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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:

HANSEL: Adaptive horizontal scaling of microservices using Bi-LSTM
Ming Yan, Xiaomeng Liang, Zhihui Lu, et al.
Applied Soft Computing (2021) Vol. 105, pp. 107216-107216
Closed Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions
Zhiheng Zhong, Minxian Xu, Maria A. Rodriguez, et al.
ACM Computing Surveys (2022) Vol. 54, Iss. 10s, pp. 1-35
Open Access | Times Cited: 71
AmazonAICloud: proactive resource allocation using amazon chronos based time series model for sustainable cloud computing
Han Wang, Katie Mathews, Muhammed Golec, et al.
Computing (2025) Vol. 107, Iss. 3
Closed Access | Times Cited: 1
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: 26
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
CloudAIBus: a testbed for AI based cloud computing environments
S. Velu, Sukhpal Singh Gill, Subramaniam Subramanian Murugesan, et al.
Cluster Computing (2024)
Closed Access | Times Cited: 7
Deep Learning-Based Autoscaling Using Bidirectional Long Short-Term Memory for Kubernetes
Nhat-Minh Dang-Quang, Myungsik Yoo
Applied Sciences (2021) Vol. 11, Iss. 9, pp. 3835-3835
Open Access | Times Cited: 44
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
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
Time series forecasting-based Kubernetes autoscaling using Facebook Prophet and Long Short-Term Memory
Pasan Bhanu Guruge, Y.H.P.P. Priyadarshana
Frontiers in Computer Science (2025) Vol. 7
Open Access
Proactive auto-scaling technique for web applications in container-based edge computing using federated learning model
Javad Dogani, Farshad Khunjush
Journal of Parallel and Distributed Computing (2024) Vol. 187, pp. 104837-104837
Closed Access | Times Cited: 4
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
A multivariate transformer-based monitor-analyze-plan-execute (MAPE) autoscaling framework for dynamic resource allocation in cloud environment
Bablu Kumar, Anshul Verma, Pradeepika Verma
Computing (2025) Vol. 107, Iss. 3
Closed Access
An Efficient Multivariate Autoscaling Framework Using Bi-LSTM for Cloud Computing
Nhat-Minh Dang-Quang, Myungsik Yoo
Applied Sciences (2022) Vol. 12, Iss. 7, pp. 3523-3523
Open Access | Times Cited: 19
New mist-edge-fog-cloud system architecture for thermal error prediction and control enabled by deep-learning
Hongquan Gui, Jialan Liu, Chi Ma, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 109, pp. 104626-104626
Closed Access | Times Cited: 16
A review of microservices autoscaling with formal verification perspective
Siti Nuraishah Agos Jawaddi, Muhammad Hamizan Johari, Azlan Ismail
Software Practice and Experience (2022) Vol. 52, Iss. 11, pp. 2476-2495
Closed Access | Times Cited: 14
K-AGRUED: A Container Autoscaling Technique for Cloud-based Web Applications in Kubernetes Using Attention-based GRU Encoder-Decoder
Javad Dogani, Farshad Khunjush, Mehdi Seydali
Journal of Grid Computing (2022) Vol. 20, Iss. 4
Closed Access | Times Cited: 13
DeepRest
Ka-Ho Chow, Umesh Deshpande, S. Seshadri, et al.
(2022), pp. 181-198
Closed Access | Times Cited: 12
A Survey on Graph Neural Networks for Microservice-Based Cloud Applications
Hoa Xuan Nguyen, Shaoshu Zhu, Mingming Liu
Sensors (2022) Vol. 22, Iss. 23, pp. 9492-9492
Open Access | Times Cited: 12
An Adaptive Heterogeneous Credit Card Fraud Detection Model Based on Deep Reinforcement Training Subset Selection
Kun Zhu, Nana Zhang, Weiping Ding, et al.
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 8, pp. 4026-4041
Closed Access | Times Cited: 2
Q-IoT: QoS-Aware Multilayer Service Architecture for Multiclass IoT Data Traffic Management
Kemal Çağrı Serdaroğlu, Şebnem Baydere, Boonyarith Saovapakhiran, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 17, pp. 28330-28340
Closed Access | Times Cited: 2
Identification of the number of leaks in water supply pipes based on wavelet scattering network and Bi-LSTM model with Bayesian optimization
Hongjin Liu, Niannian Wang, Hongyuan Fang, et al.
Measurement (2024), pp. 116348-116348
Closed Access | Times Cited: 2
On revisiting energy and performance in microservices applications: A cloud elasticity-driven approach
Igor Fontana de Nardin, Rodrigo da Rosa Righi, Thiago Roberto Lima Lopes, et al.
Parallel Computing (2021) Vol. 108, pp. 102858-102858
Closed Access | Times Cited: 16
KAE-Informer: A Knowledge Auto-Embedding Informer for Forecasting Long-Term Workloads of Microservices
Qin Hua, Dingyu Yang, Shiyou Qian, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 1551-1561
Closed Access | Times Cited: 6
Real-Time Monitoring and Management of Hardware and Software Resources in Heterogeneous Computer Networks through an Integrated System Architecture
Constantin Lucian Aldea, Răzvan Bocu, Robert Nicolae Solca
Symmetry (2023) Vol. 15, Iss. 6, pp. 1134-1134
Open Access | Times Cited: 6
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