| An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction ZM Yaseen, SO Sulaiman, RC Deo, KW Chau Journal of Hydrology 569, 387-408, 2019 | 607 | 2019 |
| Predicting compressive strength of lightweight foamed concrete using extreme learning machine model ZM Yaseen, RC Deo, A Hilal, AM Abd, LC Bueno, S Salcedo-Sanz, ... Advances in Engineering Software 115, 112-125, 2018 | 413 | 2018 |
| A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset RC Deo, X Wen, F Qi Applied Energy 168, 568-593, 2016 | 360 | 2016 |
| Impacts of land use/land cover change on climate and future research priorities R Mahmood, RA Pielke, KG Hubbard, D Niyogi, G Bonan, P Lawrence, ... Bulletin of the American Meteorological Society 91 (1), 37-46, 2010 | 357 | 2010 |
| Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms S Ghimire, RC Deo, N Raj, J Mi Applied Energy 253, 113541, 2019 | 354 | 2019 |
| Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia RC Deo, M Şahin Atmospheric Research 153, 512-525, 2015 | 331 | 2015 |
| Stream-flow forecasting using extreme learning machines: a case study in a semi-arid region in Iraq ZM Yaseen, O Jaafar, RC Deo, O Kisi, J Adamowski, J Quilty, A El-Shafie Journal of Hydrology 542, 603-614, 2016 | 311 | 2016 |
| Application of the artificial neural network model for prediction of monthly standardized precipitation and evapotranspiration index using hydrometeorological parameters and … RC Deo, M Şahin Atmospheric research 161, 65-81, 2015 | 305 | 2015 |
| Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia MS Al-Musaylh, RC Deo, JF Adamowski, Y Li Advanced Engineering Informatics 35, 1-16, 2018 | 303 | 2018 |
| Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model RC Deo, O Kisi, VP Singh Atmospheric Research 184, 149-175, 2017 | 300 | 2017 |
| Computational intelligence approaches for energy load forecasting in smart energy management grids: state of the art, future challenges, and research directions SN Fallah, RC Deo, M Shojafar, M Conti, S Shamshirband Energies 11 (3), 596, 2018 | 273 | 2018 |
| Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model ZM Yaseen, I Ebtehaj, H Bonakdari, RC Deo, AD Mehr, WHMW Mohtar, ... Journal of Hydrology 554, 263-276, 2017 | 249 | 2017 |
| Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model RC Deo, MK Tiwari, JF Adamowski, JM Quilty Stochastic environmental research and risk assessment 31, 1211-1240, 2017 | 236 | 2017 |
| Computational intelligence approach for modeling hydrogen production: A review S Faizollahzadeh Ardabili, B Najafi, S Shamshirband, B Minaei Bidgoli, ... Engineering Applications of Computational Fluid Mechanics 12 (1), 438-458, 2018 | 225 | 2018 |
| Streamflow prediction using an integrated methodology based on convolutional neural network and long short-term memory networks S Ghimire, ZM Yaseen, AA Farooque, RC Deo, J Zhang, X Tao Scientific Reports 11 (1), 17497, 2021 | 193 | 2021 |
| Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia S Ghimire, RC Deo, NJ Downs, N Raj Journal of cleaner production 216, 288-310, 2019 | 190 | 2019 |
| Forecasting long-term global solar radiation with an ANN algorithm coupled with satellite-derived (MODIS) land surface temperature (LST) for regional locations in Queensland RC Deo, M Şahin Renewable and Sustainable Energy Reviews 72, 828-848, 2017 | 189 | 2017 |
| Artificial intelligence approach for the prediction of Robusta coffee yield using soil fertility properties L Kouadio, RC Deo, V Byrareddy, JF Adamowski, S Mushtaq Computers and electronics in agriculture 155, 324-338, 2018 | 188 | 2018 |
| Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition R Prasad, RC Deo, Y Li, T Maraseni Geoderma 330, 136-161, 2018 | 180 | 2018 |
| The influence of Reynolds number on a plane jet RC Deo, J Mi, GJ Nathan Physics of Fluids 20 (7), 2008 | 180 | 2008 |
Zaher Mundher Yaseen "highly cited r...King Fahd University of Petroleum and MineralsVerified email at kfupm.edu.sa
