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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:

VOSA: Verifiable and Oblivious Secure Aggregation for Privacy-Preserving Federated Learning
Yong Wang, Aiqing Zhang, Shu Wu, et al.
IEEE Transactions on Dependable and Secure Computing (2022) Vol. 20, Iss. 5, pp. 3601-3616
Closed Access | Times Cited: 23

Showing 23 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
Privacy in Federated Learning
Jaydip Sen, Hetvi Waghela, Sneha Rakshit
IntechOpen eBooks (2025)
Open Access | Times Cited: 1
VeriTrac: Verifiable and traceable cross-silo federated learning
Yanxin Xu, Hua Zhang, Zhenyan Liu, et al.
Future Generation Computer Systems (2025), pp. 107780-107780
Closed Access
PPRD-FL: Privacy-Preserving Federated Learning Based on Randomized Parameter Selection and Dynamic Local Differential Privacy
Jianlong Feng, Rongxin Guo, Jianqing Zhu
Electronics (2025) Vol. 14, Iss. 5, pp. 990-990
Open Access
Communication-Efficient Federated Learning on Non-IID Data Using Two-Step Knowledge Distillation
Hui Wen, Yue Wu, Jia Hu, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 19, pp. 17307-17322
Closed Access | Times Cited: 11
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 privacy-preserving federated learning with a secure collaborative for malware detection models using Internet of Things resources
Abdulrahman Alamer
Internet of Things (2023) Vol. 25, pp. 101015-101015
Closed Access | Times Cited: 10
Malicious-Resistant Non-Interactive Verifiable Aggregation for Federated Learning
Yin Zhu, Junqing Gong, Kai Zhang, et al.
IEEE Transactions on Dependable and Secure Computing (2024) Vol. 21, Iss. 6, pp. 5600-5616
Closed Access | Times Cited: 2
To be global or personalized: Generalized federated learning with cooperative adaptation for data heterogeneity
Kaijian Ding, Xiang Feng, Huiqun Yu
Knowledge-Based Systems (2024) Vol. 301, pp. 112317-112317
Closed Access | Times Cited: 2
VCSA: Verifiable and collusion-resistant secure aggregation for federated learning using symmetric homomorphic encryption
Yang Ming, Shan Wang, Chenhao Wang, et al.
Journal of Systems Architecture (2024), pp. 103279-103279
Closed Access | Times Cited: 2
On the Security of Verifiable and Oblivious Secure Aggregation for Privacy-Preserving Federated Learning
Jiahui Wu, Weizhe Zhang
IEEE Transactions on Dependable and Secure Computing (2024) Vol. 21, Iss. 5, pp. 4324-4326
Closed Access | Times Cited: 1
Batch-Aggregate: Efficient Aggregation for Private Federated Learning in VANETs
Xia Feng, Haiyang Liu, Haowei Yang, et al.
IEEE Transactions on Dependable and Secure Computing (2024) Vol. 21, Iss. 5, pp. 4939-4952
Closed Access | Times Cited: 1
A privacy-preserving federated learning protocol with a secure data aggregation for the Internet of Everything
Sultan Basudan
Computer Communications (2024) Vol. 223, pp. 1-14
Closed Access | Times Cited: 1
VPFL: Enabling verifiability and privacy in federated learning with zero-knowledge proofs
Juan Ma, Hao Liu, Mingyue Zhang, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 112115-112115
Closed Access | Times Cited: 1
Verifiable Secure Aggregation Protocol Under Federated Learning
Peiming Xu, Meiling Zheng, Lingling Xu
Lecture notes in computer science (2024), pp. 531-547
Closed Access
Privacy-Preserving Distributed Learning for Residential Short-Term Load Forecasting
Yi Dong, Yingjie Wang, Mariana Gama, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 9, pp. 16817-16828
Open Access
PPFLV: privacy-preserving federated learning with verifiability
Qun Zhou, Wenting Shen
Cluster Computing (2024)
Closed Access
Privacy-preserving OLAP against big query workloads: innovative theories and theorems
Alfredo Cuzzocrea
Distributed and Parallel Databases (2024) Vol. 43, Iss. 1
Closed Access
EADC: An Efficient Anonymous Data Collection Scheme with Blockchain in Internet of Things
Z Si, J Wang, Pengbiao Zhao, et al.
Sensors (2024) Vol. 24, Iss. 22, pp. 7162-7162
Open Access
Trustworthy federated learning model for the internet of robotic things
Sultan Basudan, Abdulrahman Alamer
Enterprise Information Systems (2024)
Closed Access
SAEV: Secure Aggregation and Efficient Verification for Privacy-Preserving Federated Learning
Junkai Wang, Rong Wang, Ling Xiong, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 24, pp. 39681-39696
Closed Access
Why Not Model Privacy?: An Efficient and Practical Scheme for Federated Learning Model Security
Shuai Wang, Renwan Bi, Youliang Tian, et al.
(2024), pp. 400-410
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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