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:

Efficient Dropout-Resilient Aggregation for Privacy-Preserving Machine Learning
Ziyao Liu, Jiale Guo, Kwok‐Yan Lam, et al.
IEEE Transactions on Information Forensics and Security (2022) Vol. 18, pp. 1839-1854
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Modern computing: Vision and challenges
Sukhpal Singh Gill, Huaming Wu, Panos Patros, et al.
Telematics and Informatics Reports (2024) Vol. 13, pp. 100116-100116
Open Access | Times Cited: 66

Robust and Privacy-Preserving Decentralized Deep Federated Learning Training: Focusing on Digital Healthcare Applications
Youliang Tian, Shuai Wang, Jinbo Xiong, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023) Vol. 21, Iss. 4, pp. 890-901
Closed Access | Times Cited: 46

Lead federated neuromorphic learning for wireless edge artificial intelligence
Helin Yang, Kwok‐Yan Lam, Liang Xiao, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 60

Privacy-Preserving Aggregation in Federated Learning: A Survey
Ziyao Liu, Jiale Guo, Wenzhuo Yang, et al.
IEEE Transactions on Big Data (2022), pp. 1-20
Open Access | Times Cited: 48

A Survey on Federated Unlearning: Challenges, Methods, and Future Directions
Ziyao Liu, Yu Jiang, Jiyuan Shen, et al.
ACM Computing Surveys (2024) Vol. 57, Iss. 1, pp. 1-38
Open Access | Times Cited: 8

Exploring the Intersection of Machine Learning and Big Data: A Survey
Ηλίας Δρίτσας, Μαρία Τρίγκα
Machine Learning and Knowledge Extraction (2025) Vol. 7, Iss. 1, pp. 13-13
Open Access | Times Cited: 1

FedDOVe: A Federated Deep Q-learning-based Offloading for Vehicular fog computing
Vivek Sethi, Sujata Pal
Future Generation Computer Systems (2022) Vol. 141, pp. 96-105
Closed Access | Times Cited: 32

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

FedComm: A Privacy-Enhanced and Efficient Authentication Protocol for Federated Learning in Vehicular Ad-Hoc Networks
Xiaohan Yuan, Jiqiang Liu, Bin Wang, et al.
IEEE Transactions on Information Forensics and Security (2023) Vol. 19, pp. 777-792
Closed Access | Times Cited: 15

On the Information Theoretic Secure Aggregation With Uncoded Groupwise Keys
Kai Wan, Xin Yao, Hua Sun, et al.
IEEE Transactions on Information Theory (2024) Vol. 70, Iss. 9, pp. 6596-6619
Open Access | Times Cited: 5

TPFL: Privacy-Preserving Personalized Federated Learning Mitigates Model Poisoning Attacks
Shaojun Zuo, Yong Xie, Hehua Yao, et al.
Information Sciences (2025), pp. 121901-121901
Closed Access

Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated Recommendation
Siqing Zhang, Y.F. Ding, Wei Tang, et al.
(2025), pp. 327-335
Closed Access

Group verifiable secure aggregate federated learning based on secret sharing
Sufang Zhou, Lin Wang, Liqun Chen, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

PP-MAD: Privacy-preserving multi-task data aggregation in mobile crowdsensing via blockchain
Xingfu Yan, Jie Ding, Fucai Luo, et al.
Computer Standards & Interfaces (2025), pp. 104002-104002
Closed Access

Multi-keyword Searchable Data Auditing for Cloud-Based Machine Learning
Haiyan Yu, Qingru Ma, Yinghuai Zhu, et al.
Lecture notes in computer science (2025), pp. 118-132
Closed Access

Adversarial Machine Learning in Industry: A Systematic Literature Review
Felix Viktor Jedrzejewski, Lukas Thode, Jannik Fischbach, et al.
Computers & Security (2024) Vol. 145, pp. 103988-103988
Open Access | Times Cited: 4

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

FLSecure: A hybrid framework with blockchain and multi-TEE parallel execution for secure federated learnings
Bian Zhu, Niu Ling, Y.H. Li S.C. Zhang
Alexandria Engineering Journal (2025) Vol. 122, pp. 300-317
Closed Access

Self-adaptive Federated Learning in Internet of Things Systems: A Review
Abdulaziz Aljohani, Omer Rana, Charith Perera
ACM Computing Surveys (2025)
Closed Access

A survey of secure semantic communications
Rui Meng, Song Gao, Dayu Fan, et al.
Journal of Network and Computer Applications (2025), pp. 104181-104181
Closed Access

ALPS: Achieving accuracy-aware location privacy service via assisted regions
Shaobo Zhang, Tao Guo, Qin Liu, et al.
Future Generation Computer Systems (2023) Vol. 145, pp. 189-199
Closed Access | Times Cited: 10

A Reliable Protocol for Data Aggregation and Optimized Routing in IoT WSNs based on Machine Learning
Neeraj Chandnani, Chandrakant N. Khairnar
Wireless Personal Communications (2023) Vol. 130, Iss. 4, pp. 2589-2622
Closed Access | Times Cited: 10

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

Privacy-preserving data aggregation scheme against deletion and tampering attacks from aggregators
Jianhong Zhang, Chenghe Dong
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 4, pp. 100-111
Open Access | Times Cited: 9

Long-Term Privacy-Preserving Aggregation With User-Dynamics for Federated Learning
Ziyao Liu, Hsiao-Ying Lin, Yamin Liu
IEEE Transactions on Information Forensics and Security (2023) Vol. 18, pp. 2398-2412
Closed Access | Times Cited: 9

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