| Survey of utilisation of fuzzy technology in medicine and healthcare MF Abbod, DG von Keyserlingk, DA Linkens, M Mahfouf Fuzzy Sets and Systems 120 (2), 331-349, 2001 | 269 | 2001 |
| Promoter hypermethylation identifies progression risk in bladder cancer DR Yates, I Rehman, MF Abbod, M Meuth, SS Cross, DA Linkens, ... Clinical Cancer Research 13 (7), 2046-2053, 2007 | 204 | 2007 |
| A survey of fuzzy logic monitoring and control utilisation in medicine M Mahfouf, MF Abbod, DA Linkens Artificial intelligence in medicine 21 (1-3), 27-42, 2001 | 171 | 2001 |
| Fuzzy logic-based anti-sway control design for overhead cranes M Mahfouf, CH Kee, MF Abbod, DA Linkens Neural Computing & Applications 9 (1), 38-43, 2000 | 121 | 2000 |
| Artificial immune systems-models, algorithms and applications JR Al-Enezi, MF Abbod, S Alsharhan Academic Research Publishing Agency, 2010 | 119 | 2010 |
| Classifiers consensus system approach for credit scoring M Ala'raj, MF Abbod Knowledge-Based Systems 104, 89-105, 2016 | 118 | 2016 |
| Artificial intelligence in predicting bladder cancer outcome: a comparison of neuro-fuzzy modeling and artificial neural networks JWF Catto, DA Linkens, MF Abbod, M Chen, JL Burton, KM Feeley, ... Clinical Cancer Research 9 (11), 4172-4177, 2003 | 118 | 2003 |
| Multiresolution analysis using wavelet, ridgelet, and curvelet transforms for medical image segmentation S AlZubi, N Islam, M Abbod International journal of biomedical imaging 2011, 2011 | 104 | 2011 |
| Statistical data mining and knowledge discovery H Bozdogan CRC Press, 2003 | 96 | 2003 |
| Application of artificial intelligence to the management of urological cancer MF Abbod, JWF Catto, DA Linkens, FC Hamdy The Journal of urology 178 (4), 1150-1156, 2007 | 91 | 2007 |
| A new hybrid ensemble credit scoring model based on classifiers consensus system approach M Ala'raj, MF Abbod Expert Systems with Applications 64, 36-55, 2016 | 87 | 2016 |
| MANET routing protocols taxonomy NH Saeed, MF Abbod, HS Al-Raweshidy 2012 International Conference on Future Communication Networks, 123-128, 2012 | 69 | 2012 |
| A novel maximum power point tracking technique based on fuzzy logic for photovoltaic systems SD Al-Majidi, MF Abbod, HS Al-Raweshidy International Journal of Hydrogen Energy 43 (31), 14158-14171, 2018 | 65 | 2018 |
| Application of multivariate empirical mode decomposition and sample entropy in EEG signals via artificial neural networks for interpreting depth of anesthesia JR Huang, SZ Fan, MF Abbod, KK Jen, JF Wu, JS Shieh Entropy 15 (9), 3325-3339, 2013 | 64 | 2013 |
| Hybrid modelling of aluminium–magnesium alloys during thermomechanical processing in terms of physically-based, neuro-fuzzy and finite element models Q Zhu, MF Abbod, J Talamantes-Silva, CM Sellars, DA Linkens, ... Acta materialia 51 (17), 5051-5062, 2003 | 54 | 2003 |
| Analysis of EEG via multivariate empirical mode decomposition for depth of anesthesia based on sample entropy Q Wei, Q Liu, SZ Fan, CW Lu, TY Lin, MF Abbod, JS Shieh Entropy 15 (9), 3458-3470, 2013 | 53 | 2013 |
| The application of artificial intelligence to microarray data: identification of a novel gene signature to identify bladder cancer progression JWF Catto, MF Abbod, PJ Wild, DA Linkens, C Pilarsky, I Rehman, ... European urology 57 (3), 398-406, 2010 | 53 | 2010 |
| EEG signals analysis using multiscale entropy for depth of anesthesia monitoring during surgery through artificial neural networks Q Liu, YF Chen, SZ Fan, MF Abbod, JS Shieh Computational and mathematical methods in medicine 2015, 2015 | 49 | 2015 |
| Multivariate multiscale entropy applied to center of pressure signals analysis: an effect of vibration stimulation of shoes Q Wei, DH Liu, KH Wang, Q Liu, MF Abbod, BC Jiang, KP Chen, C Wu, ... Entropy 14 (11), 2157-2172, 2012 | 48 | 2012 |
| Survey on the use of smart and adaptive engineering systems in medicine MF Abbod, DA Linkens, M Mahfouf, G Dounias Artificial Intelligence in Medicine 26 (3), 179-209, 2002 | 46 | 2002 |
