Dr. Seyed Jamalaldin Seyed Hakim

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	All	Since 2018
Citations	921	653
h-index	15	13
i10-index	20	17

140

105

201020112012201320142015201620172018201920202021202220234 6 7 32 48 39 57 71 91 88 119 128 127 100

Co-authors

Seyed Alireza RavanfarUniversity MalayaVerified email at siswa.um.edu.my
Mohammad MohammadhasaniVerified email at bhrc.ac.ir
Mohd Saleh JaafarProfessor of Civil Engineering, Universiti Putra MalaysiaVerified email at upm.my
Waleed thanoonProfessor Civil Engineering, StructuresVerified email at unizwa.edu.om
Shahrul Niza Mokhatar, S. N. MokhatarLecturer, Universiti Tun Hussein Onn MalaysiaVerified email at uthm.edu.my
Ahmad Fahmy KamarudinUniversiti Tun Hussein Onn MalaysiaVerified email at uthm.edu.my
Tuan Norhayati Tuan ChikLecturer of Civil Engineering, Universiti Tun Hussein Onn MalaysiaVerified email at uthm.edu.my
Zainorizuan Mohd JainiSenior Lecturer of Structural Engineering, Universiti Tun Hussein Onn MalaysiaVerified email at uthm.edu.my
Vahid NouraniProfessor of Civil and Env. Eng., Univ. of Tabriz , Near East Univ., Charles Darwin Univ.Verified email at tabrizu.ac.ir
Nor Hayati Abd GhafarUniversity of Canterbury, Universiti Tun Hussein OnnVerified email at uthm.edu.my
Hossein Nezamabadi-pourProfessor of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman, IranVerified email at uk.ac.ir
Majid ZargarPhD - Road & PavementVerified email at ghd.com
David YeohUniversity of Canterbury, Universiti Tun Hussein OnnVerified email at uthm.edu.my
Mohamed CHEMROUKUniversité des Sciences et Technologie (USTHB), AlgerVerified email at usthb.dz
shahiron shahidanJamilus Research Center, Universiti Tun Hussien Onn MalaysiaVerified email at uthm.edu.my
DR. MOHD HAZIMAN WAN IBRAHIMUNIVERSITI TUN HUSSEIN ONN MALAYSIAVerified email at uthm.edu.my
Sallehuddin Shah AyopLecturerVerified email at uthm.edu.my
Mohd Irwan JukiUniversiti Tun Hussein Onn Malaysia (UTHM)Verified email at uthm.edu.my
Masoud PaknahadAssistant Professor, Mahallat Institute of Higher Education, Mahallat, IranVerified email at mahallat.ac.ir
Pedram HosseiniAssistant Professor, Mahallat Institute of Higher Education, Mahallat, IranVerified email at mahallat.ac.ir

Dr. Seyed Jamalaldin Seyed Hakim

University Tun Hussein Onn Malaysia (UTHM) and University of Malaya (UM)

Verified email at uthm.edu.my

Structural Engineering Structural Health Monitoring Structural Dynamic Finite Element Simulation Artificial Intelligence


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Fault diagnosis on beam-like structures from modal parameters using artificial neural networks SJS Hakim, HA Razak, SA Ravanfar Measurement 76, 45-61, 2015	116	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	89	2014
Application of artificial neural networks to predict compressive strength of high strength concrete SJS Hakim, J Noorzaei, MS Jaafar, M Jameel, M Mohammadhassani Int. J. Phys. Sci 6 (5), 975-981, 2011	87	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, 2999-3018, 2014	72	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	70	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	68	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	61	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	51	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, 635-653, 2016	27	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	27	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	25	2011
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	24	2011
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	23	2007
Ensemble neural networks for structural damage identification using modal data SJS Hakim, HA Razak, SA Ravanfar International Journal of Damage Mechanics, 1-31, 2015	19	2015
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	18	2008
Structural damage detection using soft computing method SJS Hakim, HA Razak, SA Ravanfar, M Mohammadhassani Structural Health Monitoring, Volume 5: Proceedings of the 32nd IMAC, A …, 2014	14	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	13	2015
Damage identification using experimental modal analysis and adaptive neuro-fuzzy interface system (ANFIS) SJS Hakim, HA Razak Topics in Modal Analysis I, Volume 5: Proceedings of the 30th IMAC, A …, 2012	13	2012
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	11	2006
A hybrid wavelet based–approach and genetic algorithm to detect damage in beam-like structures without baseline data SA Ravanfar, H Abdul Razak, Z Ismail, SJS Hakim Experimental Mechanics 56, 1411-1426, 2016	10	2016

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