| Modeling monthly pan evaporation using wavelet support vector regression and wavelet artificial neural networks in arid and humid climates SN Qasem, S Samadianfard, S Kheshtgar, S Jarhan, O Kisi, ... Engineering Applications of Computational Fluid Mechanics 13 (1), 177-187, 2019 | 155 | 2019 |
| Support vector regression integrated with fruit fly optimization algorithm for river flow forecasting in Lake Urmia Basin S Samadianfard, S Jarhan, E Salwana, A Mosavi, S Shamshirband, ... Water 11 (9), 1934, 2019 | 101 | 2019 |
| Wavelet neural networks and gene expression programming models to predict short-term soil temperature at different depths S Samadianfard, E Asadi, S Jarhan, H Kazemi, S Kheshtgar, O Kisi, ... Soil and Tillage Research 175, 37-50, 2018 | 91 | 2018 |
| Trend and abrupt change analysis in water quality of Urmia Lake in comparison with changes in lake water level MT Sattari, R Mirabbasi, S Jarhan, F Shaker Sureh, S Ahmad Environmental monitoring and assessment 192, 1-16, 2020 | 37 | 2020 |
| Modeling monthly pan evaporation using wavelet support vector regression and wavelet artificial neural networks in arid and humid climates. Eng Appl Comput Fluid Mech 13: 177–187 SN Qasem, S Samadianfard, S Kheshtgar, S Jarhan, O Kisi, ... | 11 | 2019 |
| Application of support vector regression integrated with firefly optimization algorithm for predicting global solar radiation S Samadianfard, S Jarhan, HS Nahand Journal of Energy Systems 2 (4), 180-189, 2018 | 9 | 2018 |
| Unmasking Bias: Interaction among climate forcing data and hydrologic response across spatial scales in snow dominated watersheds S Jarhan, F Nippgen, GB Paige AGU24, 2024 | | 2024 |
| Hydrologic simulations in snow-dominated, leaky watersheds: Insights and challenges across multiple spatial scales S Jarhan, F Nippgen, GB Paige AGU23, 2023 | | 2023 |
| From Headwaters to Mountain Range: Modeling Water Resources Across Spatial Scales GBP S Jarhan, F Nippgen Wyoming Water Association & Upper Missouri Water Association Conference, 2023 | | 2023 |
| Poor Performance or Indication of Water Losses? Insights into Watershed Structure and Water Losses from Hydrologic Model Simulation across Spatial Scales S Jarhan, F Nippgen, GB Paige UCOWR/NIWR Annual Water Resources Conference, 2023 | | 2023 |
| Acknowledgment to the Reviewers of Eng in 2022 R Abedini Nassab, M Dudek, L Abelmann, Z Dvořák, PI Afanasev, ... | | 2023 |
| How small is too small: Assessment of WRF-Hydro across multiple scales in a snow-dominated watershed in the intermountain western US S Jarhan, F Nippgen, GB Paige AGU Fall Meeting 2022, 2022 | | 2022 |
| Impacts of different objective functions on the multi-criteria optimisation of WaSiM-ETH with AMALGAM applying high performance computing S Jarhan Technische Universität Dresden, 2021 | | 2021 |
| Predicting global solar radiation using support vector regression integrated with firefly optimization algorithm S Samadianfard, S Jarhan, HS Nahand Sixth European Conference on Renewable Energy Systems (ECRES2018), Istanbul …, 2018 | | 2018 |
| Trend analysis of water quality parameters and compare them with the water level fluctuations of the Lake Urmia MT Sattari, R Mirabbasi, S Jarhan International Congress of Health and Environment, Çukurova University, Adana …, 2017 | | 2017 |
Saeed SamadianfardDepartment of Water Engineering, University of TabrizVerified email at tabrizu.ac.ir