Chenglong Liu 
- (2015): Rapid Accelerometer Measurements of Vehicle Bumps at Bridge Approaches. Dans: Transportation Research Record: Journal of the Transportation Research Board, v. 2528, n. 1 (janvier 2015).
- (2024): Advances in automatic identification of road subsurface distress using ground penetrating radar: State of the art and future trends. Dans: Automation in Construction, v. 158 (février 2024).
- (2023): Modeling automatic pavement crack object detection and pixel-level segmentation. Dans: Automation in Construction, v. 150 (juin 2023).
- : Enabling edge computing ability in view-independent vehicle model recognition. Dans: International Journal of Transportation Science and Technology.
- (2023): Effective pavement skid resistance measurement using multi‐scale textures and deep fusion network. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 38, n. 8 (26 avril 2023).
- (2023): Spatiotemporal matching method for tracking pavement distress using high‐frequency detection data. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 38, n. 16 (3 octobre 2023).
- (2022): Deep learning-based pavement subsurface distress detection via ground penetrating radar data. Dans: Automation in Construction, v. 142 (octobre 2022).
- (2022): Pavement texture depth estimation using image-based multiscale features. Dans: Automation in Construction, v. 141 (septembre 2022).
- (2022): Study on Wear Prediction of Shield Disc Cutter in Hard Rock and Its Application. Dans: KSCE Journal of Civil Engineering, v. 26, n. 3 (14 janvier 2022).
- (2022): Rapid pavement aggregate gradation estimation based on 3D data using a multi-feature fusion network. Dans: Automation in Construction, v. 134 (février 2022).
- (2021): Promoting the pavement skid resistance estimation by extracting tire-contacted texture based on 3D surface data. Dans: Construction and Building Materials, v. 307 (novembre 2021).
- (2021): Cross‐scene pavement distress detection by a novel transfer learning framework. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 36, n. 11 (septembre 2021).
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