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:

RFLPV: A robust federated learning scheme with privacy preservation and verifiable aggregation in IoMT
Ruyan Wang, Xingmin Yuan, Zhigang Yang, et al.
Information Fusion (2023) Vol. 102, pp. 102029-102029
Closed Access | Times Cited: 15

Showing 15 citing articles:

ESVFL: Efficient and secure verifiable federated learning with privacy-preserving
Jiewang Cai, Wenting Shen, Jing Qin
Information Fusion (2024) Vol. 109, pp. 102420-102420
Closed Access | Times Cited: 8

FedCCW: a privacy-preserving Byzantine-robust federated learning with local differential privacy for healthcare
Lianfu Zhang, Guian Fang, Zuowen Tan
Cluster Computing (2025) Vol. 28, Iss. 3
Closed Access

Verifiable Federated Learning with Group Chaining in Edge Computing
Shufen Niu, Lin Hu, Xingxing Nan, et al.
Knowledge-Based Systems (2025), pp. 113129-113129
Closed Access

A review of medical text analysis: Theory and practice
Yani Chen, Chunwu Zhang, Ruibin Bai, et al.
Information Fusion (2025), pp. 103024-103024
Closed Access

A secure and efficient framework for internet of medical things through blockchain driven customized federated learning
Abdul Mazid, Sheeraz Kirmani, Manaullah Abid, et al.
Cluster Computing (2025) Vol. 28, Iss. 4
Closed Access

An effective and verifiable secure aggregation scheme with privacy-preserving for federated learning
Rong Wang, Ling Xiong, Jiazhou Geng, et al.
Journal of Systems Architecture (2025), pp. 103364-103364
Closed 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: 3

Analysis of Federated Learning Paradigm in Medical Domain: Taking COVID-19 as an Application Use Case
Seong Oun Hwang, Abdul Majeed
Applied Sciences (2024) Vol. 14, Iss. 10, pp. 4100-4100
Open Access | Times Cited: 2

Privacy preserving verifiable federated learning scheme using blockchain and homomorphic encryption
Ganesh Kumar Mahato, Aiswaryya Banerjee, Swarnendu Kumar Chakraborty, et al.
Applied Soft Computing (2024), pp. 112405-112405
Closed Access | Times Cited: 1

FeaShare: Feature Sharing for Computation Correctness in Edge Preprocessing
Zhihui Zhao, Haoyu Bin, Hong Li, et al.
IEEE Transactions on Mobile Computing (2024) Vol. 23, Iss. 12, pp. 11029-11044
Closed Access

Blockchain-based privacy-preserving incentive scheme for internet of electric vehicle
Qian Mei, Wenxia Guo, Yanan Zhao, et al.
Information Fusion (2024), pp. 102732-102732
Closed Access

Privacy-Preserving Scheme Against Collusion Attacks Based on Federated Learning
Longxiang Qu
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) (2024), pp. 403-407
Closed Access

Secure and verifiable federated learning against poisoning attacks in IoMT
Shufen Niu, Xusheng Zhou, Ning Wang, et al.
Computers & Electrical Engineering (2024) Vol. 122, pp. 109900-109900
Closed Access

EVFLS: An Effective and Verifiable Federated Learning Aggregation Scheme
Rong Wang, Jiazhou Geng, Ling Xiong
Communications in computer and information science (2024), pp. 131-148
Closed Access

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