| 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 | 336 | 2020 |
| Identifying disaster-related tweets and their semantic, spatial and temporal context using deep learning, natural language processing and spatial analysis: a case study of … MA Sit, C Koylu, I Demir International Journal of Digital Earth, 1-25, 2019 | 114 | 2019 |
| D-SRGAN: DEM super-resolution with generative adversarial networks BZ Demiray, M Sit, I Demir SN Computer Science 2, 1-11, 2021 | 85 | 2021 |
| Decentralized flood forecasting using deep neural networks M Sit, I Demir arXiv preprint arXiv:1902.02308, 2019 | 70 | 2019 |
| Realistic river image synthesis using deep generative adversarial networks A Gautam, M Sit, I Demir Frontiers in water 4, 784441, 2022 | 62 | 2022 |
| FLOODSS: Iowa flood information system as a generalized flood cyberinfrastructure I Demir, E Yildirim, Y Sermet, MA Sit International journal of river basin management 16 (3), 393-400, 2018 | 57 | 2018 |
| Crowdsourced approaches for stage measurements at ungauged locations using smartphones Y Sermet, P Villanueva, MA Sit, I Demir Hydrological Sciences Journal 65 (5), 813-822, 2020 | 55 | 2020 |
| Optimized watershed delineation library for server-side and client-side web applications M Sit, Y Sermet, I Demir Open Geospatial Data, Software and Standards 4 (1), 8, 2019 | 54 | 2019 |
| Hydrology@ Home: a distributed volunteer computing framework for hydrological research and applications R Agliamzanov, M Sit, I Demir Journal of Hydroinformatics 22 (2), 235-248, 2020 | 53 | 2020 |
| Short-term hourly streamflow prediction with graph convolutional gru networks M Sit, B Demiray, I Demir ICML 2021, Climate Change AI Workshop, 2021 | 39 | 2021 |
| Web-based data analytics framework for well forecasting and groundwater quality M Sit, RJ Langel, D Thompson, DM Cwiertny, I Demir Science of the Total Environment 761, 144121, 2021 | 38 | 2021 |
| 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 | 26* | 2022 |
| DEM Super-Resolution with EfficientNetV2 BZ Demiray, M Sit, I Demir NeurIPS 2021, Climate Change AI Workshop, 2021 | 26 | 2021 |
| Iowarain: A statewide rain event dataset based on weather radars and quantitative precipitation estimation M Sit, BC Seo, I Demir ICML 2021, Climate Change AI Workshop, 2021 | 24 | 2021 |
| TempNet–temporal super-resolution of radar rainfall products with residual CNNs MA Sit, B Seo, I Demir Journal of hydroinformatics 25 (2), 552-566, 2023 | 15* | 2023 |
| Democratizing Deep Learning Applications in Earth and Climate Sciences on the Web: EarthAIHub M Sit, I Demir Applied sciences 13 (5), 3185, 2023 | 9* | 2023 |
| 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 | 7 | 2023 |
| A systematic review of deep learning applications in streamflow data augmentation and forecasting M Sit, BZ Demiray, I Demir EarthArXiv, 2022 | 6 | 2022 |
| EfficientTempNet: Temporal Super-Resolution of Radar Rainfall BZ Demiray, M Sit, I Demir ICLR 2023, Climate Change AI Workshop, 2023 | 5 | 2023 |
| EfficientRainNet: Smaller Neural Networks Based on EfficientNetV2 for Rainfall Nowcasting M Sit, BC Seo, BZ Demiray, I Demir EarthArXiv, 2023 | 3 | 2023 |
Ibrahim DemirAssociate Professor, CEE / ECE / URP / IIHR / UIHILab, University of IowaVerified email at uiowa.edu
