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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 Quantum Approach Towards the Adaptive Prediction of Cloud Workloads
Ashutosh Kumar Singh, Deepika Saxena, Jitendra Kumar, et al.
IEEE Transactions on Parallel and Distributed Systems (2021) Vol. 32, Iss. 12, pp. 2893-2905
Open Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

A Secure and Multiobjective Virtual Machine Placement Framework for Cloud Data Center
Deepika Saxena, Ishu Gupta, Jitendra Kumar, et al.
IEEE Systems Journal (2021) Vol. 16, Iss. 2, pp. 3163-3174
Open Access | Times Cited: 97
esDNN: Deep Neural Network Based Multivariate Workload Prediction in Cloud Computing Environments
Minxian Xu, Chenghao Song, Huaming Wu, et al.
ACM Transactions on Internet Technology (2022) Vol. 22, Iss. 3, pp. 1-24
Open Access | Times Cited: 63
A Fault Tolerant Elastic Resource Management Framework Toward High Availability of Cloud Services
Deepika Saxena, Ishu Gupta, Ashutosh Kumar Singh, et al.
IEEE Transactions on Network and Service Management (2022) Vol. 19, Iss. 3, pp. 3048-3061
Open Access | Times Cited: 45
Performance Analysis of Machine Learning Centered Workload Prediction Models for Cloud
Deepika Saxena, Jitendra Kumar, Ashutosh Kumar Singh, et al.
IEEE Transactions on Parallel and Distributed Systems (2023) Vol. 34, Iss. 4, pp. 1313-1330
Open Access | Times Cited: 39
A review on quantum computing and deep learning algorithms and their applications
Fevrier Valdez, Patricia Melín
Soft Computing (2022) Vol. 27, Iss. 18, pp. 13217-13236
Open Access | Times Cited: 35
Multivariate workload and resource prediction in cloud computing using CNN and GRU by attention mechanism
Javad Dogani, Farshad Khunjush, Mohammad Reza Mahmoudi, et al.
The Journal of Supercomputing (2022) Vol. 79, Iss. 3, pp. 3437-3470
Closed Access | Times Cited: 35
An AI-Driven VM Threat Prediction Model for Multi-Risks Analysis-Based Cloud Cybersecurity
Deepika Saxena, Ishu Gupta, Rishabh Gupta, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 11, pp. 6815-6827
Open Access | Times Cited: 20
A sustainable and secure load management model for green cloud data centres
Deepika Saxena, Ashutosh Kumar Singh, Chung‐Nan Lee, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 17
OFP-TM: an online VM failure prediction and tolerance model towards high availability of cloud computing environments
Deepika Saxena, Ashutosh Kumar Singh
The Journal of Supercomputing (2022) Vol. 78, Iss. 6, pp. 8003-8024
Open Access | Times Cited: 25
A High Availability Management Model Based on VM Significance Ranking and Resource Estimation for Cloud Applications
Deepika Saxena, Ashutosh Kumar Singh
IEEE Transactions on Services Computing (2022), pp. 1-12
Open Access | Times Cited: 25
Nature-Inspired Intelligent Computing: A Comprehensive Survey
Licheng Jiao, Jiaxuan Zhao, Chao Wang, et al.
Research (2024) Vol. 7
Open Access | Times Cited: 5
ARIMA-Based and Multiapplication Workload Prediction With Wavelet Decomposition and Savitzky–Golay Filter in Clouds
Jing Bi, Haitao Yuan, Shuang Li, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 4, pp. 2495-2506
Closed Access | Times Cited: 4
QDPformer: Quantum-Driven Workload Prediction Model Based on Transformer
Zhaoyang Cui, Shaoyuan Huang, Cheng Zhang, et al.
Lecture notes in computer science (2025), pp. 435-447
Closed Access
EvoGWP: Predicting Long-Term Changes in Cloud Workloads Using Deep Graph-Evolution Learning
Jialun Li, Jieqian Yao, Danyang Xiao, et al.
IEEE Transactions on Parallel and Distributed Systems (2024) Vol. 35, Iss. 3, pp. 499-516
Closed Access | Times Cited: 4
Multivariate time series ensemble model for load prediction on hosts using anomaly detection techniques
Shabnam Bawa, Prashant Singh Rana, Rajkumar Tekchandani
Cluster Computing (2024) Vol. 27, Iss. 8, pp. 10993-11016
Closed Access | Times Cited: 4
Symmetry-Aware Multi-Dimensional Attention Spiking Neural Network with Optimization Techniques for Accurate Workload and Resource Time Series Prediction in Cloud Computing Systems
Thulasi Karpagam, K. Jayashree
Symmetry (2025) Vol. 17, Iss. 3, pp. 383-383
Open Access
Credit Card Fraud Detection using Machine Learning: A Study
Pooja Tiwari, Simran Mehta, Nishtha Sakhuja, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 25
Cloud Workload Turning Points Prediction via Cloud Feature-Enhanced Deep Learning
Li Ruan, Yu Bai, Shaoning Li, et al.
IEEE Transactions on Cloud Computing (2022) Vol. 11, Iss. 2, pp. 1719-1732
Closed Access | Times Cited: 17
Emerging VM Threat Prediction and Dynamic Workload Estimation for Secure Resource Management in Industrial Clouds
Deepika Saxena, Rishabh Gupta, Ashutosh Kumar Singh, et al.
IEEE Transactions on Automation Science and Engineering (2023) Vol. 21, Iss. 4, pp. 5837-5851
Closed Access | Times Cited: 10
Explainable hybrid quantum neural networks for analyzing the influence of tweets on stock price prediction
Manoranjan Gandhudi, Alphonse P.J.A., Ugo Fiore, et al.
Computers & Electrical Engineering (2024) Vol. 118, pp. 109302-109302
Closed Access | Times Cited: 3
Performance evaluation of metaheuristics algorithms for workload prediction in cloud environment
Jitendra Kumar, Ashutosh Kumar Singh
Applied Soft Computing (2021) Vol. 113, pp. 107895-107895
Closed Access | Times Cited: 20
COSCO2 : AI ‐augmented evolutionary algorithm based workload prediction framework for sustainable cloud data centers
R. Karthikeyan, V. Balamurugan, Robin Cyriac, et al.
Transactions on Emerging Telecommunications Technologies (2022) Vol. 34, Iss. 1
Closed Access | Times Cited: 15
Quantum Machine Learning for Next-G Wireless Communications: Fundamentals and the Path Ahead
Bhaskara Narottama, Zina Mohamed, Sonia Aı̈ssa
IEEE Open Journal of the Communications Society (2023) Vol. 4, pp. 2204-2224
Open Access | Times Cited: 8
An Intelligent Traffic Entropy Learning-Based Load Management Model for Cloud Networks
Deepika Saxena, Ashutosh Kumar Singh
IEEE Networking Letters (2022) Vol. 4, Iss. 2, pp. 59-63
Closed Access | Times Cited: 13
A Comprehensive Survey on Sustainable Resource Management in Cloud Computing Environments
Deepika Saxena, Ashutosh Kumar Singh
(2024)
Open Access | Times Cited: 2
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