‪Dr. Seyed Jamalaldin Seyed Hakim‬

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	All	Since 2019
Citations	983	627
h-index	16	13
i10-index	20	18

160

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2010201120122013201420152016201720182019202020212022202320244 7 7 32 47 39 57 71 89 88 117 129 143 108 42

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
Shahrul Niza Mokhatar, S. N. MokhatarLecturer, Universiti Tun Hussein Onn MalaysiaVerified email at uthm.edu.my
Waleed thanoonProfessor Civil Engineering, StructuresVerified email at unizwa.edu.om
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
Nor Hayati Abd GhafarUniversity of Canterbury, Universiti Tun Hussein OnnVerified 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
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
DR. MOHD HAZIMAN WAN IBRAHIMUNIVERSITI TUN HUSSEIN ONN MALAYSIAVerified email at uthm.edu.my
David YeohUniversity of Canterbury, Universiti Tun Hussein OnnVerified email at uthm.edu.my
shahiron shahidanJamilus Research Center, Universiti Tun Hussien Onn MalaysiaVerified email at uthm.edu.my
Sallehuddin Shah AyopLecturerVerified email at uthm.edu.my
Mohamed CHEMROUKUniversité des Sciences et Technologie (USTHB), AlgerVerified email at usthb.dz
Masoud PaknahadAssistant Professor, Mahallat Institute of Higher Education, Mahallat, IranVerified email at mahallat.ac.ir
Mohd Irwan JukiUniversiti Tun Hussein Onn Malaysia (UTHM)Verified email at uthm.edu.my
Ahmed BudieaSenior Lecturer, Universiti Malaysia PahangVerified email at ump.edu.my

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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Fault diagnosis on beam-like structures from modal parameters using artificial neural networks SJS Hakim, HA Razak, SA Ravanfar Measurement 76, 45-61, 2015	117	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	96	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	88	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	76	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	73	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	73	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	63	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	52	2007
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	31	2014
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	28	2016
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	28	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	25	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	25	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	24	2015
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	18	2014
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
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	16	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	16	2012
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	12	2016
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	12	2006

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