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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:

Jointly Attacking Graph Neural Network and its Explanations
Wenqi Fan, Han Xu, Wei Jin, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2023), pp. 654-667
Open Access | Times Cited: 14

Showing 14 citing articles:

Recommender Systems in the Era of Large Language Models (LLMs)
Zihuai Zhao, Wenqi Fan, Jiatong Li, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 11, pp. 6889-6907
Open Access | Times Cited: 50
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang, Bang Ye Wu, Xingliang Yuan, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 35
Fairly Adaptive Negative Sampling for Recommendations
Xiao Chen, Wenqi Fan, Jingfan Chen, et al.
Proceedings of the ACM Web Conference 2022 (2023)
Open Access | Times Cited: 20
SoK: Explainable Machine Learning in Adversarial Environments
Maximilian Noppel, Christian Wressnegger
2022 IEEE Symposium on Security and Privacy (SP) (2024) Vol. 97, pp. 2441-2459
Closed Access | Times Cited: 5
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
Adversarial Attacks for Black-Box Recommender Systems via Copying Transferable Cross-Domain User Profiles
Wenqi Fan, Xiangyu Zhao, Qing Li, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 12, pp. 12415-12429
Closed Access | Times Cited: 10
Private Graph Extraction via Feature Explanations
Iyiola E. Olatunji, Mandeep Rathee, Thorben Funke, et al.
Proceedings on Privacy Enhancing Technologies (2023) Vol. 2023, Iss. 2, pp. 59-78
Open Access | Times Cited: 4
Trustworthy Recommender Systems: Foundations and Frontiers
Wenqi Fan, Xiangyu Zhao, Lin Wang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 5796-5797
Closed Access | Times Cited: 2
Key Vulnerable Nodes Discovery Based on Bayesian Attack Subgraphs and Improved Fuzzy C-Means Clustering
Yuhua Xu, Yang Liu, Zhixin Sun, et al.
Mathematics (2024) Vol. 12, Iss. 10, pp. 1447-1447
Open Access
Graph Unlearning with Efficient Partial Retraining
Jiahao Zhang
(2024), pp. 1218-1221
Open Access
Knowledge Graph Relation Patterns Networks for Recommendations
Yongyi Liu, Shanru Lin, Jiangtao Huang
Lecture notes in computer science (2024), pp. 131-145
Closed Access
Robust Interpreter for Graph Neural Network with Neuron Explanation Component
Jinyin Chen, Guohan Huang, Haibin Zheng, et al.
(2023)
Closed Access
Stability of Explainable Recommendation
Sairamvinay Vijayaraghavan, Prasant Mohapatra
(2023), pp. 947-954
Open Access
Working capacity of deep networks with topology attacks
Longjie Zhang, Yong Chen, Ikram Ali
Research Square (Research Square) (2021)
Open Access
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