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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:

Meta-heuristic Approaches for Effective Scheduling in Infrastructure as a Service Cloud: A Systematic Review
J. Kok Konjaang, Lina Xu
Journal of Network and Systems Management (2021) Vol. 29, Iss. 2
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Task scheduling algorithms for energy optimization in cloud environment: a comprehensive review
‪R. Ghafari, F. Hassani Kabutarkhani, N. Mansouri
Cluster Computing (2022) Vol. 25, Iss. 2, pp. 1035-1093
Closed Access | Times Cited: 64
A two-stage scheduler based on New Caledonian Crow Learning Algorithm and reinforcement learning strategy for cloud environment
Behnam Mohammad Hasani Zade, N. Mansouri, Mohammad Masoud Javidi
Journal of Network and Computer Applications (2022) Vol. 202, pp. 103385-103385
Closed Access | Times Cited: 29
A dynamic multipopulation genetic algorithm for multiobjective workflow scheduling based on the longest common sequence
Huixian Qiu, Xuewen Xia, Yuanxiang Li, et al.
Swarm and Evolutionary Computation (2023) Vol. 78, pp. 101291-101291
Closed Access | Times Cited: 16
An adaptive symbiotic organisms search for constrained task scheduling in cloud computing
Mohammed Abdullahi, Md Asri Ngadi, Salihu Idi Dishing, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 7, pp. 8839-8850
Closed Access | Times Cited: 25
Resource scheduling methods for cloud computing environment: The role of meta-heuristics and artificial intelligence
Rajni Aron, Ajith Abraham
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105345-105345
Closed Access | Times Cited: 23
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
Energy-aware intelligent scheduling for deadline-constrained workflows in sustainable cloud computing
Min Cao, Yaoyu Li, Xupeng Wen, et al.
Egyptian Informatics Journal (2023) Vol. 24, Iss. 2, pp. 277-290
Open Access | Times Cited: 11
Energy-efficient virtual-machine mapping algorithm (EViMA) for workflow tasks with deadlines in a cloud environment
J. Kok Konjaang, John Murphy, Liam Murphy
Journal of Network and Computer Applications (2022) Vol. 203, pp. 103400-103400
Open Access | Times Cited: 17
Redefining teaching-and-learning-process in TLBO and its application in cloud
Satya Deo Kumar Ram, Shashank Srivastava, K. K. Mishra
Applied Soft Computing (2023) Vol. 135, pp. 110017-110017
Closed Access | Times Cited: 10
Improved Harris Hawks Optimizer with chaotic maps and opposition-based learning for task scheduling in cloud environment
‪R. Ghafari, N. Mansouri
Cluster Computing (2023) Vol. 27, Iss. 2, pp. 1421-1469
Closed Access | Times Cited: 8
Parallel Enhanced Whale Optimization Algorithm for Independent Tasks Scheduling on Cloud Computing
Zulfiqar Ali Khan, Izzatdin Abdul Aziz, Nurul Aida Osman, et al.
IEEE Access (2024) Vol. 12, pp. 23529-23548
Open 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
PCP–ACO: a hybrid deadline-constrained workflow scheduling algorithm for cloud environment
Peyman Shobeiri, Mehdi Akbarian Rastaghi, Saeid Abrishami, et al.
The Journal of Supercomputing (2023) Vol. 80, Iss. 6, pp. 7750-7780
Closed Access | Times Cited: 5
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: 1
Meta-Heuristic Scheduling: A Review on Swarm Intelligence and Hybrid Meta-Heuristics Algorithms for Cloud Computing
Samah Jomah, S. Aji
Operations Research Forum (2024) Vol. 5, Iss. 4
Closed Access | Times Cited: 1
Voltage Control in MV Network with Distributed Generation—Possibilities of Real Quality Enhancement
Paweł Pijarski, Piotr Kacejko, M. Wancerz
Energies (2022) Vol. 15, Iss. 6, pp. 2081-2081
Open Access | Times Cited: 6
A Discrete Interval-Based Multi-Objective Memetic Algorithm for Scheduling Workflow With Uncertainty in Cloud Environment
Shuo Qin, Dechang Pi, Zhongshi Shao, et al.
IEEE Transactions on Network and Service Management (2022) Vol. 20, Iss. 3, pp. 3020-3037
Closed Access | Times Cited: 4
An Improved Glowworm Swarm Optimization Based on Various Mutation Operators
Atheer Bassel, Saad Adnan Abed, Salwani Abdullah, et al.
IEEE Access (2024) Vol. 12, pp. 106359-106384
Open Access
Transformer-Enhanced DQN Approach for Energy and Cost-Efficient Large-Scale Dynamic Workflow Scheduling in Heterogeneous Environment
Fan Ding, Yaqian Yuan, Lizhi Lv, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 22, pp. 37351-37367
Closed Access
A tri-chromosome-based evolutionary algorithm for energy-efficient workflow scheduling in clouds
Yangkun Xia, Xinran Luo, Ting Jin, et al.
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101751-101751
Closed Access
Planning and scheduling shared manufacturing systems: key characteristics, current developments and future trends
Ege Duran, Cemalettin Öztürk, Barry O’Sullivan
International Journal of Production Research (2024), pp. 1-33
Open Access
An empirical investigation of task scheduling and VM consolidation schemes in cloud environment
Sweta Singh, Rakesh Kumar, Dayashankar Singh
Computer Science Review (2023) Vol. 50, pp. 100583-100583
Closed Access | Times Cited: 1
GEMM, a Genetic Engineering-Based Mutual Model for Resource Allocation of Grid Computing
Sandeep Kumar Sharma, Amit Chaurasia, Vijay Shankar Sharma, et al.
IEEE Access (2023) Vol. 11, pp. 128537-128548
Open Access | Times Cited: 1
Mathematical and Software for Building the Rating of the Largest IaaS Suppliers by the Threshold Aggregation Method
С. В. Разумников
Lecture notes in electrical engineering (2023), pp. 3-11
Closed Access
GCRS – Green Computing Resource Scheduler: An Optimized Energy Efficient Cloud Data Centers to Scale Down Carbon Emission
K. Chitra, M. Getzi
(2023), pp. 1091-1098
Closed Access
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