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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:

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

Showing 1-25 of 39 citing articles:

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
Explainable AI Empowered Resource Management for Enhanced Communication Efficiency in Hierarchical Federated Learning
Sakshi Patni, Joohyung Lee
Computers & Electrical Engineering (2024) Vol. 117, pp. 109260-109260
Closed 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
Prediction of Workloads in Cloud using ARIMA-ANN
S. Suriya, M. Senthil Kumaran
Journal of ISMAC (2025) Vol. 6, Iss. 4, pp. 327-342
Closed Access
A hybrid neural network and cooperative PSO model for dynamic cloud workloads prediction
Jitendra Kumar, Deepika Saxena, Jatinder Kumar, et al.
Computing (2025) Vol. 107, Iss. 3
Closed Access
Workload Prediction in Cloud Data Centers Using Complex‐Valued Spatio‐Temporal Graph Convolutional Neural Network Optimized With Gazelle Optimization Algorithm
R. Karthikeyan, A. Saleem Raja, V. Balamurugan, et al.
Transactions on Emerging Telecommunications Technologies (2025) Vol. 36, Iss. 3
Closed Access
Optimized Bayesian tensorized neural network affording task failure prediction in cloud environment
Senthil Kumar Avinashi Malleswaran, Kalimuthu Marimuthu, Philippe Robert, et al.
Expert Systems with Applications (2025), pp. 127538-127538
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
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
A Comprehensive Survey on Sustainable Resource Management in Cloud Computing Environments
Deepika Saxena, Ashutosh Kumar Singh
(2024)
Open Access | Times Cited: 2
Simulators for system dataset generation in the Edge-to-Cloud Continuum
Ali Nawaz, Gianluca Aloi, Pasquale Pace, et al.
(2024), pp. 583-588
Closed Access | Times Cited: 2
DuCFF: A Dual-Channel Feature-Fusion Network for Workload Prediction in a Cloud Infrastructure
Kai Jia, Jun Xiang, Baoxia Li
Electronics (2024) Vol. 13, Iss. 18, pp. 3588-3588
Open Access | Times Cited: 2
A Review on Secure Cloud Resource Management
Sakshi Chhabra, Deepika Saxena, Smruti Rekha
(2023)
Open Access | Times Cited: 5
An effective partition-based framework for virtual machine migration in cloud services
L.X. Yun X. Zhang Z.H. Luo, S. Wei, Hua Tang, et al.
Cluster Computing (2024) Vol. 27, Iss. 9, pp. 12899-12917
Closed Access | Times Cited: 1
Deep Learning-based Workload Prediction in Cloud Computing to Enhance the Performance
Sujay Bansal, Mohit Kumar
(2023), pp. 635-640
Closed Access | Times Cited: 4
A feature extraction and time warping based neural expansion architecture for cloud resource usage forecasting
Gurjot Singh, Prajit Sengupta, Anant Mehta, et al.
Cluster Computing (2024) Vol. 27, Iss. 4, pp. 4963-4982
Closed Access | Times Cited: 1
Predictive resource allocation and VNF deployment using ensemble learning
Sudha Dubba, Shreyansh Gupta, Balaprakasa Rao Killi
Multimedia Tools and Applications (2024) Vol. 83, Iss. 34, pp. 80641-80666
Closed Access | Times Cited: 1
Application-Oriented Cloud Workload Prediction: A Survey and New Perspectives
Binbin Feng, Zhijun Ding
Tsinghua Science & Technology (2024) Vol. 30, Iss. 1, pp. 34-54
Closed Access | Times Cited: 1
Benchmarking and revisiting time series forecasting methods in cloud workload prediction
Shengsheng Lin, Weiwei Lin, Feiyu Zhao, et al.
Cluster Computing (2024) Vol. 28, Iss. 1
Closed Access | Times Cited: 1
ADAPT: Attention-Driven Domain Adaptation for Inter-cluster Workload Forecasting in Cloud Data Centers
Nosin Ibna Mahbub, Afsana Kabir Sinthia, Min-Cheol Jeon, et al.
Lecture notes in computer science (2024), pp. 56-68
Closed Access | Times Cited: 1
A Review on Sustainable Resource Management in Cloud Environment
Jitendra Kumar, Deepika Saxena, Smruti Rekha
(2023)
Open Access | Times Cited: 2
A Review Of Fault-Tolerant Data Aggregation Schemes For Smart Grid Environment
Pooja Rani, Smruti Rekha Swain
(2024)
Open Access
Bayesian-Driven Automated Scaling in Stream Computing With Multiple QoS Targets
L.L. Zhang, Wenli Zheng, Kuangyu Zheng, et al.
IEEE Transactions on Parallel and Distributed Systems (2024) Vol. 35, Iss. 7, pp. 1251-1267
Closed Access
The Use of the BP Neural Network Model in Risk and Return Assessment of Investment Projects for Engineering Management
Youwen Zhong, Zhang Hui-fang, Xiaoling Wu
Transactions on Economics Business and Management Research (2024) Vol. 8, pp. 94-100
Open Access
Boosted regression for predicting CPU utilization in the cloud with periodicity
Khanh Nguyen Quoc, Van Tong, Cuong Dao, et al.
The Journal of Supercomputing (2024) Vol. 80, Iss. 18, pp. 26036-26060
Closed Access
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