| Evaluation of eight high spatial resolution gridded precipitation products in Adige Basin (Italy) at multiple temporal and spatial scales Z Duan, J Liu, Y Tuo, G Chiogna, M Disse Science of the Total Environment 573, 1536-1553, 2016 | 378 | 2016 |
| Evaluation of precipitation input for SWAT modeling in Alpine catchment: A case study in the Adige river basin (Italy) Y Tuo, Z Duan, M Disse, G Chiogna Science of the total environment 573, 66-82, 2016 | 298 | 2016 |
| Hydrological evaluation of open-access precipitation and air temperature datasets using SWAT in a poorly gauged basin in Ethiopia Z Duan, Y Tuo, J Liu, H Gao, X Song, Z Zhang, L Yang, DF Mekonnen Journal of hydrology 569, 612-626, 2019 | 132 | 2019 |
| A multi-objective approach to improve SWAT model calibration in alpine catchments Y Tuo, G Marcolini, M Disse, G Chiogna Journal of Hydrology 559, 347-360, 2018 | 82 | 2018 |
| A new approach to quantify propagation time from meteorological to hydrological drought S Ho, L Tian, M Disse, Y Tuo Journal of Hydrology 603, 127056, 2021 | 52 | 2021 |
| Uncertainty of modelled flow regime for flow-ecological assessment in Southern Europe O Vigiak, S Lutz, A Mentzafou, G Chiogna, Y Tuo, B Majone, H Beck, ... Science of the Total Environment 615, 1028-1047, 2018 | 47 | 2018 |
| Drivers of the water use efficiency changes in China during 1982–2015 H Sun, Y Bai, M Lu, J Wang, Y Tuo, D Yan, W Zhang Science of the Total Environment 799, 149145, 2021 | 42 | 2021 |
| Coupling hydrological modeling and support vector regression to model hydropeaking in alpine catchments G Chiogna, G Marcolini, W Liu, TP Ciria, Y Tuo Science of the Total Environment 633, 220-229, 2018 | 38 | 2018 |
| Calibration of snow parameters in SWAT: comparison of three approaches in the Upper Adige River basin (Italy) Y Tuo, G Marcolini, M Disse, G Chiogna Hydrological sciences journal 63 (4), 657-678, 2018 | 35 | 2018 |
| Integration of remote sensing and Mexican water quality monitoring system using an extreme learning machine LF Arias-Rodriguez, Z Duan, JJ Díaz-Torres, M Basilio Hazas, J Huang, ... Sensors 21 (12), 4118, 2021 | 31 | 2021 |
| Fully automated snow depth measurements from time-lapse images applying a convolutional neural network M Kopp, Y Tuo, M Disse Science of The Total Environment 697, 134213, 2019 | 30 | 2019 |
| Development and application of high resolution SPEI drought dataset for Central Asia K Pyarali, J Peng, M Disse, Y Tuo Scientific data 9 (1), 172, 2022 | 25 | 2022 |
| The vertical influence of temperature and precipitation on snow cover variability in the Central Tianshan Mountains, Northwest China S Wu, X Zhang, J Du, X Zhou, Y Tuo, R Li, Z Duan Hydrological Processes 33 (12), 1686-1697, 2019 | 25 | 2019 |
| A multi-criteria model selection protocol for practical applications to nutrient transport at the catchment scale Y Tuo, G Chiogna, M Disse Water 7 (6), 2851-2880, 2015 | 20 | 2015 |
| Distinguishable root plaque on root surface of Potamogeton crispus grown in two sediments with different nutrient status W Mi, J Cai, Y Tuo, H Zhu, Y Hua, J Zhao, W Zhou, D Zhu Limnology 14, 1-11, 2013 | 17 | 2013 |
| Global water quality of inland waters with harmonized landsat-8 and sentinel-2 using cloud-computed machine learning LF Arias-Rodriguez, UF Tüzün, Z Duan, J Huang, Y Tuo, M Disse Remote Sensing 15 (5), 1390, 2023 | 14 | 2023 |
| Quantifying changes and drivers of runoff in the Kaidu River Basin associated with plausible climate scenarios B Zhao, H Sun, D Yan, G Wei, Y Tuo, W Zhang Journal of Hydrology: Regional Studies 38, 100968, 2021 | 14 | 2021 |
| Allocation of ecological water rights considering ecological networks in arid watersheds: A framework and case study of Tarim River basin D Yan, L Chen, H Sun, W Liao, H Chen, G Wei, W Zhang, Y Tuo Agricultural Water Management 267, 107636, 2022 | 9 | 2022 |
| Projections of thermal growing season indices over China under global warming of 1.5° C and 2.0° C M Lu, H Sun, D Yan, J Xue, S Yi, D Gui, Y Tuo, W Zhang Science of the Total Environment 781, 146774, 2021 | 9 | 2021 |
| Automated flood depth estimates from online traffic sign images: Explorations of a convolutional neural network-based method Z Song, Y Tuo Sensors 21 (16), 5614, 2021 | 8 | 2021 |
