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:

Blockchain-Based Distributed Federated Learning in Smart Grid
Marcel Antal, Vlad Mihailescu, Tudor Cioara, et al.
Mathematics (2022) Vol. 10, Iss. 23, pp. 4499-4499
Open Access | Times Cited: 12

Showing 12 citing articles:

Deep learning for intelligent demand response and smart grids: A comprehensive survey
Prabadevi Boopathy, Madhusanka Liyanage, N. Deepa, et al.
Computer Science Review (2024) Vol. 51, pp. 100617-100617
Open Access | Times Cited: 19

A federated learning model with the whale optimization algorithm for renewable energy prediction
Viorica Rozina Chifu, Tudor Cioara, Cristian Daniel Anitei, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110259-110259
Open Access | Times Cited: 1

Decentralized federated learning based on blockchain: concepts, framework, and challenges
Haoran Zhang, Shan Jiang, Shichang Xuan
Computer Communications (2024) Vol. 216, pp. 140-150
Closed Access | Times Cited: 12

Edge Offloading in Smart Grid
Gabriel Ioan Arcas, Tudor Cioara, Ionuț Anghel, et al.
Smart Cities (2024) Vol. 7, Iss. 1, pp. 680-711
Open Access | Times Cited: 8

Unlocking a Promising Future: Integrating Blockchain Technology and FL-IoT in the Journey to 6G
Fatemah Alghamedy, Nahla El-Haggar, Albandari Alsumayt, et al.
IEEE Access (2024) Vol. 12, pp. 115411-115447
Open Access | Times Cited: 4

Healthchain - Bidimensional Blockchain for Collaborative and Secure Deep Learning in Healthcare
Rafael Marin Machado de Souza, A. I. S. Holm, Márcio Biczyk, et al.
Lecture notes in networks and systems (2025), pp. 99-108
Closed Access

Utilizing Federated Learning and SHAP for Predictive Analysis in Smart Grid Security
Sushmitha Halli Sudhakara, Lida Haghnegahdar, Mohammad GhasemiGol, et al.
Communications in computer and information science (2025), pp. 516-534
Closed Access

Decentralized asynchronous adaptive federated learning algorithm for securely prediction of distributed power data
Qiang Li, Di Liu, Hui Cao, et al.
Frontiers in Energy Research (2024) Vol. 11
Open Access | Times Cited: 2

Energy Demand Forecasting for Electric Vehicles Using Blockchain-Based Federated Learning
Firdous Kausar, Rami Al-Hamouz, Sajid Hussain
IEEE Access (2024) Vol. 12, pp. 41287-41298
Open Access | Times Cited: 2

Towards trustworthy federated learning: a blockchain-based architecture for auditing, traceability, and verification
Hongmin Gao, Xiaofeng Pan, Xiaojing Zhang, et al.
(2023) Vol. 16, pp. 52-52
Closed Access | Times Cited: 3

A Non-centralized Federated Learning Architecture to Obtain Accurate Privacy Preserving Results
Jesús Bobadilla, Abraham Gutiérrez, Santiago Alonso
(2024) Vol. 171, pp. 393-398
Closed Access

Dynamic Cohort Formation with Hierarchical Blockchain Using GDP for Enhanced FL
Sunila Fatima Ahmad, Zahra Abbas, Madiha Haider Syed, et al.
Computers (2024) Vol. 13, Iss. 12, pp. 317-317
Open Access

Fedwoa: A Federated Learning Model with the Whale Optimization Algorithm for Renewable Energy Prediction
Viorica Rozina Chifu, Tudor Cioara, Cristian Anitiei, et al.
(2023)
Closed Access

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