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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:

A survey on the computation offloading approaches in mobile edge computing: A machine learning-based perspective
Ali Shakarami, Mostafa Ghobaei‐Arani, Ali Shahidinejad
Computer Networks (2020) Vol. 182, pp. 107496-107496
Closed Access | Times Cited: 268

Showing 1-25 of 268 citing articles:

AI for next generation computing: Emerging trends and future directions
Sukhpal Singh Gill, Minxian Xu, Carlo Ottaviani, et al.
Internet of Things (2022) Vol. 19, pp. 100514-100514
Open Access | Times Cited: 449
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial
Amal Feriani, Ekram Hossain
IEEE Communications Surveys & Tutorials (2021) Vol. 23, Iss. 2, pp. 1226-1252
Open Access | Times Cited: 230
Federated Learning in Edge Computing: A Systematic Survey
Haftay Gebreslasie Abreha, Mohammad Hayajneh, Mohamed Adel Serhani
Sensors (2022) Vol. 22, Iss. 2, pp. 450-450
Open Access | Times Cited: 173
Survey on computation offloading in UAV-Enabled mobile edge computing
S. M. Asiful Huda, Sangman Moh
Journal of Network and Computer Applications (2022) Vol. 201, pp. 103341-103341
Open Access | Times Cited: 149
An autonomous computation offloading strategy in Mobile Edge Computing: A deep learning-based hybrid approach
Ali Shakarami, Ali Shahidinejad, Mostafa Ghobaei‐Arani
Journal of Network and Computer Applications (2021) Vol. 178, pp. 102974-102974
Closed Access | Times Cited: 107
A survey on computation offloading and service placement in fog computing-based IoT
Kaouther Gasmi, Selma Dilek, Süleyman Tosun, et al.
The Journal of Supercomputing (2021) Vol. 78, Iss. 2, pp. 1983-2014
Closed Access | Times Cited: 107
RL/DRL Meets Vehicular Task Offloading Using Edge and Vehicular Cloudlet: A Survey
Jinshi Liu, Manzoor Ahmed, Muhammad Ayzed Mirza, et al.
IEEE Internet of Things Journal (2022) Vol. 9, Iss. 11, pp. 8315-8338
Closed Access | Times Cited: 94
PPO2: Location Privacy-Oriented Task Offloading to Edge Computing Using Reinforcement Learning for Intelligent Autonomous Transport Systems
Honghao Gao, Wanqiu Huang, Tong Liu, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 24, Iss. 7, pp. 7599-7612
Closed Access | Times Cited: 93
A review of optimization methods for computation offloading in edge computing networks
Kuanishbay Sadatdiynov, Laizhong Cui, Lei Zhang, et al.
Digital Communications and Networks (2022) Vol. 9, Iss. 2, pp. 450-461
Open Access | Times Cited: 86
Offloading Using Traditional Optimization and Machine Learning in Federated Cloud–Edge–Fog Systems: A Survey
Binayak Kar, Widhi Yahya, Ying‐Dar Lin, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 25, Iss. 2, pp. 1199-1226
Closed Access | Times Cited: 81
LiMPO: lightweight mobility prediction and offloading framework using machine learning for mobile edge computing
Sardar Khaliq uz Zaman, Ali Imran Jehangiri, Tahir Maqsood, et al.
Cluster Computing (2022) Vol. 26, Iss. 1, pp. 99-117
Closed Access | Times Cited: 74
Scheduling IoT Applications in Edge and Fog Computing Environments: A Taxonomy and Future Directions
Mohammad Goudarzi, Marimuthu Palaniswami, Rajkumar Buyya
ACM Computing Surveys (2022) Vol. 55, Iss. 7, pp. 1-41
Open Access | Times Cited: 69
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
Resource Scheduling in Edge Computing: Architecture, Taxonomy, Open Issues and Future Research Directions
Mostafa Raeisi-Varzaneh, Omar Dakkak, Adib Habbal, et al.
IEEE Access (2023) Vol. 11, pp. 25329-25350
Open Access | Times Cited: 46
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: 43
Server placement in mobile cloud computing: A comprehensive survey for edge computing, fog computing and cloudlet
Ali Asghari, Mohammad Karim Sohrabi
Computer Science Review (2024) Vol. 51, pp. 100616-100616
Closed Access | Times Cited: 39
Machine learning-based computation offloading in multi-access edge computing: A survey
Alok Choudhury, Manojit Ghose, Akhirul Islam, et al.
Journal of Systems Architecture (2024) Vol. 148, pp. 103090-103090
Closed Access | Times Cited: 17
UAV-Enabled Mobile Edge-Computing for IoT Based on AI: A Comprehensive Review
Yassine Yazid, Imad Ez‐zazi, Antonio Guerrero González, et al.
Drones (2021) Vol. 5, Iss. 4, pp. 148-148
Open Access | Times Cited: 97
Mobility-aware computational offloading in mobile edge networks: a survey
Sardar Khaliq uz Zaman, Ali Imran Jehangiri, Tahir Maqsood, et al.
Cluster Computing (2021) Vol. 24, Iss. 4, pp. 2735-2756
Closed Access | Times Cited: 91
Delay-aware optimization of energy consumption for task offloading in fog environments using metaheuristic algorithms
Maryam Keshavarznejad, Mohammad Hossein Rezvani, Sepideh Adabi
Cluster Computing (2021) Vol. 24, Iss. 3, pp. 1825-1853
Closed Access | Times Cited: 84
Autonomous computation offloading and auto-scaling the in the mobile fog computing: a deep reinforcement learning-based approach
Fatemeh Jazayeri, Ali Shahidinejad, Mostafa Ghobaei‐Arani
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 12, Iss. 8, pp. 8265-8284
Closed Access | Times Cited: 82
Joint wireless power transfer and task offloading in mobile edge computing: a survey
Ehzaz Mustafa, Junaid Shuja, Sardar Khaliq uz Zaman, et al.
Cluster Computing (2021) Vol. 25, Iss. 4, pp. 2429-2448
Closed Access | Times Cited: 76
Enabling Efficient Scheduling in Large-Scale UAV-Assisted Mobile-Edge Computing via Hierarchical Reinforcement Learning
Tao Ren, Jianwei Niu, Bin Dai, et al.
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 10, pp. 7095-7109
Closed Access | Times Cited: 72
Towards effective offloading mechanisms in fog computing
Maryam Sheikh Sofla, Mostafa Haghi Kashani, Ebrahim Mahdipour, et al.
Multimedia Tools and Applications (2021) Vol. 81, Iss. 2, pp. 1997-2042
Open Access | Times Cited: 71
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: 68
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