| Forecasting gold prices using multiple linear regression method Z Ismail, A Yahya, A Shabri American Journal of Applied Sciences 6 (8), 1509, 2009 | 227 | 2009 |
| A hybrid model of self-organizing maps (SOM) and least square support vector machine (LSSVM) for time-series forecasting S Ismail, A Shabri, R Samsudin Expert Systems with Applications 38 (8), 10574-10578, 2011 | 166 | 2011 |
| Streamflow forecasting using least-squares support vector machines A Shabri, Suhartono Hydrological Sciences Journal 57 (7), 1275-1293, 2012 | 119 | 2012 |
| A comparison of time series forecasting using support vector machine and artificial neural network model R Samsudin, A Shabri, P Saad Journal of applied sciences 10 (11), 950-958, 2010 | 115 | 2010 |
| River flow time series using least squares support vector machines R Samsudin, P Saad, A Shabri Hydrology and Earth System Sciences 15 (6), 1835-1852, 2011 | 114 | 2011 |
| Daily crude oil price forecasting model using arima, generalized autoregressive conditional heteroscedastic and support vector machines RA Ahmed, AB Shabri American Journal of Applied Sciences 11 (3), 425, 2014 | 76 | 2014 |
| Daily crude oil price forecasting using hybridizing wavelet and artificial neural network model A Shabri, R Samsudin Mathematical Problems in Engineering 2014, 2014 | 67 | 2014 |
| Streamflow forecasting at ungaged sites using support vector machines ZA Zakaria, A Shabri Applied Mathematical Sciences 6 (60), 3003-3014, 2012 | 61 | 2012 |
| Flood frequency analysis of annual maximum stream flows using L-moments and TL-moments approach UN Ahmad, A Shabri, ZA Zakaria Applied Mathematical Sciences 5 (5), 243-253, 2011 | 52 | 2011 |
| Regional analysis of annual maximum rainfall using TL-moments method AB Shabri, ZM Daud, NM Ariff Theoretical and applied climatology 104, 561-570, 2011 | 51 | 2011 |
| Forecasting crude oil price using Kalman filter based on the reconstruction of modes of decomposition ensemble model W Gao, M Aamir, AB Shabri, R Dewan, A Aslam IEEE Access 7, 149908-149925, 2019 | 46 | 2019 |
| Modelling and forecasting monthly crude oil price of Pakistan: A comparative study of ARIMA, GARCH and ARIMA Kalman model M Aamir, A Shabri AIP conference proceedings 1750 (1), 2016 | 43 | 2016 |
| A hybrid model of self organizing maps and least square support vector machine for river flow forecasting S Ismail, A Shabri, R Samsudin Hydrology and Earth system sciences 16 (11), 4417-4433, 2012 | 43 | 2012 |
| Regional frequency analysis of extreme rainfalls in the west coast of Peninsular Malaysia using partial L-moments ZA Zakaria, A Shabri, UN Ahmad Water resources management 26, 4417-4433, 2012 | 41 | 2012 |
| Time-series prediction of streamflows of Malaysian rivers using data-driven techniques SM Pandhiani, P Sihag, AB Shabri, B Singh, QB Pham Journal of Irrigation and Drainage Engineering 146 (7), 04020013, 2020 | 40 | 2020 |
| Hybrid empirical mode decomposition-ARIMA for forecasting price of rice S Abadan, A Shabri Applied Mathematical Sciences 8 (63), 3133-3143, 2014 | 35 | 2014 |
| Comparison of time series forecasting methods using neural networks and Box-Jenkins model A Shabri Matematika, 25-32, 2001 | 35 | 2001 |
| Time series forecasting using wavelet-least squares support vector machines and wavelet regression models for monthly stream flow data SM Pandhiani, AB Shabri Scientific Research Publishing, 2013 | 32 | 2013 |
| Crude oil price forecasting based on hybridizing wavelet multiple linear regression model, particle swarm optimization techniques, and principal component analysis A Shabri, R Samsudin The Scientific World Journal 2014, 2014 | 30 | 2014 |
| A new approach for reconstruction of IMFs of decomposition and ensemble model for forecasting crude oil prices P Xu, M Aamir, A Shabri, M Ishaq, A Aslam, L Li Mathematical Problems in Engineering 2020, 1-23, 2020 | 28 | 2020 |
