C Lin, K Zhang, Y Zhu Engineering with Computers, 2020 | 76 | 2020 |
| Prediction, monitoring, and interpretation of dam leakage flow via adaptative kernel extreme learning machine S Chen, C Gu, C Lin, Y Wang, MA Hariri-Ardebili Measurement 166, 108161, 2020 | 67 | 2020 |
| Prediction of arch dam deformation via correlated multi-target stacking S Chen, C Gu, C Lin, MA Hariri-Ardebili Applied Mathematical Modelling 91, 1175-1193, 2021 | 54 | 2021 |
| Safety monitoring model of a super-high concrete dam by using RBF neural network coupled with kernel principal component analysis S Chen, C Gu, C Lin, E Zhao, J Song Mathematical Problems in Engineering 2018, 2018 | 38 | 2018 |
| A deformation separation method for gravity dam body and foundation based on the observed displacements C Lin, T Li, X Liu, L Zhao, S Chen, H Qi Structural Control and Health Monitoring 26 (2), e2304, 2019 | 36 | 2019 |
| Structural identification in long-term deformation characteristic of dam foundation using meta-heuristic optimization techniques C Lin, T Li, S Chen, C Lin, X Liu, L Gao, T Sheng Advances in Engineering Software 148, 102870, 2020 | 29 | 2020 |
| Response of low-percentage FRC slabs under impact loading: Experimental, numerical, and soft computing methods K Daneshvar, MJ Moradi, M Amooie, S Chen, G Mahdavi, ... Structures 27, 975-988, 2020 | 26 | 2020 |
| A Novel Seepage Behavior Prediction and Lag Process Identification Method for Concrete Dams Using HGWO-XGBoost Model K Zhang, C Gu, Y Zhu, S Chen, B Dai, Y Li, X Shu IEEE Access 9, 23311-23325, 2021 | 23 | 2021 |
| Long-term viscoelastic deformation monitoring of a concrete dam: A multi-output surrogate model approach for parameter identification C Lin, T Li, S Chen, L Yuan, P van Gelder, N Yorke-Smith Engineering Structures 266, 114553, 2022 | 16 | 2022 |
| On the use of an improved artificial fish swarm algorithm-backpropagation neural network for predicting dam deformation behavior B Dai, H Gu, Y Zhu, S Chen, EF Rodriguez Complexity 2020, 1-13, 2020 | 16 | 2020 |
| Machine learning-aided PSDM for dams with stochastic ground motions MA Hariri-Ardebili, S Chen, G Mahdavi Advanced Engineering Informatics 52, 101615, 2022 | 13 | 2022 |
| An Explainable Probabilistic Model for Health Monitoring of Concrete Dam via Optimized Sparse Bayesian Learning and Sensitivity Analysis C Lin, S Chen, MA Hariri-Ardebili, T Li Structural Control and Health Monitoring 2023, 2023 | 6 | 2023 |
| 基于FAHP-EWM-TOPSIS的大坝风险识别模型 陈悦， 胡雅婷， 汪程， 尹文中， 陈斯煜 水利水电技术 50 (2), 106-111, 2019 | 2 | 2019 |
| An Automated Framework for the Health Monitoring of Dams Using Deep Learning Algorithms and Numerical Methods Y Chao, C Lin, T Li, H Qi, D Li, S Chen Applied Sciences 13 (22), 12457, 2023 | 1 | 2023 |
| 基于 PCA-RBF 神经网络的混凝土坝位移趋势性预测模型 陈斯煜， 戴波， 林潮宁， 曹文翰 水利水电技术 49 (04), 45-49, 2018 | 1 | 2018 |
chaoning linPhD candidate, hydaurlic engineering, Hohai UniversityVerified email at hhu.edu.cn
