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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:

An adaptive federated learning scheme with differential privacy preserving
Xiang Wu, Yongting Zhang, Minyu Shi, et al.
Future Generation Computer Systems (2021) Vol. 127, pp. 362-372
Closed Access | Times Cited: 139

Showing 1-25 of 139 citing articles:

A survey on federated learning: challenges and applications
Jie Wen, Zhixia Zhang, Y. Lan, et al.
International Journal of Machine Learning and Cybernetics (2022) Vol. 14, Iss. 2, pp. 513-535
Open Access | Times Cited: 219
Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges
Nuria Rodríguez-Barroso, Daniel Jiménez-López, M. Victoria Luzón, et al.
Information Fusion (2022) Vol. 90, pp. 148-173
Open Access | Times Cited: 157
Secure Federated Learning With Fully Homomorphic Encryption for IoT Communications
Neveen Hijazi, Moayad Aloqaily, Mohsen Guizani, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 3, pp. 4289-4300
Closed Access | Times Cited: 65
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: 51
Fairness and privacy preserving in federated learning: A survey
Taki Hasan Rafi, Faiza Anan Noor, Tahmid Hussain, et al.
Information Fusion (2023) Vol. 105, pp. 102198-102198
Open Access | Times Cited: 30
Ubiquitous intelligent federated learning privacy-preserving scheme under edge computing
Dongfen Li, Jinshan Lai, Ruijin Wang, et al.
Future Generation Computer Systems (2023) Vol. 144, pp. 205-218
Closed Access | Times Cited: 24
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: 23
Blockchain-enabled peer-to-peer energy trading and resilient control of microgrids
Veerapandiyan Veerasamy, Zhijian Hu, Haifeng Qiu, et al.
Applied Energy (2023) Vol. 353, pp. 122107-122107
Closed Access | Times Cited: 23
Secure Multi-Party Computation for Machine Learning: A Survey
Ian Zhou, Farzad Tofigh, Massimo Piccardi, et al.
IEEE Access (2024) Vol. 12, pp. 53881-53899
Open Access | Times Cited: 12
Personalized Federated Graph Learning on Non-IID Electronic Health Records
Tao Tang, Zhuoyang Han, Zhen Cai, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 35, Iss. 9, pp. 11843-11856
Closed Access | Times Cited: 10
Agricultural data privacy and federated learning: A review of challenges and opportunities
Rahool Dembani, Ioannis Karvelas, Nur Arifin Akbar, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110048-110048
Open Access | Times Cited: 1
Federated Learning for the Internet-of-Medical-Things: A Survey
Vivek Kumar Prasad, Pronaya Bhattacharya, Darshil Maru, et al.
Mathematics (2022) Vol. 11, Iss. 1, pp. 151-151
Open Access | Times Cited: 37
Fault diagnosis based on federated learning driven by dynamic expansion for model layers of imbalanced client
Funa Zhou, Shun Liu, Hamido Fujita, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121982-121982
Closed Access | Times Cited: 21
Federated Deep Reinforcement Learning for Online Task Offloading and Resource Allocation in WPC-MEC Networks
Lianqi Zang, Xin Zhang, Boren Guo
IEEE Access (2022) Vol. 10, pp. 9856-9867
Open Access | Times Cited: 26
Toward Privacy Preservation Using Clustering Based Anonymization: Recent Advances and Future Research Outlook
Abdul Majeed, Safiullah Khan, Seong Oun Hwang
IEEE Access (2022) Vol. 10, pp. 53066-53097
Open Access | Times Cited: 25
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: 16
Affordable federated edge learning framework via efficient Shapley value estimation
Liguo Dong, Zhenmou Liu, Kejia Zhang, et al.
Future Generation Computer Systems (2023) Vol. 147, pp. 339-349
Closed Access | Times Cited: 15
A personalized federated learning-based fault diagnosis method for data suffering from network attacks
Zhiqiang Zhang, Funa Zhou, Chongsheng Zhang, et al.
Applied Intelligence (2023) Vol. 53, Iss. 19, pp. 22834-22849
Closed Access | Times Cited: 15
Intrusion Detection System for IoHT Devices using Federated Learning
Fatemeh Mosaiyebzadeh, Seyedamin Pouriyeh, Reza M. Parizi, et al.
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (2023)
Closed Access | Times Cited: 13
A Federated Learning Model Based on Hardware Acceleration for the Early Detection of Alzheimer’s Disease
Kasem Khalil, Mohammad Mahbubur Rahman Khan Mamun, Ahmed Sherif, et al.
Sensors (2023) Vol. 23, Iss. 19, pp. 8272-8272
Open Access | Times Cited: 13
Fed-MPS: Federated learning with local differential privacy using model parameter selection for resource-constrained CPS
Shui Jiang, Xiaoding Wang, Youxiong Que, et al.
Journal of Systems Architecture (2024) Vol. 150, pp. 103108-103108
Closed Access | Times Cited: 5
Federated learning: A cutting-edge survey of the latest advancements and applications
Azim Akhtarshenas, Mohammad Ali Vahedifar, Navid Ayoobi, et al.
Computer Communications (2024) Vol. 228, pp. 107964-107964
Open Access | Times Cited: 5
Recent Advancements in Federated Learning: State of the Art, Fundamentals, Principles, IoT Applications and Future Trends
Christos Papadopoulos, Konstantinos-Filippos Kollias, George F. Fragulis
Future Internet (2024) Vol. 16, Iss. 11, pp. 415-415
Open Access | Times Cited: 5
Federated Medical Learning Framework Based on Blockchain and Homomorphic Encryption
Xiaohui Yang, Chongbo Xing
Wireless Communications and Mobile Computing (2024) Vol. 2024, pp. 1-15
Open Access | Times Cited: 4
Fed-PEMC: A Privacy-Enhanced Federated Deep Learning Algorithm for Consumer Electronics in Mobile Edge Computing
Qingxin Lin, Shui Jiang, Zihang Zhen, et al.
IEEE Transactions on Consumer Electronics (2024) Vol. 70, Iss. 1, pp. 4073-4086
Closed Access | Times Cited: 4
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