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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-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering
Jie Xu, Yazhou Ren, Huayi Tang, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 9214-9223
Open Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

Multi-level Feature Learning for Contrastive Multi-view Clustering
Jie Xu, Huayi Tang, Yazhou Ren, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 16030-16039
Open Access | Times Cited: 171
Adaptive Feature Projection With Distribution Alignment for Deep Incomplete Multi-View Clustering
Jie Xu, Chao Li, Liang Peng, et al.
IEEE Transactions on Image Processing (2023) Vol. 32, pp. 1354-1366
Closed Access | Times Cited: 79
Representation Learning in Multi-view Clustering: A Literature Review
Man-Sheng Chen, Jiaqi Lin, Xianglong Li, et al.
Data Science and Engineering (2022) Vol. 7, Iss. 3, pp. 225-241
Open Access | Times Cited: 73
Simple Unsupervised Graph Representation Learning
Yujie Mo, Liang Peng, Jie Xu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 7, pp. 7797-7805
Open Access | Times Cited: 72
DealMVC: Dual Contrastive Calibration for Multi-view Clustering
Xihong Yang, Jiaqi Jin, Siwei Wang, et al.
(2023), pp. 337-346
Open Access | Times Cited: 42
Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity
Jie Xu, Chao Li, Yazhou Ren, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 8, pp. 8761-8769
Open Access | Times Cited: 63
Joint contrastive triple-learning for deep multi-view clustering
Shizhe Hu, Guoliang Zou, Chaoyang Zhang, et al.
Information Processing & Management (2023) Vol. 60, Iss. 3, pp. 103284-103284
Closed Access | Times Cited: 31
On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering
Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 24
Structure-guided feature and cluster contrastive learning for multi-view clustering
Zhenqiu Shu, Bin Li, Cunli Mao, et al.
Neurocomputing (2024) Vol. 582, pp. 127555-127555
Closed Access | Times Cited: 12
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: 10
Deep Safe Multi-view Clustering: Reducing the Risk of Clustering Performance Degradation Caused by View Increase
Huayi Tang, Yong Liu
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 202-211
Closed Access | Times Cited: 32
Deep Multi-view Subspace Clustering with Anchor Graph
Chenhang Cui, Yazhou Ren, Jingyu Pu, et al.
(2023), pp. 3577-3585
Open Access | Times Cited: 20
Comprehensive Multiview Representation Learning via Deep Autoencoder-Like Nonnegative Matrix Factorization
Haonan Huang, Guoxu Zhou, Qibin Zhao, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 5, pp. 5953-5967
Closed Access | Times Cited: 19
Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering
Zongmo Huang, Yazhou Ren, Xiaorong Pu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 7, pp. 7936-7943
Open Access | Times Cited: 18
Trustworthy multi-view clustering via alternating generative adversarial representation learning and fusion
Wenqi Yang, Minhui Wang, Chang Tang, et al.
Information Fusion (2024) Vol. 107, pp. 102323-102323
Closed Access | Times Cited: 7
Self-Weighted Contrastive Fusion for Deep Multi-View Clustering
Song Wu, Yan Zheng, Yazhou Ren, et al.
IEEE Transactions on Multimedia (2024) Vol. 26, pp. 9150-9162
Closed Access | Times Cited: 7
Deeply integrating latent consistent representations in high-noise multi-omics data for cancer subtyping
Yueyi Cai, Shunfang Wang
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 6
Deep multi-view clustering: A comprehensive survey of the contemporary techniques
Anal Roy Chowdhury, Avisek Gupta, Swagatam Das
Information Fusion (2025), pp. 103012-103012
Closed Access
Contrastive Multi-view Hyperbolic Hierarchical Clustering
Fangfei Lin, Bing Bai, Kun Bai, et al.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (2022), pp. 3250-3256
Open Access | Times Cited: 22
Dual Label-Guided Graph Refinement for Multi-View Graph Clustering
Yawen Ling, Jianpeng Chen, Yazhou Ren, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 7, pp. 8791-8798
Open Access | Times Cited: 15
A Clustering-Guided Contrastive Fusion for Multi-View Representation Learning
Guanzhou Ke, Guoqing Chao, Xiaoli Wang, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2023) Vol. 34, Iss. 4, pp. 2056-2069
Open Access | Times Cited: 15
Cross-view Topology Based Consistent and Complementary Information for Deep Multi-view Clustering
Zhibin Dong, Siwei Wang, Jiaqi Jin, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 19383-19394
Closed Access | Times Cited: 13
Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures
Gehui Xu, Jie Wen, Chengliang Liu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 14, pp. 16147-16155
Open Access | Times Cited: 4
Discovering common information in multi-view data
Q Zhang, Mingfei Lu, Shujian Yu, et al.
Information Fusion (2024) Vol. 108, pp. 102400-102400
Open Access | Times Cited: 4
A hierarchical consensus learning model for deep multi-view document clustering
Ruina Bai, Ruizhang Huang, Yanping Chen, et al.
Information Fusion (2024) Vol. 111, pp. 102507-102507
Closed Access | Times Cited: 4
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