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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:

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

Showing 1-25 of 30 citing articles:

Unifying Large Language Models and Knowledge Graphs: A Roadmap
Shirui Pan, Linhao Luo, Yufei Wang, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 7, pp. 3580-3599
Closed Access | Times Cited: 297
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
Ming Jin, Huan Yee Koh, Qingsong Wen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 10466-10485
Open Access | Times Cited: 73
A Survey of Graph Neural Networks for Social Recommender Systems
Kartik Sharma, Yeon-Chang Lee, Sivagami Nambi, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 10, pp. 1-34
Open Access | Times Cited: 23
TrustGuard: GNN-based Robust and Explainable Trust Evaluation with Dynamicity Support
Jie Wang, Zheng Yan, Jiahe Lan, et al.
IEEE Transactions on Dependable and Secure Computing (2024) Vol. 21, Iss. 5, pp. 4433-4450
Closed Access | Times Cited: 8
Toward fair graph neural networks via real counterfactual samples
Zichong Wang, Meikang Qiu, Min Chen, et al.
Knowledge and Information Systems (2024) Vol. 66, Iss. 11, pp. 6617-6641
Closed Access | Times Cited: 8
Counterfactual Learning on Graphs: A Survey
Zhimeng Guo, Zongyu Wu, Teng Xiao, et al.
Deleted Journal (2025) Vol. 22, Iss. 1, pp. 17-59
Open Access | Times Cited: 1
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability
Enyan Dai, Tianxiang Zhao, Huaisheng Zhu, et al.
Deleted Journal (2024)
Open Access | Times Cited: 5
Open-Source AI Community as 'Trading Zone': The Role of Open-Source Models in the Diffusion of Artificial Intelligence Innovation Completed Research Paper
Kaige Gao, Youngjin Yoo, Aaron Schecter
(2025)
Closed Access
Enhancing strategic investment in construction engineering projects: A novel graph attention network decision-support model
Fatemeh Mostofi, Ümit Bahadır, Onur Behzat Tokdemir, et al.
Computers & Industrial Engineering (2025), pp. 111033-111033
Closed Access
Beyond Low-Pass Filtering: Graph Convolutional Networks With Automatic Filtering
Zonghan Wu, Shirui Pan, Guodong Long, et al.
IEEE Transactions on Knowledge and Data Engineering (2022) Vol. 35, Iss. 7, pp. 6687-6697
Open Access | Times Cited: 21
Analysis of gene regulatory networks from gene expression using graph neural networks
Hakan T. Otal, Abdülhamit Subaşı, Furkan Kurt, et al.
Elsevier eBooks (2025), pp. 249-270
Closed Access
Towards unveiling sensitive and decisive patterns in explainable AI with a case study in geometric deep learning
Jiajun Zhu, Siqi Miao, Rex Ying, et al.
Nature Machine Intelligence (2025)
Closed Access
A novel anomaly detection method for multivariate time series based on spatial-temporal graph learning
Jing Zhang, Xin Wang, Yang Yang, et al.
Journal of King Saud University - Computer and Information Sciences (2025) Vol. 37, Iss. 1-2
Open Access
Explainable graph convolutional network based on catastrophe theory and its application to group activity recognition
Junpeng Kang, Jing Zhang, Lin Chen, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 150, pp. 110634-110634
Closed Access
GBsim: A Robust GCN-BERT Approach for Cross-Architecture Binary Code Similarity Analysis
Jiang Du, Qiang Wei, Yisen Wang, et al.
Entropy (2025) Vol. 27, Iss. 4, pp. 392-392
Open Access
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
Toward Graph Self-Supervised Learning With Contrastive Adjusted Zooming
Yizhen Zheng, Ming Jin, Shirui Pan, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 7, pp. 8882-8896
Open Access | Times Cited: 10
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks
He Zhang, Xingliang Yuan, Shirui Pan
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 1712-1725
Open Access | Times Cited: 1
Graph Augmentation against Structural Poisoning Attacks via Structure and Attribute Reconciliation
Yifan Shao, Yumeng Dai, Chenxu Wang, et al.
Research Square (Research Square) (2024)
Open Access
A Relational Graph Convolution Network-Based Smart Risk Recognition Model for Financial Transactions
Li Zhang, Junmiao Deng
Journal of Circuits Systems and Computers (2024) Vol. 33, Iss. 16
Closed Access
Graph augmentation against structural poisoning attacks via structure and attribute reconciliation
Yumeng Dai, Yifan Shao, Chenxu Wang, et al.
International Journal of Machine Learning and Cybernetics (2024)
Closed Access
MAPPING: debiasing graph neural networks for fair node classification with limited sensitive information leakage
Ying Song, Balaji Palanisamy
World Wide Web (2024) Vol. 27, Iss. 6
Closed Access
GCS: A Graph-Augmented Semi-supervised Contrastive Learning Approach for Imbalanced Dissolved Gas Analysis in Power Transformers
Ke Shu, Huifang Ma, Li Yu, et al.
Lecture notes in computer science (2024), pp. 191-205
Closed Access
Enhanced multi-view anomaly detection on attribute networks by truncated singular value decomposition
Baozhen Lee, Yuwei Su, Qianwen Kong, et al.
International Journal of Machine Learning and Cybernetics (2024) Vol. 15, Iss. 11, pp. 5071-5089
Closed Access
Bootstrap Latent Prototypes for graph positive-unlabeled learning
Chunquan Liang, Yi Tian, Dongmin Zhao, et al.
Information Fusion (2024) Vol. 112, pp. 102553-102553
Closed Access
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