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:

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 26-50 of 32 citing articles:

Safety aware neural network for connected and automated vehicle operations
Handong Yao, Xiaopeng Li, Qianwen Li, et al.
Transportation Research Part E Logistics and Transportation Review (2024) Vol. 192, pp. 103780-103780
Closed Access | Times Cited: 1

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

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

Traffic oscillation mitigation with physics-enhanced residual learning (PERL)-based predictive control
Keke Long, Zhaohui Liang, Haotian Shi, et al.
Communications in Transportation Research (2024) Vol. 4, pp. 100154-100154
Open Access | Times Cited: 1

Dynamic coordinated strategy for parking guidance in a mixed driving parking lot involving human-driven and autonomous vehicles
Zhiyuan Wang, Chu Zhang, S. Xue, et al.
Electronic Research Archive (2024) Vol. 32, Iss. 1, pp. 523-550
Open Access

Intelligent Decision-Making Method for Vehicles in Emergency Conditions Based on Artificial Potential Fields and Finite State Machines
Xunjia Zheng, Huilan Li, Qiang Zhang, et al.
Journal of Intelligent and Connected Vehicles (2024) Vol. 7, Iss. 1, pp. 19-29
Open Access

Development of Grain Dryer Control Technology from the Perspective of Low Carbon and Intelligentization
Kezhen Chang, Jinquan Li, Yi Jin, et al.
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10587-10587
Open Access

Previous Page - Page 2

Scroll to top