A deep convolutional neural network model for rapid prediction of fluvial flood inundation S Kabir, S Patidar, X Xia, Q Liang, J Neal, G Pender Journal of Hydrology 590, 125481, 2020 | 178 | 2020 |
An efficient and stable hydrodynamic model with novel source term discretisation schemes for overland flow and flood simulations X Xia, Q Liang, X Ming, J Hou Water Resources Research 53, 2017 | 164 | 2017 |
Real‐time flood forecasting based on a high‐performance 2D hydrodynamic model and numerical weather predictions X Ming, Q Liang, X Xia, D Li, HJ Fowler Water Resources Research, e2019WR025583, 2020 | 146 | 2020 |
A full-scale fluvial flood modelling framework based on a high-performance integrated hydrodynamic modelling system (HiPIMS) X Xia, Q Liang, X Ming Advances in Water Resources 132, 103392, 2019 | 138 | 2019 |
Neurocomputing in surface water hydrology and hydraulics: A review of two decades retrospective, current status and future prospects M Zounemat-Kermani, E Matta, A Cominola, X Xia, Q Zhang, Q Liang, ... Journal of Hydrology 588, 125085, 2020 | 111 | 2020 |
City-scale hydrodynamic modelling of urban flash floods: the issues of scale and resolution Y Xing, Q Liang, G Wang, X Ming, X Xia Natural Hazards 96, 473-496, 2019 | 77 | 2019 |
A new efficient implicit scheme for discretising the stiff friction terms in the shallow water equations X Xia, Q Liang Advances in water resources 117, 87-97, 2018 | 77 | 2018 |
A GPU-accelerated smoothed particle hydrodynamics (SPH) model for the shallow water equations X Xia, Q Liang Environmental Modelling & Software 75, 28-43, 2015 | 75 | 2015 |
Balancing the source terms in a SPH model for solving the shallow water equations X Xia, Q Liang, M Pastor, W Zou, YF Zhuang Advances in water resources 59, 25-38, 2013 | 55 | 2013 |
Catchment-scale high-resolution flash flood simulation using the GPU-based technology Q Liang, X Xia, J Hou Procedia Engineering 154, 975-981, 2016 | 53 | 2016 |
A novel 1D-2D coupled model for hydrodynamic simulation of flows in drainage networks Q Li, Q Liang, X Xia Advances in Water Resources 137, 103519, 2020 | 48 | 2020 |
A new depth-averaged model for flow-like landslides over complex terrains with curvatures and steep slopes X Xia, Q Liang Engineering Geology 234, 174-191, 2018 | 47 | 2018 |
A quantitative multi-hazard risk assessment framework for compound flooding considering hazard inter-dependencies and interactions X Ming, Q Liang, R Dawson, X Xia, J Hou Journal of Hydrology 607, 127477, 2022 | 40 | 2022 |
Efficient urban flood simulation using a GPU-accelerated SPH model Q Liang, X Xia, J Hou Environmental Earth Sciences, 2015 | 32 | 2015 |
Recommendations for improving integration in national end-to-end flood forecasting systems: An overview of the FFIR (Flooding From Intense Rainfall) programme DLA Flack, CJ Skinner, L Hawkness-Smith, G O’Donnell, RJ Thompson, ... Water 11 (4), 725, 2019 | 29 | 2019 |
New prospects for computational hydraulics by leveraging high-performance heterogeneous computing techniques Q Liang, L Smith, X Xia Journal of Hydrodynamics 28 (6), 977-985, 2016 | 22 | 2016 |
Contradiction between the C‐property and mass conservation in adaptive grid based shallow flow models: cause and solution Q Liang, J Hou, X Xia International Journal for Numerical Methods in Fluids 78 (1), 17-36, 2015 | 19 | 2015 |
Development of an SDG interlinkages analysis model at the river basin scale: a case study in the Luanhe River Basin, China X Zhou, M Moinuddin, F Renaud, B Barrett, J Xu, Q Liang, J Zhao, X Xia, ... Sustainability Science 17 (4), 1405-1433, 2022 | 15 | 2022 |
A multi-scale mapping approach based on a deep learning CNN model for reconstructing high-resolution urban DEMs L Jiang, Y Hu, X Xia, Q Liang, A Soltoggio, SR Kabir Water 12 (5), 1369, 2020 | 15 | 2020 |
Large-scale flood risk assessment under different development strategies: the Luanhe River Basin in China J Zhao, H Chen, Q Liang, X Xia, J Xu, T Hoey, B Barrett, FG Renaud, ... Sustainability Science, 1-20, 2021 | 12 | 2021 |