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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:

An effective meta-heuristic based multi-objective hybrid optimization method for workflow scheduling in cloud computing environment
Jabir Kakkottakath Valappil Thekkepuryil, David Peter Suseelan, Preetha Mathew Keerikkattil
Cluster Computing (2021) Vol. 24, Iss. 3, pp. 2367-2384
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Improved wild horse optimization with levy flight algorithm for effective task scheduling in cloud computing
G. Saravanan, S. Neelakandan, P. Ezhumalai, et al.
Journal of Cloud Computing Advances Systems and Applications (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 56
Automated evolutionary approach for the design of composite machine learning pipelines
Nikolay O. Nikitin, Pavel Vychuzhanin, Mikhail Sarafanov, et al.
Future Generation Computer Systems (2021) Vol. 127, pp. 109-125
Open Access | Times Cited: 58
Security and privacy concerns in cloud-based scientific and business workflows: A systematic review
Nafiseh Soveizi, Fatih Türkmen, Dimka Karastoyanova
Future Generation Computer Systems (2023) Vol. 148, pp. 184-200
Open Access | Times Cited: 25
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
Energy-aware workflow scheduling in fog computing using a hybrid chaotic algorithm
Ali Mohammadzadeh, Mahdi Akbari Zarkesh, Pouria Haji Shahmohamd, et al.
The Journal of Supercomputing (2023) Vol. 79, Iss. 16, pp. 18569-18604
Closed Access | Times Cited: 17
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
A mixed-integer non-linear no-wait open-shop scheduling model for minimizing makespan and total tardiness in manufacturing
Mirpouya Mirmozaffari, Seyed Mojtaba Hejazi, Narges Karamizadeh, et al.
Decision Analytics Journal (2024) Vol. 10, pp. 100403-100403
Open Access | Times Cited: 6
Bi-objective Workflow Scheduling in the Cloud: What is the Real State-of-the-Art?
Yury Semenov, Oleg Sukhoroslov
Lecture notes in computer science (2025), pp. 20-31
Closed Access
Chronological geese migration optimization for workflow scheduling algorithm in cloud computing based on multi-objective and deep Q learning
AG. Noorul Julaiha, Phani Kumar S
International Journal of Modelling and Simulation (2025), pp. 1-15
Closed Access
HICA: A Hybrid Scientific Workflow Scheduling Algorithm for Symmetric Homogeneous Resource Cloud Environments
Liang Hu, Xianwei Wu, Xilong Che
Symmetry (2025) Vol. 17, Iss. 2, pp. 280-280
Open 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
An energy efficient RL based workflow scheduling in cloud computing
Vamsheedhar Reddy Pillareddy, Ganesh Reddy Karri
Expert Systems with Applications (2023) Vol. 234, pp. 121038-121038
Closed Access | Times Cited: 8
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
A Multi-Objective Based Scheduling Framework for Effective Resource Utilization in Cloud Computing
Vamsheedhar Reddy Pillareddy, Ganesh Reddy Karri
IEEE Access (2023) Vol. 11, pp. 37178-37193
Open Access | Times Cited: 4
A genetic algorithm‐based virtual machine scheduling algorithm for energy‐efficient resource management in cloud computing
Shi Feng
Concurrency and Computation Practice and Experience (2024) Vol. 36, Iss. 22
Closed Access | Times Cited: 1
An augmented swarm optimization algorithm for k-clustering minimum biclique completion problems
G.-M. Cochard, S. Elmi Samod, Mhand Hifi, et al.
Soft Computing (2024)
Closed Access | Times Cited: 1
An Efficient Workflow Scheduling Using Genetically Modified Golden Jackal Optimization With Recurrent Autoencoder in Cloud Computing
Shivam Tripathi, Sarsij Tripathi
International Journal of Network Management (2024) Vol. 35, Iss. 1
Closed Access | Times Cited: 1
A Genetic Algorithm-Based Virtual Machine Allocation Policy for Load Balancing Using Actual Asymmetric Workload Traces
Insha Naz, Sameena Naaz, Parul Agarwal, et al.
Symmetry (2023) Vol. 15, Iss. 5, pp. 1025-1025
Open Access | Times Cited: 4
A Novel Hybrid MSA-CSA Algorithm for Cloud Computing Task Scheduling Problems
Shtwai Alsubai, Harish Garg, Abdullah Alqahtani
Symmetry (2023) Vol. 15, Iss. 10, pp. 1931-1931
Open Access | Times Cited: 3
Enhancing Cloud Task Scheduling With a Robust Security Approach and Optimized Hybrid POA
S. V. Aswin Kumer, N. Prabakaran, E. Mohan, et al.
IEEE Access (2023) Vol. 11, pp. 122426-122445
Open Access | Times Cited: 2
Decision Scheduling for Cloud Computing Tasks Relying on Solving Large Linear Systems of Equations
Jing He
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 3
Adaptive Scheduling Framework of Streaming Applications based on Resource Demand Prediction with Hybrid Algorithms
Hongjian Li, Wei Luo, Wenbin Xie, et al.
Journal of Grid Computing (2024) Vol. 22, Iss. 1
Closed Access
A multi-strategy sand cat swarm optimization to efficient resource allocation and scheduling in fog-cloud environment
Ferzat Anka
Research Square (Research Square) (2024)
Open Access
Mean makespan task scheduling approach for the edge computing environment
Nisha Saini, Jitender Kumar
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2024) Vol. 14, Iss. 4, pp. 4714-4714
Open Access
Optimizing Task Scheduling: Exploring Advanced Machine Learning in Dew-Powered Cloud Environments
Acharya Ganesh, K. Divya, C. Sasikala, et al.
Scalable Computing Practice and Experience (2024) Vol. 25, Iss. 5, pp. 3701-3714
Open Access
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