| Fault diagnosis on beam-like structures from modal parameters using artificial neural networks SJS Hakim, HA Razak, SA Ravanfar Measurement 76, 45-61, 2015 | 87 | 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 | 73 | 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 | 70 | 2011 |
| 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 | 56 | 2013 |
| Adaptive neuro fuzzy inference system (ANFIS) and artificial neural networks (ANNs) for structural damage identification SJS Hakim, HA Razak Structural engineering and mechanics: An international journal 45 (6), 779-802, 2013 | 54 | 2013 |
| 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 | 52 | 2014 |
| 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 | 50 | 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 | 46 | 2007 |
| 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 | 19 | 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 | 18 | 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 | 17 | 2014 |
| 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 | 17 | 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), 515-528, 2008 | 16 | 2008 |
| 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 | 14 | 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 | 11 | 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 | 10 | 2006 |
| Structural damage detection using soft computing method SJS Hakim, HA Razak, SA Ravanfar, M Mohammadhassani Structural Health Monitoring, Volume 5, 143-151, 2014 | 9 | 2014 |
| 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 |
| Modal parameters based structural damage detection using artificial Neural networks-a review, Smart Struct SJS Hakim, HA Razak Syst 14 (2), 159-189, 2014 | 7 | 2014 |
| Damage detection of steel bridge girder using artificial neural networks SJS Hakim, HA Razak Emerging Technologies in Non-Destructive Testing V 409, 2012 | 7 | 2012 |
Hashim Abdul RazakProfessor, StrucHMRS Group, Department of Cvil Engineering, University of MalayaVerified email at um.edu.my
