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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:

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

Showing 24 citing articles:

Decoupled Contrastive Multi-View Clustering with High-Order Random Walks
Yiding Lu, Yijie Lin, Mouxing Yang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 13, pp. 14193-14201
Open Access | Times Cited: 16
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
Elastic Multi-view Subspace Clustering with Pairwise and High-order Correlations
Yalan Qin, Nan Pu, Hanzhou Wu
IEEE Transactions on Knowledge and Data Engineering (2023), pp. 1-13
Closed Access | Times Cited: 19
UNAGI: Unified neighbor-aware graph neural network for multi-view clustering
Zheming Xu, Congyan Lang, Lili Wei, et al.
Neural Networks (2025) Vol. 185, pp. 107193-107193
Closed Access
Multi-view clustering integrating anchor attribute and structural information
Xuetong Li, Xiao‐Dong Zhang
Neurocomputing (2025), pp. 129689-129689
Closed Access
Semantic consistency learning for unsupervised multi-modal person re-identification
Yuxin Zhang, Teng Zhu, Baopeng Zhang
Image and Vision Computing (2025), pp. 105434-105434
Closed Access
Deep contrastive coordinated multi-view consistency clustering
Fuhao Shi, Shaohua Wan, Shengli Wu, et al.
Machine Learning (2025) Vol. 114, Iss. 3
Closed Access
Self-supervised disentangled representation learning with distribution alignment for multi-view clustering
Zhenqiu Shu, Teng Sun, Zhengtao Yu
Digital Signal Processing (2025), pp. 105078-105078
Closed Access
DCMVC: Dual contrastive multi-view clustering
Pengyuan Li, Dongxia Chang, Zisen Kong, et al.
Neurocomputing (2025), pp. 129889-129889
Closed Access
Two-step affinity matrix learning for multi-view subspace clustering
Tao Zhang, Yunhao Yuan, Xiaobo Shen, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122765-122765
Closed Access | Times Cited: 7
Efficient Anchor Graph Factorization for Multi-View Clustering
Jing Li, Qianqian Wang, Ming Yang, et al.
IEEE Transactions on Multimedia (2023) Vol. 26, pp. 5834-5845
Closed Access | Times Cited: 7
Multi-view clustering algorithm based on feature learning and structure learning
Guoping Kong, Yingcang Ma, Zhiwei Xing, et al.
Neurocomputing (2024) Vol. 601, pp. 128138-128138
Closed Access | Times Cited: 2
Learning latent disentangled embeddings and graphs for multi-view clustering
Chengqi Zhang, Haoxing Chen, Huaxiong Li, et al.
Pattern Recognition (2024) Vol. 156, pp. 110839-110839
Closed Access | Times Cited: 2
Structural deep multi-view clustering with integrated abstraction and detail
Bowei Chen, Sen Xu, Heyang Xu, et al.
Neural Networks (2024) Vol. 175, pp. 106287-106287
Closed Access | Times Cited: 1
MFC-ACL: Multi-view fusion clustering with attentive contrastive learning
Xin Huang, Ranqiao Zhang, Yuanyuan Li, et al.
Neural Networks (2024) Vol. 184, pp. 107055-107055
Closed Access | Times Cited: 1
Toward deep multi-view document clustering using enhanced semantic embedding and consistent context semantics
Yongsheng Du, Hongwei Sun, MohammadJavad Abdollahi
Knowledge and Information Systems (2024) Vol. 67, Iss. 2, pp. 1073-1100
Closed Access
Dual-dimensional contrastive learning for incomplete multi-view clustering
Zhengzhong Zhu, Chujun Pu, Xuejie Zhang, et al.
Neurocomputing (2024), pp. 128892-128892
Closed Access
Deep multi-view clustering based on global hybrid alignment with cross-contrastive learning
Yang Yang, Changming Zhu
The Visual Computer (2024)
Closed Access
Unifying complete and incomplete multi-view clustering through an information-theoretic generative model
Yanghang Zheng, Zhenhao Huang, Haonan Huang, et al.
Neural Networks (2024) Vol. 182, pp. 106901-106901
Closed Access
Enhancing Multi-View Deep Image Clustering via Contrastive Learning for Global and Local Consistency
Fuhao Shi, Hu Lu
Research Square (Research Square) (2024)
Open Access
Deep Contrastive Multi-view Clustering Under Semantic Feature Guidance
Siwen Liu, Hanning Yuan, Ziqiang Yuan, et al.
Lecture notes in computer science (2024), pp. 417-431
Closed Access
Universal Representations for Well-Logging Data via Ensembling of Self-Supervised Models
Vladimir Zholobov, Evgenia Romanenkova, S. Egorov, et al.
Doklady Mathematics (2024) Vol. 110, Iss. S1, pp. S126-S136
Open Access
Contrastive Alignment for Deep Multi-view Subspace Clustering
Jiao Wang, Bin Wu, Hongying Zhang, et al.
(2023), pp. 717-721
Closed Access | Times Cited: 1
EEG Signal-Assisted Algebraic Topological Feature-Enhanced Deep Neural Networks for Gestalt Illusory Contour Perception
Fei Ni, Zhifeng Zhao, Rongpeng Li, et al.
IEEE Access (2023) Vol. 11, pp. 96029-96042
Open Access
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