Jingjing Guo 
- (2024): Feature selection for chillers fault diagnosis from the perspectives of machine learning and field application. Dans: Energy and Buildings, v. 307 (mars 2024).
- (2024): Surface defect detection of civil structures using images: Review from data perspective. Dans: Automation in Construction, v. 158 (février 2024).
- (2024): A transformer and self-cascade operation-based architecture for segmenting high-resolution bridge cracks. Dans: Automation in Construction, v. 158 (février 2024).
- (2023): Informativeness‐guided active learning for deep learning–based façade defects detection. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 38, n. 17 (novembre 2023).
- (2023): Implicit function‐based continuous representation for meticulous segmentation of cracks from high‐resolution images. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 39, n. 4 (novembre 2023).
- (2023): A crack-segmentation algorithm fusing transformers and convolutional neural networks for complex detection scenarios. Dans: Automation in Construction, v. 152 (août 2023).
- (2022): Few-shot classification of façade defects based on extensible classifier and contrastive learning. Dans: Automation in Construction, v. 141 (septembre 2022).
- (2022): An adaptive down-sampling method of laser scan data for scan-to-BIM. Dans: Automation in Construction, v. 135 (mars 2022).
- (2022): Multi‐defect segmentation from façade images using balanced copy–paste method. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 37, n. 11 (août 2022).
- (2022): Benefits of Terrestrial Laser Scanning for Construction QA/QC: A Time and Cost Analysis. Dans: Journal of Management in Engineering (ASCE), v. 38, n. 2 (mars 2022).
- (2022): Human-Related Uncertainty Analysis for Automation-Enabled Façade Visual Inspection: A Delphi Study. Dans: Journal of Management in Engineering (ASCE), v. 38, n. 2 (mars 2022).
- (2021): Effects of dataset characteristics on the performance of fatigue detection for crane operators using hybrid deep neural networks. Dans: Automation in Construction, v. 132 (décembre 2021).
- (2021): Evaluation-oriented façade defects detection using rule-based deep learning method. Dans: Automation in Construction, v. 131 (novembre 2021).
- (2021): Semi‐supervised learning based on convolutional neural network and uncertainty filter for façade defects classification. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 36, n. 3 (novembre 2021).
- (2019): Compression after impact behavior of composite foam-core sandwich panels. Dans: Composite Structures, v. 225 (octobre 2019).
- (2020): Façade defects classification from imbalanced dataset using meta learning‐based convolutional neural network. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 35, n. 12 (12 novembre 2020).
- (2020): Geometric quality inspection of prefabricated MEP modules with 3D laser scanning. Dans: Automation in Construction, v. 111 (mars 2020).
- (2020): Automatic classification of common building materials from 3D terrestrial laser scan data. Dans: Automation in Construction, v. 110 (février 2020).
- (2020): Time and cost analysis of geometric quality assessment of structural columns based on 3D terrestrial laser scanning. Dans: Automation in Construction, v. 110 (février 2020).
- (2019): Theoretical Research and Simulation Analysis on the Cutter Spacing of Double Disc Cutters Breaking Rock. Dans: KSCE Journal of Civil Engineering, v. 23, n. 7 (mai 2019).
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