Addressing challenges of urban water management in Chinese sponge cities via nature-based solutions Y Qi, FKS Chan, C Thorne, E O’Donnell, C Quagliolo, E Comino, ... Water 12 (10), 2788, 2020 | 134 | 2020 |
A critical review of microplastic pollution in urban freshwater environments and legislative progress in China: recommendations and insights Y Xu, FKS Chan, J He, M Johnson, C Gibbins, P Kay, T Stanton, Y Xu, ... Critical Reviews in Environmental Science and Technology 51 (22), 2637-2680, 2021 | 69 | 2021 |
Multistage analysis of hydrologic alterations in the Yellow River, China T Sun, ML Feng River research and applications 29 (8), 991-1003, 2013 | 41 | 2013 |
Effects of thermopeaking on the thermal response of alpine river systems to heatwaves MP Meili Feng, Guido Zolezzi Science of the Total Environment 612, 1266-1275, 2017 | 39* | 2017 |
Factors Underlying Spatiotemporal Variations in Atmospheric PM2.5 Concentrations in Zhejiang Province, China X Li, C Wu, ME Meadows, Z Zhang, X Lin, Z Zhang, Y Chi, M Feng, E Li, ... Remote Sensing 13 (15), 3011, 2021 | 26 | 2021 |
Potency of the pandemic on air quality: an urban resilience perspective M Feng, J Ren, J He, FKS Chan, C Wu Science of the Total Environment 805, 150248, 2022 | 25 | 2022 |
Exploring the Development of the Sponge City Program (SCP): The Case of Gui'an New District, Southwest China Y Qi, FKS Chan, EC O'Donnell, M Feng, Y Sang, CR Thorne, J Griffiths, ... Frontiers in Water 3, 676965, 2021 | 25 | 2021 |
Resilience changes in watershed systems: A new perspective to quantify long-term hydrological shifts under perturbations M Qi, M Feng, T Sun, W Yang Journal of Hydrology 539, 281-289, 2016 | 25 | 2016 |
Sponge City Program (SCP) and urban flood management (UFM)—the case of Guiyang, SW China Y Qi, FK Shun Chan, J Griffiths, M Feng, Y Sang, E O’Donnell, M Hutchins, ... Water 13 (19), 2784, 2021 | 20 | 2021 |
Modeling net ecosystem metabolism influenced by artificial hydrological regulation: An application to the Yellow River Estuary, China S Tang, T Sun, XM Shen, M Qi, ML Feng Ecological Engineering 76, 84-94, 2015 | 20 | 2015 |
Net Ecosystem Metabolism Simulation by Dynamic Dissolved Oxygen Model in Yellow River Estuary, China ML Feng, T Sun, LX Zhang, XM Shen Procedia Environmental Sciences 13, 807-817, 2012 | 17 | 2012 |
UAV-based geomorphological evolution of the Terminus Area of the Hailuogou Glacier, Southeastern Tibetan Plateau between 2017 and 2020 S Xu, P Fu, D Quincey, M Feng, S Marsh, Q Liu Geomorphology 411, 108293, 2022 | 14 | 2022 |
Implementing urban agriculture as nature-based solutions in China: Challenges and global lessons Z Zhu, FKS Chan, G Li, M Xu, M Feng, YG Zhu Soil & Environmental Health 2 (1), 100063, 2024 | 10 | 2024 |
Pixel level spatial variability modeling using SHAP reveals the relative importance of factors influencing LST Y Hu, C Wu, ME Meadows, M Feng Environmental Monitoring and Assessment 195 (3), 407, 2023 | 10 | 2023 |
Human activity recognition using 3D orthogonally-projected EfficientNet on radar Time-Range-Doppler signature Z Wang, C Yao, J Ren, M Feng, X Jiang 2022 IEEE 2nd International Conference on Software Engineering and …, 2022 | 7 | 2022 |
Addressing challenges of urban water management in Chinese Sponge Cities via nature-based solutions. Water, 12 (10), 2788 Y Qi, FKS Chan, C Thorne, E O’Donnell, C Quagliolo, E Comino, ... | 7 | 2020 |
Home-buying decisions influenced by the implementation of nature-based solutions: The case of Sponge City, Guiyang SW China S Liu, FKS Chan, WY Chen, NR Netusil, M Feng, L Xie, Y Qi, S Xu, ... Nature-Based Solutions 5, 100115, 2024 | 6 | 2024 |
Polyphonic sound event detection using capsule neural network on multi-type-multi-scale time-frequency representation W Jin, J Liu, M Feng, J Ren 2022 IEEE 2nd International conference on software engineering and …, 2022 | 6 | 2022 |
Estimating water residence time distribution in river networks by boosted regression trees (BRT) model M Feng, M Pusch, M Venohr Hydrology and Earth System Sciences Discussions 2018, 1-27, 2018 | 5 | 2018 |
Climate and environmental data contribute to the prediction of grain commodity prices using deep learning Z Wang, N French, T James, C Schillaci, F Chan, M Feng, A Lipani Journal of Sustainable Agriculture and Environment 2 (3), 251-265, 2023 | 4 | 2023 |