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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:

Forecasting Cloud Application Workloads WithCloudInsightfor Predictive Resource Management
In Kee Kim, Wei Wang, Yanjun Qi, et al.
IEEE Transactions on Cloud Computing (2020) Vol. 10, Iss. 3, pp. 1848-1863
Closed Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

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
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
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
Resource Allocation With Workload-Time Windows for Cloud-Based Software Services: A Deep Reinforcement Learning Approach
Xing Chen, Lijian Yang, Zheyi Chen, et al.
IEEE Transactions on Cloud Computing (2022) Vol. 11, Iss. 2, pp. 1871-1885
Closed Access | Times Cited: 30
FAST: A Forecasting Model With Adaptive Sliding Window and Time Locality Integration for Dynamic Cloud Workloads
Binbin Feng, Zhijun Ding, Changjun Jiang
IEEE Transactions on Services Computing (2022) Vol. 16, Iss. 2, pp. 1184-1197
Closed Access | Times Cited: 26
Workflow performance prediction based on graph structure aware deep attention neural network
Jixiang Yu, Ming Gao, Yuchan Li, et al.
Journal of Industrial Information Integration (2022) Vol. 27, pp. 100337-100337
Open Access | Times Cited: 23
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
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
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
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
COIN: A Container Workload Prediction Model Focusing on Common and Individual Changes in Workloads
Zhijun Ding, Binbin Feng, Changjun Jiang
IEEE Transactions on Parallel and Distributed Systems (2022) Vol. 33, Iss. 12, pp. 4738-4751
Closed Access | Times Cited: 15
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
Enhancing Long-Term Cloud Workload Forecasting Framework: Anomaly Handling and Ensemble Learning in Multivariate Time Series
Yeongmin Kim, Seunghwan Song, Byoung-Mo Koo, et al.
IEEE Transactions on Cloud Computing (2024) Vol. 12, Iss. 2, pp. 789-799
Closed Access | Times Cited: 2
Evaluating machine learning prediction techniques and their impact on proactive resource provisioning for cloud environments
Dionatrã F. Kirchoff, Vinícius Meyer, Rodrigo N. Calheiros, et al.
The Journal of Supercomputing (2024) Vol. 80, Iss. 15, pp. 21920-21951
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
Workload Time Series Cumulative Prediction Mechanism for Cloud Resources Using Neural Machine Translation Technique
Mustafa M. Al-Sayed
Journal of Grid Computing (2022) Vol. 20, Iss. 2
Open Access | Times Cited: 12
GROUP: An End-to-end Multi-step-ahead Workload Prediction Approach Focusing on Workload Group Behavior
Binbin Feng, Zhijun Ding
Proceedings of the ACM Web Conference 2022 (2023), pp. 3098-3108
Closed Access | Times Cited: 6
workload forecasting and resource management models based on machine learning for cloud computing environments
Deepika Saxena, Ashutosh Kumar Singh
arXiv (Cornell University) (2021)
Open Access | Times Cited: 13
PSO-GA-Based Resource Allocation Strategy for Cloud-Based Software Services With Workload-Time Windows
Zheyi Chen, Lijian Yang, Yinhao Huang, et al.
IEEE Access (2020) Vol. 8, pp. 151500-151510
Open Access | Times Cited: 14
Cdascaler: a cost-effective dynamic autoscaling approach for containerized microservices
Numan Shafi, Muhammad Abdullah, Waheed Iqbal, et al.
Cluster Computing (2024) Vol. 27, Iss. 4, pp. 5195-5215
Closed Access | Times Cited: 1
Parallel Task Scheduling in Autonomous Robotic Systems: An Event-Driven Multimodal Prediction Approach
Wen Gao, Zhiwen Yu, Hui Xiong, et al.
(2024), pp. 742-751
Open 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
DECCo-A Dynamic Task Scheduling Framework for Heterogeneous Drone Edge Cluster
Zhiyang Zhang, Dié Wu, Fengli Zhang, et al.
Drones (2023) Vol. 7, Iss. 8, pp. 513-513
Open Access | Times Cited: 3
SLA-aware Stochastic Load Balancing in Dynamic Cloud Environment
Sounak Banerjee, Sarbani Roy, Sunirmal Khatua
Journal of Grid Computing (2021) Vol. 19, Iss. 4
Closed Access | Times Cited: 7
Intelligent scaling for 6G IoE services for resource provisioning
Abdullah Alharbi, Hashem Alyami, M. Poongodi, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e755-e755
Open Access | Times Cited: 6
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