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:

Simple Contrastive Graph Clustering
Yue Liu, Xihong Yang, Sihang Zhou, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 10, pp. 13789-13800
Open Access | Times Cited: 82

Showing 1-25 of 82 citing articles:

Cluster-Guided Contrastive Graph Clustering Network
Xihong Yang, Yue Liu, Sihang Zhou, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 9, pp. 10834-10842
Open Access | Times Cited: 64

Hard Sample Aware Network for Contrastive Deep Graph Clustering
Yue Liu, Xihong Yang, Sihang Zhou, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 7, pp. 8914-8922
Open Access | Times Cited: 57

Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure
Ke Liang, Yue Liu, Sihang Zhou, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 1, pp. 226-238
Open Access | Times Cited: 56

Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View
Jingcan Duan, Siwei Wang, Pei Zhang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 6, pp. 7459-7467
Open Access | Times Cited: 54

DealMVC: Dual Contrastive Calibration for Multi-view Clustering
Xihong Yang, Jiaqi Jin, Siwei Wang, et al.
(2023), pp. 337-346
Open Access | Times Cited: 44

One-Step Multi-View Clustering With Diverse Representation
Xinhang Wan, Jiyuan Liu, Xinbiao Gan, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 3, pp. 5774-5786
Open Access | Times Cited: 24

Auto-Weighted Multi-View Clustering for Large-Scale Data
Xinhang Wan, Xinwang Liu, Jiyuan Liu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 8, pp. 10078-10086
Open Access | Times Cited: 34

Substructure Aware Graph Neural Networks
Dingyi Zeng, Wanlong Liu, Wenyu Chen, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 9, pp. 11129-11137
Open Access | Times Cited: 31

CONVERT: Contrastive Graph Clustering with Reliable Augmentation
Xihong Yang, Cheng Tan, Yue Liu, et al.
(2023), pp. 319-327
Open Access | Times Cited: 27

Multi-view contrastive clustering via integrating graph aggregation and confidence enhancement
Jintang Bian, Xiaohua Xie, Jianhuang Lai, et al.
Information Fusion (2024) Vol. 108, pp. 102393-102393
Closed Access | Times Cited: 13

Contrastive and adversarial regularized multi-level representation learning for incomplete multi-view clustering
Haiyue Wang, Wensheng Zhang, Xiaoke Ma
Neural Networks (2024) Vol. 172, pp. 106102-106102
Closed Access | Times Cited: 12

Fast Continual Multi-View Clustering With Incomplete Views
Xinhang Wan, Bin Xiao, Xinwang Liu, et al.
IEEE Transactions on Image Processing (2024) Vol. 33, pp. 2995-3008
Open Access | Times Cited: 10

Mixed Graph Contrastive Network for Semi-supervised Node Classification
Xihong Yang, Yiqi Wang, Yue Liu, et al.
ACM Transactions on Knowledge Discovery from Data (2024) Vol. 18, Iss. 7, pp. 1-19
Open Access | Times Cited: 9

MHGC: Multi-scale hard sample mining for contrastive deep graph clustering
Tao Ren, H. F. Zhang, Yifan Wang, et al.
Information Processing & Management (2025) Vol. 62, Iss. 4, pp. 104084-104084
Closed Access | Times Cited: 1

Let the Data Choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-View Clustering
Pei Zhang, Siwei Wang, Liang Li, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 9, pp. 11262-11269
Open Access | Times Cited: 19

SARF: Aliasing Relation–Assisted Self-Supervised Learning for Few-Shot Relation Reasoning
Lingyuan Meng, Ke Liang, Bin Xiao, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 2, pp. 3587-3597
Open Access | Times Cited: 8

Block-Diagonal Guided DBSCAN Clustering
Zheng Xing, Weibing Zhao
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 11, pp. 5709-5722
Open Access | Times Cited: 8

Anchor-Sharing and Clusterwise Contrastive Network for Multiview Representation Learning
Weiqing Yan, Yuanyang Zhang, Chang Tang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 2, pp. 3797-3807
Closed Access | Times Cited: 7

DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization
Aritra Bhowmick, Mert Kosan, Zexi Huang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 10, pp. 11069-11077
Open Access | Times Cited: 7

Reinforcement Graph Clustering with Unknown Cluster Number
Yue Liu, Ke Liang, Jun Xia, et al.
(2023), pp. 3528-3537
Open Access | Times Cited: 12

Deep clustering framework review using multicriteria evaluation
Frédéric Ros, Rabia Riad, Serge Guillaume
Knowledge-Based Systems (2024) Vol. 285, pp. 111315-111315
Closed Access | Times Cited: 4

GANN: Graph Alignment Neural Network for semi-supervised learning
Linxuan Song, Wenxuan Tu, Sihang Zhou, et al.
Pattern Recognition (2024) Vol. 154, pp. 110484-110484
Open Access | Times Cited: 4

Scalable Incomplete Multi-View Clustering with Structure Alignment
Yi Wen, Siwei Wang, Ke Liang, et al.
(2023), pp. 3031-3040
Open Access | Times Cited: 10

Cluster-Based Routing Protocol Design Using Gated Fusion Adaptive Graph Neural Network in Wireless Sensor Networks
Devendra Kumar, Prabhat Kumar
IETE Journal of Research (2025), pp. 1-13
Closed Access

Multi-scale 4D localized spatio-temporal graph convolutional networks for spatio-temporal sequences forecasting in aluminum electrolysis
Yubo Sun, Xiaofang Chen, Weihua Gui, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103222-103222
Closed Access

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