| Fault diagnosis on beam-like structures from modal parameters using artificial neural networks SJS Hakim, HA Razak, SA Ravanfar Measurement 76, 45-61, 2015 | 70 | 2015 |
| Modal parameters based structural damage detection using artificial neural networks-a review SJS Hakim, HA Razak Smart Structures and Systems 14 (2), 159-189, 2014 | 65 | 2014 |
| Application of artificial neural networks to predict compressive strength of high strength concrete SJS Hakim, J Noorzaei, MS Jaafar, M Jameel, M Mohammadhassani International Journal of Physical Sciences 6 (5), 975-981, 2011 | 63 | 2011 |
| Development of nonlinear model based on wavelet-ANFIS for rainfall forecasting at Klang Gates Dam SA Akrami, V Nourani, SJS Hakim Water resources management 28 (10), 2999-3018, 2014 | 44 | 2014 |
| Structural damage detection of steel bridge girder using artificial neural networks and finite element models SJS Hakim, HA Razak Steel Compos. Struct 14 (4), 367-377, 2013 | 43 | 2013 |
| Application of the ANFIS model in deflection prediction of concrete deep beam M Mohammadhassani, H Nezamabadi-Pour, M Jumaat, M Jameel, ... Structural Engineering and Mechanics 45 (3), 319-332, 2013 | 43 | 2013 |
| Adaptive neuro fuzzy inference system (ANFIS) and artificial neural networks (ANNs) for structural damage identification SJS Hakim, HA Razak Structural Engineering and Mechanics 45 (6), 779-802, 2013 | 42 | 2013 |
| Development of artificial neural networks for predicting concrete compressive strength J Noorzaei, SJS Hakim, MS Jaafar, WAM Thanoon International Journal of engineering and Technology 4 (2), 141-153, 2007 | 39 | 2007 |
| An experimental investigation of the stress-strain distribution in high strength concrete deep beams M Mohammad, MZB Jumaat, M Chemrouk, A Ghasemi, SJS Hakim, ... Procedia Engineering 14, 2141-2150, 2011 | 16 | 2011 |
| An approach to predict ultimate bearing capacity of surface footings using artificial neural network J Noorzaei, SJS Hakim, MS Jaafar Indian Geotechnical Journal 38 (4), 513-526, 2008 | 16 | 2008 |
| An optimal architecture of artificial neural network for predicting compressive strength of concrete J Noorzaei, SJS Hakim, MS Jaafar, AAA Ali, WAM Thanoon Indian Concrete Journal 81 (8), 17, 2007 | 16 | 2007 |
| A two-step damage identification approach for beam structures based on wavelet transform and genetic algorithm SA Ravanfar, HA Razak, Z Ismail, SJS Hakim Meccanica 51 (3), 635-653, 2016 | 15 | 2016 |
| Frequency response function-based structural damage identification using artificial neural networks-a review SJS Hakim, HA Razak Research Journal of Applied Sciences, Engineering and Technology 7 (9), 1750 …, 2014 | 13 | 2014 |
| Application of artificial neural network on vibration test data for damage identification in bridge girder SJS Hakim, H Abdul Razak International Journal of the Physical Sciences 6 (35), 7991-8001, 2011 | 12 | 2011 |
| Ensemble neural networks for structural damage identification using modal data SJS Hakim, HA Razak, SA Ravanfar International Journal of Damage Mechanics, 1-31, 2015 | 9 | 2015 |
| Development and applications of artificial neural network for prediction of ultimate bearing capacity of soil and compressive strength of concrete SJS Hakim Universiti Putra Malaysia, 2006 | 9 | 2006 |
| A hybrid procedure for structural damage identification in beam-like structures using wavelet analysis SA Ravanfar, HA Razak, Z Ismail, SJS Hakim Advances in Structural Engineering 18 (11), 1901-1913, 2015 | 7 | 2015 |
| Structural damage detection using soft computing method SJS Hakim, HA Razak, SA Ravanfar, M Mohammadhassani Structural Health Monitoring, Volume 5, 143-151, 2014 | 7 | 2014 |
| Structural damage identification using Artificial Neural Networks (ANNs) and Adaptive Neuro Fuzzy Interface System (ANFIS) SJS Hakim, HA Razak, SA Ravanfar Proceedings of the 9th international conference on structural dynamics, 2537 …, 2014 | 6 | 2014 |
| A hybrid wavelet based–approach and genetic algorithm to detect damage in beam-like structures without baseline data SA Ravanfar, HA Razak, Z Ismail, SJS Hakim Experimental Mechanics 56 (8), 1411-1426, 2016 | 5 | 2016 |
Hashim Abdul RazakProfessor, StrucHMRS Group, Department of Cvil Engineering, University of MalayaVerified email at um.edu.my
