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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:

Multi-level Federated Learning for Industry 4.0 - A Crowdsourcing Approach
Ihsan Ullah, Umair ul Hassan, Muhammad Intizar Ali
Procedia Computer Science (2023) Vol. 217, pp. 423-435
Open Access | Times Cited: 11

Showing 11 citing articles:

Federated learning-empowered smart manufacturing and product lifecycle management: A review
Jiewu Leng, Richard Li, Junxing Xie, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103179-103179
Closed Access | Times Cited: 1
Federated learning: Applications, Security hazards and Defense measures
Sonam Tyagi, Ishwari Singh Rajput, Richa Pandey
(2023), pp. 477-482
Closed Access | Times Cited: 16
A contemporary survey of recent advances in federated learning: Taxonomies, applications, and challenges
Mohammed H. Alsharif, Raju Kannadasan, Wei Wei, et al.
Internet of Things (2024) Vol. 27, pp. 101251-101251
Closed Access | Times Cited: 5
Resource-Efficient Clustered Federated Learning Framework for Industry 4.0 Edge Devices
Atallo Kassaw Takele, Balázs Villányi
AI (2025) Vol. 6, Iss. 2, pp. 30-30
Open Access
Exploring the Potential of Cyber Manufacturing System in the Digital Age
Usman Ahmed, Jerry Chun‐Wei Lin, Gautam Srivastava
ACM Transactions on Internet Technology (2023) Vol. 23, Iss. 4, pp. 1-38
Closed Access | Times Cited: 4
Multi-View Ensemble Federated Learning for Efficient Prediction of Consumer Electronics Applications in Fog Networks
Rupali Patole, Neha Singh, Mainak Adhikari, et al.
IEEE Transactions on Consumer Electronics (2023) Vol. 70, Iss. 1, pp. 4597-4604
Closed Access | Times Cited: 4
eFedGauss: A Federated Approach to Fuzzy Multivariate Gaussian Clustering
Miha Ožbot, Seiichi Ozawa, Igor Škrjanc
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2024), pp. 1-8
Closed Access | Times Cited: 1
Exploring Activity Recognition in Multi-device Environments using Hierarchical Federated Learning
Muhammad Moid Sandhu, David Silvera‐Tawil, Wei Lü, et al.
2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (2024), pp. 720-726
Closed Access
Analysis of machine learning-based approaches for securing the Internet of Things in the smart industry: a multivocal state of knowledge review
Ricardo Emmanuel Reyes-Acosta, Carlos-Alberto Domínguez-Báez, Ricardo Mendoza-González, et al.
International Journal of Information Security (2024) Vol. 24, Iss. 1
Closed Access
A Review on Advancing Cybersecurity Frameworks by Integrating Machine Intelligence with Federated Learning
Vaibhavi Patil, Jhankar Moolchandani, Ashutosh Kumar Dubey
(2024), pp. 180-187
Closed Access
Developing an Integrated IoT Cloud Based Predictive Conservation Model for Asset Management in Industry 4.0
K. Shanmugam, Kachhti Satyam, T. Sreenivasula Reddy
Journal of Social Computing (2023) Vol. 4, Iss. 2, pp. 139-149
Open Access | Times Cited: 1
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