Zhongqing Su 
- (2023): Curing process monitoring of polymeric composites with Gramian angular field and transfer learning-boosted convolutional neural networks. In: Smart Materials and Structures, v. 32, n. 11 (19 October 2023).
- (2023): An ensemble approach for enhancing generalization and extendibility of deep learning facilitated by transfer learning: principle and application in curing monitoring. In: Smart Materials and Structures, v. 32, n. 11 (19 October 2023).
- (2023): A few-shot electromechanical impedance monitoring method based on a modified prototype network. In: Smart Materials and Structures, v. 32, n. 6 (21 April 2023).
- : Frequency-dependent Scattering of Wideband Laser-generated Rayleigh Waves for Vertical Surface Crack Characterization. In: Smart Materials and Structures.
- (2022): Advancing measurement of zero-group-velocity Lamb waves using PVDF-TrFE transducers: first data and application to in situ health monitoring of multilayer bonded structures. In: Structural Health Monitoring, v. 22, n. 4 (December 2022).
- (2006): Guided Lamb waves for identification of damage in composite structures: A review. In: Journal of Sound and Vibration, v. 295, n. 3-5 (August 2006).
- (2004): Fundamental Lamb Mode-based Delamination Detection for CF/EP Composite Laminates Using Distributed Piezoelectrics. In: Structural Health Monitoring, v. 3, n. 1 (March 2004).
- (2008): Damage Identification of Metallic Structures Using A0 Mode of Lamb Waves. In: Structural Health Monitoring, v. 7, n. 3 (July 2008).
- (2021): Detection and sizing of disbond in multilayer bonded structure using modally selective guided wave. In: Structural Health Monitoring, v. 20, n. 3 (January 2021).
- (2017): Fatigue crack detection in pipes with multiple mode nonlinear guided waves. In: Structural Health Monitoring, v. 18, n. 1 (December 2017).
- (2018): Continuous monitoring of tightening condition of single-lap bolted composite joints using intrinsic mode functions of acoustic emission signals: a proof-of-concept study. In: Structural Health Monitoring, v. 18, n. 4 (April 2018).
- (2020): Acousto-ultrasonics-based health monitoring for nano-engineered composites using a dispersive graphene-networked sensing system. In: Structural Health Monitoring, v. 20, n. 1 (March 2020).
- (2013): Exploring and calibrating local curvature effect of cortical bone for quantitative ultrasound (QUS). In: Structural Engineering and Mechanics, v. 48, n. 4 (November 2013).
- (2002): A damage identification technique for CF/EP composite laminates using distributed piezoelectric transducers. In: Composite Structures, v. 57, n. 1-4 (July 2002).
- (2005): Digital Damage Fingerprints (DDF) and its application in quantitative damage identification. In: Composite Structures, v. 67, n. 2 (February 2005).
- (2006): Hierarchical development of training database for artificial neural network-based damage identification. In: Composite Structures, v. 76, n. 3 (November 2006).
- (2019): Effects of surface contact on the dynamic responses of delaminated composite plates. In: Composite Structures, v. 229 (December 2019).
- (2019): Effects of contact between rough surfaces on the dynamic responses of bolted composite joints: Multiscale modeling and numerical simulation. In: Composite Structures, v. 211 (March 2019).
- (2017): Health monitoring of rail structures using guided waves and three-dimensional diagnostic imaging. In: Structural Control and Health Monitoring, v. 24, n. 9 (September 2017).
- (2012): Correlative sensor array and its applications to identification of damage in plate-like structures. In: Structural Control and Health Monitoring, v. 19, n. 8 (December 2012).
- (2003): Active control of a flexible smart beam using a system identification technique based on ARMAX. In: Smart Materials and Structures, v. 12, n. 5 (October 2003).
- (2011): Evaluation of welding damage in welded tubular steel structures using guided waves and a probability-based imaging approach. In: Smart Materials and Structures, v. 20, n. 1 (January 2011).
- (2007): A hierarchical data fusion scheme for identifying multi-damage in composite structures with a built-in sensor network. In: Smart Materials and Structures, v. 16, n. 6 (December 2007).
- (2016): A coatable, light-weight, fast-response nanocomposite sensor for thein situacquisition of dynamic elastic disturbance: from structural vibration to ultrasonic waves. In: Smart Materials and Structures, v. 25, n. 6 (June 2016).
- (2013): Evaluation of fatigue cracks using nonlinearities of acousto-ultrasonic waves acquired by an active sensor network. In: Smart Materials and Structures, v. 22, n. 1 (January 2013).
- (2006): Abuilt-inactive sensor network for health monitoring of composite structures. In: Smart Materials and Structures, v. 15, n. 6 (December 2006).
- (2006): A correlation filtering-based matching pursuit (CF-MP) for damage identification using Lamb waves. In: Smart Materials and Structures, v. 15, n. 6 (December 2006).
- (2005): A fast damage locating approach using digital damage fingerprints extracted from Lamb wave signals. In: Smart Materials and Structures, v. 14, n. 5 (October 2005).
- (2006): Crack identification in aluminium plates using Lamb wave signals of a PZT sensor network. In: Smart Materials and Structures, v. 15, n. 3 (June 2006).
- (2005): Efficiency of genetic algorithms and artificial neural networks for evaluating delamination in composite structures using fibre Bragg grating sensors. In: Smart Materials and Structures, v. 14, n. 6 (December 2005).
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