Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

How do active road users act around autonomous vehicles? An inverse reinforcement learning approach
Abdul Razak Alozi, Mohamed Hussein
Transportation Research Part C Emerging Technologies (2024) Vol. 161, pp. 104572-104572
Open Access | Times Cited: 10

Showing 10 citing articles:

How would autonomous vehicles behave in real-world crash scenarios?
Rui Zhou, Guoqing Zhang, Helai Huang, et al.
Accident Analysis & Prevention (2024) Vol. 202, pp. 107572-107572
Closed Access | Times Cited: 8
“It’s just another car driving” − Perceptions of U.S. residents interacting with driverless automated vehicles on public roads
Sina Nordhoff, Marjan Hagenzieker, Yee Mun Lee, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2025) Vol. 111, pp. 188-210
Open Access
A Survey on Recent Advancements in Autonomous Driving Using Deep Reinforcement Learning: Applications, Challenges, and Solutions
Rui Zhao, Yun Li, Yuze Fan, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 12, pp. 19365-19398
Closed Access | Times Cited: 4
Ar2g-Airl: A Context-Adaptive Game-Inverse Reinforcement Learning Algorithm for Modeling Pedestrian-Vehicle Interaction Considering Group Behaviors
Hao He, Enjian Yao, Rongsheng Chen, et al.
(2025)
Closed Access
Modelling the impact of risky cut-in and cut-out manoeuvers on traffic platooning safety with predictability and explainability
Qiangqiang Shangguan, Junhua Wang, Cailin Lei, et al.
Transportmetrica A Transport Science (2025), pp. 1-26
Closed Access
Advances and applications in inverse reinforcement learning: a comprehensive review
Saurabh Deshpande, Rahee Walambe, Ketan Kotecha, et al.
Neural Computing and Applications (2025)
Open Access
How do Automated Vehicles Influence Other Road Users and Sometimes Elicit Uncivil Behaviors?
Jean-Baptiste Haué, Gaëtan Merlhiot
(2024) Vol. 5, pp. 374-383
Closed Access | Times Cited: 1
Autonomous road hazard detection and avoidance system using deep reinforcement learning for intelligent vehicles
S Swathi, Saranya Vinayagam, J. S. Sujin, et al.
E-Learning and Digital Media (2024)
Closed Access
Social interactions between automated vehicles and human drivers: a narrative review
Peng Liu
Ergonomics (2024), pp. 1-20
Closed Access
A discrete choice latent class method for capturing unobserved heterogeneity in cyclist crossing behaviour at crosswalks
Rulla Al-Haideri, Adam Weiss, Karim Ismail
Accident Analysis & Prevention (2024) Vol. 211, pp. 107850-107850
Open Access
Preemptive-Level-Based Cooperative Autonomous Vehicle Trajectory Optimization for Unsignalized Intersection with Mixed Traffic
Pengrui Li, Miaomiao Liu, Mingyue Zhu, et al.
Electronics (2024) Vol. 14, Iss. 1, pp. 71-71
Open Access
Page 1

Scroll to top