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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 new energy-aware tasks scheduling approach in fog computing using hybrid meta-heuristic algorithm
Pejman Hosseinioun, Maryam Kheirabadi, Seyed Reza Kamel Tabbakh, et al.
Journal of Parallel and Distributed Computing (2020) Vol. 143, pp. 88-96
Closed Access | Times Cited: 125

Showing 1-25 of 125 citing articles:

Fog computing: A taxonomy, systematic review, current trends and research challenges
Jagdeep Singh, Parminder Singh, Sukhpal Singh Gill
Journal of Parallel and Distributed Computing (2021) Vol. 157, pp. 56-85
Open Access | Times Cited: 109
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
Task scheduling in edge-fog-cloud architecture: a multi-objective load balancing approach using reinforcement learning algorithm
Fatemeh Ramezani Shahidani, Arezoo Ghasemi, Abolfazl Toroghi Haghighat, et al.
Computing (2023) Vol. 105, Iss. 6, pp. 1337-1359
Closed Access | Times Cited: 44
An optimal workflow scheduling in IoT-fog-cloud system for minimizing time and energy
Roqia Rateb, Ahmed Adnan Hadi, Venkata Mohit Tamanampudi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Energy-Aware Metaheuristic Algorithm for Industrial-Internet-of-Things Task Scheduling Problems in Fog Computing Applications
Mohamed Abdel‐Basset, Syed Bilal Hussain Shah, Mohamed Elhoseny, et al.
IEEE Internet of Things Journal (2020) Vol. 8, Iss. 16, pp. 12638-12649
Closed Access | Times Cited: 89
Application placement in Fog computing with AI approach: Taxonomy and a state of the art survey
Zahra Makki Nayeri, Toktam Ghafarian, Bahman Javadi
Journal of Network and Computer Applications (2021) Vol. 185, pp. 103078-103078
Closed Access | Times Cited: 79
Multi-objective Task Scheduling in cloud-fog computing using goal programming approach
Abbas Najafizadeh, Afshin Salajegheh, Amir Masoud Rahmani, et al.
Cluster Computing (2021) Vol. 25, Iss. 1, pp. 141-165
Closed Access | Times Cited: 70
Energy-makespan optimization of workflow scheduling in fog–cloud computing
Samia Ijaz, Ehsan Ullah Munir, Saima Gulzar Ahmad, et al.
Computing (2021) Vol. 103, Iss. 9, pp. 2033-2059
Open Access | Times Cited: 66
Namib beetle optimization algorithm: A new meta‐heuristic method for feature selection and dimension reduction
Meysam Chahardoli, Nafiseh Osati Eraghi, Sara Nazari
Concurrency and Computation Practice and Experience (2021) Vol. 34, Iss. 1
Closed Access | Times Cited: 51
A systematic review on task scheduling in Fog computing: Taxonomy, tools, challenges, and future directions
Navjeet Kaur, Ashok Kumar, Rajesh Kumar
Concurrency and Computation Practice and Experience (2021) Vol. 33, Iss. 21
Closed Access | Times Cited: 46
Using differential evolution and Moth–Flame optimization for scientific workflow scheduling in fog computing
Omed Hassan Ahmed, Joan Lu, Qiang Xu, et al.
Applied Soft Computing (2021) Vol. 112, pp. 107744-107744
Open Access | Times Cited: 46
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
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
Optimized task scheduling and preemption for distributed resource management in fog-assisted IoT environment
Heena Wadhwa, Rajni Aron
The Journal of Supercomputing (2022) Vol. 79, Iss. 2, pp. 2212-2250
Closed Access | Times Cited: 33
An improved discrete harris hawk optimization algorithm for efficient workflow scheduling in multi-fog computing
Danial Javaheri, Saeid Gorgin, Jeong–A Lee, et al.
Sustainable Computing Informatics and Systems (2022) Vol. 36, pp. 100787-100787
Closed Access | Times Cited: 29
An integrated Fuzzy-BWM, Fuzzy-LBWA and V-Fuzzy-CoCoSo-LD model for gateway selection in fog-bolstered Internet of Things
Sunday Oyinlola Ogundoyin, Ismaila Adeniyi Kamil
Applied Soft Computing (2023) Vol. 143, pp. 110393-110393
Closed Access | Times Cited: 20
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: 19
Mobility Aware-Task Scheduling and Virtual Fog for Offloading in IoT-Fog-Cloud Environment
Khaled Matrouk, Amer D. Matrouk
Wireless Personal Communications (2023) Vol. 130, Iss. 2, pp. 801-836
Closed Access | Times Cited: 17
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
Use of whale optimization algorithm and its variants for cloud task scheduling: a review
Ali Mohammadzadeh, Amit Chhabra, Seyedali Mirjalili, et al.
Elsevier eBooks (2024), pp. 47-68
Closed Access | Times Cited: 6
Automata-Based Dynamic Fault Tolerant Task Scheduling Approach in Fog Computing
Sara Ghanavati, Jemal Abawajy, Davood Izadi
IEEE Transactions on Emerging Topics in Computing (2020) Vol. 10, Iss. 1, pp. 488-499
Closed Access | Times Cited: 43
Task scheduling in cloud computing using hybrid optimization algorithm
Mohd Sha Alam Khan, R. Santhosh
Soft Computing (2021) Vol. 26, Iss. 23, pp. 13069-13079
Closed Access | Times Cited: 40
A Survey of Low-Energy Parallel Scheduling Algorithms
Guoqi Xie, Xiongren Xiao, Peng Hao, et al.
IEEE Transactions on Sustainable Computing (2021) Vol. 7, Iss. 1, pp. 27-46
Closed Access | Times Cited: 39
Directed Search: A New Operator in NSGA-II for Task Scheduling in IoT Based on Cloud-Fog Computing
Soghra Mousavi, Sepehr Ebrahimi Mood, Alireza Souri, et al.
IEEE Transactions on Cloud Computing (2022) Vol. 11, Iss. 2, pp. 2144-2157
Closed Access | Times Cited: 27
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