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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:

On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs
Hejie Cui, Zijie Lu, Li Pan, et al.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (2022), pp. 3898-3902
Open Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks
Hejie Cui, Wei Dai, Yanqiao Zhu, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 42, Iss. 2, pp. 493-506
Open Access | Times Cited: 75
Attribute-Missing Graph Clustering Network
Wenxuan Tu, Renxiang Guan, Sihang Zhou, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 14, pp. 15392-15401
Open Access | Times Cited: 17
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis
Hejie Cui, Wei Dai, Yanqiao Zhu, et al.
Lecture notes in computer science (2022), pp. 375-385
Closed Access | Times Cited: 53
Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network
Wenxuan Tu, Bin Xiao, Xinwang Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 2, pp. 3244-3257
Open Access | Times Cited: 6
Incomplete Graph Learning via Attribute-Structure Decoupled Variational Auto-Encoder
Xinke Jiang, Zidi Qin, Jiarong Xu, et al.
(2024)
Open Access | Times Cited: 5
Gene expression knowledge graph for patient representation and diabetes prediction
Rita T. Sousa, Heiko Paulheim
Journal of Biomedical Semantics (2025) Vol. 16, Iss. 1
Open Access
Graph Neural Networks for Graph Drawing
Matteo Tiezzi, Gabriele Ciravegna, Marco Gori
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 4, pp. 4668-4681
Open Access | Times Cited: 19
Knowledge Distillation Guided Interpretable Brain Subgraph Neural Networks for Brain Disorder Exploration
Xuexiong Luo, Jia Wu, Jian Yang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 2, pp. 3559-3572
Closed Access | Times Cited: 4
PaCEr: Network Embedding From Positional to Structural
Yuchen Yan, Yongyi Hu, Qinghai Zhou, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 2485-2496
Closed Access | Times Cited: 4
GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation
Han Huang, Leilei Sun, Bowen Du, et al.
2021 IEEE International Conference on Data Mining (ICDM) (2022), pp. 201-210
Open Access | Times Cited: 17
Graph Neural Network-based Android Malware Classification with Jumping Knowledge
Wai Weng Lo, Siamak Layeghy, Mohanad Sarhan, et al.
(2022), pp. 1-9
Open Access | Times Cited: 16
Structural Identity Representation Learning for Blockchain-Enabled Metaverse Based on Complex Network Analysis
Bishenghui Tao, Hong‐Ning Dai, Haoran Xie, et al.
IEEE Transactions on Computational Social Systems (2023) Vol. 10, Iss. 5, pp. 2214-2225
Open Access | Times Cited: 10
Predicting Information Pathways Across Online Communities
Yiqiao Jin, Yeon-Chang Lee, Kartik Sharma, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 1044-1056
Open Access | Times Cited: 9
CGAAD: Centrality- and Graph-Aware Deep-Learning Model for Detecting Cyberattacks Targeting Industrial Control Systems in Critical Infrastructure
Thuraya N.I. Alrumaih, Mohammed J. F. Alenazi
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 24162-24182
Closed Access | Times Cited: 3
How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation
Hejie Cui, Jiaying Lu, Yao Ge, et al.
Lecture notes in computer science (2022), pp. 75-83
Closed Access | Times Cited: 13
Planning for Multi-Object Manipulation with Graph Neural Network Relational Classifiers
Yixuan Huang, Adam Conkey, Tucker Hermans
(2023), pp. 1822-1829
Open Access | Times Cited: 7
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
Jing Zhu, Xiang Song, Vassilis N. Ioannidis, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 2662-2666
Open Access | Times Cited: 2
Reusability report: Capturing properties of biological objects and their relationships using graph neural networks
Chenyang Hong, Qin Cao, Zhenghao Zhang, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 3, pp. 222-226
Closed Access | Times Cited: 11
Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications
Fanchen Bu, Geon Lee, Kijung Shin
Data Mining and Knowledge Discovery (2023) Vol. 37, Iss. 6, pp. 2389-2437
Open Access | Times Cited: 4
Graph neural network guided by feature selection and centrality measures for Node Classification on Homophilic and Heterophily graphs
Asmaa M. Mahmoud, Heba F. Eid, Abeer S. Desuky, et al.
Al-Azhar Bulletin of Science (2024) Vol. 35, Iss. 1
Open Access | Times Cited: 1
GRAN Is Superior to GraphRNN: Node Orderings, Kernel- and Graph Embeddings-Based Metrics for Graph Generators
Ousmane Touat, Julian Stier, Pierre-Édouard Portier, et al.
Lecture notes in computer science (2024), pp. 430-444
Closed Access | Times Cited: 1
Dynamic Reactive Spiking Graph Neural Network
Han Zhao, Xu Yang, Cheng Deng, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 15, pp. 16970-16978
Open Access | Times Cited: 1
VilLain: Self-Supervised Learning on Homogeneous Hypergraphs without Features via Virtual Label Propagation
Geon Lee, Soo Y. Lee, Kijung Shin
Proceedings of the ACM Web Conference 2022 (2024), pp. 594-605
Closed Access | Times Cited: 1
Improving Issue-PR Link Prediction via Knowledge-aware Heterogeneous Graph Learning
Shuotong Bai, Huaxiao Liu, Enyan Dai, et al.
IEEE Transactions on Software Engineering (2024) Vol. 50, Iss. 7, pp. 1901-1920
Closed Access | Times Cited: 1
Deep Fraud Detection on Non-attributed Graph
Chen Wang, Yingtong Dou, Min Chen, et al.
2021 IEEE International Conference on Big Data (Big Data) (2021), pp. 5470-5473
Open Access | Times Cited: 10
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