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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:

Combining Label Propagation and Simple Models Out-performs Graph Neural Networks
Qian Huang, Horace He, Abhay Pratap Singh, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 108

Showing 1-25 of 108 citing articles:

A Metaverse: Taxonomy, Components, Applications, and Open Challenges
Sangmin Park, Young‐Gab Kim
IEEE Access (2022) Vol. 10, pp. 4209-4251
Open Access | Times Cited: 1318
Graph-Based Semi-Supervised Learning: A Comprehensive Review
Zixing Song, Xiangli Yang, Zenglin Xu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 11, pp. 8174-8194
Open Access | Times Cited: 166
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
Weihua Hu, Matthias Fey, Hongyu Ren, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 95
Attention-driven Graph Clustering Network
Zhihao Peng, Hui Liu, Yuheng Jia, et al.
Proceedings of the 30th ACM International Conference on Multimedia (2021), pp. 935-943
Open Access | Times Cited: 77
Graph Attention Multi-Layer Perceptron
Wentao Zhang, Ziqi Yin, Zeang Sheng, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022), pp. 4560-4570
Open Access | Times Cited: 65
Green learning: Introduction, examples and outlook
C.‐C. Jay Kuo, Azad M. Madni
Journal of Visual Communication and Image Representation (2022) Vol. 90, pp. 103685-103685
Open Access | Times Cited: 57
Simplifying approach to node classification in Graph Neural Networks
Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
Journal of Computational Science (2022) Vol. 62, pp. 101695-101695
Open Access | Times Cited: 47
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning
Kaize Ding, Jianling Wang, James Caverlee, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 6, pp. 6524-6531
Open Access | Times Cited: 32
Label Information Enhanced Fraud Detection against Low Homophily in Graphs
Yuchen Wang, Jinghui Zhang, Zhengjie Huang, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 406-416
Open Access | Times Cited: 19
Multistructure Graph Classification Method With Attention-Based Pooling
Yuhua Xu, Junli Wang, Mingjian Guang, et al.
IEEE Transactions on Computational Social Systems (2022) Vol. 10, Iss. 2, pp. 602-613
Closed Access | Times Cited: 22
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks
Zhiqian Chen, Fanglan Chen, Lei Zhang, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 5, pp. 1-42
Open Access | Times Cited: 13
A unified framework for convolution-based graph neural networks
Xuran Pan, X. Y. Han, Chaofei Wang, et al.
Pattern Recognition (2024) Vol. 155, pp. 110597-110597
Closed Access | Times Cited: 5
Graph Condensation for Inductive Node Representation Learning
Xinyi Gao, Tong Chen, Yilong Zang, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 3056-3069
Open Access | Times Cited: 5
Heterogeneous graph neural network with relation-aware label propagation for unbalanced node classification
Chengcheng Sun, Cheng Zhai, Qihan Feng, et al.
Physica A Statistical Mechanics and its Applications (2025) Vol. 660, pp. 130369-130369
Closed Access
Human-Computer Interaction Strategies to Alleviate Information Overload in Business Contexts
Xiangxing Wan, Jiakun Liu
International Journal of Human-Computer Interaction (2025), pp. 1-14
Closed Access
DeeperGCN: Training Deeper GCNs with Generalized Aggregation Functions
Guohao Li, Chenxin Xiong, Guocheng Qian, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023), pp. 1-12
Closed Access | Times Cited: 11
MGH: Metadata Guided Hypergraph Modeling for Unsupervised Person Re-identification
Yiming Wu, Xintian Wu, Xi Li, et al.
Proceedings of the 30th ACM International Conference on Multimedia (2021)
Open Access | Times Cited: 25
Bag of Tricks for Node Classification with Graph Neural Networks
Yangkun Wang, Jiarui Jin, Weinan Zhang, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 24
Graph Machine Learning for Improved Imputation of Missing Tropospheric Ozone Data
Clara Betancourt, Cathy W. Y. Li, Felix Kleinert, et al.
Environmental Science & Technology (2023) Vol. 57, Iss. 46, pp. 18246-18258
Open Access | Times Cited: 10
CLDG: Contrastive Learning on Dynamic Graphs
Yiming Xu, Bin Shi, Teng Ma, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2023), pp. 696-707
Closed Access | Times Cited: 9
Federated IoT Interaction Vulnerability Analysis
Guangjing Wang, Hanqing Guo, Anran Li, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2023), pp. 1517-1530
Closed Access | Times Cited: 9
Prediction of Churning Game Users Based on Social Activity and Churn Graph Neural Networks
You Jung Han, Jihoon Moon, Jiyoung Woo
IEEE Access (2024) Vol. 12, pp. 101971-101984
Open Access | Times Cited: 3
Understanding and Resolving Performance Degradation in Graph Convolutional Networks
Kuangqi Zhou, Yanfei Dong, Kaixin Wang, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 24
Differentially Private Graph Neural Networks for Whole-Graph Classification
Tamara T. Mueller, Johannes C. Paetzold, Chinmay Prabhakar, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 6, pp. 7308-7318
Open Access | Times Cited: 15
LightEA: A Scalable, Robust, and Interpretable Entity Alignment Framework via Three-view Label Propagation
Xin Mao, Meng Wan, Yuanbin Wu, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 825-838
Open Access | Times Cited: 15
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