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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:

Deep Adaptive Control: Deep Reinforcement Learning-Based Adaptive Vehicle Trajectory Control Algorithms for Different Risk Levels
Yixu He, Yang Liu, Lan Yang, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 9, Iss. 1, pp. 1654-1666
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Policy Challenges for Coordinated Delivery of Trucks and Drones
Shuang Wang, Changhong Zheng, Sebastian Wandelt
Journal of the Air Transport Research Society (2024) Vol. 2, pp. 100001-100001
Open Access | Times Cited: 14
Deep knowledge distillation: A self-mutual learning framework for traffic prediction
Ying Li, Ping Li, Doudou Yan, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124138-124138
Open Access | Times Cited: 9
Multi-agent Deep Reinforcement Learning collaborative Traffic Signal Control method considering intersection heterogeneity
Yiming Bie, Yuting Ji, Dongfang Ma
Transportation Research Part C Emerging Technologies (2024) Vol. 164, pp. 104663-104663
Closed Access | Times Cited: 7
Improving Freeway Merging Efficiency via Flow-Level Coordination of Connected and Autonomous Vehicles
Jie Zhu, Liang Wang, Ivana Tasic, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 7, pp. 6703-6715
Open Access | Times Cited: 6
Enhancing State Representation in Multi-Agent Reinforcement Learning for Platoon-Following Models
Hongyi Lin, Cheng Lyu, Yixu He, et al.
IEEE Transactions on Vehicular Technology (2024) Vol. 73, Iss. 8, pp. 12110-12114
Closed Access | Times Cited: 5
Integrating big data analytics in autonomous driving: An unsupervised hierarchical reinforcement learning approach
Zhiqi Mao, Liu Yang, Xiaobo Qu
Transportation Research Part C Emerging Technologies (2024) Vol. 162, pp. 104606-104606
Closed Access | Times Cited: 5
Charting the Future: Intelligent and Connected Vehicles Reshaping the Bus System
Kunjun Wang, Ye Xiao, Yixu He
Journal of Intelligent and Connected Vehicles (2023) Vol. 6, Iss. 3, pp. 113-115
Open Access | Times Cited: 13
Exploring the design of reward functions in deep reinforcement learning-based vehicle velocity control algorithms
Yixu He, Yang Liu, Lan Yang, et al.
Transportation Letters (2024), pp. 1-15
Closed Access | Times Cited: 4
Deep neural network enhanced modeling and adaptive control of a malfunctional spacecraft under unknown accessory breakage
K. Zalewski, Aliaksei Zakrevsky, Mikko J. Virtanen, et al.
Deleted Journal (2025) Vol. 3, Iss. 1, pp. 2469-2469
Closed Access
Analyzing the short- and long-term car-following behavior in multiple factor coupled scenarios
Fang Zong, Siqi Wang, Ying Qin, et al.
Expert Systems with Applications (2025), pp. 126724-126724
Closed Access
Event triggered cooperative trajectory coordination for platooning among heterogeneous vehicles
Fei Yang, Liang Wang, Xiaobo Qu
Transportation Research Part C Emerging Technologies (2025) Vol. 173, pp. 105049-105049
Closed Access
Deep reinforcement learning based low energy consumption scheduling approach design for urban electric logistics vehicle networks
Pengfei Sun, Jingbo He, Jianxiong Wan, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A data-driven optimization-based approach for freeway traffic state estimation based on heterogeneous sensor data fusion
Jinyu Zhang, Di Huang, Zhiyuan Liu, et al.
Transportation Research Part E Logistics and Transportation Review (2024) Vol. 189, pp. 103656-103656
Closed Access | Times Cited: 3
Insights into Travel Pattern Analysis and Demand Prediction: A Data-Driven Approach in Bike-Sharing Systems
Hongyi Lin, Yixu He, Shen Li, et al.
Journal of Transportation Engineering Part A Systems (2023) Vol. 150, Iss. 2
Closed Access | Times Cited: 7
Optimized Longitudinal and Lateral Control Strategy of Intelligent Vehicles Based on Adaptive Sliding Mode Control
Yun Wang, Zhanpeng Wang, Dapai Shi, et al.
World Electric Vehicle Journal (2024) Vol. 15, Iss. 9, pp. 387-387
Open Access | Times Cited: 2
Empowering Fuel Cell Electric Vehicles Towards Sustainable Transportation: An Analytical Assessment, Emerging Energy Management, Key Issues, and Future Research Opportunities
Tuhibur Rahman, Md. Sazal Miah, Tahia F. Karim, et al.
World Electric Vehicle Journal (2024) Vol. 15, Iss. 11, pp. 484-484
Open Access | Times Cited: 2
A Deep Learning Method for Traffic Light Status Recognition
Lan Yang, Zeyu He, Xiangmo Zhao, et al.
Journal of Intelligent and Connected Vehicles (2023) Vol. 6, Iss. 3, pp. 173-182
Open Access | Times Cited: 6
SceGAN: A Method for Generating Autonomous Vehicle Cut-In Scenarios on Highways Based on Deep Learning
Lan Yang, Jiaqi Yuan, Xiangmo Zhao, et al.
Journal of Intelligent and Connected Vehicles (2023) Vol. 6, Iss. 4, pp. 264-274
Open Access | Times Cited: 6
The role of intelligent technology in the development of urban air mobility systems: A technical perspective
Yang Liu, Cheng Lyu, Fan Bai, et al.
Fundamental Research (2023) Vol. 4, Iss. 5, pp. 1017-1024
Open Access | Times Cited: 5
Multi-Level Objective Control of AVs at a Saturated Signalized Intersection with Multi-Agent Deep Reinforcement Learning Approach
Wenfeng Lin, Xiaowei Hu, Jian Wang
Journal of Intelligent and Connected Vehicles (2023) Vol. 6, Iss. 4, pp. 250-263
Open Access | Times Cited: 4
Autonomous Vehicle Traffic Accident Prevention using Mobile-Integrated Deep Reinforcement Learning Technique
J. Praveenchandar
Deleted Journal (2024) Vol. 20, Iss. 3s, pp. 103-113
Open Access | Times Cited: 1
Optimized Speed Control for Electric Vehicles on Dynamic Wireless Charging Lanes: An Eco-Driving Approach
Lingshu Zhong, Ho Sheau En, Mingyang Pei, et al.
Journal of Intelligent and Connected Vehicles (2024) Vol. 7, Iss. 1, pp. 52-63
Open Access | Times Cited: 1
An overview of solutions to the bus bunching problem in urban bus systems
Ying Yang, Junchi Cheng, Yang Liu
Frontiers of Engineering Management (2024)
Open Access | Times Cited: 1
Exploring the Potential of Generative Adversarial Networks in Enhancing Urban Renewal Efficiency
Yunfei Lin, Mingzhu Song
Sustainability (2024) Vol. 16, Iss. 13, pp. 5768-5768
Open Access | Times Cited: 1
Entire route eco-driving method for electric bus based on rule-based reinforcement learning
Lan Yang, Zhiqiang Hu, Liang Wang, et al.
Transportation Research Part E Logistics and Transportation Review (2024) Vol. 189, pp. 103636-103636
Closed Access | Times Cited: 1
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