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:

Toward Learning Human-Like, Safe and Comfortable Car-Following Policies With a Novel Deep Reinforcement Learning Approach
M. Ugur Yavas, Tufan Kumbasar, Nazım Kemal Üre
IEEE Access (2023) Vol. 11, pp. 16843-16854
Open Access | Times Cited: 9

Showing 9 citing articles:

Car-Following Models for Human-Driven Vehicles and Autonomous Vehicles: A Systematic Review
Zelin Wang, Yunyang Shi, Weiping Tong, et al.
Journal of Transportation Engineering Part A Systems (2023) Vol. 149, Iss. 8
Closed Access | Times Cited: 30
Enhancing Longitudinal Velocity Control With Attention Mechanism-Based Deep Deterministic Policy Gradient (DDPG) for Safety and Comfort
Fahmida Islam, John Ball, C. Goodin
IEEE Access (2024) Vol. 12, pp. 30765-30780
Open Access | Times Cited: 7
Event-Triggered Parallel Control Using Deep Reinforcement Learning With Application to Comfortable Autonomous Driving
Jingwei Lu, Lefei Li, Fei‐Yue Wang
IEEE Transactions on Intelligent Vehicles (2024) Vol. 9, Iss. 3, pp. 4470-4479
Closed Access | Times Cited: 6
A Digital Twin-based multi-objective optimized task offloading and scheduling scheme for vehicular edge networks
Lin Zhu, Bingxian Li, Long Tan
Future Generation Computer Systems (2024) Vol. 163, pp. 107517-107517
Closed Access | Times Cited: 4
Ensemblefollower: A Hybrid Car-Following Framework Based on Hierarchical Planning and Reinforcement Learning
Xu Han, Xianda Chen, Meixin Zhu, et al.
(2024)
Closed Access | Times Cited: 1
A dynamic spectrum access algorithm based on deep reinforcement learning with novel multi-vehicle reward functions in cognitive vehicular networks
Lingling Chen, Ziwei Wang, Xiaohui Zhao, et al.
Telecommunication Systems (2024) Vol. 87, Iss. 2, pp. 359-383
Closed Access | Times Cited: 1
A Deep Reinforcement Learning Decision-Making Approach for Adaptive Cruise Control in Autonomous Vehicles
Dany Ghraizi, Reine Talj, Clovis Francis
(2023), pp. 71-78
Open Access | Times Cited: 1
Multi-Agent Reinforcement Learning for Cooperative Vehicle Motion Control
Kenan Ahmic, Johannes Ultsch, Jonathan Brembeck, et al.
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (2024), pp. 2637-2644
Closed Access
Digital Twin-Assisted Vehicles Edge Network Computing Offloading Scheme
Zhu Lin, Long Tan, Bingxian Li
Research Square (Research Square) (2023)
Open Access
Page 1

Scroll to top