| A Rainfall‐Runoff Model with LSTM‐based Sequence‐to‐Sequence Learning Z Xiang, J Yan, I Demir Water Resources Research, 2020 | 557 | 2020 |
| A comprehensive review of deep learning applications in hydrology and water resources M Sit, BZ Demiray, Z Xiang, GJ Ewing, Y Sermet, I Demir Water Science and Technology 82 (12), 2635-2670, 2020 | 457 | 2020 |
| Distributed long-term hourly streamflow predictions using deep learning–A case study for State of Iowa Z Xiang, I Demir Environmental Modelling & Software 131, 104761, 2020 | 124 | 2020 |
| Integrated toxic evaluation of sulfamethazine on zebrafish: Including two lifespan stages (embryo-larval and adult) and three exposure periods (exposure, post-exposure and re … Z Yan, Q Yang, W Jiang, J Lu, Z Xiang, R Guo, J Chen Chemosphere 195, 784-792, 2018 | 61 | 2018 |
| The dual function of the algal treatment: Antibiotic elimination combined with CO2 fixation Y Du, J Wang, H Li, S Mao, D Wang, Z Xiang, R Guo, J Chen Chemosphere 211, 192-201, 2018 | 52 | 2018 |
| Comprehensive assessment of three typical antibiotics on cyanobacteria (Microcystis aeruginosa): The impact and recovery capability Y Du, J Wang, F Zhu, D Mai, Z Xiang, J Chen, R Guo Ecotoxicology and Environmental Safety 160, 84-93, 2018 | 46 | 2018 |
| WaterBench-Iowa: a large-scale benchmark dataset for data-driven streamflow forecasting I Demir, Z Xiang, B Demiray, M Sit Earth System Science Data 14 (12), 5605-5616, 2022 | 43* | 2022 |
| A Regional Semi-Distributed Streamflow Model Using Deep Learning Z Xiang, I Demir, R Mantilla, WF Krajewski EarthArXiv, 2021 | 34 | 2021 |
| Flood Markup Language–A standards-based exchange language for flood risk communication Z Xiang, I Demir Environmental Modelling & Software 152, 105397, 2022 | 20 | 2022 |
| Fully distributed rainfall-runoff modeling using spatial-temporal graph neural network Z Xiang, I Demir EarthArXiv, 2022 | 18 | 2022 |
| MA-SARNet: A one-shot nowcasting framework for SAR image prediction with physical driving forces Z Li, Z Xiang, BZ Demiray, M Sit, I Demir ISPRS Journal of Photogrammetry and Remote Sensing 205, 176-190, 2023 | 16 | 2023 |
| High-resolution rainfall-runoff modeling using graph neural network Z Xiang, I Demir arXiv preprint arXiv:2110.10833, 2021 | 15 | 2021 |
| Real-Time Streamflow Forecasting Framework, Implementation and Post-Analysis Using Deep Learning Z Xiang, I Demir EarthArXiv, 2022 | 10 | 2022 |
| Removal of two cephalosporins in Chlorella pyrenoidosa YX Du, YQ Feng, ZR Xiang, RX Guo, JQ Chen Environ Sci Technol 38 (10), 105-111, 2015 | 6 | 2015 |
| Distributed long-term hourly runoff predictions using deep learning–a case study for state of iowa Z Xiang, I Demir | 3 | 2020 |
| Impact of Climate Change on Critical Source Areas in a Chesapeake Bay Watershed Z Xiang, HJ Montas, A Shirmohammadi, PT Leisnham, K Brubaker 2018 ASABE Annual International Meeting, 1, 2018 | 3 | 2018 |
| Hydrologic Response of a Suburban Watershed to Climate Models Z Xiang University of Maryland, College Park, 2017 | 2 | 2017 |
| Sequence-to-sequence learning with deep neural networks in rainfall-runoff modeling in Iowa Z Xiang, I Demir AGU Fall Meeting Abstracts 2019, IN51D-0670, 2019 | 1 | 2019 |
| Runoff Prediction using Long-Short Term Memory Model I Demir, Z Xiang AGU Fall Meeting Abstracts 2018, IN31C-0827B, 2018 | 1 | 2018 |
| Distributed Streamflow Forecasting with Geospatial Data Integration Using Deep Learning Z Xiang The University of Iowa, 2022 | | 2022 |
Ibrahim DemirProfessor, Hydroinformatics Lab, RCSE, ByWater, Tulane UniversityCorreu electrònic verificat a tulane.edu