| Impacts of dissolved oxygen control on different greenhouse gas emission sources in wastewater treatment process F Huang, W Shen, X Zhang, P Seferlis Journal of cleaner production 274, 123233, 2020 | 39 | 2020 |
| A 1 km daily soil moisture dataset over China using in situ measurement and machine learning Q Li, G Shi, W Shangguan, V Nourani, J Li, L Li, F Huang, Y Zhang, ... Earth System Science Data 14 (12), 5267-5286, 2022 | 36 | 2022 |
| Assessment of agricultural drought using soil water deficit index based on ERA5-land soil moisture data in four southern provinces of China R Zhang, L Li, Y Zhang, F Huang, J Li, W Liu, T Mao, Z Xiong, ... Agriculture 11 (5), 411, 2021 | 36 | 2021 |
| Sub-period division strategies combined with multiway principle component analysis for fault diagnosis on sequence batch reactor of wastewater treatment process in paper mill J Zhou, F Huang, W Shen, Z Liu, JP Corriou, P Seferlis Process Safety and Environmental Protection 146, 9-19, 2021 | 23 | 2021 |
| A spatial downscaling method for remote sensing soil moisture based on random forest considering soil moisture memory and mass conservation T Mao, W Shangguan, Q Li, L Li, Y Zhang, F Huang, J Li, W Liu, R Zhang Remote Sensing 14 (16), 3858, 2022 | 15 | 2022 |
| Assessment of agricultural drought based on reanalysis soil moisture in Southern China W Shangguan, R Zhang, L Li, S Zhang, Y Zhang, F Huang, J Li, W Liu Land 11 (4), 502, 2022 | 12 | 2022 |
| On-line chemical oxygen demand estimation models for the photoelectrocatalytic oxidation advanced treatment of papermaking wastewater W Shen, F Huang, X Zhang, Y Zhu, X Chen, N Akbarjon Water Science and Technology 78 (2), 310-319, 2018 | 12 | 2018 |
| Simulation and optimization of pressure-swing distillation system for high purity acetonitrile F Huang, S Zheng, Y Chen, M Zhou, X Sun 2016 International Conference on Modeling, Simulation and Optimization …, 2016 | 6 | 2016 |
| Beyond prediction: An integrated post-hoc approach to interpret complex model in hydrometeorology F Huang, W Shangguan, Q Li, L Li, Y Zhang Environmental Modelling & Software 167, 105762, 2023 | 5 | 2023 |
| A 1 km global carbon flux dataset using in situ measurements and deep learning W Shangguan, Z Xiong, V Nourani, Q Li, X Lu, L Li, F Huang, Y Zhang, ... Forests 14 (5), 913, 2023 | 4 | 2023 |
| A hierarchical intelligent control strategy for greenhouse gas reduction in wastewater treatment process of paper mill F Huang, W Li, W Shen, P Seferlis, Y Man, JP Corriou Journal of Cleaner Production 379, 134818, 2022 | 4 | 2022 |
| Towards interpreting machine learning models for predicting soil moisture droughts F Huang, Y Zhang, Y Zhang, V Nourani, Q Li, L Li, W Shangguan Environmental Research Letters 18 (7), 074002, 2023 | 3 | 2023 |
| Interpreting Conv-LSTM for spatio-temporal soil moisture prediction in China F Huang, Y Zhang, Y Zhang, W Shangguan, Q Li, L Li, S Jiang Agriculture 13 (5), 971, 2023 | 3 | 2023 |
| Applications of sub–period division strategies on the fault diagnosis with mpca for the biological wastewater treatment process of paper mill F Huang, W Shen, Z Liu 2019 Chinese Control Conference (CCC), 5138-5143, 2019 | 3 | 2019 |
| Calculation of N₂O Emission in the Wastewater Treatment Process of Paper Mill N Akbarjon, F Huang, W Shen 2019 2nd International Conference on Sustainable Energy, Environment and …, 2019 | 3 | 2019 |
| Modeling greenhouse gas emissions from biological wastewater treatment process with experimental verification: A case study of paper mill J Han, Y Liu, W Li, F Huang, W Shen, T Liu, JP Corriou, P Seferlis Science of The Total Environment 924, 171637, 2024 | | 2024 |
| Enhancing Carbon Cycle Understanding through Deep Learning: Development and Validation of the Global Carbon Fluxes Dataset (GCFD) W Shangguan, Z Xiong, F Huang EGU24, 2024 | | 2024 |
| Identifying potential drivers of land-atmosphere coupling variation under climate change by explainable artificial intelligence F Huang, W Shangguan, S Jiang EGU24, 2024 | | 2024 |
| Projections of Soil Organic Carbon in China: The Role of Carbon Fluxes Revealed by Explainable Artificial Intelligence Y Zhang, F Huang, X Lu, W Shangguan, G Shi, Y Zhang, Z Qin, Z Wei, ... Authorea Preprints, 2024 | | 2024 |
| Making machine learning for hydrologic modeling more transparent using explainable AI W Shangguan, F Huang, S Jiang AGU23, 2023 | | 2023 |
