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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:

Self directed learning based workload forecasting model for cloud resource management
Jitendra Kumar, Ashutosh Kumar Singh, Rajkumar Buyya
Information Sciences (2020) Vol. 543, pp. 345-366
Closed Access | Times Cited: 91

Showing 1-25 of 91 citing articles:

Machine learning (ML)-centric resource management in cloud computing: A review and future directions
Tahseen Khan, Wenhong Tian, Guangyao Zhou, et al.
Journal of Network and Computer Applications (2022) Vol. 204, pp. 103405-103405
Open Access | Times Cited: 97
AI-Based Resource Provisioning of IoE Services in 6G: A Deep Reinforcement Learning Approach
Hani Sami, Hadi Otrok, Jamal Bentahar, et al.
IEEE Transactions on Network and Service Management (2021) Vol. 18, Iss. 3, pp. 3527-3540
Closed Access | Times Cited: 88
A new QoS prediction model using hybrid IOWA-ANFIS with fuzzy C-means, subtractive clustering and grid partitioning
Walayat Hussain, José M. Merigó, M. Rehan Raza, et al.
Information Sciences (2021) Vol. 584, pp. 280-300
Closed Access | Times Cited: 71
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
SG-PBFS: Shortest Gap-Priority Based Fair Scheduling technique for job scheduling in cloud environment
Saydul Akbar Murad, Zafril Rizal M Azmi, Abu Jafar Md Muzahid, et al.
Future Generation Computer Systems (2023) Vol. 150, pp. 232-242
Closed Access | Times Cited: 23
Modeling interactions between the embodied and the narrative self: Dynamics of the self-pattern within LIDA
Alexander Hölken, Sean Kugele, Albert Newen, et al.
Cognitive Systems Research (2023) Vol. 81, pp. 25-36
Closed Access | Times Cited: 21
Real-time and dynamic fault-tolerant scheduling for scientific workflows in clouds
Zhongjin Li, Victor Chang, Haiyang Hu, et al.
Information Sciences (2021) Vol. 568, pp. 13-39
Open Access | Times Cited: 39
Optimized Hierarchical Tree Deep Convolutional Neural Network of a Tree-Based Workload Prediction Scheme for Enhancing Power Efficiency in Cloud Computing
C. Thirumalai Selvan, Vadim Bolshev, Siva Shankar Subramanian, et al.
Energies (2023) Vol. 16, Iss. 6, pp. 2900-2900
Open Access | Times Cited: 14
Prediction-based scheduling techniques for cloud data center’s workload: a systematic review
Shobhana Kashyap, Avtar Singh
Cluster Computing (2023) Vol. 26, Iss. 5, pp. 3209-3235
Closed Access | Times Cited: 14
Enhancing the output of time series forecasting algorithms for cloud resource provisioning
Ferran López, Alberto Gutierrez-Torre, Jordi Torres, et al.
Future Generation Computer Systems (2025), pp. 107833-107833
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
Construction of an Online Autonomous Learning Model Based on Artificial Intelligence ChatGPT
Aimin Li, Chenming Yang
Lecture notes in networks and systems (2025), pp. 92-104
Closed Access
A deep learning-based resource usage prediction model for resource provisioning in an autonomic cloud computing environment
Mahfoudh Saeed Al-Asaly, Mohamed A. Bencherif, Ahmed Alsanad, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 13, pp. 10211-10228
Closed Access | Times Cited: 31
RETRACTED ARTICLE: Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning algorithm
Moses Ashawa, Oyakhire Douglas, Jude Osamor, et al.
Journal of Cloud Computing Advances Systems and Applications (2022) Vol. 11, Iss. 1
Open Access | Times Cited: 20
Data-driven strategies in operation management: mining user-generated content in Twitter
José Ramón Saura, Domingo Ribeiro Soriano, Daniel Palacios‐Marqués
Annals of Operations Research (2022) Vol. 333, Iss. 2-3, pp. 849-869
Open Access | Times Cited: 19
A Novel Hybrid Model for Docker Container Workload Prediction
Liangkang Zhang, Yulai Xie, Minpeng Jin, et al.
IEEE Transactions on Network and Service Management (2023) Vol. 20, Iss. 3, pp. 2726-2743
Closed Access | Times Cited: 11
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
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
An IoT-based resource utilization framework using data fusion for smart environments
Dina Fawzy, Sherin Moussa, Nagwa Badr
Internet of Things (2022) Vol. 21, pp. 100645-100645
Open Access | Times Cited: 16
ELASTIC: Edge Workload Forecasting based on Collaborative Cloud-Edge Deep Learning
Yanan Li, Haitao Yuan, Zhe Fu, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 3056-3066
Closed Access | Times Cited: 10
Intelligent and survivable resource slicing for 6G-oriented UAV-assisted edge computing networks
Guoquan Wu, Bing Zhang, Ya Li
Computer Communications (2023) Vol. 202, pp. 154-165
Closed Access | Times Cited: 9
Decomposition Based Cloud Resource Demand Prediction Using Extreme Learning Machines
Jitendra Kumar, Ashutosh Kumar Singh
Journal of Network and Systems Management (2020) Vol. 28, Iss. 4, pp. 1775-1793
Closed Access | Times Cited: 27
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
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