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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:

Data Augmentation for Deep Graph Learning
Kaize Ding, Zhe Xu, Hanghang Tong, et al.
ACM SIGKDD Explorations Newsletter (2022) Vol. 24, Iss. 2, pp. 61-77
Closed Access | Times Cited: 128

Showing 1-25 of 128 citing articles:

Self-Supervised Learning for Recommender Systems: A Survey
Junliang Yu, Hongzhi Yin, Xin Xia, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 1, pp. 335-355
Open Access | Times Cited: 177
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: 30
Towards high-accuracy axial springback: Mesh-based simulation of metal tube bending via geometry/process-integrated graph neural networks
Zili Wang, Caicheng Wang, Shuyou Zhang, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124577-124577
Closed Access | Times Cited: 26
Data-centric Artificial Intelligence: A Survey
Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, et al.
ACM Computing Surveys (2025)
Open Access | Times Cited: 8
Graph neural networks in histopathology: Emerging trends and future directions
Siemen Brussee, Giorgio Buzzanca, Anne M.R. Schrader, et al.
Medical Image Analysis (2025) Vol. 101, pp. 103444-103444
Open Access | Times Cited: 4
Enhancing link prediction in graph data augmentation through graphon mixup
Tangina Sultana, Md. Delowar Hossain, Md Golam Morshed, et al.
Neural Computing and Applications (2025)
Closed Access | Times Cited: 1
Text Classification Using Graph Convolutional Networks: A Comprehensive Survey
Syed Tarif Abbas Rizvi, Ramsha Imran, Arif Mahmood
ACM Computing Surveys (2025)
Open Access | Times Cited: 1
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
Self-supervised learning for graph-structured data in healthcare applications: A comprehensive review
Safa Ben Atitallah, Chaima Ben Rabah, Maha Driss, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109874-109874
Open Access | Times Cited: 1
Learning Strong Graph Neural Networks with Weak Information
Yixin Liu, Kaize Ding, Jianling Wang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 1559-1571
Open Access | Times Cited: 21
Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023
Mahboobeh Jafari, Delaram Sadeghi, Afshin Shoeibi, et al.
Applied Intelligence (2023) Vol. 54, Iss. 1, pp. 35-79
Closed Access | Times Cited: 20
Knowledge Graph Completion with Counterfactual Augmentation
Heng Chang, Jie Cai, Jia Li
Proceedings of the ACM Web Conference 2022 (2023), pp. 2611-2620
Open Access | Times Cited: 19
Sustainable collaboration: Federated learning for environmentally conscious forest fire classification in Green Internet of Things (IoT)
Ali Akbar Siddique, Nada Alasbali, Maha Driss, et al.
Internet of Things (2023) Vol. 25, pp. 101013-101013
Open Access | Times Cited: 18
A Multitask Dynamic Graph Attention Autoencoder for Imbalanced Multilabel Time Series Classification
Le Sun, Chenyang Li, Yongjun Ren, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 35, Iss. 9, pp. 11829-11842
Closed Access | Times Cited: 7
Large Language Models as Data Augmenters for Cold-Start Item Recommendation
Jianling Wang, Haokai Lu, James Caverlee, et al.
(2024), pp. 726-729
Open Access | Times Cited: 7
Controlled graph neural networks with denoising diffusion for anomaly detection
Xuan Li, Chunjing Xiao, Ziliang Feng, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121533-121533
Closed Access | Times Cited: 16
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation
Shuang Zhou, Xiao Huang, Ninghao Liu, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 12, pp. 12721-12735
Open Access | Times Cited: 14
Graph Convolutional Networks With Adaptive Neighborhood Awareness
Mingjian Guang, Chungang Yan, Yuhua Xu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 11, pp. 7392-7404
Closed Access | Times Cited: 6
Toward Robust Graph Semi-Supervised Learning Against Extreme Data Scarcity
Kaize Ding, Elnaz Nouri, Guo‐qing Zheng, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 35, Iss. 9, pp. 11661-11670
Open Access | Times Cited: 5
Few-shot Node Classification with Extremely Weak Supervision
Song Wang, Yushun Dong, Kaize Ding, et al.
(2023)
Open Access | Times Cited: 13
Self-Supervised Graph Structure Refinement for Graph Neural Networks
Jianan Zhao, Qianlong Wen, Mingxuan Ju, et al.
(2023), pp. 159-167
Open Access | Times Cited: 13
Graph Neural Network Operators: a Review
Anuj Sharma, Sukhdeep Singh, Sujay Ratna
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 23413-23436
Closed Access | Times Cited: 13
Privacy-Enhanced Pneumonia Diagnosis: IoT-Enabled Federated Multi-Party Computation in Industry 5.0
Ali Akbar Siddique, Wadii Boulila, Mohammed S. Alshehri, et al.
IEEE Transactions on Consumer Electronics (2023) Vol. 70, Iss. 1, pp. 1923-1939
Closed Access | Times Cited: 12
Contrastive Meta-Learning for Few-shot Node Classification
Song Wang, Zhen Tan, Huan Liu, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 2386-2397
Open Access | Times Cited: 11
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Ocheme Anthony Ekle, William Eberle
ACM Transactions on Knowledge Discovery from Data (2024) Vol. 18, Iss. 8, pp. 1-44
Open Access | Times Cited: 4
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