| Quality assessment and artificial neural networks modeling for characterization of chemical and physical parameters of potable water M Salari, ES Shahid, SH Afzali, M Ehteshami, GO Conti, Z Derakhshan, ... Food and Chemical Toxicology 118, 212-219, 2018 | 70 | 2018 |
| Assessment of modified honey bee mating optimization for parameter estimation of nonlinear Muskingum models M Niazkar, SH Afzali Journal of Hydrologic Engineering 20 (4), 04014055, 2015 | 69 | 2015 |
| Analysis of water distribution networks using MATLAB and Excel spreadsheet: h‐based methods M Niazkar, SH Afzali Computer Applications in Engineering Education 25 (1), 129-141, 2017 | 60 | 2017 |
| Application of new hybrid optimization technique for parameter estimation of new improved version of Muskingum model M Niazkar, SH Afzali Water resources management 30, 4713-4730, 2016 | 52 | 2016 |
| Streamline performance of Excel in stepwise implementation of numerical solutions M Niazkar, SH Afzali Computer Applications in Engineering Education 24 (4), 555-566, 2016 | 39 | 2016 |
| Optimum design of lined channel sections M Niazkar, SH Afzali Water Resources Management 29, 1921-1932, 2015 | 39 | 2015 |
| Parameter estimation of an improved nonlinear Muskingum model using a new hybrid method M Niazkar, SH Afzali Hydrology Research 48 (5), 1253-1267, 2017 | 38 | 2017 |
| New nonlinear variable-parameter Muskingum models M Niazkar, SH Afzali KSCE Journal of Civil Engineering 21, 2958-2967, 2017 | 36 | 2017 |
| Application of Excel spreadsheet in engineering education M Niazkar, SH Afzali First International and Fourth National Conference on Engineering Education …, 2015 | 36 | 2015 |
| Novel grain and form roughness estimator scheme incorporating artificial intelligence models M Niazkar, N Talebbeydokhti, SH Afzali Water resources management 33, 757-773, 2019 | 34 | 2019 |
| Assessment of XGBoost to estimate total sediment loads in rivers R Piraei, SH Afzali, M Niazkar Water Resources Management 37 (13), 5289-5306, 2023 | 31 | 2023 |
| Variable-parameter Muskingum model SH Afzali Iranian Journal of Science and Technology, Transactions of Civil Engineering …, 2016 | 28 | 2016 |
| Developing a new accuracy-improved model for estimating scour depth around piers using a hybrid method M Niazkar, SH Afzali Iranian Journal of Science and Technology, Transactions of Civil Engineering …, 2019 | 23 | 2019 |
| One dimensional hydraulic flow routing incorporating a variable grain roughness coefficient M Niazkar, N Talebbeydokhti, SH Afzali Water Resources Management 33, 4599-4620, 2019 | 22 | 2019 |
| Relationship between Hazen-William coefficient and Colebrook-White friction factor: Application in water network analysis M Niazkar, N Talebbeydokhti, SH Afzali European Water 58, 513-520, 2017 | 22 | 2017 |
| Bridge backwater estimation: A comparison between artificial intelligence models and explicit equations M Niazkar, N Talebbeydokhti, SH Afzali Scientia Iranica 28 (2), 573-585, 2021 | 21 | 2021 |
| Application of new hybrid method in developing a new semicircular-weir discharge model M Niazkar, SH Afzali Alexandria engineering journal 57 (3), 1741-1747, 2018 | 20 | 2018 |
| Development of a new flow-dependent scheme for calculating grain and form roughness coefficients M Niazkar, N Talebbeydokhti, SH Afzali KSCE Journal of Civil Engineering 23, 2108-2116, 2019 | 19 | 2019 |
| Steel frame optimal design using MHBMO algorithm SH Afzali, A Darabi, M Niazkar International Journal of Steel Structures 16, 455-465, 2016 | 18 | 2016 |
| New Model for Determining Local Scour Depth Around Piers SH Afzali Arabian Journal for Science and Engineering 41 (10), 3807-3815, 2016 | 17 | 2016 |
Majid NiazkarEuro-Mediterranean Center on Climate Change (CMCC)在 cmcc.it 的电子邮件经过验证
