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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:

Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning
Shaoxiong Ji, Yue Tan, Teemu Saravirta, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 15

Showing 15 citing articles:

Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 5, pp. 7374-7398
Open Access | Times Cited: 88
Federated Cycling (FedCy): Semi-Supervised Federated Learning of Surgical Phases
Hasan Kassem, Deepak Alapatt, Pietro Mascagni, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 42, Iss. 7, pp. 1920-1931
Open Access | Times Cited: 41
Federated User Modeling from Hierarchical Information
Qi Liu, Jinze Wu, Zhenya Huang, et al.
ACM transactions on office information systems (2023) Vol. 41, Iss. 2, pp. 1-33
Closed Access | Times Cited: 33
Federated Learning and Meta Learning: Approaches, Applications, and Directions
Xiaonan Liu, Yansha Deng, Arumugam Nallanathan, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 26, Iss. 1, pp. 571-618
Open Access | Times Cited: 24
Self-supervised spatial–temporal transformer fusion based federated framework for 4D cardiovascular image segmentation
Moona Mazher, Imran Razzak, Abdul Qayyum, et al.
Information Fusion (2024) Vol. 106, pp. 102256-102256
Open Access | Times Cited: 13
FedBABU: Towards Enhanced Representation for Federated Image Classification
Jaehoon Oh, Sangmook Kim, Se-Young Yun
arXiv (Cornell University) (2021)
Open Access | Times Cited: 40
Personalized Federated Learning over non-IID Data for Indoor Localization
Peng Wu, Tales Imbiriba, Junha Park, et al.
(2021), pp. 421-425
Open Access | Times Cited: 26
Towards a Federated Fuzzy Learning System
Anna Wilbik, Paul Grefen
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2021), pp. 1-6
Open Access | Times Cited: 19
Gradual Federated Learning With Simulated Annealing
Luong Trung Nguyen, Junhan Kim, Byonghyo Shim
IEEE Transactions on Signal Processing (2021) Vol. 69, pp. 6299-6313
Open Access | Times Cited: 11
CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization
Nang Hung Nguyen, Duc Long Nguyen, Trong Bang Nguyen, et al.
(2023) Vol. 33, pp. 249-261
Open Access | Times Cited: 3
Privacy and Security in Distributed Learning: A Review of Challenges, Solutions, and Open Research Issues
Muhammad Usman Afzal, Alaa Awad Abdellatif, Muhammad Zubair, et al.
IEEE Access (2023) Vol. 11, pp. 114562-114581
Open Access | Times Cited: 3
Maze Solver: A Federated Reinforcement Learning Approach
Aayush Sharma, Harjeet Kaur, Deepak Prashar
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023), pp. 1-5
Closed Access | Times Cited: 2
Guest Editorial: Graph-powered machine learning in future-generation computing systems
Shirui Pan, Shaoxiong Ji, Di Jin, et al.
Future Generation Computer Systems (2021) Vol. 126, pp. 88-90
Closed Access | Times Cited: 2
Open Issues Automating Multi-Environment IoT Systems
Rubén Rentero-Trejo, José Garcí­a-Alonso, Juan M. Murillo, et al.
2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (2022)
Closed Access | Times Cited: 1
Personalized Federated Learning over non-IID Data for Indoor Localization
Peng Wu, Tales Imbiriba, Junha Park, et al.
arXiv (Cornell University) (2021)
Open Access
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