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:

Towards Accurate Prediction for High-Dimensional and Highly-Variable Cloud Workloads with Deep Learning
Zheyi Chen, Jia Hu, Geyong Min, et al.
IEEE Transactions on Parallel and Distributed Systems (2019) Vol. 31, Iss. 4, pp. 923-934
Open Access | Times Cited: 140

Showing 26-50 of 140 citing articles:

Accurate workload prediction for edge data centers: Savitzky-Golay filter, CNN and BiLSTM with attention mechanism
Lei Chen, Weiwen Zhang, Haiming Ye
Applied Intelligence (2022) Vol. 52, Iss. 11, pp. 13027-13042
Closed Access | Times Cited: 26

Technical Study of Deep Learning in Cloud Computing for Accurate Workload Prediction
Zaakki Ahamed, Maher Khemakhem, Fathy Eassa, et al.
Electronics (2023) Vol. 12, Iss. 3, pp. 650-650
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

A Survey of Cloud Resource Consumption Optimization Methods
Piotr Nawrocki, Mateusz Smendowski
Journal of Grid Computing (2025) Vol. 23, Iss. 1
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

Public Datasets for Cloud Computing: A Comprehensive Survey
Guozhi Liu, Weiwei Lin, Haotong Zhang, et al.
ACM Computing Surveys (2025)
Closed Access

An efficient prediction-based dynamic resource allocation framework in quantum cloud using knowledge-based offline reinforcement learning
K. Valarmathi, B. A. Mohammed Hashim, Navaneetha Krishnan S
Quantum Machine Intelligence (2025) Vol. 7, Iss. 1
Closed Access

CHPSO: An Efficient Algorithm for Task Scheduling and Optimizing Resource Utilization in the Cloud Environment
Hind Mikram, Said El Kafhali
Journal of Grid Computing (2025) Vol. 23, Iss. 2
Closed Access

Federated deep reinforcement learning based secure data sharing for Internet of Things
Qinyang Miao, Hui Lin, Xiaoding Wang, et al.
Computer Networks (2021) Vol. 197, pp. 108327-108327
Closed Access | Times Cited: 29

Accurate Prediction of Workloads and Resources With Multi-Head Attention and Hybrid LSTM for Cloud Data Centers
Jing Bi, Haisen Ma, Haitao Yuan, et al.
IEEE Transactions on Sustainable Computing (2023) Vol. 8, Iss. 3, pp. 375-384
Closed Access | Times Cited: 12

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

Design and Evaluation of a Hierarchical Characterization and Adaptive Prediction Model for Cloud Workloads
Karthick Seshadri, Korrapati Sindhu, S. Nagesh Bhattu, et al.
IEEE Transactions on Cloud Computing (2024) Vol. 12, Iss. 2, pp. 712-724
Closed Access | Times Cited: 4

TTSL: An indoor localization method based on Temporal Convolutional Network using time-series RSSI
Bing Jia, Jingbin Liu, Tao Feng, et al.
Computer Communications (2022) Vol. 193, pp. 293-301
Open Access | Times Cited: 18

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

A two-stage container management in the cloud for optimizing the load balancing and migration cost
Weiwen Zhang, Lei Chen, Jinzhou Luo, et al.
Future Generation Computer Systems (2022) Vol. 135, pp. 303-314
Closed Access | Times Cited: 16

PPCS: An Intelligent Privacy-Preserving Mobile-Edge Crowdsensing Strategy for Industrial IoT
Xiaoding Wang, Sahil Garg, Hui Lin, et al.
IEEE Internet of Things Journal (2020) Vol. 8, Iss. 13, pp. 10288-10298
Closed Access | Times Cited: 26

Cloud failure prediction based on traditional machine learning and deep learning
Tengku Nazmi Tengku Asmawi, Azlan Ismail, Jun Shen
Journal of Cloud Computing Advances Systems and Applications (2022) Vol. 11, Iss. 1
Open Access | Times Cited: 14

Ensemble CNN Attention-Based BiLSTM Deep Learning Architecture for Multivariate Cloud Workload Prediction
Ananya Kaim, Surjit Singh, Yashwant Singh Patel
(2023)
Closed Access | Times Cited: 8

PSO-Based Ensemble Meta-Learning Approach for Cloud Virtual Machine Resource Usage Prediction
Habte Lejebo Leka, Fengli Zhang, Ayantu Tesfaye Kenea, et al.
Symmetry (2023) Vol. 15, Iss. 3, pp. 613-613
Open Access | Times Cited: 8

VTGAN: hybrid generative adversarial networks for cloud workload prediction
Aya I. Maiyza, Noha Korany, Karim Banawan, et al.
Journal of Cloud Computing Advances Systems and Applications (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 8

Deep Actor–Critic Learning-Based Robustness Enhancement of Internet of Things
Ning Chen, Tie Qiu, Chaoxu Mu, et al.
IEEE Internet of Things Journal (2020) Vol. 7, Iss. 7, pp. 6191-6200
Closed Access | Times Cited: 22

DeepRest
Ka-Ho Chow, Umesh Deshpande, S. Seshadri, et al.
(2022), pp. 181-198
Closed Access | Times Cited: 13

On accurate prediction of cloud workloads with adaptive pattern mining
Liang Bao, Jin Yang, Zhengtong Zhang, et al.
The Journal of Supercomputing (2022) Vol. 79, Iss. 1, pp. 160-187
Closed Access | Times Cited: 13

Deep Reinforcement Learning for Workload Prediction in Federated Cloud Environments
Zaakki Ahamed, Maher Khemakhem, Fathy Eassa, et al.
Sensors (2023) Vol. 23, Iss. 15, pp. 6911-6911
Open Access | Times Cited: 7

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