| Statistical pattern recognition for Structural Health Monitoring using time series modeling: Theory and experimental verifications M Gul, FN Catbas Mechanical Systems and Signal Processing 23 (7), 2192-2204, 2009 | 358 | 2009 |
| A cost effective solution for pavement crack inspection using cameras and deep neural networks Q Mei, M Gül Construction and Building Materials 256, 119397, 2020 | 213 | 2020 |
| Structural health monitoring and damage assessment using a novel time series analysis methodology with sensor clustering M Gul, FN Catbas Journal of Sound and Vibration 330 (6), 1196-1210, 2011 | 191 | 2011 |
| Structural identification of constructed systems FN Çatbaş, T Kijewski-Correa, AE Aktan Reston (VI): American Society of Civil Engineers, 2013 | 186* | 2013 |
| Densely connected deep neural network considering connectivity of pixels for automatic crack detection Q Mei, M Gül, MR Azim Automation in Construction 110, 103018, 2020 | 167 | 2020 |
| Indirect health monitoring of bridges using Mel-frequency cepstral coefficients and principal component analysis Q Mei, M Gül, M Boay Mechanical Systems and Signal Processing 119, 523-546, 2019 | 156 | 2019 |
| Damage assessment using flexibility and flexibility-based curvature for structural health monitoring FN Catbas, M Gul, JL Burkett Smart materials and structures 17 (1), 015024, 2007 | 131 | 2007 |
| Ambient vibration data analysis for structural identification and global condition assessment M Gul, FN Catbas Journal of Engineering Mechanics 134 (8), 650-662, 2008 | 117 | 2008 |
| Automated finite element model updating of a scale bridge model using measured static and modal test data M Sanayei, A Khaloo, M Gul, FN Catbas Engineering Structures 102, 66-79, 2015 | 115 | 2015 |
| Conceptual damage-sensitive features for structural health monitoring: laboratory and field demonstrations FN Catbas, M Gul, JL Burkett Mechanical systems and signal processing 22 (7), 1650-1669, 2008 | 114 | 2008 |
| Damage detection under varying temperature using artificial neural networks J Gu, M Gul, X Wu Structural Control and Health Monitoring 24 (11), e1998, 2017 | 112 | 2017 |
| A crowdsourcing-based methodology using smartphones for bridge health monitoring Q Mei, M Gül Structural Health Monitoring 18 (5-6), 1602-1619, 2019 | 108 | 2019 |
| Monitoring building energy consumption, thermal performance, and indoor air quality in a cold climate region T Sharmin, M Gül, X Li, V Ganev, I Nikolaidis, M Al-Hussein Sustainable Cities and Society 13, 57-68, 2014 | 108 | 2014 |
| Damage assessment with ambient vibration data using a novel time series analysis methodology M Gul, FN Catbas Journal of Structural Engineering 137 (12), 1518-1526, 2011 | 107 | 2011 |
| Nonparametric analysis of structural health monitoring data for identification and localization of changes: Concept, lab, and real-life studies FN Catbas, HB Gokce, M Gul Structural Health Monitoring 11 (5), 613-626, 2012 | 104 | 2012 |
| Vibration-based structural damage identification under varying temperature effects MS Huang, M Gül, HP Zhu Journal of Aerospace Engineering 31 (3), 04018014, 2018 | 91 | 2018 |
| Criteria-based ranking of green building design factors according to leading rating systems A Alwisy, S BuHamdan, M Gül Energy and Buildings 178, 347-359, 2018 | 85 | 2018 |
| Vibration-based damage detection of bridges under varying temperature effects using time-series analysis and artificial neural networks B Kostić, M Gül Journal of Bridge Engineering 22 (10), 04017065, 2017 | 80 | 2017 |
| Sensor networks, computer imaging, and unit influence lines for structural health monitoring: Case study for bridge load rating FN Catbas, R Zaurin, M Gul, HB Gokce Journal of Bridge Engineering 17 (4), 662-670, 2012 | 80 | 2012 |
| Optimisation of community shared solar application in energy efficient communities H Awad, M Gül Sustainable cities and society 43, 221-237, 2018 | 72 | 2018 |