| Validation of CFD model of multiphase flow through pipeline and annular geometries RA Sultan, MA Rahman, S Rushd, S Zendehboudi, VC Kelessidis Particulate Science and Technology, 2018 | 40 | 2018 |
| A generalized method for modeling the adsorption of heavy metals with machine learning algorithms N Hafsa, S Rushd, M Al-Yaari, M Rahman Water 12 (12), 3490, 2020 | 34 | 2020 |
| Terminal settling velocity of a single sphere in drilling fluid S Rushd, I Hassan, RA Sultan, VC Kelessidis, A Rahman, HS Hasan, ... Particulate Science and Technology, 2018 | 29 | 2018 |
| Experimental investigation of multiphase flow behavior in drilling annuli using high speed visualization technique AA Zahid, SR Ur Rehman, S Rushd, A Hasan, MA Rahman Frontiers in Energy 14, 635-643, 2020 | 26 | 2020 |
| Modeling the settling velocity of a sphere in Newtonian and non-Newtonian fluids with machine-learning algorithms S Rushd, N Hafsa, M Al-Faiad, M Arifuzzaman Symmetry 13 (1), 71, 2021 | 24 | 2021 |
| Greenhouse gas emissions from solid waste management in Saudi Arabia—Analysis of growth dynamics and mitigation opportunities MM Rahman, SM Rahman, MS Rahman, MA Hasan, SA Shoaib, S Rushd Applied Sciences 11 (4), 1737, 2021 | 22 | 2021 |
| Experimental investigation of volume fraction in an annulus using electrical resistance tomography SR Rehman, AA Zahid, A Hasan, I Hassan, MA Rahman, S Rushd Spe Journal 24 (05), 1947-1956, 2019 | 21 | 2019 |
| A new approach to model friction losses in the water‐assisted pipeline transportation of heavy oil and bitumen S Rushd, M McKibben, RS Sanders The Canadian Journal of Chemical Engineering 97 (8), 2347-2358, 2019 | 16 | 2019 |
| CFD analysis of pressure losses and deposition velocities in horizontal annuli RA Sultan, MA Rahman, S Rushd, S Zendehboudi, VC Kelessidis International Journal of Chemical Engineering 2019, 2019 | 16 | 2019 |
| Prediction of arsenic removal from contaminated water using artificial neural network model M Al-Yaari, THH Aldhyani, S Rushd Applied Sciences 12 (3), 999, 2022 | 15 | 2022 |
| 3D numerical and experimental modelling of multiphase flow through an annular geometry applied for cuttings transport H Ferroudji, MA Rahman, A Hadjadj, TN Ofei, MS Khaled, S Rushd, ... International Journal of Multiphase Flow 151, 104044, 2022 | 14 | 2022 |
| CFD methodology to determine the hydrodynamic roughness of a surface with application to viscous oil coatings S Rushd, A Islam, RS Sanders Journal of Hydraulic Engineering 144 (2), 04017067, 2018 | 14 | 2018 |
| Greenhouse gas emissions in the industrial processes and product use sector of Saudi Arabia—An emerging challenge MM Rahman, MS Rahman, SR Chowdhury, A Elhaj, SA Razzak, ... Sustainability 14 (12), 7388, 2022 | 12 | 2022 |
| Advanced machine learning applications to viscous oil-water multi-phase flow S Rushd, U Gazder, HJ Qureshi, M Arifuzzaman Applied Sciences 12 (10), 4871, 2022 | 12 | 2022 |
| Towards optimal machine learning model for terminal settling velocity S Rushd, MT Parvez, MA Al-Faiad, MM Islam Powder Technology 387, 95-107, 2021 | 12 | 2021 |
| Interaction effect of process parameters and Pd‐electrocatalyst in formic acid electro‐oxidation for fuel cell applications: Implementing supervised machine learning algorithms SKS Hossain, SS Ali, S Rushd, BV Ayodele, CK Cheng International Journal of Energy Research 46 (15), 21583-21597, 2022 | 10 | 2022 |
| Prediction of arsenic removal in aqueous solutions with non‐neural network algorithms N Hafsa, M Al‐Yaari, S Rushd The Canadian Journal of Chemical Engineering 99, S135-S146, 2021 | 8 | 2021 |
| A parametric study of the hydrodynamic roughness produced by a wall coating layer of heavy oil S Rushd, RS Sanders Petroleum Science 14, 155-166, 2017 | 8 | 2017 |
| Application of ANN to the water-lubricated flow of non-conventional crude I Dubdub, S Rushd, M Al-Yaari, E Ahmed Chemical Engineering Communications 209 (1), 47-61, 2022 | 7 | 2022 |
| Modeling friction losses in the water-assisted pipeline transportation of heavy oil S Rushd, RA Sultan, S Mahmud Processing of Heavy Crude Oils-Challenges and Opportunities, 2019 | 6 | 2019 |
