| Prediction of water quality index (WQI) using support vector machine (SVM) and least square-support vector machine (LS-SVM) WC Leong, A Bahadori, J Zhang, Z Ahmad International Journal of River Basin Management 19 (2), 149-156, 2021 | 177 | 2021 |
| Prediction of air pollution index (API) using support vector machine (SVM) WC Leong, RO Kelani, Z Ahmad Journal of Environmental Chemical Engineering 8 (3), 103208, 2020 | 166 | 2020 |
| Modelling and control of different types of polymerization processes using neural networks technique: a review RAM Noor, Z Ahmad, MM Don, MH Uzir The Canadian Journal of Chemical Engineering 88 (6), 1065-1084, 2010 | 127 | 2010 |
| Multi-objective optimization of two alkali catalyzed processes for bio-diesel from waste cooking oil GP Patle, D. S., Sharma, S., Ahmad, Z., Rangaiah Energy Conversion and Management 85, 361-372, 2014 | 94 | 2014 |
| Unified view of magnetic nanoparticle separation under magnetophoresis SS Leong, Z Ahmad, SC Low, J Camacho, J Faraudo, JK Lim Langmuir 36 (28), 8033-8055, 2020 | 90 | 2020 |
| Highly active alumina-supported Cs–Zr mixed oxide catalysts for low-temperature transesterification of waste cooking oil HAZABH Hameed Applied Catalysis A: General 487, 16-25, 2014 | 83 | 2014 |
| Operator training simulators in the chemical industry: review, issues, and future directions DS Patle, Z Ahmad, GP Rangaiah Reviews in Chemical Engineering 30 (2), 199-216, 2014 | 81 | 2014 |
| Transesterification of waste cooking palm oil by MnZr with supported alumina as a potential heterogeneous catalyst H Amani, Z Ahmad, M Asif, BH Hameed Journal of Industrial and Engineering Chemistry 20 (6), 4437-4442, 2014 | 76 | 2014 |
| Model predictive control (MPC) and its current issues in chemical engineering AS Kumar, Z Ahmad Chemical Engineering Communications 199 (4), 472-511, 2012 | 76 | 2012 |
| Combination of multiple neural networks using data fusion techniques for enhanced nonlinear process modelling Z Ahmad, J Zhang Computers & chemical engineering 30 (2), 295-308, 2005 | 73 | 2005 |
| Improving Water Quality Index Prediction in Perak River Basin Malaysia through the Combination of Multiple Neural Networks Z Ahmad, NA Rahim, A Bahadori, J Zhang International Journal of River Basin Management 15 (1), 79-87, 2017 | 71 | 2017 |
| Magnetophoresis of superparamagnetic nanoparticles at low field gradient: hydrodynamic effect SS Leong, Z Ahmad, JK Lim Soft Matter 11 (35), 6968-6980, 2015 | 69 | 2015 |
| Biodiesel production by non-catalytic supercritical methyl acetate: Thermal stability study NM Niza, KT Tan, KT Lee, Z Ahmad Applied energy 101, 198-202, 2013 | 59 | 2013 |
| Recent trends in sustainable biodiesel production using heterogeneous nanocatalysts: function of supports, promoters, synthesis techniques, reaction mechanism, and kinetics and … M Ahmed, KA Ahmad, DVN Vo, M Yusuf, A Haq, A Abdullah, M Aslam, ... Energy Conversion and Management 280, 116821, 2023 | 48 | 2023 |
| Bayesian selective combination of multiple neural networks for improving long-range predictions in nonlinear process modelling Z Ahmad, J Zhang Neural Computing & Applications 14, 78-87, 2005 | 48 | 2005 |
| Evaluation of the ability of the hydrophobic nanoparticles of SiO2 in the EOR process through carbonate rock samples A Mohammad-Ali, Z Ahmad, P Le Thi Kim, K Tomoaki, B Alireza Petroleum Science and Technology 34 (11-12), 1048-1054, 2016 | 42 | 2016 |
| Modeling of true vapor pressure of petroleum products using ANFIS algorithm B Alireza, B Meysam, Z Ahmad, K Tomoaki, B Alireza Petroleum Science and Technology 34 (10), 933-939, 2016 | 42* | 2016 |
| Nonlinear modelling application in distillation column Z Abdullah, N Aziz, Z Ahmad Chemical Product and Process Modeling 2 (3), 2007 | 42 | 2007 |
| Computational intelligent strategies to predict energy conservation benefits in excess air controlled gas-fired systems B Alireza, B Alireza, B Meysam, L Moonyong, Z Ahmad, Z Mehrasa, ... Applied Thermal Engineering 102, 432–446, 2016 | 41 | 2016 |
| Estimation of natural gases water content using adaptive neuro-fuzzy inference system B Alireza, K Tomoaki, B Meysam, Z Ahmad, B Alireza Petroleum Science and Technology 34 (10), 891-897, 2016 | 40 | 2016 |
