G. Li, Y. Yang, X. Qu*, “Deep Learning Approaches on Pedestrian Detection in Hazy Weather”, IEEE Transactions on Industrial Electronics, 2019. DOI: 10.1109/TIE.2019.2945295
 S. Li1, G. Li1, Y. Cheng, B. Ran, “Urban Arterial Traffic Status Detection Using Cellular Data without Cellphone GPS Information”, Transportation Research Part C: Emerging Technologies, accepted, 2020.
 G. Li, Y. Wang, F. Zhu, X. Sui, N. Wang, X. Qu*, P. Green, “Drivers’ Visual Scanning Behavior at Signalized and Unsignalized Intersections: A Naturalistic Driving Study in China”, Journal of Safety Research, vol. 71, pp. 219-229, 2019.
 G. Li, S.E. Li*, R. Zou, Y. Liao, B. Cheng, “Detection of road traffic participants using cost-effective arrayed ultrasonic sensors in low-speed traffic situations,” Mechanical Systems and Signal Processing, vol. 132, pp. 535–545, 2019.
 G. Li, F. Zhu, X. Qu*, B. Cheng, S. Li, P. Green, “Driving Style Classification Based on Driving Operational Pictures,” IEEE Access, vol. 7, pp. 90180–90189, 2019.
 S.E. Li1, G. Li1,*, J. Yu, C. Liu, B. Cheng, J. Wang, K. Li., “Kalman filter-based tracking of moving objects using linear ultrasonic sensor array for road vehicles,” Mechanical Systems and Signal Processing, vol. 98, pp. 173–189, 2018.
 J. Shen1, G. Li1,*, W. Yan, G. Xu, D. Diao, P. Green, “Nighttime driving safety improvement via image enhancement for driver face detection,” IEEE Access, vol. 6, pp. 45625-45634, 2018.
 G. Li, S.E. Li*, B. Cheng, and P. Green, “Estimation of driving style in naturalistic highway traffic using maneuver transition probabilities,” Transportation Research Part C: Emerging Technologies, vol. 74, pp. 113–125, 2017.
 G. Li, S. Eben Li*, and B. Cheng, “Field operational test of advanced driver assistance systems in typical Chinese road conditions: The influence of driver gender, age and aggression,” International Journal of Automotive Technology, vol. 16, no. 5, pp. 739–750, 2015.
 G. Li, W. Wang, S. Li, B. Cheng*, P. Green, “Effectiveness of flashing brake and hazard systems in avoiding rear-end crashes,” Advances in Mechanical Engineering, vol. 2014, pp. 1–12, 2014. (NSK机械工学优秀论文)
 C. Zhang, W. Wang*, A.E. Dennis, S. Guan, G. Li*, H. Xiang, H. Zhao, B. Cheng, “Effect of low-frequency vibration on muscle response under different neuro-intact conditions”, Applied Bionics and Biomechanics, vol. 2019, pp. 1–10, 2019.
 Y. Liao1, G. Li1, S.E. Li*, B. Cheng, and P. Green, “Understanding driver response patterns to mental workload increase in typical driving scenarios,” IEEE Access, vol. 6, pp. 35890–35900, 2018.
 J. Duan, R. Li, L. Hou, W. Wang*, G. Li*, S.E. Li, B. Cheng, H. Gao, “Driver braking behavior analysis to improve autonomous emergency braking systems in typical Chinese vehicle-bicycle conflicts,” Accident Analysis & Prevention, vol. 108, pp. 74–82, 2017.
 M. Hu, Y. Liao, W. Wang*, G. Li*, et al., “Decision tree-based maneuver prediction for driver rear-end risk avoidance behaviors in cut-in scenarios,” Journal of Advanced Transportation, vol. 2017, pp. 1-12, 2017.
 李国法，陈耀昱，吕辰，陶达，曹东璞，成波. “智能汽车决策中的驾驶行为语义解析关键技术、算法及应用”, 汽车安全与节能学报，已接收, 2019.
 李国法，赖伟鉴，廖源，王文军*，成波. “邻车切入工况下前撞预警系统的驾驶人依赖特性研究”, 汽车安全与节能学报, 已接收, 2019.
 G. Li, Y. Wang, “Surface transportation”, in S.N. Samman (ed.), Human Factors and Ergonomics for the Gulf Cooperation Council: Processes, Technologies, and Practices, CRC Press, pp.191-207, 2018. (英文书籍章节)
 G. Li, F. Zhu, T. Zhang, Y. Wang, S. He, X. Qu. “Evaluation of three in-vehicle interactions from drivers’ driving performance and eye movement behavior”. In Proceedings of the 21th IEEE International Conference on Intelligent Transportation Systems (ITSC), pp. 2086-2091, Hawaii, USA, 2018.
 G. Li, S.E. Li, L. Jia, W. Wang, B. Cheng, F. Chen. “Driving maneuvers analysis using naturalistic highway driving data”. In Proceedings of the 18th IEEE International Conference on Intelligent Transportation Systems (ITSC), pp. 1761-1766, Las Palmas, Spain, 2015.
 G. Li, S.E. Li, Y. Liao, W. Wang, B. Cheng, F. Chen. “Lane change maneuver recognition via vehicle state and driver operation signals—Results from naturalistic driving data”. In Proceedings of the 2015 IEEE Intelligent Vehicles Symposium (IV), pp. 865-870, Seoul, Korea, 2015.