Chengbo Ai 
- (2025): LiDAR-Simulated Multimodal and Self-Supervised Contrastive Digital Twin Approach for Probabilistic Point Cloud Generation of Rail Fasteners. In: Journal of Computing in Civil Engineering, v. 39, n. 2 (März 2025).
- (2024): Multimodal Fusion Network for Crack Segmentation with Modified U-Net and Transfer Learning–Based MobileNetV2. In: Journal of Infrastructure Systems, v. 30, n. 4 (Dezember 2024).
- (2025): Advanced Deep Learning–Based Hybrid Rail Extraction Algorithm Leveraging LiDAR Technology. In: Journal of Infrastructure Systems, v. 31, n. 1 (März 2025).
- (2025): Automation railway fastener tightness detection based on instance segmentation and monocular depth estimation. In: Engineering Structures, v. 322 (Januar 2025).
- (2024): Failure mode and load prediction of steel bridge girders through 3D laser scanning and machine learning methods. In: ce/papers, v. 7, n. 3-4 (September 2024).
- (2024): An Automated Pavement Marking Retroreflectivity Condition Assessment Method Using Mobile LiDAR and Video Log Images. In: Journal of Infrastructure Systems, v. 30, n. 2 (Juni 2024).
- (2024): Terrestrial laser scanning-assisted roughness assessment for initial support of railway tunnel. In: Journal of Civil Structural Health Monitoring, v. 14, n. 3 (Januar 2024).
- (2024): Hybrid Pixel-Level Crack Segmentation for Ballastless Track Slab Using Digital Twin Model and Weakly Supervised Style Transfer. In: Structural Control and Health Monitoring, v. 2024 (Januar 2024).
- (2024): Point cloud generation for critical transportation infrastructure through Bézier curve. In: Automation in Construction, v. 157 (Januar 2024).
- (2023): Developing a Geospatial Safety Analysis Tool: A Systematic Approach to Identify Safety-Critical Horizontal Curve Segments and Hazardous Contributing Factors. In: Journal of Transportation Engineering, Part A: Systems, v. 149, n. 7 (Juli 2023).
- (2023): Position‐track‐time three‐dimensional network model‐based improvement for high‐speed rail scheduling and operation. In: Computer-Aided Civil and Infrastructure Engineering, v. 38, n. 6 (12 März 2023).
- (2022): Network-Level Guardrail Extraction Based on 3D Local Features from Mobile LiDAR Sensor. In: Journal of Computing in Civil Engineering, v. 36, n. 6 (November 2022).
- (2022): An Automated Sound Barrier Inventory Method Using Mobile LiDAR. In: Journal of Transportation Engineering, Part A: Systems, v. 148, n. 10 (Oktober 2022).
- (2022): Using 3D laser scanning for estimating the capacity of corroded steel bridge girders: Experiments, computations and analytical solutions. In: Engineering Structures, v. 265 (August 2022).
- (2012): Critical Assessment of Measuring Concrete Joint Faulting Using 3D Continuous Pavement Profile Data. In: Journal of Transportation Engineering, v. 138, n. 11 (November 2012).
- (2015): Critical Assessment of an Enhanced Traffic Sign Detection Method Using Mobile LiDAR and INS Technologies. In: Journal of Transportation Engineering, v. 141, n. 5 (Mai 2015).
- (2015): Automatic Horizontal Curve Identification and Measurement Method Using GPS Data. In: Journal of Transportation Engineering, v. 141, n. 2 (Februar 2015).
- (2021): Machine vision-based surface crack analysis for transportation infrastructure. In: Automation in Construction, v. 132 (Dezember 2021).
- (2021): Review of Emerging Technologies and Issues in Rail and Track Inspection for Local Lines in the United States. In: Journal of Transportation Engineering, Part A: Systems, v. 147, n. 10 (Oktober 2021).
- (2018): A Nonballasted Rail Track Slab Crack Identification Method Using a Level-Set-Based Active Contour Model. In: Computer-Aided Civil and Infrastructure Engineering, v. 33, n. 7 (Juni 2018).
- (2012): Hybrid Active Contour–Incorporated Sign Detection Algorithm. In: Journal of Computing in Civil Engineering, v. 26, n. 1 (Januar 2012).
- (2015): Geometry Preserving Active Polygon-Incorporated Sign Detection Algorithm. In: Journal of Computing in Civil Engineering, v. 29, n. 6 (November 2015).
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