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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:

Multi-View Tensor Graph Neural Networks Through Reinforced Aggregation
Xusheng Zhao, Qiong Dai, Jia Wu, et al.
IEEE Transactions on Knowledge and Data Engineering (2022) Vol. 35, Iss. 4, pp. 4077-4091
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Unified One-Step Multi-View Spectral Clustering
Chang Tang, Zhenglai Li, Jun Wang, et al.
IEEE Transactions on Knowledge and Data Engineering (2022) Vol. 35, Iss. 6, pp. 6449-6460
Closed Access | Times Cited: 174
RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis
Xusheng Zhao, Hao Peng, Qiong Dai, et al.
(2024), pp. 976-984
Open Access | Times Cited: 13
RoSGAS : Adaptive Social Bot Detection with Reinforced Self-supervised GNN Architecture Search
Yingguang Yang, Renyu Yang, Yangyang Li, et al.
ACM Transactions on the Web (2022) Vol. 17, Iss. 3, pp. 1-31
Open Access | Times Cited: 33
Negative samples selecting strategy for graph contrastive learning
Rui Miao, Yintao Yang, Yao Ma, et al.
Information Sciences (2022) Vol. 613, pp. 667-681
Closed Access | Times Cited: 21
Enhanced neighborhood node graph neural networks for load forecasting in smart grid
Yanmei Jiang, Mingsheng Liu, Yangyang Li, et al.
International Journal of Machine Learning and Cybernetics (2023) Vol. 15, Iss. 1, pp. 129-148
Closed Access | Times Cited: 13
Graph neural networks for multi-view learning: a taxonomic review
Shunxin Xiao, Jiacheng Li, Jielong Lu, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 12
Open Access | Times Cited: 4
Spatial–Temporal Traffic Modeling With a Fusion Graph Reconstructed by Tensor Decomposition
Qin Li, Xuan Yang, Yong Wang, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 2, pp. 1749-1760
Open Access | Times Cited: 10
RSEA-MVGNN: Multi-view graph neural network with reliable structural enhancement and aggregation
Jun-Yu Chen, Long Shi, Badong Chen
Information Fusion (2025) Vol. 121, pp. 103143-103143
Closed Access
Dynamic and multigraph fusion spatio-temporal graph convolution network for short-term forecasting of urban rail transit passenger flow
Yuchen Xie, Jing Yang, Hongliang Zhang, et al.
Journal of Intelligent Transportation Systems (2025), pp. 1-16
Closed Access
Collaborative Graph Neural Networks for Attributed Network Embedding
Qiaoyu Tan, Xin Zhang, Xiao Huang, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 3, pp. 972-986
Open Access | Times Cited: 6
DMSTG: Dynamic Multiview Spatio-Temporal Networks for Traffic Forecasting
Zulong Diao, Xin Wang, Dafang Zhang, et al.
IEEE Transactions on Mobile Computing (2023) Vol. 23, Iss. 6, pp. 6865-6880
Closed Access | Times Cited: 6
Deep graph tensor learning for temporal link prediction
Zhen Liu, Zhongyi Li, Wen Li, et al.
Information Sciences (2024) Vol. 660, pp. 120085-120085
Closed Access | Times Cited: 2
AG-Meta: Adaptive graph meta-learning via representation consistency over local subgraphs
Yi Wang, Changqin Huang, Ming Li, et al.
Pattern Recognition (2024) Vol. 151, pp. 110387-110387
Closed Access | Times Cited: 2
Multi-graph aggregated graph neural network for heterogeneous graph representation learning
Shuailei Zhu, Xiaofeng Wang, Shuaiming Lai, et al.
International Journal of Machine Learning and Cybernetics (2024)
Closed Access | Times Cited: 2
AutoMSNet: Multi-Source Spatio-Temporal Network via Automatic Neural Architecture Search for Traffic Flow Prediction
Shen Fang, Chunxia Zhang, Shiming Xiang, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 24, Iss. 3, pp. 2827-2841
Closed Access | Times Cited: 10
Domain-Aware Federated Social Bot Detection with Multi-Relational Graph Neural Networks
Huailiang Peng, Yujun Zhang, Hao Sun, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2022), pp. 1-8
Closed Access | Times Cited: 9
The Combination of a Graph Neural Network Technique and Brain Imaging to Diagnose Neurological Disorders: A Review and Outlook
Shuoyan Zhang, Jiacheng Yang, Ying Zhang, et al.
Brain Sciences (2023) Vol. 13, Iss. 10, pp. 1462-1462
Open Access | Times Cited: 5
MVCV-Traffic: multiview road traffic state estimation via cross-view learning
Min Deng, Kaiqi Chen, Kaiyuan Lei, et al.
International Journal of Geographical Information Science (2023) Vol. 37, Iss. 10, pp. 2205-2237
Closed Access | Times Cited: 4
Line graph contrastive learning for node classification
Mingyuan Li, Lei Meng, Zhonglin Ye, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 4, pp. 102011-102011
Open Access | Times Cited: 1
An adaptive weighted self-representation method for incomplete multi-view clustering
Lishan Feng, Guoxu Zhou, Jingya Chang
International Journal of Machine Learning and Cybernetics (2024) Vol. 15, Iss. 10, pp. 4521-4536
Closed Access | Times Cited: 1
Digital Twin assisted Multi-View Reconstruction enhanced Domain Adaptation Graph Networks for Aero-engine Gas Path Fault Diagnosis
Changyi Xu, Xuecheng Gui, Ying Zhao
IEEE Sensors Journal (2024) Vol. 24, Iss. 13, pp. 21694-21705
Closed Access | Times Cited: 1
Enhanced spatial–temporal dynamics in pose forecasting through multi-graph convolution networks
Hongwei Ren, Xiangran Zhang, Yuhong Shi, et al.
International Journal of Machine Learning and Cybernetics (2024) Vol. 15, Iss. 11, pp. 5453-5467
Closed Access | Times Cited: 1
Information-controlled graph convolutional network for multi-view semi-supervised classification
Yongquan Shi, Yueyang Pi, Zhanghui Liu, et al.
Neural Networks (2024) Vol. 184, pp. 107102-107102
Closed Access | Times Cited: 1
Reinforcement Learning Guided Multi-Objective Exam Paper Generation
Yuhu Shang, Xuexiong Luo, Lihong Wang, et al.
Society for Industrial and Applied Mathematics eBooks (2023), pp. 829-837
Open Access | Times Cited: 3
Hierarchical Graph Contrastive Learning
Hao Yan, Senzhang Wang, Jun Yin, et al.
Lecture notes in computer science (2023), pp. 700-715
Closed Access | Times Cited: 2
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