Protocol for developing ANN models and its application to the assessment of the quality of the ANN model development process in drinking water quality modelling W Wu, GC Dandy, HR Maier Environmental Modelling & Software 54, 108-127, 2014 | 330 | 2014 |
Ensemble flood forecasting: Current status and future opportunities W Wu, R Emerton, Q Duan, AW Wood, F Wetterhall, DE Robertson Wiley Interdisciplinary Reviews: Water 7 (3), e1432, 2020 | 166 | 2020 |
Battle of the water networks II A Marchi, E Salomons, A Ostfeld, Z Kapelan, AR Simpson, AC Zecchin, ... Journal of water resources planning and management 140 (7), 04014009, 2014 | 166 | 2014 |
Accounting for greenhouse gas emissions in multiobjective genetic algorithm optimization of water distribution systems W Wu, AR Simpson, HR Maier Journal of water resources planning and management 136 (2), 146-155, 2010 | 160 | 2010 |
An ANN-based emulation modelling framework for flood inundation modelling: Application, challenges and future directions H Chu, W Wu, QJ Wang, R Nathan, J Wei Environmental Modelling & Software 124, 104587, 2020 | 124 | 2020 |
Mapping dependence between extreme rainfall and storm surge W Wu, K McInnes, J O'grady, R Hoeke, M Leonard, S Westra Journal of Geophysical Research: Oceans 123 (4), 2461-2474, 2018 | 106 | 2018 |
Single-objective versus multiobjective optimization of water distribution systems accounting for greenhouse gas emissions by carbon pricing W Wu, HR Maier, AR Simpson Journal of Water Resources Planning and Management 136 (5), 555-565, 2010 | 106 | 2010 |
Guidelines for studying diverse types of compound weather and climate events E Bevacqua, C De Michele, C Manning, A Couasnon, AFS Ribeiro, ... Earth's Future 9 (11), e2021EF002340, 2021 | 103 | 2021 |
A benchmarking approach for comparing data splitting methods for modeling water resources parameters using artificial neural networks W Wu, RJ May, HR Maier, GC Dandy Water Resources Research 49 (11), 7598-7614, 2013 | 96 | 2013 |
On lack of robustness in hydrological model development due to absence of guidelines for selecting calibration and evaluation data: Demonstration for data‐driven models F Zheng, HR Maier, W Wu, GC Dandy, HV Gupta, T Zhang Water Resources Research 54 (2), 1013-1030, 2018 | 87 | 2018 |
Incorporation of variable-speed pumping in multiobjective genetic algorithm optimization of the design of water transmission systems W Wu, AR Simpson, HR Maier, A Marchi Journal of Water Resources Planning and Management 138 (5), 543-552, 2012 | 87 | 2012 |
Multiobjective optimization of water distribution systems accounting for economic cost, hydraulic reliability, and greenhouse gas emissions W Wu, HR Maier, AR Simpson Water Resources Research 49 (3), 1211-1225, 2013 | 83 | 2013 |
Artificial neural network based hybrid modeling approach for flood inundation modeling S Xie, W Wu, S Mooser, QJ Wang, R Nathan, Y Huang Journal of Hydrology 592, 125605, 2021 | 80 | 2021 |
Improved validation framework and R-package for artificial neural network models GB Humphrey, HR Maier, W Wu, NJ Mount, GC Dandy, RJ Abrahart, ... Environmental Modelling & Software 92, 82-106, 2017 | 69 | 2017 |
Sensitivity of optimal tradeoffs between cost and greenhouse gas emissions for water distribution systems to electricity tariff and generation W Wu, AR Simpson, HR Maier Journal of Water Resources Planning and Management 138 (2), 182-186, 2012 | 57 | 2012 |
Including stakeholder input in formulating and solving real-world optimisation problems: Generic framework and case study W Wu, HR Maier, GC Dandy, R Leonard, K Bellette, S Cuddy, ... Environmental modelling & software 79, 197-213, 2016 | 55 | 2016 |
A multi-class toll-based approach to reduce total emissions on roads for sustainable urban transportation L Perera, RG Thompson, W Wu Sustainable Cities and Society 63, 102435, 2020 | 51 | 2020 |
Streamflow prediction using LASSO-FCM-DBN approach based on hydro-meteorological condition classification H Chu, J Wei, W Wu Journal of Hydrology 580, 124253, 2020 | 50 | 2020 |
A rapid flood inundation modelling framework using deep learning with spatial reduction and reconstruction Y Zhou, W Wu, R Nathan, QJ Wang Environmental Modelling & Software 143, 105112, 2021 | 45 | 2021 |
Exploding the myths: An introduction to artificial neural networks for prediction and forecasting HR Maier, S Galelli, S Razavi, A Castelletti, A Rizzoli, IN Athanasiadis, ... Environmental modelling & software, 105776, 2023 | 43 | 2023 |