| GMDH-type neural network approach for modeling the discharge coefficient of rectangular sharp-crested side weirs I Ebtehaj, H Bonakdari, AH Zaji, H Azimi, F Khoshbin Engineering Science and Technology, an International Journal 18 (4), 746-757, 2015 | 166 | 2015 |
| Gene expression programming to predict the discharge coefficient in rectangular side weirs I Ebtehaj, H Bonakdari, AH Zaji, H Azimi, A Sharifi Applied Soft Computing 35, 618-628, 2015 | 142 | 2015 |
| Pareto genetic design of group method of data handling type neural network for prediction discharge coefficient in rectangular side orifices I Ebtehaj, H Bonakdari, F Khoshbin, H Azimi Flow Measurement and Instrumentation 41, 67-74, 2015 | 90 | 2015 |
| Design of radial basis function‑based support vector regression in predicting the discharge coefficient of a side weir in a trapezoidal channel H Azimi, H Bonakdari, I Ebtehaj Applied Water Science, 2019 | 81 | 2019 |
| Adaptive neuro-fuzzy inference system multi-objective optimization using the genetic algorithm/singular value decomposition method for modelling the discharge coefficient in … F Khoshbin, H Bonakdari, SH Ashraf Talesh, I Ebtehaj, AH Zaji, H Azimi Engineering Optimization 48 (6), 933-948, 2016 | 80 | 2016 |
| Evolutionary design of generalized group method of data handling-type neural network for estimating the hydraulic jump roller length H Azimi, H Bonakdari, I Ebtehaj, B Gharabaghi, F Khoshbin Acta Mechanica 229, 1197-1214, 2018 | 77 | 2018 |
| Closure to “Combination of Computational Fluid Dynamics, Adaptive Neuro-Fuzzy Inference System, and Genetic Algorithm for Predicting Discharge Coefficient of Rectangular Side … HA Saeid Shabanlou, Isa Ebtehaj, Hossein Bonakdari, Saeid Kardar J. Irrig. Drain Eng 144 (5), 2018 | 72* | 2018 |
| A highly efficient gene expression programming model for predicting the discharge coefficient in a side weir along a trapezoidal canal H Azimi, H Bonakdari, I Ebtehaj Irrigation and drainage 66 (4), 655-666, 2017 | 71 | 2017 |
| A combined adaptive neuro-fuzzy inference system–firefly algorithm model for predicting the roller length of a hydraulic jump on a rough channel bed H Azimi, H Bonakdari, I Ebtehaj, DG Michelson Neural Computing and Applications 29, 249-258, 2018 | 70 | 2018 |
| Evolutionary Pareto optimization of an ANFIS network for modeling scour at pile groups in clear water condition H Azimi, H Bonakdari, I Ebtehaj, SHA Talesh, DG Michelson, A Jamali Fuzzy Sets and Systems 319, 50-69, 2017 | 70 | 2017 |
| Sensitivity analysis of the factors affecting the discharge capacity of side weirs in trapezoidal channels using extreme learning machines H Azimi, H Bonakdari, I Ebtehaj Flow Measurement and Instrumentation 54, 216-223, 2017 | 70 | 2017 |
| Predicting the discharge coefficient of triangular plan form weirs using radian basis function and M5’methods A Akhbari, AH Zaji, H Azimi, M Vafaeifard Journal of Applied Research in Water and Wastewater 4 (1), 281-289, 2017 | 41 | 2017 |
| Free surface and velocity field in a circular channel along the side weir in supercritical flow conditions H Azimi, S Shabanlou, MS Salimi Flow Measurement and Instrumentation 38, 108-115, 2014 | 41 | 2014 |
| Ice-Seabed interaction analysis in sand using a gene expression programming-based approach H Azimi, H Shiri Applied Ocean Research 98, 102120, 2020 | 36 | 2020 |
| A pareto design of evolutionary hybrid optimization of ANFIS model in prediction abutment scour depth H Azimi, H Bonakdari, I Ebtehaj, S Shabanlou, SH Ashraf Talesh, ... Sådhanå 44 (169), 1-14, 2019 | 36 | 2019 |
| Gene expression programming-based approach for predicting the roller length of a hydraulic jump on a rough bed H Azimi, H Bonakdari, I Ebtehaj ISH Journal of Hydraulic Engineering, 2019 | 36 | 2019 |
| Dimensionless Groups of Parameters Governing the Ice-Seabed Interaction Process H Azimi, H Shiri Journal of Offshore Mechanics and Arctic Engineering, 2020 | 33 | 2020 |
| The flow pattern in triangular channels along the side weir for subcritical flow regime H Azimi, S Shabanlou Flow Measurement and Instrumentation 46, 170-178, 2015 | 31 | 2015 |
| Determining the Scour Dimensions Around Submerged Vanes in a 180° Bend with the Gene Expression Programming Technique SS H Azimi, I Ebtehaj and H Bonakdari Journal of Marine Science and Application, 2018 | 29 | 2018 |
| Sensitivity analysis of parameters influencing the ice–seabed interaction in sand by using extreme learning machine H Azimi, H Shiri Natural Hazards 106 (3), 2307-2335, 2021 | 28 | 2021 |
