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:

Fuzzy Reinforcement Learning for energy efficient task offloading in Vehicular Fog Computing
Satish Vemireddy, Rashmi Ranjan Rout
Computer Networks (2021) Vol. 199, pp. 108463-108463
Closed Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

AI-based fog and edge computing: A systematic review, taxonomy and future directions
Sundas Iftikhar, Sukhpal Singh Gill, Chenghao Song, et al.
Internet of Things (2022) Vol. 21, pp. 100674-100674
Open Access | Times Cited: 136
Deadline-aware and energy-efficient IoT task scheduling in fog computing systems: A semi-greedy approach
Sadoon Azizi, Mohammad Shojafar, Jemal Abawajy, et al.
Journal of Network and Computer Applications (2022) Vol. 201, pp. 103333-103333
Closed Access | Times Cited: 108
AI-Empowered Fog/Edge Resource Management for IoT Applications: A Comprehensive Review, Research Challenges, and Future Perspectives
Guneet Kaur Walia, Mohit Kumar, Sukhpal Singh Gill
IEEE Communications Surveys & Tutorials (2023) Vol. 26, Iss. 1, pp. 619-669
Open Access | Times Cited: 80
Reinforcement Learning Methods for Computation Offloading: A Systematic Review
Zeinab Zabihi, Amir Masoud Eftekhari Moghadam, Mohammad Hossein Rezvani
ACM Computing Surveys (2023) Vol. 56, Iss. 1, pp. 1-41
Closed Access | Times Cited: 49
Offloading Mechanisms Based on Reinforcement Learning and Deep Learning Algorithms in the Fog Computing Environment
Dezheen H. Abdulazeez, Shavan Askar
IEEE Access (2023) Vol. 11, pp. 12555-12586
Open Access | Times Cited: 42
Task offloading in fog computing: A survey of algorithms and optimization techniques
Nidhi Kumari, Anirudh Yadav, Prasanta K. Jana
Computer Networks (2022) Vol. 214, pp. 109137-109137
Closed Access | Times Cited: 67
Task offloading in vehicular fog computing: State-of-the-art and open issues
Aisha Muhammad A. Hamdi, Farookh Khadeer Hussain, Omar Khadeer Hussain
Future Generation Computer Systems (2022) Vol. 133, pp. 201-212
Closed Access | Times Cited: 49
Improved Double Deep Q Network-Based Task Scheduling Algorithm in Edge Computing for Makespan Optimization
Lei Zeng, Qi Liu, Shigen Shen, et al.
Tsinghua Science & Technology (2023) Vol. 29, Iss. 3, pp. 806-817
Open Access | Times Cited: 30
EPtask: Deep Reinforcement Learning Based Energy-Efficient and Priority-Aware Task Scheduling for Dynamic Vehicular Edge Computing
Peisong Li, Ziren Xiao, Xinheng Wang, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 9, Iss. 1, pp. 1830-1846
Closed Access | Times Cited: 29
SONG: A Multi-Objective Evolutionary Algorithm for Delay and Energy Aware Facility Location in Vehicular Fog Networks
Md. Muzakkir Hussain, Ahmad Taher Azar, Rafeeq Ahmed, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 667-667
Open Access | Times Cited: 24
A Collaborative Computation and Offloading for Compute-Intensive and Latency-Sensitive Dependency-Aware Tasks in Dew-Enabled Vehicular Fog Computing: A Federated Deep Q-Learning Approach
Kaushik Mishra, Goluguri N. V. Rajareddy, Umashankar Ghugar, et al.
IEEE Transactions on Network and Service Management (2023) Vol. 20, Iss. 4, pp. 4600-4614
Open Access | Times Cited: 24
A comprehensive survey on scheduling algorithms using fuzzy systems in distributed environments
Zahra Jalali Khalil Abadi, N. Mansouri
Artificial Intelligence Review (2024) Vol. 57, Iss. 1
Open Access | Times Cited: 10
Toward Secure and Trustworthy Vehicular Fog Computing: A Survey
Ossama Nazih, Nabil Benamar, Hanane Lamaazi, et al.
IEEE Access (2024) Vol. 12, pp. 35154-35171
Open Access | Times Cited: 10
Intelligent Vehicle Computation Offloading in Vehicular Ad Hoc Networks: A Multi-Agent LSTM Approach with Deep Reinforcement Learning
Dingmi Sun, Yimin Chen, Hao Li
Mathematics (2024) Vol. 12, Iss. 3, pp. 424-424
Open Access | Times Cited: 9
Reinforcement learning based task offloading of IoT applications in fog computing: algorithms and optimization techniques
Takwa Allaoui, Kaouther Gasmi, Tahar Ezzedine
Cluster Computing (2024) Vol. 27, Iss. 8, pp. 10299-10324
Closed Access | Times Cited: 8
A Comprehensive Review of AI Techniques for Resource Management in Fog Computing: Trends, Challenges, and Future Directions
Deafallah Alsadie
IEEE Access (2024) Vol. 12, pp. 118007-118059
Open Access | Times Cited: 8
Reinforcement Learning for Optimizing Delay-Sensitive Task Offloading in Vehicular Edge–Cloud Computing
Ta Huu Binh, Do Bao Son, Hiep Vo, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 2, pp. 2058-2069
Closed Access | Times Cited: 18
Energy efficient resource allocation method for 5G access network based on reinforcement learning algorithm
Shasha Zhao
Sustainable Energy Technologies and Assessments (2023) Vol. 56, pp. 103020-103020
Closed Access | Times Cited: 17
Machine learning-based computation offloading in edge and fog: a systematic review
Sanaz Taheri-abed, Amir Masoud Eftekhari Moghadam, Mohammad Hossein Rezvani
Cluster Computing (2023) Vol. 26, Iss. 5, pp. 3113-3144
Closed Access | Times Cited: 17
MADRLOM: A Computation offloading mechanism for software-defined cloud-edge computing power network
Yinzhi Guo, Xiaolong Xu, Fu Xiao
Computer Networks (2024) Vol. 245, pp. 110352-110352
Closed Access | Times Cited: 6
Coherent Taxonomy of Vehicular Ad Hoc Networks (VANETs)-Enabled by Fog Computing: A Review
Zeyad Ghaleb Al-Mekhlafi, Saima Anwar Lashari, Mahmood A. Al-Shareeda, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 19, pp. 29575-29602
Closed Access | Times Cited: 5
Reinforcement learning-based solution for resource management in fog computing: A comprehensive survey
Reyhane Ghafari, N. Mansouri
Expert Systems with Applications (2025), pp. 127214-127214
Closed Access
Optimal cross-layer resource allocation in fog computing: A market-based framework
Shiyong Li, Huan Liu, Wenzhe Li, et al.
Journal of Network and Computer Applications (2022) Vol. 209, pp. 103528-103528
Open Access | Times Cited: 20
Deep reinforcement learning-based scheduling in distributed systems: a critical review
Zahra Jalali Khalil Abadi, N. Mansouri, Mohammad Masoud Javidi
Knowledge and Information Systems (2024) Vol. 66, Iss. 10, pp. 5709-5782
Closed Access | Times Cited: 3
Deadline-aware and energy efficient IoT task scheduling using fuzzy logic in fog computing
Rahul Thakur, Geeta Sikka, Urvashi Bansal, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 2
Page 1 - Next Page

Scroll to top