| Transparent predictive modelling of catalytic hydrodesulfurization using an interval type-2 fuzzy logic HA Al-Jamimi, TA Saleh Journal of cleaner production 231, 1079-1088, 2019 | 56 | 2019 |
| Machine learning approaches for predicting software maintainability: a fuzzy‐based transparent model MA Ahmed, HA Al-Jamimi IET software 7 (6), 317-326, 2013 | 55 | 2013 |
| Supervised machine learning techniques in the desulfurization of oil products for environmental protection: A review HA Al-Jamimi, S Al-Azani, TA Saleh Process Safety and Environmental Protection 120, 57-71, 2018 | 48 | 2018 |
| Multiobjective optimization and analysis of petroleum refinery catalytic processes: A review HA Al-Jamimi, GM BinMakhashen, K Deb, TA Saleh Fuel 288, 119678, 2021 | 41 | 2021 |
| An intelligent approach for the modeling and experimental optimization of molecular hydrodesulfurization over AlMoCoBi catalyst HA Al-Jamimi, A Bagudu, TA Saleh Journal of Molecular Liquids 278, 376-384, 2019 | 35 | 2019 |
| Efficient prediction of software fault proneness modules using support vector machines and probabilistic neural networks HA Al-Jamimi, L Ghouti 2011 Malaysian Conference in Software Engineering, 251-256, 2011 | 35 | 2011 |
| Machine learning-based software quality prediction models: state of the art HA Al-Jamimi, M Ahmed 2013 International Conference on Information Science and Applications (ICISA …, 2013 | 33 | 2013 |
| Prediction of software maintainability using fuzzy logic HA Al-Jamimi, M Ahmed 2012 IEEE International Conference on Computer Science and Automation …, 2012 | 30 | 2012 |
| Use of bibliometrics for research evaluation in emerging markets economies: a review and discussion of bibliometric indicators HA Al-Jamimi, GM BinMakhashen, L Bornmann Scientometrics 127 (10), 5879-5930, 2022 | 24 | 2022 |
| Arabic character recognition using gabor filters HA Al-Jamimi, SA Mahmoud Innovations and advances in computer sciences and engineering, 113-118, 2010 | 22 | 2010 |
| Multiobjectives optimization in petroleum refinery catalytic desulfurization using Machine learning approach HA Al-Jamimi, GM BinMakhashen, TA Saleh Fuel 322, 124088, 2022 | 21 | 2022 |
| Fuzzy logic–based scheme for load balancing in grid services T Helmy, H Al-Jamimi, B Ahmed, H Loqman Journal of Software Engineering and Applications 5 (12), 149, 2013 | 20 | 2013 |
| Prediction of compressive strength in plain and blended cement concretes using a hybrid artificial intelligence model HA Al-Jamimi, WA Al-Kutti, S Alwahaishi, KS Alotaibi Case Studies in Construction Materials 17, e01238, 2022 | 16 | 2022 |
| Toward comprehensible software defect prediction models using fuzzy logic HA Al-Jamimi 2016 7th IEEE International Conference on Software Engineering and Service …, 2016 | 16 | 2016 |
| Ensemble meta machine learning for predicting the adsorption of anionic and cationic dyes from aqueous solutions using Polymer/graphene/clay/MgFeAl-LTH nanocomposite GM BinMakhashen, SA Bahadi, HA Al-Jamimi, SA Onaizi Chemosphere 349, 140861, 2024 | 13 | 2024 |
| Empirical taxonomy of refactoring methods for aspect‐oriented programming M Alshayeb, H Al‐Jamimi, MO Elish Journal of Software: Evolution and Process 25 (1), 1-25, 2013 | 12 | 2013 |
| Transition from analysis to software design: A review and new perspective HA Al-Jamimi, M Ahmed arXiv preprint arXiv:1401.5183, 2014 | 11 | 2014 |
| Artificial intelligence approach for modeling petroleum refinery catalytic desulfurization process HA Al-Jamimi, GM BinMakhashen, TA Saleh Neural Computing and Applications 34 (20), 17809-17820, 2022 | 9 | 2022 |
| Software Engineering and Computer Systems, Part III: Second International Conference, ICSECS 2011, Kuantan, Pahang, Malaysia, June 27-29, 2011, Proceedings JM Zain, WMW Mohd, E El-Qawasmeh Springer Science & Business Media, 2011 | 9 | 2011 |
| Optimal hybrid artificial intelligence models for predicting the adsorptive removal of dyes and phenols from aqueous solutions using an amine-functionalized graphene oxide … HA Al-Jamimi, SA Bahadi, GM BinMakhashen, SA Onaizi Journal of Molecular Liquids 391, 123374, 2023 | 8 | 2023 |
Galal M. BinMakhashenKing Fahd University of Petroleum & Minerals在 kfupm.edu.sa 的电子邮件经过验证
