| Prediction of non-cohesive sediment transport in circular channels in deposition and limit of deposition states using SVM K Roushangar, R Ghasempour Water Science and Technology: Water Supply 17 (2), 537-551, 2017 | 38 | 2017 |
| Evaluation of the impact of channel geometry and rough elements arrangement in hydraulic jump energy dissipation via SVM. K Roushangar, R Ghasempour Journal of Hydroinformatics 21 (1), 92-103., 2018 | 26 | 2018 |
| Estimation of bedload discharge in sewer pipes with different boundary conditions using an evolutionary algorithm K Roushangar, R Ghasempour International Journal of Sediment Research 32 (4), 564-574, 2017 | 25 | 2017 |
| A comparative study of wavelet and empirical mode decomposition-based GPR models for river discharge relationship modeling at consecutive hydrometric stations K Roushangar, M Chamani, R Ghasempour, HM Azamathulla, F Alizadeh Water Supply 21 (6), 3080-3098, 2021 | 19 | 2021 |
| Modeling total resistance and form resistance of movable bed channels via experimental data and a kernel-based approach SM Saghebian, K Roushangar, VS Ozgur Kirca, R Ghasempour Journal of Hydroinformatics 22 (3), 528-540, 2020 | 19 | 2020 |
| Estimation of hydraulic jump characteristics of channels with sudden diverging side walls via SVM K Roushangar, R Valizadeh, R Ghasempour Water Science and Technology 76 (7), 1614-1628, 2017 | 19 | 2017 |
| Explicit prediction of expanding channels hydraulic jump characteristics using gene expression programming approach K Roushangar, R Ghasempour Hydrology Research 49 (3), 815-830, 2018 | 18 | 2018 |
| Hybrid point and interval prediction approaches for drought modeling using ground-based and remote sensing data K Roushangar, R Ghasempour, VSO Kirca, MC Demirel Hydrology Research 52 (6), 1469-1489, 2021 | 17 | 2021 |
| EEMD-and VMD-based hybrid GPR models for river streamflow point and interval predictions R Ghasempour, HM Azamathulla, K Roushangar Water Supply 21 (7), 3960-3975, 2021 | 16 | 2021 |
| Evaluation of the parameters affecting the roughness coefficient of sewer pipes with rigid and loose boundary conditions via kernel based approaches K Roushangar, R Ghasempour, S Biukaghazadeh International Journal of Sediment Research 35 (2), 171-179, 2020 | 15 | 2020 |
| Analysis of spatiotemporal variations of drought and its correlations with remote sensing-based indices via wavelet analysis and clustering methods R Ghasempour, K Roushangar, VS Ozgur Kirca, MC Demirel Hydrology Research 53 (1), 175-192, 2022 | 13 | 2022 |
| The potential of integrated hybrid pre-post-processing techniques for short-to long-term drought forecasting K Roushangar, R Ghasempour, V Nourani Journal of Hydroinformatics 23 (1), 117-135, 2021 | 13 | 2021 |
| Evaluation of the effective parameters on energy losses of rectangular and circular culverts via kernel-based approaches K Roushangar, GN Matin, R Ghasempour, SM Saghebian Journal of Hydroinformatics 21 (6), 1014-1029, 2019 | 12 | 2019 |
| The potential of ensemble WT-EEMD-kernel extreme learning machine techniques for prediction suspended sediment concentration in successive points of a river K Roushangar, N Aghajani, R Ghasempour, F Alizadeh Journal of Hydroinformatics 23 (3), 655-670, 2021 | 11 | 2021 |
| Analysis of spatiotemporal variations of drought and soil salinity via integrated multiscale and remote sensing-based techniques (Case study: Urmia Lake basin) R Ghasempour, MT Aalami, SM Saghebian, VSO Kirca Ecological Informatics 81, 102560, 2024 | 9 | 2024 |
| Handbook of Hydroinformatics K Roushangar, R Ghasempour Elsevier, 2023 | 9 | 2023 |
| Multi-temporal analysis for drought classifying based on SPEI gridded data and hybrid maximal overlap discrete wavelet transform K Roushangar, R Ghasempour International Journal of Environmental Science and Technology 19 (4), 3219-3232, 2022 | 9 | 2022 |
| Spatiotemporal analysis of droughts over different climate regions using hybrid clustering method K Roushangar, R Ghasempour, V Nourani Water Resources Management, 1-16, 2022 | 9 | 2022 |
| Effect of channel boundary conditions in predicting hydraulic jump characteristics using an ANFIS-based approach K Roushangar, R Ghasempour, R Valizadeh Journal of Applied Fluid Mechanics 11 (3), 555-565, 2018 | 9 | 2018 |
| Supporting vector machines K Roushangar, R Ghasempour Handbook of Hydroinformatics, 411-422, 2023 | 8 | 2023 |
Kiyoumars Roushangar,Professor ,University of TabrizOverená e-mailová adresa na: tabrizu.ac.ir