| In situ assessment of structural timber using stress-wave measurements U Dackermann, K Crews, B Kasal, J Li, M Riggio, F Rinn, T Tannert Materials and structures 47, 787-803, 2014 | 146 | 2014 |
| Damage identification in civil engineering structures utilizing PCA‐compressed residual frequency response functions and neural network ensembles J Li, U Dackermann, YL Xu, B Samali Structural Control and Health Monitoring 18 (2), 207-226, 2011 | 144 | 2011 |
| A systematic review of advanced sensor technologies for non-destructive testing and structural health monitoring S Hassani, U Dackermann Sensors 23 (4), 2204, 2023 | 119 | 2023 |
| Damage identification based on response-only measurements using cepstrum analysis and artificial neural networks U Dackermann, WA Smith, RB Randall Structural health monitoring 13 (4), 430-444, 2014 | 96 | 2014 |
| Dynamic-Based Damage Identification Using Neural Network Ensembles and Damage Index Method U Dackermann, J Li, B Samali Advances in Structural Engineering 13 (6), 1001-1016, 2010 | 75 | 2010 |
| A comparative study of using static and ultrasonic material testing methods to determine the anisotropic material properties of wood U Dackermann, R Elsener, J Li, K Crews Construction and Building Materials 102, 963-976, 2016 | 66 | 2016 |
| Identification of member connectivity and mass changes on a two-storey framed structure using frequency response functions and artificial neural networks U Dackermann, J Li, B Samali Journal of Sound and Vibration 332 (16), 3636-3653, 2013 | 64 | 2013 |
| Elastic wave modes for the assessment of structural timber: ultrasonic echo for building elements and guided waves for pole and pile structures M Krause, U Dackermann, J Li Journal of Civil Structural Health Monitoring 5, 221-249, 2015 | 57 | 2015 |
| Wavelet packet energy–based damage identification of wood utility poles using support vector machine multi-classifier and evidence theory Y Yu, U Dackermann, J Li, E Niederleithinger Structural Health Monitoring 18 (1), 123-142, 2019 | 53 | 2019 |
| Vibration behaviour of steel-timber composite floors, part (1): Experimental & numerical investigation AA Chiniforush, MM Alamdari, U Dackermann, HR Valipour, ... Journal of Constructional Steel Research 161, 244-257, 2019 | 52 | 2019 |
| A systematic review of optimization algorithms for structural health monitoring and optimal sensor placement S Hassani, U Dackermann Sensors 23 (6), 3293, 2023 | 47 | 2023 |
| Guided wave–based condition assessment of in situ timber utility poles using machine learning algorithms U Dackermann, B Skinner, J Li Structural Health Monitoring 13 (4), 374-388, 2014 | 47 | 2014 |
| Location and severity identification of notch-type damage in a two-storey steel framed structure utilising frequency response functions and artificial neural network B Samali, U Dackermann, J Li Advances in Structural Engineering 15 (5), 743-757, 2012 | 45 | 2012 |
| Vibration-based damage identification in civil engineering structures utilising artificial neural networks U Dackermann, J Li, B Samali, FC Choi, K Crews Proceedings of the 12th International Conference on Structural Faults + …, 2008 | 38* | 2008 |
| Vibration-based damage identification methods for civil engineering structures using artificial neural networks U Dackermann University of Technology Sydney, 2010 | 36 | 2010 |
| A systematic review of data fusion techniques for optimized structural health monitoring S Hassani, U Dackermann, M Mousavi, J Li Information Fusion, 102136, 2023 | 32 | 2023 |
| Condition assessment of foundation piles and utility poles based on guided wave propagation using a network of tactile transducers and support vector machines U Dackermann, Y Yu, E Niederleithinger, J Li, H Wiggenhauser Sensors 17 (12), 2938, 2017 | 29 | 2017 |
| Determinations of Stress Wave Velocity in a Timber Pole using Wavelet Transform MM Subhani, J Li, B Samali, U Dackermann Proceeding of the 14th Asia Pacific Conference, 222-231, 2011 | 26* | 2011 |
| Cepstrum-based damage identification in structures with progressive damage U Dackermann, WA Smith, MM Alamdari, J Li, RB Randall Structural Health Monitoring 18 (1), 87-102, 2019 | 25 | 2019 |
| Damage identification of a concrete arch beam based on frequency response functions and artificial neural networks VV Nguyen, U Dackermann, J Li, MM Alamdari, S Mustapha, P Runcie, ... Electronic Journal of Structural Engineering 14 (1), 75-84, 2015 | 25 | 2015 |
Jianchun LiProfessorVerified email at uts.edu.au
