Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Reliable federated learning based on dual-reputation reverse auction mechanism in Internet of Things
Y. A. Tang, Yongquan Liang, Yang Liu, et al.
Future Generation Computer Systems (2024) Vol. 156, pp. 269-284
Closed Access | Times Cited: 12

Showing 12 citing articles:

A comprehensive survey on client selection strategies in federated learning
Jian Li, Tongbao Chen, Shaohua Teng
Computer Networks (2024) Vol. 251, pp. 110663-110663
Closed Access | Times Cited: 5
Federated learning based on dynamic hierarchical game incentives in Industrial Internet of Things
Y. A. Tang, Lina Ni, Jufeng Li, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103214-103214
Closed Access
Credit card fraud detection based on federated graph learning
Y. A. Tang, Yongquan Liang
Expert Systems with Applications (2024) Vol. 256, pp. 124979-124979
Closed Access | Times Cited: 3
A Multifaceted Survey on Federated Learning: Fundamentals, Paradigm Shifts, Practical Issues, Recent Developments, Partnerships, Trade-Offs, Trustworthiness, and Ways Forward
Abdul Majeed, Seong Oun Hwang
IEEE Access (2024) Vol. 12, pp. 84643-84679
Open Access
Blockchain and Trustworthy Reputation for Federated Learning: Opportunities and Challenges
Farhana Javed, Josep Mangues‐Bafalluy, Engin Zeydan, et al.
(2024), pp. 578-584
Closed Access
A Multi-Dimensional Reverse Auction Mechanism for Volatile Federated Learning in the Mobile Edge Computing Systems
Yiming Hong, Zhaohua Zheng, Zizheng Wang
Electronics (2024) Vol. 13, Iss. 16, pp. 3154-3154
Open Access
FL-DSFA: Securing RPL-Based IoT Networks against Selective Forwarding Attacks Using Federated Learning
Rabia Khan, Noshina Tariq, Muhammad Imran Ashraf, et al.
Sensors (2024) Vol. 24, Iss. 17, pp. 5834-5834
Open Access
DDPG-AdaptConfig: A deep reinforcement learning framework for adaptive device selection and training configuration in heterogeneity federated learning
Xinlei Yu, Zhipeng Gao, Zijian Xiong, et al.
Future Generation Computer Systems (2024), pp. 107528-107528
Closed Access
Adaptive Federated Learning Based on Device Performance in a Heterogeneous Environment of Medical Computing Devices
Jinquan Zhang, C.H. Wang, Rendong Yang, et al.
Communications in computer and information science (2024), pp. 304-316
Closed Access
Personalized Medical Federated Learning Based on Mutual Knowledge Distillation in Object Heterogeneous Environment
Lina Ni, Chenglin Song, H. Zhao, et al.
Communications in computer and information science (2024), pp. 362-374
Closed Access
Devising an actor-based middleware support to federated learning experiments and systems
Alessio Bechini, José Luis Corcuera Bárcena
Future Generation Computer Systems (2024), pp. 107646-107646
Open Access
ACFed: Communication-Efficient & Class-Balancing Federated Learning with Adaptive Consensus Dropout & Model Quantization
Shaif Chowdhury, A. Simon Carney, Greg Hamerly, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 7707-7716
Closed Access
Page 1

Scroll to top