| 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 | 465 | 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 | 140 | 2019 |
| D-SRGAN: DEM super-resolution with generative adversarial networks BZ Demiray, M Sit, I Demir SN Computer Science 2, 1-11, 2021 | 113 | 2021 |
| Decentralized flood forecasting using deep neural networks M Sit, I Demir arXiv preprint arXiv:1902.02308, 2019 | 74 | 2019 |
| Realistic river image synthesis using deep generative adversarial networks A Gautam, M Sit, I Demir Frontiers in water 4, 784441, 2022 | 72 | 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 | 65 | 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 | 59 | 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 | 59 | 2019 |
| Short-term hourly streamflow prediction with graph convolutional gru networks M Sit, B Demiray, I Demir ICML 2021, Climate Change AI Workshop, 2021 | 58 | 2021 |
| 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 | 58 | 2020 |
| 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 | 52 | 2021 |
| Waterbench: a large-scale benchmark dataset for data-driven streamflow forecasting I Demir, Z Xiang, B Demiray, M Sit Earth System Science Data Discussions 2022, 1-19, 2022 | 44 | 2022 |
| 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 | 35 | 2021 |
| DEM Super-Resolution with EfficientNetV2 BZ Demiray, M Sit, I Demir NeurIPS 2021, Climate Change AI Workshop, 2021 | 34 | 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 | 18* | 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 | 16 | 2023 |
| Democratizing deep learning applications in earth and climate sciences on the web: EarthAIHub M Sit, I Demir Applied sciences 13 (5), 3185, 2023 | 11* | 2023 |
| A systematic review of deep learning applications in streamflow data augmentation and forecasting M Sit, BZ Demiray, I Demir EarthArXiv, 2022 | 10 | 2022 |
| EfficientRainNet: Leveraging EfficientNetV2 for memory-efficient rainfall nowcasting M Sit, BC Seo, B Demiray, I Demir Environmental Modelling & Software 176, 106001, 2024 | 9 | 2024 |
| Enhancing hydrological modeling with transformers: a case study for 24-h streamflow prediction BZ Demiray, M Sit, O Mermer, I Demir Water Science & Technology 89 (9), 2326-2341, 2024 | 7 | 2024 |
Ibrahim DemirProfessor, Hydroinformatics Lab, RCSE, ByWater, Tulane UniversityPreverjeni e-poštni naslov na tulane.edu