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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:

PGA: A Priority-aware Genetic Algorithm for Task Scheduling in Heterogeneous Fog-Cloud Computing
Farooq Hoseiny, Sadoon Azizi, Mohammad Shojafar, et al.
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (2021), pp. 1-6
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Resource Allocation and Task Scheduling in Fog Computing and Internet of Everything Environments: A Taxonomy, Review, and Future Directions
Bushra Jamil, Humaira Ijaz, Mohammad Shojafar, et al.
ACM Computing Surveys (2022) Vol. 54, Iss. 11s, pp. 1-38
Open Access | Times Cited: 106
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
Combining Federated Learning and Edge Computing Toward Ubiquitous Intelligence in 6G Network: Challenges, Recent Advances, and Future Directions
Qiang Duan, Jun Huang, Shijing Hu, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 25, Iss. 4, pp. 2892-2950
Closed Access | Times Cited: 47
Hybrid heuristic algorithm for cost-efficient QoS aware task scheduling in fog–cloud environment
Syed Mujtiba Hussain, Gh. Rasool Begh
Journal of Computational Science (2022) Vol. 64, pp. 101828-101828
Closed Access | Times Cited: 39
Deep Reinforcement Learning-based scheduling for optimizing system load and response time in edge and fog computing environments
Zhiyu Wang, Mohammad Goudarzi, Mingming Gong, et al.
Future Generation Computer Systems (2023) Vol. 152, pp. 55-69
Open Access | Times Cited: 39
Resource scheduling methods in cloud and fog computing environments: a systematic literature review
Aryan Rahimikhanghah, Melika Tajkey, Bahareh Rezazadeh, et al.
Cluster Computing (2021) Vol. 25, Iss. 2, pp. 911-945
Closed Access | Times Cited: 46
DECO: A Deadline-Aware and Energy-Efficient Algorithm for Task Offloading in Mobile Edge Computing
Sadoon Azizi, Majeed Othman, Hana Khamfroush
IEEE Systems Journal (2022) Vol. 17, Iss. 1, pp. 952-963
Closed Access | Times Cited: 31
A novel deep reinforcement learning scheme for task scheduling in cloud computing
K Siddesha, G.V. Jayaramaiah, Chandrapal Singh
Cluster Computing (2022) Vol. 25, Iss. 6, pp. 4171-4188
Closed Access | Times Cited: 30
Genetic-Based Algorithm for Task Scheduling in Fog–Cloud Environment
Abdelhamid Khiat, Mohamed Haddadi, Nacera Bahnes
Journal of Network and Systems Management (2023) Vol. 32, Iss. 1
Closed Access | Times Cited: 21
A novel energy-based task scheduling in fog computing environment: an improved artificial rabbits optimization approach
Reyhane Ghafari, N. Mansouri
Cluster Computing (2024) Vol. 27, Iss. 6, pp. 8413-8458
Closed Access | Times Cited: 7
Advancements in heuristic task scheduling for IoT applications in fog-cloud computing: challenges and prospects
Deafallah Alsadie
PeerJ Computer Science (2024) Vol. 10, pp. e2128-e2128
Open Access | Times Cited: 7
Task scheduling in fog environment — Challenges, tools & methodologies: A review
Zahra Jalali Khalil Abadi, N. Mansouri, Mahshid Khalouie
Computer Science Review (2023) Vol. 48, pp. 100550-100550
Closed Access | Times Cited: 13
Optimizing multi-objective task scheduling in fog computing with GA-PSO algorithm for big data application
Muhammad Saad, Rabia Noor Enam, Rehan Qureshi
Frontiers in Big Data (2024) Vol. 7
Open Access | Times Cited: 5
Independent task scheduling algorithms in fog environments from users’ and service providers’ perspectives: a systematic review
Abdulrahman K. Al-Qadhi, Rohaya Latip, Raymond Chiong, et al.
Cluster Computing (2025) Vol. 28, Iss. 3
Closed Access
IKH-EFT: An improved method of workflow scheduling using the krill herd algorithm in the fog-cloud environment
Navid Khaledian, Keyhan Khamforoosh, Sadoon Azizi, et al.
Sustainable Computing Informatics and Systems (2022) Vol. 37, pp. 100834-100834
Open Access | Times Cited: 20
A State-of-the-Art Review of Task Scheduling for Edge Computing: A Delay-Sensitive Application Perspective
Amin Avan, Akramul Azim, Qusay H. Mahmoud
Electronics (2023) Vol. 12, Iss. 12, pp. 2599-2599
Open Access | Times Cited: 11
Scheduling in multilayer fog-cloud environment using recursive bidirectional optimization for reducing latency (SMFC-RBO)
Upma Arora, Nipur Singh, Vivek Kumar, et al.
International Journal of Information Technology (2025)
Closed Access
Elevating Survivability in Next-Gen IoT-Fog-Cloud Networks: Scheduling Optimization With the Metaheuristic Mountain Gazelle Algorithm
Mashael Maashi, Eatedal Alabdulkreem, Mohammed Maray, et al.
IEEE Transactions on Consumer Electronics (2024) Vol. 70, Iss. 1, pp. 3802-3809
Closed Access | Times Cited: 3
Bandwidth-Deadline IoT Task Scheduling in Fog–Cloud Computing Environment Based on the Task Bandwidth
Naseem Adnan Alsamarai, Osman N. Uçan, Oras Fadhil Khalaf
Wireless Personal Communications (2023)
Closed Access | Times Cited: 8
Task Scheduling Optimization in Cloud-Fog-MCS Environment Using Genetic Algorithm and Game Theory
Ahmed Raheem Kadhim
International Journal of Electrical and Electronic Engineering & Telecommunications (2024) Vol. 13, Iss. 3, pp. 200-213
Open Access | Times Cited: 2
Joint Edge Server Selection and Data Set Management for Federated-Learning-Enabled Mobile Traffic Prediction
Doyeon Kim, Seungjae Shin, Jae-Won Jeong, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 3, pp. 4971-4986
Closed Access | Times Cited: 6
Towards Optimal Application Offloading in Heterogeneous Edge-Cloud Computing
Tingxiang Ji, Xili Wan, Xinjie Guan, et al.
IEEE Transactions on Computers (2023) Vol. 72, Iss. 11, pp. 3259-3272
Closed Access | Times Cited: 5
Service placement in fog–cloud computing environments: a comprehensive literature review
Fatemeh Sarkohaki, Mohsen Sharifi
The Journal of Supercomputing (2024) Vol. 80, Iss. 12, pp. 17790-17822
Closed Access | Times Cited: 1
Efficient Pareto based approach for IoT task offloading on Fog-Cloud environments
Léo Bernard, Sonia Yassa, Lylia Alouache, et al.
Internet of Things (2024) Vol. 27, pp. 101311-101311
Closed Access | Times Cited: 1
Fuzzy Reinforcement Learning Algorithm for Efficient Task Scheduling in Fog-Cloud IoT-Based Systems
Reyhane Ghafari, N. Mansouri
Journal of Grid Computing (2024) Vol. 22, Iss. 4
Closed Access | Times Cited: 1
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