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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:

Decentralized Federated Learning: A Survey and Perspective
Liangqi Yuan, Ziran Wang, Lichao Sun, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 21, pp. 34617-34638
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges
Vishnu Pandi Chellapandi, Liangqi Yuan, Christopher G. Brinton, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 9, Iss. 1, pp. 119-137
Open Access | Times Cited: 33
A comprehensive and systematic literature review on intrusion detection systems in the internet of medical things: current status, challenges, and opportunities
Arezou Naghib, Farhad Soleimanian Gharehchopogh, Azadeh Zamanifar
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access
FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication
Liangqi Yuan, Dong-Jun Han, Vishnu Pandi Chellapandi, et al.
ICC 2022 - IEEE International Conference on Communications (2024), pp. 287-292
Open Access | Times Cited: 5
Predictive Control of Diesel Oxidation Catalysts with Federated Learning in Connected Vehicles
Vishnu Pandi Chellapandi, Y. Nagaraj, Joshua Supplee, et al.
(2024) Vol. 35, pp. 1-6
Closed Access | Times Cited: 4
A Survey of Security Strategies in Federated Learning: Defending Models, Data, and Privacy
Habib Ullah Manzoor, Attia Shabbir, Ao Chen, et al.
Future Internet (2024) Vol. 16, Iss. 10, pp. 374-374
Open Access | Times Cited: 4
Computer Vision Based Transfer Learning-Aided Transformer Model for Fall Detection and Prediction
Sheldon McCall, Shina Samuel Kolawole, Afreen Naz, et al.
IEEE Access (2024) Vol. 12, pp. 28798-28809
Open Access | Times Cited: 3
Federated learning meets remote sensing
Sergio Moreno‐Álvarez, Mercedes E. Paoletti, Andres J. Sanchez‐Fernandez, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124583-124583
Open Access | Times Cited: 3
Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI
Juexiao Zhou, Longxi Zhou, Di Wang, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107861-107861
Open Access | Times Cited: 10
Submodel Partitioning in Hierarchical Federated Learning: Algorithm Design and Convergence Analysis
Wenzhi Fang, Dong-Jun Han, Christopher G. Brinton
ICC 2022 - IEEE International Conference on Communications (2024), pp. 268-273
Open Access | Times Cited: 3
Federated Learning: Challenges, SoTA, Performance Improvements and Application Domains
Ιοannis Schoinas, Anna Triantafyllou, Dimosthenis Ioannidis, et al.
IEEE Open Journal of the Communications Society (2024) Vol. 5, pp. 5933-6017
Open Access | Times Cited: 2
Proposal and investigation of a distributed learning strategy in Orbital Edge Computing-endowed satellite networks for Earth Observation applications
Francesco Valente, Francesco G. Lavacca, Tiziana Fiori, et al.
Computer Networks (2024) Vol. 251, pp. 110625-110625
Open Access | Times Cited: 1
Trustworthy Federated Learning: A Comprehensive Review, Architecture, Key Challenges, and Future Research Prospects
Asadullah Tariq, Mohamed Adel Serhani, Farag Sallabi, et al.
IEEE Open Journal of the Communications Society (2024) Vol. 5, pp. 4920-4998
Open Access | Times Cited: 1
FedStar Caching: Decision Center Assisted Federated Cooperative Edge Caching
Sirvan Gharib, Mohammad Mansour Kesargheh, S. Jamal Seyedmohammadi, et al.
(2024), pp. 1-6
Closed Access
FedSCD: Federated Learning with Semi-centralization, Discrepancy-Awareness and Dual-Model Collaboration
Changji Wang, Canjie Pan, Qingqing Gan, et al.
Lecture notes in computer science (2024), pp. 174-192
Closed Access
Eco-FL: Enhancing Federated Learning sustainability in edge computing through energy-efficient client selection
Marcella Savoia, Edoardo Prezioso, Valeria Mele, et al.
Computer Communications (2024) Vol. 225, pp. 156-170
Open Access
Loss-Based Decentralized Federated Learning for Robust IoT Intrusion Detection System
Made Adi Paramartha Putra, Nengah Widya Utami, I Gede Juliana Eka Putra, et al.
(2024), pp. 119-123
Closed Access
Networked Federated Meta-Learning Over Extending Graphs
Muhammad Asaad Cheema, Vinay Chakravarthi Gogineni, Pierluigi Salvo Rossi, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 23, pp. 37988-37999
Closed Access
Platform Design for Privacy-Preserving Federated Learning using Homomorphic Encryption : Wild-and-Crazy-Idea Paper
Hokeun Kim, Younghyun Kim, Hoeseok Yang
(2024), pp. 1-5
Closed Access
DFLStar: A Decentralized Federated Learning Framework with Self-Knowledge Distillation and Participant Selection
Behnaz Soltani, Venus Haghighi, Yipeng Zhou, et al.
(2024), pp. 2108-2117
Closed Access
A Framework to Design Efficent Blockchain-based Decentralized Federated Learning Architectures
Yannis Formery, Léo Mendiboure, Jonathan Villain, et al.
IEEE Open Journal of the Computer Society (2024) Vol. 5, pp. 705-723
Open Access
Landscape of machine learning evolution: privacy-preserving federated learning frameworks and tools
Giang V. Nguyen, Judith Sáinz-Pardo Díaz, Amanda Calatrava, et al.
Artificial Intelligence Review (2024) Vol. 58, Iss. 2
Open Access
DFedGFM: Pursuing global consistency for Decentralized Federated Learning via global flatness and global momentum
Qinglun Li, Mengmeng Zhang, Tao Sun, et al.
Neural Networks (2024) Vol. 184, pp. 107084-107084
Closed Access
FedPAE: Peer-Adaptive Ensemble Learning for Asynchronous and Model-Heterogeneous Federated Learning
Brianna Mueller, W. Nick Street, Stephen Baek, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 7961-7970
Closed Access
Joint Participant and Learning Topology Selection for Federated Learning in Edge Clouds
Xinliang Wei, Kejiang Ye, Xinghua Shi, et al.
IEEE Transactions on Parallel and Distributed Systems (2024) Vol. 35, Iss. 8, pp. 1456-1468
Closed Access
(POSTER) Network Testbed for Experimenting With Decentralized Federated Learning
Anirban Mandal, Komal Thareja, Paul Ruth
(2024), pp. 768-770
Closed Access
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