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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:

Horizontal Pod Autoscaling in Kubernetes for Elastic Container Orchestration
Thanh-Tung Nguyen, Yu-Jin Yeom, Taehong Kim, et al.
Sensors (2020) Vol. 20, Iss. 16, pp. 4621-4621
Open Access | Times Cited: 127

Showing 1-25 of 127 citing articles:

Kubernetes Scheduling: Taxonomy, Ongoing Issues and Challenges
M. Carmen Carrión
ACM Computing Surveys (2022) Vol. 55, Iss. 7, pp. 1-37
Closed Access | Times Cited: 102
A comprehensive review of leveraging cloud-native technologies for scalability and resilience in software development
Oyekunle Claudius Oyeniran, Oluwole Temidayo Modupe, Aanuoluwapo Ayodeji Otitoola, et al.
International Journal of Science and Research Archive (2024) Vol. 11, Iss. 2, pp. 330-337
Open Access | Times Cited: 21
Auto-scaling techniques in container-based cloud and edge/fog computing: Taxonomy and survey
Javad Dogani, Reza Namvar, Farshad Khunjush
Computer Communications (2023) Vol. 209, pp. 120-150
Closed Access | Times Cited: 28
Edge AI: A Taxonomy, Systematic Review and Future Directions
Sukhpal Singh Gill, Muhammed Golec, Jianmin Hu, et al.
Cluster Computing (2024) Vol. 28, Iss. 1
Closed Access | Times Cited: 11
Traffic-Aware Horizontal Pod Autoscaler in Kubernetes-Based Edge Computing Infrastructure
Le Hoang Phuc, Linh-An Phan, Taehong Kim
IEEE Access (2022) Vol. 10, pp. 18966-18977
Open Access | Times Cited: 34
Cloud-Native Computing: A Survey From the Perspective of Services
Shuiguang Deng, Hailiang Zhao, Binbin Huang, et al.
Proceedings of the IEEE (2024) Vol. 112, Iss. 1, pp. 12-46
Open Access | Times Cited: 7
A Deep Recurrent-Reinforcement Learning Method for Intelligent AutoScaling of Serverless Functions
S. Agarwal, Maria A. Rodriguez, Rajkumar Buyya
IEEE Transactions on Services Computing (2024) Vol. 17, Iss. 5, pp. 1899-1910
Open Access | Times Cited: 6
Kubernetes distributions for the edge: serverless performance evaluation
Vojdan Kjorveziroski, Sonja Filiposka
The Journal of Supercomputing (2022) Vol. 78, Iss. 11, pp. 13728-13755
Closed Access | Times Cited: 27
Stable and efficient resource management using deep neural network on cloud computing
Byeonghui Jeong, Seungyeon Baek, Sihyun Park, et al.
Neurocomputing (2022) Vol. 521, pp. 99-112
Closed Access | Times Cited: 27
A Time Series-Based Approach to Elastic Kubernetes Scaling
Haibin Yuan, Shengchen Liao
Electronics (2024) Vol. 13, Iss. 2, pp. 285-285
Open Access | Times Cited: 5
Tuning a Kubernetes Horizontal Pod Autoscaler for Meeting Performance and Load Demands in Cloud Deployments
Dariusz Augustyn, Łukasz Wyciślik, Mateusz Sojka
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 646-646
Open Access | Times Cited: 5
ScalableDigitalHealth (SDH): An IoT-Based Scalable Framework for Remote Patient Monitoring
Hisham Alasmary
Sensors (2024) Vol. 24, Iss. 4, pp. 1346-1346
Open Access | Times Cited: 5
Optimizing resource allocation using proactive scaling with predictive models and custom resources
Bablu Kumar, Anshul Verma, Pradeepika Verma
Computers & Electrical Engineering (2024) Vol. 118, pp. 109419-109419
Closed Access | Times Cited: 4
Adaptive horizontal scaling in kubernetes clusters with ANN-based load forecasting
Lucileide M. D. da Silva, Pedro V. A. Alves, Sérgio N. Silva, et al.
Cluster Computing (2025) Vol. 28, Iss. 3
Closed Access
Development of an autonomous Internet of Things system for distributed production of boxed flat sheet metal parts in railcar manufacturing
Alice Elizabeth Matenga, Khumbulani Mpofu
The Journal of Engineering (2025) Vol. 2025, Iss. 1
Open Access
Künstliche Intelligenz in der Prognose von extremen Wetterereignissen
Simon Frentrup, Miriam Kümmel, Juliana Koltermann da Silva, et al.
Organisationskompetenz Zukunftsfähigkeit (2025), pp. 309-326
Closed Access
Maximizing Efficiency: Unveiling the Potential of Kubernetes Metrics
Josephine Eskaline Joyce, Shoney Sebastian
Lecture notes in electrical engineering (2025), pp. 31-44
Closed Access
Towards resource-efficient reactive and proactive auto-scaling for microservice architectures
Hussain Ahmad, Christoph Treude, Markus Wagner, et al.
Journal of Systems and Software (2025), pp. 112390-112390
Open Access
Scaling UPF Instances in 5G/6G Core With Deep Reinforcement Learning
Hai T. Nguyen, Tien Van Do, Csaba Rotter
IEEE Access (2021) Vol. 9, pp. 165892-165906
Open Access | Times Cited: 31
Predictive Hybrid Autoscaling for Containerized Applications
Dinh-Dai Vu, Minh-Ngoc Tran, Younghan Kim
IEEE Access (2022) Vol. 10, pp. 109768-109778
Open Access | Times Cited: 20
A Survey of Autoscaling in Kubernetes
Minh-Ngoc Tran, Dinh-Dai Vu, Younghan Kim
2022 Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN) (2022)
Closed Access | Times Cited: 19
Predicting CPU usage for proactive autoscaling
Thomas J. Wang, Simone Ferlin, Marco Chiesa
(2021)
Closed Access | Times Cited: 24
SLO Script: A Novel Language for Implementing Complex Cloud-Native Elasticity-Driven SLOs
Thomas Pusztai, Andrea Morichetta, Víctor Casamayor Pujol, et al.
(2021), pp. 21-31
Closed Access | Times Cited: 24
A Novel Middleware for Efficiently Implementing Complex Cloud-Native SLOs
Thomas Pusztai, Andrea Morichetta, Víctor Casamayor Pujol, et al.
(2021)
Closed Access | Times Cited: 23
Load-Balancing of Kubernetes-Based Edge Computing Infrastructure Using Resource Adaptive Proxy
Quang-Minh Nguyen, Linh-An Phan, Taehong Kim
Sensors (2022) Vol. 22, Iss. 8, pp. 2869-2869
Open Access | Times Cited: 18
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