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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:

Federated Learning Empowered Recommendation Model for Financial Consumer Services
Pushpita Chatterjee, Debashis Das, Danda B. Rawat
IEEE Transactions on Consumer Electronics (2023) Vol. 70, Iss. 1, pp. 2508-2516
Closed Access | Times Cited: 16

Showing 16 citing articles:

Digital twin for credit card fraud detection: opportunities, challenges, and fraud detection advancements
Pushpita Chatterjee, Debashis Das, Danda B. Rawat
Future Generation Computer Systems (2024) Vol. 158, pp. 410-426
Closed Access | Times Cited: 26
Dual-domain based backdoor attack against federated learning
Guorui Li, Ray-I Chang, Ying Wang, et al.
Neurocomputing (2025), pp. 129424-129424
Closed Access | Times Cited: 1
FLAG: Federated Learning for Sustainable Irrigation in Agriculture 5.0
Somnath Bera, Tanushree Dey, Anwesha Mukherjee, et al.
IEEE Transactions on Consumer Electronics (2024) Vol. 70, Iss. 1, pp. 2303-2310
Closed Access | Times Cited: 6
Rethinking federated learning as a digital platform for dynamic and value-driven participation
Christoph Düsing, Philipp Cimiano
Future Generation Computer Systems (2025), pp. 107847-107847
Open Access
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: 4
Multiple-Round Aggregation of Abstract Semantics for Secure Heterogeneous Federated Learning
Jiao Zhang, Xiong Li, Wei Liang
Lecture notes in computer science (2025), pp. 208-227
Closed Access
Enhancing security in financial transactions: a novel blockchain-based federated learning framework for detecting counterfeit data in fintech
Hasnain Rabbani, Muhammad Farrukh Shahid, Tariq Jamil Saifullah Khanzada, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2280-e2280
Open Access | Times Cited: 2
Introducing edge intelligence to smart meters via federated split learning
Yehui Li, Dalin Qin, H. Vincent Poor, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Differential Privacy Federated Learning: A Comprehensive Review
Fangfang Shan, Shiqi Mao, Yanlong Lu, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 7
Open Access
Federated Learning Enabled Secure Air Transport and Tourism System
Sachin Sharma, Muskan Tomar, Ranu Tyagi
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2024), pp. 1-6
Closed Access
A Trusted Federated Learning Method Based on Consortium Blockchain
Xiaojun Yin, Xijun Wu, Xinming Zhang
Information (2024) Vol. 16, Iss. 1, pp. 14-14
Open Access
A Survey on Model-heterogeneous Federated Learning: Problems, Methods, and Prospects
Boyu Fan, Siyang Jiang, Xiang Su, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 7725-7734
Closed Access
Bayesian Uncertainty Calibration for Federated Time Series Analysis
Chao Cai, Weide Liu, Xue Xia, et al.
IEEE Transactions on Multimedia (2024) Vol. 26, pp. 11151-11163
Closed Access
FLEDGY: Federated Learning for Edge Devices Accommodating GPU Diversity
Aria Ghora Prabono, Yang Fan Goh, Mei Kobayashi
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2024), pp. 1528-1529
Closed Access
Driving Sales and Customer Engagement
Sharmishthadevi Deshmukh, Ashutosh Panchbhai, Monika Gorkhe, et al.
Advances in computational intelligence and robotics book series (2024), pp. 361-388
Closed Access
Detecting and Preventing Fraud Transaction Using Artificial Intelligence in Banking
M. Murali
Advances in finance, accounting, and economics book series (2024), pp. 1-20
Closed Access
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