| Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization W Zhang, C Wu, H Zhong, Y Li, L Wang Geoscience Frontiers 12 (1), 469-477, 2021 | 730 | 2021 |
| State-of-the-art review of soft computing applications in underground excavations W Zhang, R Zhang, C Wu, ATC Goh, S Lacasse, Z Liu, H Liu Geoscience Frontiers 11 (4), 1095-1106, 2020 | 439 | 2020 |
| Efficient reliability analysis of earth dam slope stability using extreme gradient boosting method L Wang, C Wu, L Tang, W Zhang, S Lacasse, H Liu, L Gao Acta Geotechnica 15, 3135-3150, 2020 | 239 | 2020 |
| Soft computing approach for prediction of surface settlement induced by earth pressure balance shield tunneling WG Zhang, HR Li, CZ Wu, YQ Li, ZQ Liu, HL Liu Underground Space 6 (4), 353-363, 2021 | 218 | 2021 |
| Probabilistic stability analysis of earth dam slope under transient seepage using multivariate adaptive regression splines L Wang, C Wu, X Gu, H Liu, G Mei, W Zhang Bulletin of Engineering Geology and the Environment 79, 2763-2775, 2020 | 211 | 2020 |
| Assessment of pile drivability using random forest regression and multivariate adaptive regression splines W Zhang, C Wu, Y Li, L Wang, P Samui Georisk: Assessment and Management of Risk for Engineered Systems and …, 2021 | 203 | 2021 |
| Estimation of diaphragm wall deflections for deep braced excavation in anisotropic clays using ensemble learning R Zhang, C Wu, ATC Goh, T Böhlke, W Zhang Geoscience Frontiers 12 (1), 365-373, 2021 | 125 | 2021 |
| Assessment of basal heave stability for braced excavations in anisotropic clay using extreme gradient boosting and random forest regression W Zhang, R Zhang, C Wu, ATC Goh, L Wang Underground Space 7 (2), 233-241, 2022 | 109 | 2022 |
| Prediction of lining response for twin tunnels constructed in anisotropic clay using machine learning techniques W Zhang, Y Li, C Wu, H Li, ATC Goh, H Liu Underground space 7 (1), 122-133, 2022 | 93 | 2022 |
| Efficient time-variant reliability analysis of Bazimen landslide in the Three Gorges Reservoir Area using XGBoost and LightGBM algorithms W Zhang, C Wu, L Tang, X Gu, L Wang Gondwana Research 123, 41-53, 2023 | 92 | 2023 |
| Prediction of wall deflection induced by braced excavation in spatially variable soils via convolutional neural network C Wu, L Hong, L Wang, R Zhang, S Pijush, W Zhang Gondwana Research 123, 184-197, 2023 | 68 | 2023 |
| Deep learning methods for time-dependent reliability analysis of reservoir slopes in spatially variable soils L Wang, C Wu, Z Yang, L Wang Computers and Geotechnics 159, 105413, 2023 | 65 | 2023 |
| Characteristics analysis of granular landslide using shaking table model test Z Chen, P Yang, H Liu, W Zhang, C Wu Soil Dynamics and Earthquake Engineering 126, 105761, 2019 | 39 | 2019 |
| Probabilistic risk assessment of unsaturated slope failure considering spatial variability of hydraulic parameters L Wang, C Wu, Y Li, H Liu, W Zhang, X Chen KSCE Journal of Civil Engineering 23, 5032-5040, 2019 | 36 | 2019 |
| Soil liquefaction assessment using soft computing approaches based on capacity energy concept Z Chen, H Li, ATC Goh, C Wu, W Zhang Geosciences 10 (9), 330, 2020 | 33 | 2020 |
| State-of-the-art review of soft computing applications in underground excavations. Geosci Front 11: 1095–1106 W Zhang, R Zhang, C Wu, ATC Goh, S Lacasse, Z Liu, H Liu | 25 | 2020 |
| Dynamic assessment of slope stability based on multi‐source monitoring data and ensemble learning approaches: A case study of Jiuxianping landslide W Xu, Y Kang, L Chen, L Wang, C Qin, L Zhang, D Liang, C Wu, W Zhang Geological Journal 58 (6), 2353-2371, 2023 | 23 | 2023 |
| State-of-the-art review of soft computing applications in underground excavations. Geosci Front 11 (4): 1095–1106 W Zhang, R Zhang, C Wu, ATC Goh, S Lacasse, Z Liu, H Liu | 22 | 2020 |
| Soft computing W Zhang, Y Zhang, X Gu, C Wu, L Han, W Zhang, Y Zhang, X Gu, C Wu, ... Application of Soft Computing, Machine Learning, Deep Learning and …, 2022 | 20 | 2022 |
| Application of soft computing, machine learning, deep learning and optimizations in geoengineering and geoscience W Zhang, Y Zhang, X Gu, C Wu, L Han Springer Nature, 2021 | 15 | 2021 |