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:

A Review of Federated Meta-Learning and Its Application in Cyberspace Security
Fengchun Liu, Meng Li, Xiaoxiao Liu, et al.
Electronics (2023) Vol. 12, Iss. 15, pp. 3295-3295
Open Access | Times Cited: 8

Showing 8 citing articles:

Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations
Smith K. Khare, Victoria Blanes‐Vidal, Esmaeil S. Nadimi, et al.
Information Fusion (2023) Vol. 102, pp. 102019-102019
Open Access | Times Cited: 116

IoT‐5G and B5G/6G resource allocation and network slicing orchestration using learning algorithms
Ado Adamou Abba Ari, Faustin Samafou, Arouna Ndam Njoya, et al.
IET Networks (2025) Vol. 14, Iss. 1
Open Access

Advances in Federated Learning: Applications and Challenges in Smart Building Environments and Beyond
Mohamed Rafik Aymene Berkani, Ammar Chouchane, Yassine Himeur, et al.
Computers (2025) Vol. 14, Iss. 4, pp. 124-124
Open Access

Federated learning for solar energy applications: A case study on real-time fault detection
Ibtihal Ait Abdelmoula, Hicham Oufettoul, Nassim Lamrini, et al.
Solar Energy (2024) Vol. 282, pp. 112942-112942
Closed Access | Times Cited: 1

Security and Privacy-Preserving Techniques of Federated Learning in Edge Computing: A Comparative Study
Nouhaila Aasoum, Ismail Jellouli, Souad Amjad, et al.
(2024) Vol. 7, pp. 1-8
Closed Access

Federated learning and non-federated learning based power forecasting of photovoltaic/wind power energy systems: A systematic review
Filippo Sanfilippo, Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, et al.
Energy and AI (2024) Vol. 18, pp. 100438-100438
Open Access

A Bibliometric Analysis on Federated Learning
Ömer Algorabi, Yusuf Sait Türkan, Mesut Ulu, et al.
Journal of Advanced Research in Natural and Applied Sciences (2024) Vol. 10, Iss. 4, pp. 875-898
Open Access

Fast Meta Failure Recovery for Federated Meta-Learning
Brandon Delliquadri, Chao Wang, Shuo Chen, et al.
2021 IEEE International Conference on Big Data (Big Data) (2023), pp. 3154-3158
Closed Access

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