| Health monitoring of civil infrastructures using wireless sensor networks S Kim, S Pakzad, D Culler, J Demmel, G Fenves, S Glaser, M Turon Proceedings of the 6th international conference on Information processing in …, 2007 | 1565 | 2007 |
| Design and implementation of scalable wireless sensor network for structural monitoring SN Pakzad, GL Fenves, S Kim, DE Culler Journal of infrastructure systems 14 (1), 89-101, 2008 | 424 | 2008 |
| Wireless sensor networks for structural health monitoring S Kim, S Pakzad, D Culler, J Demmel, G Fenves, S Glaser, M Turon Proceedings of the 4th international conference on Embedded networked sensor …, 2006 | 252 | 2006 |
| Autoregressive statistical pattern recognition algorithms for damage detection in civil structures R Yao, SN Pakzad Mechanical Systems and Signal Processing 31, 355-368, 2012 | 224 | 2012 |
| Statistical analysis of vibration modes of a suspension bridge using spatially dense wireless sensor network SN Pakzad, GL Fenves Journal of structural engineering 135 (7), 863-872, 2009 | 147 | 2009 |
| Crowdsensing framework for monitoring bridge vibrations using moving smartphones TJ Matarazzo, P Santi, SN Pakzad, K Carter, C Ratti, B Moaveni, ... Proceedings of the IEEE 106 (4), 577-593, 2018 | 140 | 2018 |
| Bridge modal identification using acceleration measurements within moving vehicles SS Eshkevari, TJ Matarazzo, SN Pakzad Mechanical Systems and Signal Processing 141, 106733, 2020 | 130 | 2020 |
| Optimal sensor placement for modal identification of bridge systems considering number of sensing nodes M Chang, SN Pakzad Journal of Bridge Engineering 19 (6), 04014019, 2014 | 120 | 2014 |
| Convolutional neural network approach for robust structural damage detection and localization NS Gulgec, M Takáč, SN Pakzad Journal of computing in civil engineering 33 (3), 04019005, 2019 | 107 | 2019 |
| Modified natural excitation technique for stochastic modal identification M Chang, SN Pakzad Journal of Structural Engineering 139 (10), 1753-1762, 2013 | 104 | 2013 |
| Observer Kalman filter identification for output-only systems using interactive structural modal identification toolsuite M Chang, SN Pakzad Journal of Bridge Engineering 19 (5), 04014002, 2014 | 92 | 2014 |
| Modal identification of bridges using mobile sensors with sparse vibration data S Sadeghi Eshkevari, SN Pakzad, M Takáč, TJ Matarazzo Journal of Engineering Mechanics 146 (4), 04020011, 2020 | 79 | 2020 |
| Multi-purpose wireless accelerometers for civil infrastructure monitoring SN Pakzad, S Kim, GL Fenves, SD Glaser, DE Culler, JW Demmel Proceedings of the 5th International Workshop on Structural Health …, 2005 | 74 | 2005 |
| Structural sensing with deep learning: Strain estimation from acceleration data for fatigue assessment NS Gulgec, M Takáč, SN Pakzad Computer‐Aided Civil and Infrastructure Engineering 35 (12), 1349-1364, 2020 | 72 | 2020 |
| Localized structural damage detection: a change point analysis MB Nigro, SN Pakzad, S Dorvash Computer‐Aided Civil and Infrastructure Engineering 29 (6), 416-432, 2014 | 72 | 2014 |
| Development and deployment of large scale wireless sensor network on a long-span bridge SN Pakzad Smart Structures and Systems 6 (5-6), 525-543, 2010 | 71 | 2010 |
| Structural damage detection using convolutional neural networks NS Gulgec, M Takáč, SN Pakzad Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2017 | 70 | 2017 |
| Generalized response surface model updating using time domain data SG Shahidi, SN Pakzad Journal of Structural Engineering 140 (8), A4014001, 2014 | 60 | 2014 |
| DynNet: Physics-based neural architecture design for nonlinear structural response modeling and prediction SS Eshkevari, M Takáč, SN Pakzad, M Jahani Engineering Structures 229, 111582, 2021 | 59 | 2021 |
| Scalable structural modal identification using dynamic sensor network data with STRIDEX TJ Matarazzo, SN Pakzad Computer‐Aided Civil and Infrastructure Engineering 33 (1), 4-20, 2018 | 57 | 2018 |
David CULLERUniversity of California, BerkeleyVerified email at berkeley.edu
