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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:

Multi-objective fuzzy approach to scheduling and offloading workflow tasks in Fog–Cloud computing
Marwa Mokni, Sonia Yassa, Jalel Eddine Hajlaoui, et al.
Simulation Modelling Practice and Theory (2022) Vol. 123, pp. 102687-102687
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

An Optimal Scheduling Method in IoT-Fog-Cloud Network Using Combination of Aquila Optimizer and African Vultures Optimization
Qing Liu, Houman Kosarirad, Sajad Meisami, et al.
Processes (2023) Vol. 11, Iss. 4, pp. 1162-1162
Open Access | Times Cited: 26
A predictive energy-aware scheduling strategy for scientific workflows in fog computing
Mohammadreza Nazeri, Mohammadreza Soltanaghaei, Reihaneh Khorsand
Expert Systems with Applications (2024) Vol. 247, pp. 123192-123192
Closed Access | Times Cited: 11
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: 9
A dynamic weight–assignment load balancing approach for workflow scheduling in edge-cloud computing using ameliorated moth flame and rock hyrax optimization algorithms
Mustafa Ibrahim Khaleel
Future Generation Computer Systems (2024) Vol. 155, pp. 465-485
Closed Access | Times Cited: 9
Resource allocation in Fog–Cloud Environments: State of the art
Mohammad Zolghadri, Parvaneh Asghari, Seyed Ebrahim Dashti, et al.
Journal of Network and Computer Applications (2024) Vol. 227, pp. 103891-103891
Closed Access | Times Cited: 9
Hybrid modified particle swarm optimization with genetic algorithm (GA) based workflow scheduling in cloud-fog environment for multi-objective optimization
Gyan Singh, Amit Chaturvedi
Cluster Computing (2023) Vol. 27, Iss. 2, pp. 1947-1964
Closed Access | Times Cited: 19
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
An improved hunger game search optimizer based IoT task scheduling in cloud–fog computing
Ibrahim Attiya, Mohamed Abd Elaziz, Islam Issawi
Internet of Things (2024) Vol. 26, pp. 101196-101196
Closed Access | Times Cited: 5
Workflow task scheduling in a cloud-fog environment: a hybrid PSO-GOA approach
Sumit Bansal, Bhim Sain Singla, Himanshu Aggarwal
International Journal of Systems Assurance Engineering and Management (2025)
Closed Access
Energy-efficient task offloading and efficient resource allocation for edge computing: a quantum inspired particle swarm optimization approach
Banavath Balaji Naik, Bollu Priyanka, Md. Sarfaraj Alam Ansari
Cluster Computing (2025) Vol. 28, Iss. 3
Closed Access
A fault-tolerant scheduling strategy through proactive and clustering techniques for scientific workflows in cloud computing
Suha Mubdir Farhood, Reihaneh Khorsand, Nashwan Jasim Hussein, et al.
Soft Computing (2025)
Closed Access
A Hybrid Particle Whale Optimization Algorithm with application to workflow scheduling in cloud–fog environment
Sumit Bansal, Himanshu Aggarwal
Decision Analytics Journal (2023) Vol. 9, pp. 100361-100361
Open Access | Times Cited: 14
A multiobjective optimization of task workflow scheduling using hybridization of PSO and WOA algorithms in cloud-fog computing
Sumit Bansal, Himanshu Aggarwal
Cluster Computing (2024) Vol. 27, Iss. 8, pp. 10921-10952
Closed Access | Times Cited: 4
GPTOR: Gridded GA and PSO-based Task Offloading and Ordering in IoT-Edge-Cloud computing
Arezou Mahmoudi, Leili Farzinvash, Javid Taheri
Results in Engineering (2025) Vol. 25, pp. 104196-104196
Open Access
Towards an efficient scheduling strategy based on multi-objective optimization in fog environments
Guangli Nie, Elaheh Rezvani
Computing (2025) Vol. 107, Iss. 3
Closed Access
Research on Multi-Objective Optimal Scheduling for Power Battery Reverse Supply Chain
Kangye Tan, Yihui Tian, Fang Xu, et al.
Mathematics (2023) Vol. 11, Iss. 4, pp. 901-901
Open Access | Times Cited: 12
An Intelligent IoT‐Based Healthcare System Using Fuzzy Neural Networks
Chamandeep Kaur, Mohammed Saleh Al Ansari, V.K. Dwivedi, et al.
(2024), pp. 121-133
Closed Access | Times Cited: 3
Industry 4.0 and industrial workflow scheduling: A survey
Kaya Souaïbou Hawaou, Vivient Corneille Kamla, Sonia Yassa, et al.
Journal of Industrial Information Integration (2023) Vol. 38, pp. 100546-100546
Closed Access | Times Cited: 9
Delay-sensitive task offloading and efficient resource allocation in intelligent edge–cloud environments: A discretized differential evolution-based approach
B. Bandyopadhyay, Pratyay Kuila, Mahesh Chandra Govil, et al.
Applied Soft Computing (2024) Vol. 159, pp. 111637-111637
Closed Access | Times Cited: 2
AI-based & heuristic workflow scheduling in cloud and fog computing: a systematic review
Navid Khaledian, Marcus Voelp, Sadoon Azizi, et al.
Cluster Computing (2024) Vol. 27, Iss. 8, pp. 10265-10298
Closed Access | Times Cited: 2
Dynamic variable analysis guided adaptive evolutionary multi-objective scheduling for large-scale workflows in cloud computing
Yangkun Xia, Xinran Luo, Wei Yang, et al.
Swarm and Evolutionary Computation (2024) Vol. 90, pp. 101654-101654
Closed Access | Times Cited: 2
Decentralized and scalable hybrid scheduling-clustering method for real-time applications in volatile and dynamic Fog-Cloud Environments
Masoumeh Hajvali, Sahar Adabi, Ali Rezaee, et al.
Journal of Cloud Computing Advances Systems and Applications (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 5
Reinforcement learning-based multi-objective energy-efficient task scheduling in fog-cloud industrial IoT-based systems
V. Vijayalakshmi, M. Saravanan
Soft Computing (2023) Vol. 27, Iss. 23, pp. 17473-17491
Closed Access | Times Cited: 4
A trust management system for fog computing using improved genetic algorithm
Niloofar Barati Bakhtiari, Masood Rafighi, Reza Ahsan
The Journal of Supercomputing (2024) Vol. 80, Iss. 14, pp. 20923-20955
Closed Access | Times Cited: 1
A cost, time, energy-aware workflow scheduling using adaptive PSO algorithm in a cloud–fog environment
Gyan Singh, Amit Chaturvedi
Computing (2024) Vol. 106, Iss. 10, pp. 3279-3308
Closed Access | Times Cited: 1
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