- Bakhary, N, K.H. Padil and Hao, H. (2017). The use of a non-probabilistic artificial neural network to consider uncertainties in vibration-based-damage detection. Mechanical Systems and Signal Processing 83 194-209. (Impact factor: 2.771)
- Egba, E.I., Bakhary, N. and Ismail, M. (2016). Influence of natural climate curing treatment on corrosion activity of reinforced concrete. Indian Journal of Science and Technology, 9 (46). (Scopus)
- Bakhary, N., Hao, H. and Deeks, A. (2007). Damage detection using artificial neural network with consideration of uncertainties. Engineering Structures, 29(11) 2806-2815. (Impact factor: 1.713)
- Bakhary, N., Hao, H., and Deeks, A. (2010). Structure Damage Detection Using Neural Network with Multi-stage Sub structuring. Advances in Structural Engineering, 13(1) 95-110. (Impact factor: 0.489). Recipient of The 2013 Certificate of Commendation by Advances of Structural Engineering Journal).
- Bakhary, N., Hao, H., and Deeks, A. (2010). Substructuring Technique for Damage Detection Using Statistical Multi-Stage Artificial Neural Network. Advances in Structural Engineering, 13(4), 619-639 (Impact factor: 0.489)
- D.,Goh.,Bakhary, N., Rahman, A.A., Ahmad, B.H. (2013). Application of neural network for prediction of unmeasured mode shape in damage detection. Advances in Structural Engineering, 16(1), 99-113 (Impact factor: 0.489)
- Tong, K.H.,Bakhary, N., Kueh, A.B.H., Mohd Yassin, A.Y. (2014). Optimal sensor placement for mode shapes using improved simulated annealing. Smart Structures and 13 (3), 389-406. (Impact factor: 1.438).
- Umar, S, Bakhary, N., (2015) Comparative Study on Design of Experiment in Frequency-based Response Surface Methodology for Damage Detection. Applied Mechanics and Materials, 735, 168-173.
- Bakhary, N., Hao, H., and Deeks, A. (2008). Substructuring technique for damage detection using statistical multi-stage Artificial Neural Network. Proceeding of 20th Australasian Conference on the Mechanics of Structures and Materials, Toowomba, Australia. (Scopus)
- Mutalib, A.A. and Bakhary, N. K. (2011). Empirical formulae to predict pressure and impulsive asymptotes for P-I diagrams of RC columns strengthened with FRP. Jurnal Teknologi 55, 27-38. (Scopus)
- D.,Goh.,Bakhary, N., Rahman, A.A., Ahmad, B.H.A. (2011). Comparison of artificial neural network learning algorithms for vibration-based damage detection. Advanced Materials Research 163-167, 2756-2762. (Scopus)
- Hajihasani, N.,Bakhary, N. (2011). Detection of concrete spalling using changes in modal flexibility. Advanced Materials Research 163-167, 2598-2602. (Scopus)
- Hong, T.K.,Bakhary, N., Mutalib, A., Anang, R. (2011). Vibration-based damage detection using modal data: An experimental verification. Jurnal Teknologi 56, 31-44. (Scopus)
- D.,Goh.,Bakhary, N., Rahman, A.A., Ahmad, B.H.A. (2013). Prediction of unmeasured mode shape using artificial neural network for damage detection. Jurnal Teknologi 61(1), 57-56. (Scopus)
- Goh, L.D.,Bakhary, N., Rahman, A.A., Ahmad, B.H. (2014). Factors Influencing Natural Frequencies in a Prestressed Concrete Panel for Damage Detection. Jurnal Teknologi (Scopus)
- Bakhary, N., K. Yahya and C.H. Ng, (2004). Univariate Artificial Neural Network in Forcasting Demand of Low Cost House in Petaling Jaya. Jurnal Teknologi 40B, 65-75.
- Bakhary, N., (2006). Vibration-based damage detection of Slab Structure using Artificial Neural Network. Jurnal Teknologi 44B,17-40. (Scopus)
- Bakhary, N., (2010) Statistical Vibration Based Damage Identification Using Artificial Neural Network. Jurnal Teknologi 52, 49-60.
- Bakhary, N., Hao, H., and Deeks, A. (2008). Substructuring technique for damage detection using statistical multi-stage Artificial Neural Network. Proceeding of 20th Australasian Conference on the Mechanics of Structures and Materials, Toowomba, Australia. (Scopus)