Fengxiang Qiao 
- : High Fuel Consumption Driving Behavior Causal Analysis Based on LightGBM and SHAP. In: Iranian Journal of Science and Technology, Transactions of Civil Engineering.
- (1998): Neural Network Approach to Classification of Traffic Flow States. In: Journal of Transportation Engineering, v. 124, n. 6 (November 1998).
- (2021): Using Random Undersampling Boosting Classifier to Estimate Mode Shift Response to Bus Local Network Expansion and Bus Rapid Transit Services. In: International Journal of Civil Engineering, v. 19, n. 10 (Mai 2021).
- (2015): Socio-demographic impacts on lane-changing response time and distance in work zone with Drivers' Smart Advisory System. In: Journal of Traffic and Transportation Engineering (English Edition), v. 2, n. 5 (Oktober 2015).
- (2016): Implications of advanced warning messages on eliminating sun glare disturbances at signalized intersections. In: Journal of Traffic and Transportation Engineering (English Edition), v. 3, n. 4 (August 2016).
- (2017): Drivers' smart advisory system improves driving performance at STOP sign intersections. In: Journal of Traffic and Transportation Engineering (English Edition), v. 4, n. 3 (Juni 2017).
- (2020): Simulation and analysis of the carrying capacity for road networks using a grid-based approach. In: Journal of Traffic and Transportation Engineering (English Edition), v. 7, n. 4 (August 2020).
- (2020): Impact of Weaving Segment Configuration Designs on Drivers’ Acute Driving Stress: A Case Study on Houston Freeway Weaving Segments. In: International Journal of Civil Engineering, v. 18, n. 6 (Februar 2020).
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