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OpenAlex Citation Counts

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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:

Learning Interaction-Aware Guidance for Trajectory Optimization in Dense Traffic Scenarios
Bruno Brito, Achin Agarwal, Javier Alonso‐Mora
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 10, pp. 18808-18821
Open Access | Times Cited: 20

Showing 20 citing articles:

Social Interactions for Autonomous Driving: A Review and Perspectives
Wenshuo Wang, Letian Wang, Chengyuan Zhang, et al.
Foundations and Trends in Robotics (2022) Vol. 10, Iss. 3-4, pp. 198-376
Open Access | Times Cited: 86
Recent progress, challenges and future prospects of applied deep reinforcement learning : A practical perspective in path planning
Ye Zhang, Wang Zhao, Jingyu Wang, et al.
Neurocomputing (2024) Vol. 608, pp. 128423-128423
Closed Access | Times Cited: 14
Social Predictive Intelligent Driver Model for Autonomous Driving Simulation
Zejian Deng, Wenhao Hu, Tao Huang, et al.
Automotive Innovation (2025)
Closed Access | Times Cited: 1
Autonomous Driving System Testing: Traffic Density Does Matter
Guannan Lou, Donghwan Shin, Neil Walkinshaw, et al.
Lecture notes in computer science (2025), pp. 315-331
Closed Access
Vehicle Navigation Path Optimization Based on Complex Networks
Changxi Ma, Mingxi Zhao, Yang Liu
Physica A Statistical Mechanics and its Applications (2025), pp. 130509-130509
Closed Access
Predatory-imminence-continuum-inspired graph reinforcement learning for interactive motion planning in dense traffic
Xiaohui Hou, Minggang Gan, Wei Wu, et al.
Expert Systems with Applications (2025) Vol. 277, pp. 127205-127205
Closed Access
Cooperative Merging in Mixed Traffic Based on Strategic Influence of Connected Automated Vehicles on Human‐Driven Vehicle Behavior
Kyunghwan Choi, Seongjae Shin, Minseok Seo
Advanced Intelligent Systems (2025)
Open Access
Testing of Deep Reinforcement Learning Agents with Surrogate Models
Matteo Biagiola, Paolo Tonella
ACM Transactions on Software Engineering and Methodology (2023) Vol. 33, Iss. 3, pp. 1-33
Open Access | Times Cited: 10
Motion Planning for Autonomous Driving with Real Traffic Data Validation
Wenbo Chu, Kai Yang, Shen Li, et al.
Chinese Journal of Mechanical Engineering (2024) Vol. 37, Iss. 1
Open Access | Times Cited: 3
Interaction-aware Model Predictive Control for Autonomous Driving
Renzi Wang, Mathijs Schuurmans, Panagiotis Patrinos
2022 European Control Conference (ECC) (2023), pp. 1-6
Open Access | Times Cited: 9
Review on Functional Testing Scenario Library Generation for Connected and Automated Vehicles
Yu Zhu, Jian Wang, Fanqiang Meng, et al.
Sensors (2022) Vol. 22, Iss. 20, pp. 7735-7735
Open Access | Times Cited: 11
Knowledge Distillation-Based Edge-Decision Hierarchies for Interactive Behavior-Aware Planning in Autonomous Driving System
Zhiming Hong, Qing Lin, Bo Hu
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 11040-11057
Closed Access | Times Cited: 1
Interaction-Aware Trajectory Prediction and Planning in Dense Highway Traffic using Distributed Model Predictive Control
Erik Börve, Nikolce Murgovski, Leo Laine
(2023) Vol. 2, pp. 6124-6129
Open Access | Times Cited: 2
Exploring DQN-Based Reinforcement Learning in Autonomous Highway Navigation Performance Under High-Traffic Conditions
Sandy Nugroho, De Rosal Ignatius Moses Setiadi, Hussain Md Mehedul Islam
Journal of Computing Theories and Applications (2024) Vol. 1, Iss. 3, pp. 274-286
Open Access
Spatiotemporal Receding Horizon Control with Proactive Interaction Towards Autonomous Driving in Dense Traffic
Lei Zheng, Rui Yang, Zengqi Peng, et al.
IEEE Transactions on Intelligent Vehicles (2024), pp. 1-16
Open Access
Reinforcement learning algorithms
Wadhah Zeyad Tareq Tareq, Mehmet Fatih Amasyalı
Elsevier eBooks (2024), pp. 339-350
Closed Access
Advancing Autonomous Driving Safety Through LLM Enhanced Trajectory Prediction
Qian Cheng, Xinyu Jiao, Mengmeng Yang, et al.
Lecture notes in mechanical engineering (2024), pp. 496-502
Open Access
Spatiotemporal Receding Horizon Control with Proactive Interaction Towards Autonomous Driving in Dense Traffic
Lei Zheng, Rui Yang, Zengqi Peng, et al.
arXiv (Cornell University) (2023)
Open Access
Monovision End-to-End Dual-Lane Overtaking Network without Map Assistance
Dexin Li, Kai Li
Applied Sciences (2023) Vol. 14, Iss. 1, pp. 38-38
Open Access
An Efficient Game-Theoretic Planner for Automated Lane Merging with Multi-Modal Behavior Understanding
Luyao Zhang, Shaohang Han, Sergio Grammatico
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (2023), pp. 3085-3090
Closed Access
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