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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:

FedBERT: When Federated Learning Meets Pre-training
Yuanyishu Tian, Yao Wan, Lingjuan Lyu, et al.
ACM Transactions on Intelligent Systems and Technology (2022) Vol. 13, Iss. 4, pp. 1-26
Closed Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

Federated Learning-Empowered AI-Generated Content in Wireless Networks
Xumin Huang, Peichun Li, Hongyang Du, et al.
IEEE Network (2024) Vol. 38, Iss. 5, pp. 304-313
Open Access | Times Cited: 18
Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State-of-the-Art and Future Directions
Qiang Duan, Shijing Hu, Ruijun Deng, et al.
Sensors (2022) Vol. 22, Iss. 16, pp. 5983-5983
Open Access | Times Cited: 56
Multimodal Federated Learning: A Survey
Liwei Che, Jiaqi Wang, Yao Zhou, et al.
Sensors (2023) Vol. 23, Iss. 15, pp. 6986-6986
Open Access | Times Cited: 38
RingSFL: An Adaptive Split Federated Learning Towards Taming Client Heterogeneity
Jinglong Shen, Nan Cheng, Xiucheng Wang, et al.
IEEE Transactions on Mobile Computing (2023) Vol. 23, Iss. 5, pp. 5462-5478
Open Access | Times Cited: 27
A Comprehensive Survey on Privacy-Preserving Techniques in Federated Recommendation Systems
Muhammad Asad, Saima Shaukat, Ehsan Javanmardi, et al.
Applied Sciences (2023) Vol. 13, Iss. 10, pp. 6201-6201
Open Access | Times Cited: 24
LLM-Based Edge Intelligence: A Comprehensive Survey on Architectures, Applications, Security and Trustworthiness
Othmane Friha, Mohamed Amine Ferrag, Burak Kantarcı, et al.
IEEE Open Journal of the Communications Society (2024) Vol. 5, pp. 5799-5856
Open Access | Times Cited: 11
HSFL: Efficient and Privacy-Preserving Offloading for Split and Federated Learning in IoT Services
Ruijun Deng, Xin Du, Zhihui Lu, et al.
(2023)
Closed Access | Times Cited: 18
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: 8
FedRecovery: Differentially Private Machine Unlearning for Federated Learning Frameworks
Lefeng Zhang, Tianqing Zhu, Haibin Zhang, et al.
IEEE Transactions on Information Forensics and Security (2023) Vol. 18, pp. 4732-4746
Closed Access | Times Cited: 16
Federated Learning in Computer Vision
Donald Shenaj, Giulia Rizzoli, Pietro Zanuttigh
IEEE Access (2023) Vol. 11, pp. 94863-94884
Open Access | Times Cited: 16
Multi-Level Split Federated Learning for Large-Scale AIoT System Based on Smart Cities
Hanyue Xu, Kah Phooi Seng, Jeremy S. Smith, et al.
Future Internet (2024) Vol. 16, Iss. 3, pp. 82-82
Open Access | Times Cited: 6
Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly
Herbert Woisetschläger, Alexander Erben, Shiqiang Wang, et al.
(2024), pp. 39-50
Open Access | Times Cited: 5
Decentralized and Distributed Learning for AIoT: A Comprehensive Review, Emerging Challenges, and Opportunities
Hanyue Xu, Kah Phooi Seng, Li-Minn Ang, et al.
IEEE Access (2024) Vol. 12, pp. 101016-101052
Open Access | Times Cited: 5
Predictive GAN-Powered Multi-Objective Optimization for Hybrid Federated Split Learning
Benshun Yin, Zhiyong Chen, Meixia Tao
IEEE Transactions on Communications (2023) Vol. 71, Iss. 8, pp. 4544-4560
Open Access | Times Cited: 13
FedGKD: Toward Heterogeneous Federated Learning via Global Knowledge Distillation
Dezhong Yao, Wanning Pan, Yutong Dai, et al.
IEEE Transactions on Computers (2023) Vol. 73, Iss. 1, pp. 3-17
Closed Access | Times Cited: 12
Federated learning of medical concepts embedding using BEHRT
Ofir Ben Shoham, Nadav Rappoport
JAMIA Open (2024) Vol. 7, Iss. 4
Open Access | Times Cited: 4
From Continuous Pre-Training to Alignment: A Comprehensive Toolkit for Large Language Models in Federated Learning
Zhuo Zhang, Yukun Zhang, Guanzhong Chen, et al.
(2025)
Closed Access
Federated Learning-Based Tokenizer for Domain-Specific Language Models in Finance
Farouk Damoun, Hamida Seba, Radu State
Lecture notes in computer science (2025), pp. 3-20
Closed Access
Modal-Centric Insights Into Multimodal Federated Learning for Smart Healthcare: A Survey
Di Wang, Wenjian Liu, Longxiang Gao, et al.
Lecture notes in computer science (2025), pp. 145-160
Closed Access
FedAV: Federated learning for cyberattack vulnerability and resilience of cooperative driving automation
Guanyu Lin, Sean Qian, Zulqarnain H. Khattak
Communications in Transportation Research (2025) Vol. 5, pp. 100175-100175
Closed Access
Exploring privacy mechanisms and metrics in federated learning
D. Shweta Shenoy, Radhakrishna Bhat, Krishna Prakash
Artificial Intelligence Review (2025) Vol. 58, Iss. 8
Open Access
Unlearning Incentivizes Learning under Privacy Risk
Qiyuan Wang, R. Xu, Shibo He, et al.
(2025), pp. 1456-1467
Closed Access
Analysis of Model Merging Methods for Continual Updating of Foundation Models in Distributed Data Settings
Kenta Kubota, Ren Togo, Keisuke Maeda, et al.
Applied Sciences (2025) Vol. 15, Iss. 9, pp. 5196-5196
Open Access
Privacy-Preserving Split Learning for Large-Scaled Vision Pre-Training
Zhousheng Wang, Geng Yang, Hua Dai, et al.
IEEE Transactions on Information Forensics and Security (2023) Vol. 18, pp. 1539-1553
Closed Access | Times Cited: 9
FLScalize: Federated Learning Lifecycle Management Platform
S.H. Yang, J. Moon, Jinsoo Kim, et al.
IEEE Access (2023) Vol. 11, pp. 47212-47222
Open Access | Times Cited: 8
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