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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:

Scalable Parallel Task Scheduling for Autonomous Driving Using Multi-Task Deep Reinforcement Learning
Qi Qi, Lingxin Zhang, Jingyu Wang, et al.
IEEE Transactions on Vehicular Technology (2020) Vol. 69, Iss. 11, pp. 13861-13874
Closed Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

Edge-Enabled Two-Stage Scheduling Based on Deep Reinforcement Learning for Internet of Everything
Xiaokang Zhou, Wei Liang, Ke Yan, et al.
IEEE Internet of Things Journal (2022) Vol. 10, Iss. 4, pp. 3295-3304
Open Access | Times Cited: 98
A Comprehensive Survey of the Key Technologies and Challenges Surrounding Vehicular Ad Hoc Networks
Zhenchang Xia, Jia Wu, Libing Wu, et al.
ACM Transactions on Intelligent Systems and Technology (2021) Vol. 12, Iss. 4, pp. 1-30
Open Access | Times Cited: 60
Machine learning methods for service placement: a systematic review
Parviz Keshavarz Haddadha, Mohammad Hossein Rezvani, Mahdi Mollamotalebi, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 3
Open Access | Times Cited: 13
Deep and Reinforcement Learning Technologies on Internet of Vehicle (IoV) Applications: Current Issues and Future Trends
Lina Elmoiz Alatabani, Elmustafa Sayed Ali, Rania A. Mokhtar, et al.
Journal of Advanced Transportation (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 36
Method for evaluation on energy consumption of cloud computing data center based on deep reinforcement learning
Haizhou Ma, Ding Ai-ping
Electric Power Systems Research (2022) Vol. 208, pp. 107899-107899
Closed Access | Times Cited: 32
Intelligent Task Allocation for Mobile Crowdsensing With Graph Attention Network and Deep Reinforcement Learning
Chenghao Xu, Wei Song
IEEE Transactions on Network Science and Engineering (2023) Vol. 10, Iss. 2, pp. 1032-1048
Closed Access | Times Cited: 21
Task Scheduling Mechanisms for Fog Computing: A Systematic Survey
Mehdi Hosseinzadeh, Elham Azhir, Jan Lánský, et al.
IEEE Access (2023), pp. 1-1
Open Access | Times Cited: 18
Ubiquitous computation in internet of vehicles for human-centric transport systems
Inam Ullah, Farhad Ali, Habib Ullah Khan, et al.
Computers in Human Behavior (2024) Vol. 161, pp. 108394-108394
Closed Access | Times Cited: 6
LACCVoV: Linear Adaptive Congestion Control With Optimization of Data Dissemination Model in Vehicle-to-Vehicle Communication
Arun Kumar Sangaiah, Jaya Subalakshmi Ramamoorthi, Joel J. P. C. Rodrigues, et al.
IEEE Transactions on Intelligent Transportation Systems (2020) Vol. 22, Iss. 8, pp. 5319-5328
Closed Access | Times Cited: 41
Unmanned Era: A Service Response Framework in Smart City
Yilong Hui, Zhou Su, Tom H. Luan
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 6, pp. 5791-5805
Closed Access | Times Cited: 37
Wireless Powered Metaverse: Joint Task Scheduling and Trajectory Design for Multi-Devices and Multi-UAVs
Xiaojie Wang, Jiameng Li, Zhaolong Ning, et al.
IEEE Journal on Selected Areas in Communications (2023) Vol. 42, Iss. 3, pp. 552-569
Open Access | Times Cited: 14
Optimization of Multi-Task Efficient Offloading Strategy for Heterogeneous Edge Computing Based on Deep Reinforcement Learning
Sen Zhu
(2025) Vol. 2, Iss. 1, pp. 22-28
Closed Access
CIRNet: An improved RGBT tracking via cross-modality interaction and re-identification
Weidai Xia, Dongming Zhou, Jinde Cao, et al.
Neurocomputing (2022) Vol. 493, pp. 327-339
Closed Access | Times Cited: 20
Communication Quality Prediction for Internet of Vehicle (IoV) Networks: An Elman Approach
Lingwei Xu, Xinpeng Zhou, Mohammad Ayoub Khan, et al.
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 10, pp. 19644-19654
Closed Access | Times Cited: 25
The Applicability of Reinforcement Learning Methods in the Development of Industry 4.0 Applications
Tamás Kegyes, Zoltán Süle, János Abonyi
Complexity (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 23
An improved resource scheduling strategy through concatenated deep learning model for edge computing IoT networks
G. Vijayasekaran, M. Duraipandian
International Journal of Communication Systems (2024) Vol. 37, Iss. 7
Closed Access | Times Cited: 3
Latency-Energy Tradeoff in Connected Autonomous Vehicles: A Deep Reinforcement Learning Scheme
Ishan Budhiraja, Neeraj Kumar, Himanshu Sharma, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 24, Iss. 11, pp. 13296-13308
Closed Access | Times Cited: 14
Internet of Vehicles (IoV)-Based Task Scheduling Approach Using Fuzzy Logic Technique in Fog Computing Enables Vehicular Ad Hoc Network (VANET)
Muhammad Ehtisham, Mahmood ul Hassan, Amin A. Al-Awady, et al.
Sensors (2024) Vol. 24, Iss. 3, pp. 874-874
Open Access | Times Cited: 2
Digi-Infrastructure: Digital Twin-Enabled Traffic Shaping with Low-Latency for 6G Smart Cities
Yagmur Yigit, Hamed Ahmadi, Gökhan Yurdakul, et al.
IEEE Communications Standards Magazine (2024) Vol. 8, Iss. 3, pp. 28-34
Closed Access | Times Cited: 2
Joint bidding and pricing for electricity retailers based on multi-task deep reinforcement learning
Hongsheng Xu, Qiuwei Wu, Jinyu Wen, et al.
International Journal of Electrical Power & Energy Systems (2021) Vol. 138, pp. 107897-107897
Closed Access | Times Cited: 16
Multi-Granularity Collaborative Decision With Cognitive Networking in Intelligent Transportation Systems
Kai Lin, Jian Gao, Yihui Li, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 24, Iss. 1, pp. 1088-1098
Closed Access | Times Cited: 11
Controlling Fleets of Autonomous Mobile Robots with Reinforcement Learning: A Brief Survey
Mike Wesselhöft, Johannes Hinckeldeyn, Jochen Kreutzfeldt
Robotics (2022) Vol. 11, Iss. 5, pp. 85-85
Open Access | Times Cited: 8
Unleashing the True Power of Age-of-Information: Service Aggregation in Connected and Autonomous Vehicles
Anik Mallik, Dawei Chen, Kyungtae Han, et al.
ICC 2022 - IEEE International Conference on Communications (2024), pp. 1709-1714
Open Access | Times Cited: 1
Hybrid Electro search beetle optimization based task scheduling and game theory SOA based resource allocation in multi cloud computing
Gavini Sreelatha, C. Kishor Kumar Reddy, ‪Marlia M. Hanafiah‬, et al.
Software Practice and Experience (2024) Vol. 55, Iss. 2, pp. 307-331
Closed Access | Times Cited: 1
A Systematic Review of Optimal Task Scheduling Methods Using Machine Learning in Cloud Computing Environments
Krishna Rao Patwari, Raghvendra Kumar, Jyoti Sastry
Lecture notes in networks and systems (2024), pp. 321-333
Closed Access | Times Cited: 1
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