| An integrated framework of extreme learning machines for predicting scour at pile groups in clear water condition I Ebtehaj, H Bonakdari, F Moradi, B Gharabaghi, ZS Khozani Coastal Engineering 135, 1-15, 2018 | 108 | 2018 |
| Determination of compound channel apparent shear stress: application of novel data mining models ZS Khozani, K Khosravi, BT Pham, B Kløve, WHM Wan Mohtar, ... Journal of Hydroinformatics 21 (5), 798-811, 2019 | 85 | 2019 |
| Combining autoregressive integrated moving average with Long Short-Term Memory neural network and optimisation algorithms for predicting ground water level ZS Khozani, FB Banadkooki, M Ehteram, AN Ahmed, A El-Shafie Journal of Cleaner Production 348, 131224, 2022 | 83 | 2022 |
| Enhancing nitrate and strontium concentration prediction in groundwater by using new data mining algorithm DT Bui, K Khosravi, M Karimi, G Busico, ZS Khozani, H Nguyen, ... Science of the Total Environment 715, 136836, 2020 | 78 | 2020 |
| Comparison between Shannon and Tsallis entropies for prediction of shear stress distribution in open channels H Bonakdari, Z Sheikh, M Tooshmalani Stochastic Environmental Research and Risk Assessment 29, 1-11, 2015 | 56 | 2015 |
| Combination of sensitivity and uncertainty analyses for sediment transport modeling in sewer pipes I Ebtehaj, H Bonakdari, MJS Safari, B Gharabaghi, AH Zaji, HR Madavar, ... International Journal of Sediment Research 35 (2), 157-170, 2020 | 53 | 2020 |
| An analysis of shear stress distribution in circular channels with sediment deposition based on Gene Expression Programming ZS Khozani, H Bonakdari, I Ebtehaj International Journal of Sediment Research 32 (4), 575-584, 2017 | 46 | 2017 |
| A comparison between advanced hybrid machine learning algorithms and empirical equations applied to abutment scour depth prediction K Khosravi, ZS Khozani, L Mao Journal of Hydrology 596, 126100, 2021 | 41 | 2021 |
| Prediction of boundary shear stress in circular and trapezoidal channels with entropy concept Z Sheikh, H Bonakdari Urban Water Journal 13 (6), 629-636, 2016 | 37 | 2016 |
| Improving Water Quality Index prediction for water resources management plans in Malaysia: application of machine learning techniques Z Sheikh Khozani, M Iranmehr, WHM Wan Mohtar Geocarto International 37 (25), 10058-10075, 2022 | 36 | 2022 |
| Formulating the shear stress distribution in circular open channels based on the Renyi entropy ZS Khozani, H Bonakdari Physica A: Statistical Mechanics and its Applications 490, 114-126, 2018 | 33 | 2018 |
| Graph convolutional network–Long short term memory neural network-multi layer perceptron-Gaussian progress regression model: A new deep learning model for predicting ozone … M Ehteram, AN Ahmed, ZS Khozani, A El-Shafie Atmospheric Pollution Research 14 (6), 101766, 2023 | 32 | 2023 |
| Estimating the shear stress distribution in circular channels based on the randomized neural network technique ZS Khozani, H Bonakdari, AH Zaji Applied Soft Computing 58, 441-448, 2017 | 32 | 2017 |
| Ecological and health risk assessment of polycyclic aromatic hydrocarbons (PAHs) in Sungai Perak, Malaysia TSB Abd Manan, T Khan, WHMW Mohtar, S Beddu, S Qazi, ZS Khozani, ... Journal of Cleaner Production 294, 126124, 2021 | 30 | 2021 |
| Evolutionary prediction of biohydrogen production by dark fermentation A Akhbari, S Ibrahim, AA Zinatizadeh, H Bonakdari, I Ebtehaj, ... CLEAN–Soil, Air, Water 47 (1), 1700494, 2019 | 26 | 2019 |
| Convolutional neural network-support vector machine model-gaussian process regression: a new machine model for predicting monthly and daily rainfall M Ehteram, AN Ahmed, Z Sheikh Khozani, A El-Shafie Water Resources Management 37 (9), 3631-3655, 2023 | 24 | 2023 |
| Application of a genetic algorithm in predicting the percentage of shear force carried by walls in smooth rectangular channels ZS Khozani, H Bonakdari, AH Zaji Measurement 87, 87-98, 2016 | 22 | 2016 |
| Predicting shear stress distribution in rectangular channels using entropy concept H Bonakdari, M Tooshmalani, Z Sheikh Int. J. Eng 28 (3), 357-364, 2015 | 22 | 2015 |
| Combining radial basis function neural network models and inclusive multiple models for predicting suspended sediment loads E Ghanbari-Adivi, M Ehteram, A Farrokhi, Z Sheikh Khozani Water Resources Management 36 (11), 4313-4342, 2022 | 21 | 2022 |
| Predicting stable gravel-bed river hydraulic geometry: A test of novel, advanced, hybrid data mining algorithms K Khosravi, ZS Khozani, JR Cooper Environmental Modelling & Software 144, 105165, 2021 | 21 | 2021 |
