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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:

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

Showing 1-25 of 47 citing articles:

Permutation Equivariant Graph Framelets for Heterophilous Graph Learning
Jianfei Li, Ruigang Zheng, Feng Han, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 35, Iss. 9, pp. 11634-11648
Open Access | Times Cited: 42
Similarity-navigated graph neural networks for node classification
Minhao Zou, Zhongxue Gan, Ruizhi Cao, et al.
Information Sciences (2023) Vol. 633, pp. 41-69
Open Access | Times Cited: 34
Graph Mamba: Towards Learning on Graphs with State Space Models
Ali Behrouz, Farnoosh Hashemi
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 119-130
Open Access | Times Cited: 11
Feature selection: Key to enhance node classification with graph neural networks
Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
CAAI Transactions on Intelligence Technology (2023) Vol. 8, Iss. 1, pp. 14-28
Open Access | Times Cited: 13
Edge-wise graph-instructed Neural Networks
Francesco Della Santa, Antonio Mastropietro, Sandra Pieraccini, et al.
Journal of Computational Science (2025), pp. 102518-102518
Open Access
Efficient Graph Representation Learning by Non-Local Information Exchange
Ziquan Wei, Tingting Dan, Jiaqi Ding, et al.
Electronics (2025) Vol. 14, Iss. 5, pp. 1047-1047
Open Access
A Hybrid Similarity-Aware Graph Neural Network with Transformer for Node Classification
Aman Singh, S. Dar, Ranveer Singh, et al.
Expert Systems with Applications (2025) Vol. 279, pp. 127292-127292
Closed Access
Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels
Fali Wang, Tianxiang Zhao, Suhang Wang
(2024), pp. 712-720
Open Access | Times Cited: 4
Addressing imbalance in graph datasets: Introducing GATE-GNN with graph ensemble weight attention and transfer learning for enhanced node classification
Abdul Joseph Fofanah, David Chen, Lian Wen, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124602-124602
Open Access | Times Cited: 4
MPGAAN: Effective and Efficient Heterogeneous Information Network Classification
Zhizhong Wu
Journal of Computer Science and Technology Studies (2024) Vol. 6, Iss. 4, pp. 08-16
Open Access | Times Cited: 4
Incomplete Multi-view Feature Selection with Adaptive Consensus Graph Constraint for Parkinson's Disease Diagnosis
Zhongwei Huang, Jianqiang Li, Jun Wan, et al.
Applied Soft Computing (2025), pp. 112739-112739
Closed Access
Enhanced Variational Graph Convolutional Networks with Multi-Scale Convolutions and Attention Mechanisms for Dynamic Network Analysis
Aabid A. Mir, Megat F. Zuhairi, Shahrulniza Musa, et al.
Engineering Technology & Applied Science Research (2025) Vol. 15, Iss. 1, pp. 19838-19847
Open Access
Multi-Level Graph Representation Learning Through Predictive Community-based Partitioning
Bo-Young Lim, Jeong-Ha Park, Kisung Lee, et al.
Proceedings of the ACM on Management of Data (2025) Vol. 3, Iss. 1, pp. 1-27
Open Access
SFSGNN: Soft Feature Selection Graph Neural Network for Alleviating Data Sparsity in Click-Through Rate Prediction
Junming Zhou, Chao Chang, Weisheng Li, et al.
Communications in computer and information science (2025), pp. 108-123
Closed Access
Causal integration in graph neural networks toward enhanced classification: benchmarking and advancements for robust performance
Simi Job, Xiaohui Tao, Taotao Cai, et al.
World Wide Web (2025) Vol. 28, Iss. 3
Open Access
PocketFinderGNN: A manufacturing feature recognition software based on Graph Neural Networks (GNNs) using PyTorch Geometric and NetworkX
Igor Betkier, Mateusz Oszczypała, Janusz Pobożniak, et al.
SoftwareX (2023) Vol. 23, pp. 101466-101466
Open Access | Times Cited: 7
Assessing Sensor Integrity for Nuclear Waste Monitoring Using Graph Neural Networks
Pierre Hembert, Chady Ghnatios, Julien Cotton, et al.
Sensors (2024) Vol. 24, Iss. 5, pp. 1580-1580
Open Access | Times Cited: 2
A Graph Neural Network Node Classification Application Model with Enhanced Node Association
Yuhang Zhang, Yaoqun Xu, Yu Zhang
Applied Sciences (2023) Vol. 13, Iss. 12, pp. 7150-7150
Open Access | Times Cited: 6
Graph Convolutional Network Design for Node Classification Accuracy Improvement
Mohammad Abrar Shakil Sejan, Md Habibur Rahman, Md Abdul Aziz, et al.
Mathematics (2023) Vol. 11, Iss. 17, pp. 3680-3680
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
DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy
Qiuchen Zhang, H. Lee, Jing Ma, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 1170-1181
Closed Access | Times Cited: 1
A novel dominating set and centrality based graph convolutional network for node classification
Neeraj Garg, Sneha Garg, Mahipal Jadeja, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
InDS: Intelligent DRL Strategy for Effective Virtual Network Embedding of an Online Virtual Network Requests
Keerthan Kumar T G, Sourav Kanti Addya, Shashidhar G Koolagudi
IEEE Access (2024) Vol. 12, pp. 94843-94860
Open Access | Times Cited: 1
Deciphering Crypto-Financial Media Diets: Crafting Ontologies for Insights
Harshini Karthikeyan Aiyyer, R. Priyadarshini, N. Rajendran
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2024), pp. 1-7
Closed Access | Times Cited: 1
Addressing Imbalance in Graph Datasets: Introducing Gate-Gnn with Graph Ensemble Weight Attention and Transfer Learning for Enhanced Node Classification
Abdul Joseph Fofanah
(2023)
Closed Access | Times Cited: 2
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