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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:

Multi-Agent DRL-Based Lane Change With Right-of-Way Collaboration Awareness
Jiawei Zhang, Cheng Chang, Xianlin Zeng, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 24, Iss. 1, pp. 854-869
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Lane Change Strategies for Autonomous Vehicles: A Deep Reinforcement Learning Approach Based on Transformer
Guofa Li, Yifan Qiu, Yifan Yang, et al.
IEEE Transactions on Intelligent Vehicles (2022) Vol. 8, Iss. 3, pp. 2197-2211
Closed Access | Times Cited: 60
Robust Multiagent Reinforcement Learning toward Coordinated Decision-Making of Automated Vehicles
Xiangkun He, Hao Chen, Chen Lv
SAE International journal of vehicle dynamics, stability, and NVH (2023) Vol. 7, Iss. 4
Open Access | Times Cited: 27
Toward personalized decision making for autonomous vehicles: A constrained multi-objective reinforcement learning technique
Xiangkun He, Chen Lv
Transportation Research Part C Emerging Technologies (2023) Vol. 156, pp. 104352-104352
Closed Access | Times Cited: 26
Overtaking Feasibility Prediction for Mixed Connected and Connectionless Vehicles
Liang Zhao, Hui Qian, Ammar Hawbani, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 10, pp. 15065-15080
Open Access | Times Cited: 10
Robust lane change decision for autonomous vehicles in mixed traffic: A safety-aware multi-agent adversarial reinforcement learning approach
Tao Wang, Minghui Ma, Shidong Liang, et al.
Transportation Research Part C Emerging Technologies (2025) Vol. 172, pp. 105005-105005
Closed Access | Times Cited: 1
CAVSim: A Microscopic Traffic Simulator for Evaluation of Connected and Automated Vehicles
Jiawei Zhang, Cheng Chang, Zimin He, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 9, pp. 10038-10054
Closed Access | Times Cited: 18
Trustworthy autonomous driving via defense-aware robust reinforcement learning against worst-case observational perturbations
Xiangkun He, Wenhui Huang, Chen Lv
Transportation Research Part C Emerging Technologies (2024) Vol. 163, pp. 104632-104632
Closed Access | Times Cited: 7
Modeling coupled driving behavior during lane change: A multi-agent Transformer reinforcement learning approach
Hongyu Guo, Mehdi Keyvan‐Ekbatani, Kun Xie
Transportation Research Part C Emerging Technologies (2024) Vol. 165, pp. 104703-104703
Open Access | Times Cited: 6
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: 6
Dynamic Testing for Autonomous Vehicles Using Random Quasi Monte Carlo
Jingwei Ge, Jiawei Zhang, Cheng Chang, et al.
IEEE Transactions on Intelligent Vehicles (2024) Vol. 9, Iss. 3, pp. 4480-4492
Closed Access | Times Cited: 5
LLM-Based Operating Systems for Automated Vehicles: A New Perspective
Jingwei Ge, Cheng Chang, Jiawei Zhang, et al.
IEEE Transactions on Intelligent Vehicles (2024) Vol. 9, Iss. 4, pp. 4563-4567
Closed Access | Times Cited: 4
Knowledge Distillation-Enhanced Behavior Transformer for Decision-Making of Autonomous Driving
Rui Zhao, Yuze Fan, Yun Li, et al.
Sensors (2025) Vol. 25, Iss. 1, pp. 191-191
Open Access
Integrating spatial-temporal risk maps with candidate trajectory trees for explainable autonomous driving planning
Qiyuan Liu, Jiawei Zhang, Jingwei Ge, et al.
Communications in Transportation Research (2025) Vol. 5, pp. 100161-100161
Closed Access
Deep reinforcement learning for decision making of autonomous vehicle in non-lane-based traffic environments
Yi Fei, Lu Xing, Lan Yao, et al.
PLoS ONE (2025) Vol. 20, Iss. 4, pp. e0320578-e0320578
Open Access
Simulation-data Driven Generalized Zero-Shot Learning for Multi-agent Bearing Compound Fault Diagnosis
Yi Qin, Xiwen Liu, Xin Li, et al.
Knowledge-Based Systems (2025), pp. 113595-113595
Closed Access
A Bi-Level Network-Wide Cooperative Driving Approach Including Deep Reinforcement Learning-Based Routing
Jiawei Zhang, Jingwei Ge, Shu Li, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 9, Iss. 1, pp. 1243-1259
Closed Access | Times Cited: 9
V2X and Deep Reinforcement Learning-Aided Mobility-Aware Lane Changing for Emergency Vehicle Preemption in Connected Autonomous Transport Systems
Cao Ding, Ivan Wang‐Hei Ho, Edward Chung, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 7, pp. 7281-7293
Closed Access | Times Cited: 3
VistaScenario: Interaction Scenario Engineering for Vehicles with Intelligent Systems for Transport Automation
Cheng Chang, Jiawei Zhang, Jingwei Ge, et al.
IEEE Transactions on Intelligent Vehicles (2024), pp. 1-17
Closed Access | Times Cited: 3
Unleashing the Power of Connected and Automated Vehicles: A Dedicated Link Strategy for Efficient Management of Mixed Traffic
Jiawei Zhang, Qiyuan Liu, Shen Li, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 12315-12332
Closed Access | Times Cited: 2
Deep Q‐network based multi‐layer safety lane changing strategy for vehicle platoon
Jinqi Zhang, Maode Yan, Lei Zuo
IET Intelligent Transport Systems (2023) Vol. 18, Iss. 4, pp. 645-656
Open Access | Times Cited: 6
Fundamental Diagram of Mixed Traffic Flow Considering Dedicated and Shared Lanes Management Policies for CAVs
Zhihong Yao, Tingting Ren, Yi Wang, et al.
IEEE Transactions on Transportation Electrification (2023) Vol. 10, Iss. 3, pp. 6964-6978
Closed Access | Times Cited: 4
Expressway lane change strategy of autonomous driving based on prior knowledge and data-driven
Zhangu Wang, Changming Guan, Ziliang Zhao, et al.
Physica A Statistical Mechanics and its Applications (2024) Vol. 640, pp. 129672-129672
Closed Access | Times Cited: 1
Fuzzy Logic-Based Autonomous Lane Changing Strategy for Intelligent Internet of Vehicles: A Trajectory Planning Approach
Chao He, Wenhui Jiang, Junting Li, et al.
World Electric Vehicle Journal (2024) Vol. 15, Iss. 9, pp. 403-403
Open Access | Times Cited: 1
Theoretical Analysis of Cooperative Driving at Idealized Unsignalized Intersections
Shen Li, Jiawei Zhang, Zhenwu Chen, et al.
Tsinghua Science & Technology (2023) Vol. 29, Iss. 1, pp. 257-270
Open Access | Times Cited: 2
Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous Vehicles
Ruoqi Wen, Jiahao Huang, Zhifeng Zhao
2022 IEEE Globecom Workshops (GC Wkshps) (2023), pp. 2025-2030
Open Access | Times Cited: 2
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