| Long lead-time daily and monthly streamflow forecasting using machine learning methods M Cheng, F Fang, T Kinouchi, IM Navon, CC Pain Journal of Hydrology 590, 125376, 2020 | 176 | 2020 |
| Data-driven modelling of nonlinear spatio-temporal fluid flows using a deep convolutional generative adversarial network M Cheng, F Fang, CC Pain, IM Navon Computer Methods in Applied Mechanics and Engineering 365, 113000, 2020 | 75 | 2020 |
| Modelling hydrology and water quality processes in the Pengxi River basin of the Three Gorges Reservoir using the soil and water assessment tool Y Shi, G Xu, Y Wang, BA Engel, H Peng, W Zhang, M Cheng, M Dai Agricultural water management 182, 24-38, 2017 | 68 | 2017 |
| Performance assessment of spatial interpolation of precipitation for hydrological process simulation in the Three Gorges Basin M Cheng, Y Wang, B Engel, W Zhang, H Peng, X Chen, H Xia Water 9 (11), 838, 2017 | 45 | 2017 |
| An advanced hybrid deep adversarial autoencoder for parameterized nonlinear fluid flow modelling M Cheng, F Fang, CC Pain, IM Navon Computer Methods in Applied Mechanics and Engineering 372, 113375, 2020 | 38 | 2020 |
| A real-time flow forecasting with deep convolutional generative adversarial network: Application to flooding event in Denmark M Cheng, F Fang, IM Navon, CC Pain Physics of Fluids 33 (5), 2021 | 24 | 2021 |
| Accurately early warning to water quality pollutant risk by mobile model system with optimization technology Y Wang, BA Engel, P Huang, H Peng, X Zhang, M Cheng, W Zhang Journal of Environmental Management 208, 122-133, 2018 | 24 | 2018 |
| Spatio‐temporal Hourly and Daily Ozone Forecasting in China Using a Hybrid Machine Learning Model: Autoencoder and Generative Adversarial Networks M Cheng, F Fang, IM Navon, J Zheng, X Tang, J Zhu, C Pain Journal of Advances in Modeling Earth Systems 14 (3), e2021MS002806, 2022 | 19 | 2022 |
| Assessment of debris inputs from land into the river in the Three Gorges Reservoir Area, China J Wan, Y Wang, M Cheng, BA Engel, W Zhang, H Peng Environmental Science and Pollution Research 25, 5539-5549, 2018 | 10 | 2018 |
| Assessing uncertainty and heterogeneity in machine learning-based spatiotemporal ozone prediction in Beijing-Tianjin-Hebei region in China M Cheng, F Fang, IM Navon, J Zheng, J Zhu, C Pain Science of The Total Environment 881, 163146, 2023 | 5 | 2023 |
| Ensemble Kalman filter for GAN-ConvLSTM based long lead-time forecasting M Cheng, F Fang, IM Navon, C Pain Journal of Computational Science 69, 102024, 2023 | 3 | 2023 |
Fangxin FangSenior Research Fellow, Earth Science and Engineering, Imperial College LondonVerified email at imperial.ac.uk
