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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:

Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey
Jiajun Wu, Fan Dong, Henry Leung, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 10, pp. 1-41
Open Access | Times Cited: 22

Showing 22 citing articles:

Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Pedro Miguel Sánchez Sánchez, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 25, Iss. 4, pp. 2983-3013
Closed Access | Times Cited: 140
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: 34
Speed Up Federated Learning in Heterogeneous Environments: A Dynamic Tiering Approach
Seyed Mahmoud Sajjadi Mohammadabadi, Syed Zawad, Feng Yan, et al.
IEEE Internet of Things Journal (2024) Vol. 12, Iss. 5, pp. 5026-5035
Closed Access | Times Cited: 5
Hierarchical Aggregation for Federated Learning in Heterogeneous IoT Scenarios: Enhancing Privacy and Communication Efficiency
Chen Qiu, Z.D. Wu, Haoda Wang, et al.
Future Internet (2025) Vol. 17, Iss. 1, pp. 18-18
Open Access
6Trace: An Effective Method for Active IPv6 Topology Discovery
Zhi Shen, Chen Pan, Yi Xie, et al.
Electronics (2025) Vol. 14, Iss. 2, pp. 343-343
Open Access
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey
Mang Ye, Shen Wei, Bo Du, et al.
ACM Computing Surveys (2025)
Closed Access
Adaptive single-layer aggregation framework for energy-efficient and privacy-preserving load forecasting in heterogeneous Federated smart grids
Habib Ullah Manzoor, Atif Jafri, Ahmed Zoha
Internet of Things (2024), pp. 101376-101376
Open Access | Times Cited: 4
Decentralized Machine Learning Training: A Survey on Synchronization, Consolidation, and Topologies
Qazi Waqas Khan, Anam Nawaz Khan, Atif Rizwan, et al.
IEEE Access (2023) Vol. 11, pp. 68031-68050
Open Access | Times Cited: 11
FedLE: Federated Learning Client Selection with Lifespan Extension for Edge IoT Networks
Jiajun Wu, Steve Drew, Jiayu Zhou
ICC 2022 - IEEE International Conference on Communications (2023), pp. 985-990
Open Access | Times Cited: 7
Federated Learning in Smart Healthcare: A Comprehensive Review on Privacy, Security, and Predictive Analytics with IoT Integration
Shabbar Abbas, Zeeshan Abbas, Arifa Zahir, et al.
Healthcare (2024) Vol. 12, Iss. 24, pp. 2587-2587
Open Access | Times Cited: 2
Decentralized Federated Learning on the Edge Over Wireless Mesh Networks
Abdelaziz Salama, Achilleas Stergioulis, Syed Ali Raza Zaidi, et al.
IEEE Access (2023) Vol. 11, pp. 124709-124724
Open Access | Times Cited: 5
Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology
Tuong Do, Binh X. Nguyen, Vuong T. Pham, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023)
Open Access | Times Cited: 3
Federated Learning for the Metaverse: A Short Survey
Gokul Yenduri, Dasaradharami Reddy Kandati, Gautam Srivastava, et al.
(2023), pp. 1-10
Closed Access | Times Cited: 2
Federated Learning Model Aggregation in Heterogenous Aerial and Space Networks
Fan Dong, Ali Abbasi, Henry Leung, et al.
2022 IEEE International Conference on Communications Workshops (ICC Workshops) (2024), pp. 1262-1267
Open Access
Latency-Aware Node Selection in Federated Learning
Rustem Dautov, Erik Johannes Husom
(2024), pp. 598-600
Closed Access
The Impact of Federated Learning on Urban Computing
José R. F. Souza, Shéridan Z. L. N. Oliveira, Helder Oliveira
Journal of Internet Services and Applications (2024) Vol. 15, Iss. 1, pp. 380-409
Open Access
Heterogeneous SplitFed: Federated Learning with Trainable and Untrainable Clients
Juliana N. D. da Silva, Stefan Duffner, Virginie Fresse
(2024), pp. 109-114
Open Access
Communication optimization techniques in Personalized Federated Learning: Applications, challenges and future directions
Fahad Sabah, Yuwen Chen, Zhen Yang, et al.
Information Fusion (2024), pp. 102834-102834
Closed Access
Optimizing federated learning with weighted aggregation in aerial and space networks
Fan Dong, Henry Leung, Steve Drew
Journal of Network and Computer Applications (2024), pp. 104086-104086
Open Access
Towards Efficient Decentralized Federated Learning: A Survey
Saqr Khalil Saeed Thabet, Behnaz Soltani, Yipeng Zhou, et al.
Lecture notes in computer science (2024), pp. 208-222
Closed Access
Distributed Machine Learning in Edge Computing: Challenges, Solutions and Future Directions
Jingke Tu, Lei Yang, Jiannong Cao
ACM Computing Surveys (2024)
Closed Access
Federated Learning with Client Availability Budgets
Yunkai Bao, Steve Drew, Xin Wang, et al.
GLOBECOM 2022 - 2022 IEEE Global Communications Conference (2023), pp. 1902-1907
Closed Access
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