| Emerging artificial intelligence methods in structural engineering H Salehi, R Burgueño Engineering structures 171, 170-189, 2018 | 1065 | 2018 |
| Integrated structural health monitoring in bridge engineering Z He, W Li, H Salehi, H Zhang, H Zhou, P Jiao Automation in construction 136, 104168, 2022 | 199 | 2022 |
| Machine learning framework for predicting failure mode and shear capacity of ultra high performance concrete beams R Solhmirzaei, H Salehi, V Kodur, MZ Naser Engineering structures 224, 111221, 2020 | 169 | 2020 |
| Genetic programming in civil engineering: advent, applications and future trends Q Zhang, K Barri, P Jiao, H Salehi, AH Alavi Artificial Intelligence Review 54, 1863-1885, 2021 | 74 | 2021 |
| A comprehensive review of self-powered sensors in civil infrastructure: State-of-the-art and future research trends H Salehi, R Burgueño, S Chakrabartty, N Lajnef, AH Alavi Engineering Structures 234, 111963, 2021 | 71 | 2021 |
| Designing a neural network for closed thermosyphon with nanofluid using a genetic algorithm H Salehi, S Zeinali Heris, M Koolivand Salooki, SH Noei Brazilian Journal of Chemical Engineering 28, 157-168, 2011 | 62 | 2011 |
| Thermal response and stability characteristics of bistable composite laminates by considering temperature dependent material properties and resin layers M Moore, S Ziaei-Rad, H Salehi Applied Composite Materials 20, 87-106, 2013 | 54 | 2013 |
| Prevalence and pattern of antibiotic sensitivity of methicillin-sensitive and methicillin-resistant Staphylococcus aureus in Shiraz-Iran A Alborzi, BA Pourabbas, H Salehi, BH Pourabbas, SMR PANJEH IRANIAN JOURNAL OF MEDICAL SCIENCES (IJMS) 25 (12), 1-8, 2000 | 53 | 2000 |
| Data mining methodology employing artificial intelligence and a probabilistic approach for energy-efficient structural health monitoring with noisy and delayed signals H Salehi, S Das, S Biswas, R Burgueño Expert Systems with Applications 135, 259-272, 2019 | 47 | 2019 |
| Modeling of a nonlinear Euler-Bernoulli flexible beam actuated by two active shape memory alloy actuators MR Zakerzadeh, H Salehi, H Sayyaadi Journal of Intelligent Material Systems and Structures 22 (11), 1249-1268, 2011 | 42 | 2011 |
| Towards packet-less ultrasonic sensor networks for energy-harvesting structures S Das, H Salehi, Y Shi, S Chakrabartty, R Burgueno, S Biswas Computer Communications 101, 94-105, 2017 | 40 | 2017 |
| Structural assessment and damage identification algorithms using binary data H Salehi, S Das, S Chakrabartty, S Biswas, R Burgueño Smart Materials, Adaptive Structures and Intelligent Systems 57304, V002T05A011, 2015 | 39 | 2015 |
| Bird impact effects on different types of aircraft bubble windows using numerical and experimental methods H Salehi, S Ziaei-Rad, MA Vaziri-Zanjani International journal of crashworthiness 15 (1), 93-106, 2010 | 38 | 2010 |
| Nero-fuzzy modeling of the convection heat transfer coefficient for the nanofluid H Salehi, S Zeinali-Heris, M Esfandyari, M Koolivand Heat and Mass Transfer 49, 575-583, 2013 | 37 | 2013 |
| Structural damage identification using image‐based pattern recognition on event‐based binary data generated from self‐powered sensor networks H Salehi, S Das, S Chakrabartty, S Biswas, R Burgueño Structural Control and Health Monitoring 25 (4), e2135, 2018 | 36 | 2018 |
| Data interpretation framework integrating machine learning and pattern recognition for self-powered data-driven damage identification with harvested energy variations H Salehi, S Biswas, R Burgueño Engineering Applications of Artificial Intelligence 86, 136-153, 2019 | 34 | 2019 |
| Experimental study of a two-phase closed thermosyphon with nanofluid and magnetic field effect H Salehi, SZ Heris, SH Noie Journal of Enhanced Heat Transfer 18 (3), 2011 | 33 | 2011 |
| Damage identification in aircraft structures with self‐powered sensing technology: A machine learning approach H Salehi, S Das, S Chakrabartty, S Biswas, R Burgueño Structural Control and Health Monitoring 25 (12), e2262, 2018 | 32 | 2018 |
| Predicting flexural capacity of ultrahigh-performance concrete beams: machine learning–based approach R Solhmirzaei, H Salehi, V Kodur Journal of Structural Engineering 148 (5), 04022031, 2022 | 26 | 2022 |
| Machine learning-driven assessment of fire-induced concrete spalling of columns MZ Naser, H Salehi ACI Materials Journal 117 (6), 7-16, 2020 | 24 | 2020 |
Morteza EsfandyariAssociate Professor of Chemical EngineeringBestätigte E-Mail-Adresse bei ub.ac.ir