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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:

Task scheduling and VM placement to resource allocation in Cloud computing: challenges and opportunities
Karima Saidi, Dalal Bardou
Cluster Computing (2023) Vol. 26, Iss. 5, pp. 3069-3087
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Enhancement in performance of cloud computing task scheduling using optimization strategies
Ramandeep Sandhu, Mohammad Faiz, Harpreet Kaur, et al.
Cluster Computing (2024) Vol. 27, Iss. 5, pp. 6265-6288
Closed Access | Times Cited: 8
Stochastic analysis of fog computing and machine learning for scalable low-latency healthcare monitoring
Abdellah Amzil, Mohamed Abid, Mohamed Hanini, et al.
Cluster Computing (2024) Vol. 27, Iss. 5, pp. 6097-6117
Closed Access | Times Cited: 6
Blockchain-based reliable task offloading framework for edge-cloud cooperative workflows in IoMT
Juan Li, Mengyuan Zhu, Jin Liu, et al.
Information Sciences (2024) Vol. 668, pp. 120530-120530
Closed Access | Times Cited: 6
Dynamic task scheduling in edge cloud systems using deep recurrent neural networks and environment learning approaches
S.K. Ammavasai
Journal of Intelligent & Fuzzy Systems (2024), pp. 1-16
Closed Access | Times Cited: 5
Efficient Resource Allocation in Cloud Environment: A Hybrid Circle Chaotic Genetic Osprey Solution
K T Rajgopal, H. Manoj T. Gadiyar, Nagesh Shenoy H, et al.
Journal of Machine and Computing (2025), pp. 264-280
Closed Access
Migration of Applications and Information Systems to Cloud Computing Infrastructure: Lessons from a South African Retail Bank
Rabelani Dagada
Mousaion South African Journal of Information Studies (2025)
Closed Access
Resource Allocation Methods
Sakshi Patni, Deepika Saxena, Ashutosh Kumar Singh
(2025), pp. 49-66
Closed Access
AI-driven job scheduling in cloud computing: a comprehensive review
Yousef Sanjalawe, Salam Al-E’mari, F.M.A. Salam, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 7
Open Access
A New Approach to Cloud Resource Scheduling Using Genetic Reinforcement Kernel Optimization and Machine Learning Model
Anupam Yadav, Ashish Sharma
Concurrency and Computation Practice and Experience (2025) Vol. 37, Iss. 9-11
Closed Access
Resource allocation strategies and task scheduling algorithms for cloud computing: A systematic literature review
Waleed Kareem Awad, Khairul Akram Zainol Ariffin, Mohd Zakree Ahmad Nazri, et al.
Journal of Intelligent Systems (2025) Vol. 34, Iss. 1
Open Access
Secure workflow scheduling algorithm utilizing hybrid optimization in mobile edge computing environments
Dileep Kumar Sajnani, Xiaoping Li, Abdul Rasheed Mahesar
Computer Communications (2024) Vol. 226-227, pp. 107929-107929
Closed Access | Times Cited: 3
Securing the Cloud
Indu Bhardwaj, Suman Devi, Tarun Kumar
IGI Global eBooks (2025), pp. 325-342
Closed Access
Scheduling in Fog, Edge and Cloud Computing: A Review
Hadhemi Ben khalifa, Sahar Kallel, Ismael Bouassida Rodriguez
Lecture notes on data engineering and communications technologies (2025), pp. 390-398
Closed Access
EESF: Energy-Efficient Scheduling Framework for Deadline-Constrained Workflows with Computation Speed Estimation Method in Cloud
Rupinder Kaur, Gurjinder Kaur, Major Singh Goraya
Parallel Computing (2025), pp. 103139-103139
Closed Access
Optimization of teaching methods and allocation of learning resources under the background of big data
Zhao Xiaojuan
Journal of Computational Methods in Sciences and Engineering (2024) Vol. 24, Iss. 2, pp. 1025-1040
Closed Access | Times Cited: 2
Exploring swarm intelligence optimization techniques for task scheduling in cloud computing: algorithms, performance analysis, and future prospects
Farida Siddiqi Prity, K. M. Aslam Uddin, Nishu Nath
Iran Journal of Computer Science (2023) Vol. 7, Iss. 2, pp. 337-358
Closed Access | Times Cited: 6
Load Balancing Techniques in Cloud Computing
Veera Talukdar, Ardhariksa Zukhruf Kurniullah, Palak Keshwani, et al.
Advances in computer and electrical engineering book series (2024), pp. 105-134
Closed Access | Times Cited: 1
Green Computing-Based Digital Waste Management and Resource Allocation for Distributed Fog Data Centers
N. Manikandan, D. Franklin Vinod, R. Anto Arockia Rosaline, et al.
Advances in computational intelligence and robotics book series (2024), pp. 209-226
Closed Access | Times Cited: 1
DFARM: a deadline-aware fault-tolerant scheduler for cloud computing
Ahmed Bilal Awan, Muhammad Aleem, Altaf Hussain, et al.
Cluster Computing (2024) Vol. 27, Iss. 7, pp. 9323-9344
Closed Access | Times Cited: 1
Fault-tolerant allocation of deadline-constrained tasks through preemptive migration in heterogeneous cloud environments
Medha Kirti, Ashish Kumar Maurya, Rama Shankar Yadav
Cluster Computing (2024) Vol. 27, Iss. 8, pp. 11427-11454
Closed Access | Times Cited: 1
A hybrid evolutionary algorithm to improve task scheduling and load balancing in fog computing
Dongxian Yu, Weiyong Zheng
Cluster Computing (2024) Vol. 28, Iss. 1
Closed Access | Times Cited: 1
A narrative literature review on the economic impact of cloud computing: Opportunities and challenges
Surajit Mondal, Shankha Shubhra Goswami
Computing and artificial intelligence. (2024), pp. 1934-1934
Closed Access | Times Cited: 1
Entropy‐aware energy‐efficient virtual machine placement in cloud environments using type information
Tayebeh Sadat Mousavi, Achyut Shankar, Mohammad Hossein Rezvani, et al.
Concurrency and Computation Practice and Experience (2023) Vol. 36, Iss. 15
Closed Access | Times Cited: 3
A Group Genetic Algorithm for Energy-Efficient Resource Allocation in Container-Based Clouds with Heterogeneous Physical Machines
Zhengxin Fang, Hui Ma, Gang Chen, et al.
Lecture notes in computer science (2023), pp. 453-465
Closed Access | Times Cited: 2
Enhanced Linear Regression Models for Resource Usage Prediction in Dynamic Cloud Environments
Xiaoxiao Ma
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 1
Open Access
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