| A space-time geostatistical model for probabilistic estimation of harmful algal bloom biomass and areal extent S Fang, D Del Giudice, D Scavia, CE Binding, TB Bridgeman, JD Chaffin, ... Science of the Total Environment 695, 133776, 2019 | 44 | 2019 |
| Bilevel Multiobjective Programming Applied to Water Resources Allocation S Fang, P Guo, M Li, L Zhang Mathematical Problems in Engineering 2013, 2013 | 35 | 2013 |
| An inexact fuzzy parameter two-stage stochastic programming model for irrigation water allocation under uncertainty M Li, P Guo, SQ Fang, LD Zhang Stochastic environmental research and risk assessment 27, 1441-1452, 2013 | 33 | 2013 |
| Optimal water resources planning based on interval-parameter two-stage stochastic programming Y Fu, P Guo, S Fang, M Li Transactions of the Chinese Society of Agricultural Engineering 30 (5), 73-81, 2014 | 29 | 2014 |
| Space-time geostatistical assessment of hypoxia in the northern Gulf of Mexico VRR Matli, S Fang, J Guinness, NN Rabalais, JK Craig, DR Obenour Environmental science & technology 52 (21), 12484-12493, 2018 | 28 | 2018 |
| Crop pattern optimization for the coordination between economy and environment considering hydrological uncertainty Y Chen, Y Zhou, S Fang, M Li, Y Wang, K Cao Science of The Total Environment 809, 151152, 2022 | 22 | 2022 |
| Elucidating controls on cyanobacteria bloom timing and intensity via Bayesian mechanistic modeling D Del Giudice, S Fang, D Scavia, TW Davis, MA Evans, DR Obenour Science of the Total Environment 755, 142487, 2021 | 18 | 2021 |
| An improved solving approach for interval-parameter programming and application to an optimal allocation of irrigation water problem G Yang, P Guo, M Li, S Fang, L Zhang Water resources management 30, 701-729, 2016 | 14 | 2016 |
| Monthly optimal reservoirs operation for multicrop deficit irrigation under fuzzy stochastic uncertainties L Zhang, P Guo, S Fang, M Li Journal of Applied Mathematics 2014, 2014 | 14 | 2014 |
| IB-ICCMSP: an integrated irrigation water optimal allocation and planning model based on inventory theory under uncertainty M Li, P Guo, GQ Yang, SQ Fang Water resources management 28, 241-260, 2014 | 12 | 2014 |
| Comprehensive analysis of the NOAA National Water Model: A call for heterogeneous formulations and diagnostic model selection JM Johnson, S Fang, A Sankarasubramanian, AM Rad, L Kindl da Cunha, ... Journal of Geophysical Research: Atmospheres 128 (24), e2023JD038534, 2023 | 4 | 2023 |
| Improved National‐Scale Above‐Normal Flow Prediction for Gauged and Ungauged Basins Using a Spatio‐Temporal Hierarchical Model S Fang, JM Johnson, L Yeghiazarian, A Sankarasubramanian Water Resources Research 60 (1), e2023WR034557, 2024 | 1 | 2024 |
| Leveraging Synthetic Aperture Radar (SAR) to improve above-normal flow prediction in ungauged basins S Fang, JM Johnson, A Sankarasubramanian Authorea Preprints, 2024 | | 2024 |
| Utility of Satellite-based remotely sensed streamflow in a spatio-temporal hierarchical model for improving NWM forecasts S Fang, S Arumugam, M Johnson, L Yeghiazarian AGU Fall Meeting Abstracts 2022, H54F-03, 2022 | | 2022 |
| Developing Probabilistic Flood Inundation Forecasts using SWMM S Fang, S Al-Amin, Q Adegbite, G Mohan, J Levey, S Arumugam, ... AGU Fall Meeting Abstracts 2021, H35F-1099, 2021 | | 2021 |
| Forecasting Precipitation Extremes in an Age of Changing Climate: Does the Performance of Forecast Methods Vary Across the CONUS? J Levey, S Arumugam, S Fang AGU Fall Meeting Abstracts 2021, H45B-1192, 2021 | | 2021 |
| Spatio-temporal hierarchical modeling for Improved National Water Model Predictions S Fang, J Johnson, L Yeghiazarian, S Arumugam AGU Fall Meeting Abstracts 2021, H22A-01, 2021 | | 2021 |
| Characterizing Harmful Algal Bloom Dynamics Through Space-Time Geostatistical Modeling S Fang North Carolina State University, 2020 | | 2020 |
| Exploring hypoxia dynamics on the LATEX Shelf through geostatistical space-time modeling DR Obenour, VR Matli, S Fang 2018 Ocean Sciences Meeting, 2018 | | 2018 |
| Space-Time Geostatistical Modeling of Aquatic Systems: Examples from the Great Lakes and Gulf of Mexico VR Matli, DR Obenour, S Fang, J Guinness 2018 Ocean Sciences Meeting, 2018 | | 2018 |
