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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:

Federated Graph Neural Networks: Overview, Techniques, and Challenges
Rui Liu, Pengwei Xing, Zichao Deng, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 3, pp. 4279-4295
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Decentralized Federated Learning: A Survey and Perspective
Liangqi Yuan, Ziran Wang, Lichao Sun, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 21, pp. 34617-34638
Open Access | Times Cited: 39
Trustworthy Graph Neural Networks: Aspects, Methods, and Trends
He Zhang, Bang Ye Wu, Xingliang Yuan, et al.
Proceedings of the IEEE (2024) Vol. 112, Iss. 2, pp. 97-139
Open Access | Times Cited: 30
Mitigating data imbalance and generating better prototypes in heterogeneous Federated Graph Learning
Xiangjie Kong, Haopeng Yuan, Guojiang Shen, et al.
Knowledge-Based Systems (2024) Vol. 296, pp. 111876-111876
Closed Access | Times Cited: 4
Diagnosis of Alzheimer’s disease using FusionNet with improved secretary bird optimization algorithm for optimal MK-SVM based on imaging genetic data
Luyun Wang, Jinhua Sheng, Qiao Zhang, et al.
Cerebral Cortex (2025)
Closed Access
Label-Flipping Attacks in GNN-Based Federated Learning
Shanqing Yu, Jie Shen, Shaocong Xu, et al.
IEEE Transactions on Network Science and Engineering (2025) Vol. 12, Iss. 2, pp. 1357-1368
Closed Access
A review of graph-powered data quality applications for IoT monitoring sensor networks
Pau Ferrer-Cid, José M. Barceló-Ordinas, Jorge Garcı́a-Vidal
Journal of Network and Computer Applications (2025) Vol. 236, pp. 104116-104116
Closed Access
Cf-Wiad: Consistency Fusion with Weighted Instance and Adaptive Distribution for Enhanced Semi-Supervised Skin Lesion Classification
Dandan Wang, Kang An, Yaling Mo, et al.
(2025)
Closed Access
BAKER: Bayesian Kernel Uncertainty in Domain-Specific Document Modelling
Ubaid Azam, Imran Razzak, Shelly Vishwakarma, et al.
(2025), pp. 382-391
Closed Access
D-FGNAE: Decentralized Federated Graph Normalized AutoEncoder
Yuting Liang, Weixin Cai, Kun Guo
Communications in computer and information science (2025), pp. 281-296
Closed Access
Learning and Inference of Graph Discrete Structures for Graph Neural Networks in ML
T. S. Swapna, Rajendhar Reddy Gaddam, S. Dhanalakshmi, et al.
Cognitive science and technology (2025), pp. 291-301
Closed Access
Federated Learning in der Arbeitsplanung
Marco Hussong, Matthias Klar, Jan C. Aurich
Zeitschrift für wirtschaftlichen Fabrikbetrieb (2025) Vol. 120, Iss. s1, pp. 269-273
Closed Access
A Decentralized Federated Learning model based on population mobility networks: A case study of the COVID-19 pandemic
Bo Guan, Yaoliang Ren, Yongxin Zhang
Chaos Solitons & Fractals (2025) Vol. 196, pp. 116396-116396
Closed Access
Temporal transaction network anomaly detection for Industrial Internet of Things with federated graph neural networks
Qingyong Wang, Beibei Han
Computers & Industrial Engineering (2025), pp. 111122-111122
Closed Access
Horizontal Federated Heterogeneous Graph Learning: A Multi-Scale Adaptive Solution to Data Distribution Challenges
Jia Wang, Yawen Li, Zhe Xue, et al.
(2025), pp. 4582-4591
Closed Access
NI-GDBA: Non-Intrusive Distributed Backdoor Attack Based on Adaptive Perturbation on Federated Graph Learning
Ken Li, Bin Shi, J.Y. Wei, et al.
(2025), pp. 852-862
Closed Access
A spatiotemporal graph attention network-based SOH estimation method for lithium batteries in cross-temperature scenarios
Yuqian Fan, Yi Li, Ye Yuan, et al.
Journal of Energy Storage (2025) Vol. 123, pp. 116752-116752
Closed Access
HHGNN: Hyperbolic Hypergraph Convolutional Neural Network based on variational autoencoder
Zhangyu Mei, Xiao Bi, Yating Wen, et al.
Neurocomputing (2024) Vol. 601, pp. 128225-128225
Closed Access | Times Cited: 3
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications
Yi Zhang, Yuying Zhao, Zhaoqing Li, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 12, pp. 7497-7515
Open Access | Times Cited: 2
BiG-Fed: Bilevel Optimization Enhanced Graph-Aided Federated Learning
Pengwei Xing, Songtao Lu, Lingfei Wu, et al.
IEEE Transactions on Big Data (2022) Vol. 10, Iss. 6, pp. 903-914
Closed Access | Times Cited: 10
Privacy-Preserving Multi-Label Propagation Based on Federated Learning
Kun Guo, Dangrun Chen, Qingqing Huang, et al.
IEEE Transactions on Network Science and Engineering (2023) Vol. 11, Iss. 1, pp. 886-899
Closed Access | Times Cited: 4
An Adaptive Federated Relevance Framework for Spatial–Temporal Graph Learning
Tiehua Zhang, Yuze Liu, Zhishu Shen, et al.
IEEE Transactions on Artificial Intelligence (2023) Vol. 5, Iss. 5, pp. 2227-2240
Open Access | Times Cited: 4
FedSG: A Personalized Subgraph Federated Learning Framework on Multiple Non-IID Graphs
Yingcheng Wang, Songtao Guo, Dewen Qiao, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2024) Vol. 8, Iss. 5, pp. 3678-3690
Closed Access | Times Cited: 1
A Survey of Computationally Efficient Graph Neural Networks for Reconfigurable Systems
Habib Taha Kose, Jose Nunez‐Yanez, Robert J. Piechocki, et al.
Information (2024) Vol. 15, Iss. 7, pp. 377-377
Open Access | Times Cited: 1
FedLD: Federated Learning for Privacy-Preserving Collaborative Landslide Detection
Xiaochuan Tang, Xiaochuang Yan, Xiaojun Yuan, et al.
IEEE Geoscience and Remote Sensing Letters (2024) Vol. 21, pp. 1-5
Closed Access | Times Cited: 1
Differentially Private Client Selection and Resource Allocation in Federated Learning for Medical Applications Using Graph Neural Networks
Sotiris Messinis, Nicholas Ε. Protonotarios, Nikolaos Doulamis
Sensors (2024) Vol. 24, Iss. 16, pp. 5142-5142
Open Access | Times Cited: 1
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