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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:

Anomaly Detection of IoT Cyberattacks in Smart Cities Using Federated Learning and Split Learning
Ishaani Priyadarshini
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 3, pp. 21-21
Open Access | Times Cited: 11

Showing 11 citing articles:

CoralMatrix: A Scalable and Robust Secure Framework for Enhancing IoT Cybersecurity
Srikanth Reddy Vutukuru, Srinivasa Chakravarthi Lade
International Journal of Computational and Experimental Science and Engineering (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 10
A Literature Review on Security in the Internet of Things: Identifying and Analysing Critical Categories
Hannelore Sebestyen, Daniela Elena Popescu, Doina Zmaranda
Computers (2025) Vol. 14, Iss. 2, pp. 61-61
Open Access | Times Cited: 1
IoT Applications and Cyber Threats: Mitigation Strategies for a Secure Future
Pratik Kumar Swain, Lal Mohan Pattnaik, Suneeta Satpathy
(2025), pp. 403-428
Closed Access
Design of a Federated Ensemble Model for Intrusion Detection in Distributed IIoT Networks for Enhancing Cybersecurity
Ayushi Chahal, Preeti Gulia, Nasib Singh Gill, et al.
Journal of Industrial Information Integration (2025), pp. 100800-100800
Closed Access
Optimizing Smart Home Intrusion Detection with Harmony-Enhanced Extra Trees
Akmalbek Abdusalomov, Dusmurod Kilichev, Rashid Nasimov, et al.
(2024)
Closed Access | Times Cited: 1
A Novel Intrusion Detection Model for Enhancing Security in Smart City
Majed Aborokbah
IEEE Access (2024) Vol. 12, pp. 107431-107444
Open Access | Times Cited: 1
Privacy-Preserving Anomaly Detection for IoT: Leveraging Federated and Split Learning
Arjdal Rguibi, Asimi Younes, Ahmed Asimi, et al.
(2024), pp. 1-6
Closed Access
AI-Driven Security Measures in Virtual Worlds
Akshat Gaurav, Kwok Tai Chui
Advances in information security, privacy, and ethics book series (2024), pp. 39-53
Closed Access
An agile solution for enhancing cybersecurity attack detection using deep learning privacy-preservation in IoT-smart city
V. Jaganraja, R. Srinivasan
Wireless Networks (2024)
Closed Access
Real-Time Detection of IoT Anomalies and Intrusion Data in Smart Cities Using Multi-Agent System
Maria Muntean
Sensors (2024) Vol. 24, Iss. 24, pp. 7886-7886
Open 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
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