Jidong J. Yang 
- (2022): Deep-Learning-Based Temporal Prediction for Mitigating Dynamic Inconsistency in Vehicular Live Loads on Roads and Bridges. Dans: Infrastructures, v. 7, n. 11 (novembre 2022).
- (2021): Use of Machine Learning Algorithms to Predict Subgrade Resilient Modulus. Dans: Infrastructures, v. 6, n. 6 (juin 2021).
- (2021): Use of Random Forest Model to Identify the Relationships Among Vegetative Species, Salt Marsh Soil Properties, and Interstitial Water along the Atlantic Coast of Georgia. Dans: Infrastructures, v. 6, n. 5 (mai 2021).
- (2020): Understanding Multi-Vehicle Collision Patterns on Freeways—A Machine Learning Approach. Dans: Infrastructures, v. 5, n. 8 (août 2020).
- (2022): Self-Supervised Deep Learning Framework for Anomaly Detection in Traffic Data. Dans: Journal of Transportation Engineering, Part A: Systems, v. 148, n. 5 (mai 2022).
- (2022): Cognitive Approaches to Hyperbolic Discounting of High-Impact Low-Probability Bridge Overload Events and Live-Load Factors. Dans: Journal of Performance of Constructed Facilities (ASCE), v. 36, n. 2 (avril 2022).
- (2021): Tree-Based Ensemble Methods: Predicting Asphalt Mixture Dynamic Modulus for Flexible Pavement Design. Dans: KSCE Journal of Civil Engineering, v. 25, n. 11 (août 2021).
- (2017): Performance of Smart Sensor Detectors for Stop-Bar Detection at Signalized Intersections. Dans: Journal of Transportation Engineering, Part A: Systems, v. 143, n. 6 (juin 2017).
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