| Machine learning aided stochastic reliability analysis of spatially variable slopes X He, H Xu, H Sabetamal, D Sheng Computers and Geotechnics 126, 103711, 2020 | 94 | 2020 |
| An improved VOF-DEM model for soil-water interaction with particle size scaling X He, H Xu, W Li, D Sheng Computers and Geotechnics 128, 103818, 2020 | 37 | 2020 |
| Applications of machine learning in mechanised tunnel construction: A systematic review F Shan, X He, H Xu, DJ Armaghani, D Sheng Eng 4 (2), 1516-1535, 2023 | 19 | 2023 |
| A pre-trained deep-learning surrogate model for slope stability analysis with spatial variability H Xu, X He, B Pradhan, D Sheng Soils and Foundations 63 (3), 101321, 2023 | 12 | 2023 |
| Tunnelling-induced ground surface settlement: A comprehensive review with particular attention to artificial intelligence technologies G Niu, X He, H Xu, S Dai Natural Hazards Research 4 (1), 148-168, 2024 | 10 | 2024 |
| Ready-to-use deep-learning surrogate models for problems with spatially variable inputs and outputs X He, H Xu, D Sheng Acta Geotechnica 18 (4), 1681-1698, 2023 | 10 | 2023 |
| Rainfall-induced landslides from initialization to post-failure flows: Stochastic analysis with machine learning H Xu, X He, D Sheng Mathematics 10 (23), 4426, 2022 | 9 | 2022 |
| Machine learning in the stochastic analysis of slope stability: a state-of-the-art review H Xu, X He, F Shan, G Niu, D Sheng Modelling 4 (4), 426-453, 2023 | 8 | 2023 |
| Applied sciences H Xu, J Zhou, PG Asteris, DJ Armaghani, MM Tahir | 7 | 2019 |
| Development of rock classification systems: a comprehensive review with emphasis on artificial intelligence techniques G Niu, X He, H Xu, S Dai Eng 5 (1), 217-245, 2024 | 6 | 2024 |
| Real-time forecasting of TBM cutterhead torque and thrust force using aware-context recurrent neural networks F Shan, X He, DJ Armaghani, H Xu, X Liu, D Sheng Tunnelling and Underground Space Technology 152, 105906, 2024 | 3 | 2024 |
| 3D Simulation of Debris Flows with the Coupled Eulerian–Lagrangian Method and an Investigation of the Runout H Xu, X He, F Shan, G Niu, D Sheng Mathematics 11 (16), 3493, 2023 | 1 | 2023 |
| Stability of slopes and runout of landslides: stochastic analyses with machine learning H Xu PQDT-Global, 2023 | 1 | 2023 |
| Deep-learning surrogate models for the stability of a wide rectangular tunnel HC Nguyen, H Xu, M Nazem, R Sousa, J Kowalski, Q Zhao Computers and Geotechnics 179, 106946, 2025 | | 2025 |
| Mechanical response of Q2 loess stratum surrounding a hydraulic tunnel under dry-wet cycles S Peng, C Zhu, L Zhai, H Xu, Y Li, G Deng, M Ge, Y Liu Journal of Rock Mechanics and Geotechnical Engineering 16 (12), 4955-4970, 2024 | | 2024 |
| Data-driven surrogate models for bearing capacity of spatially random soils HC Nguyen, J Kowalski, H Xu, X He, X Chen, RL Sousa ARMA/DGS/SEG International Geomechanics Symposium, ARMA-IGS-2024-0388, 2024 | | 2024 |
| Natural Hazards Research G Niu, X He, H Xu, S Dai | | |
| Deep Learning for the Stability of Spatially Variable Slopes H Nguyen, H Xu, X He, J Kowalski Available at SSRN 4897591, 0 | | |
| Prediction of Tunnelling-Induced Ground Surface Settlement: A Simplified Numerical Approach G Niu, S Dai, H Xu, X He Available at SSRN 4776791, 0 | | |
