Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 Spectral Clustering Network
Zhenyu Huang, Joey Tianyi Zhou, Xi Peng, et al.
(2019), pp. 2563-2569
Open Access | Times Cited: 108

Showing 1-25 of 108 citing articles:

Ensemble deep learning in bioinformatics
Yue Cao, Thomas A. Geddes, Jean Yang, et al.
Nature Machine Intelligence (2020) Vol. 2, Iss. 9, pp. 500-508
Closed Access | Times Cited: 256
Multi-View Clustering in Latent Embedding Space
Man-Sheng Chen, Ling Huang, Chang‐Dong Wang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2020) Vol. 34, Iss. 04, pp. 3513-3520
Open Access | Times Cited: 223
Deep multi-view learning methods: A review
Xiaoqiang Yan, Shizhe Hu, Yiqiao Mao, et al.
Neurocomputing (2021) Vol. 448, pp. 106-129
Open Access | Times Cited: 206
Robust Multi-View Clustering With Incomplete Information
Mouxing Yang, Yunfan Li, Peng Hu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 1, pp. 1055-1069
Closed Access | Times Cited: 196
A Survey on Incomplete Multiview Clustering
Jie Wen, Zheng Zhang, Lunke Fei, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2022) Vol. 53, Iss. 2, pp. 1136-1149
Closed Access | Times Cited: 147
Partially View-aligned Representation Learning with Noise-robust Contrastive Loss
Mouxing Yang, Yunfan Li, Zhenyu Huang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 1134-1143
Closed Access | Times Cited: 119
Generative Partial Multi-View Clustering With Adaptive Fusion and Cycle Consistency
Qianqian Wang, Zhengming Ding, Zhiqiang Tao, et al.
IEEE Transactions on Image Processing (2021) Vol. 30, pp. 1771-1783
Closed Access | Times Cited: 107
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: 74
To Compress or Not to Compress—Self-Supervised Learning and Information Theory: A Review
Ravid Shwartz Ziv, Yann LeCun
Entropy (2024) Vol. 26, Iss. 3, pp. 252-252
Open Access | Times Cited: 30
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
Deep Multi-View Subspace Clustering With Unified and Discriminative Learning
Qianqian Wang, Jiafeng Cheng, Quanxue Gao, et al.
IEEE Transactions on Multimedia (2020) Vol. 23, pp. 3483-3493
Closed Access | Times Cited: 129
Computational strategies for single-cell multi-omics integration
Nigatu Adossa, Sofia Khan, Kalle T. Rytkönen, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 2588-2596
Open Access | Times Cited: 75
Relaxed multi-view clustering in latent embedding space
Man-Sheng Chen, Ling Huang, Chang‐Dong Wang, et al.
Information Fusion (2020) Vol. 68, pp. 8-21
Closed Access | Times Cited: 73
Deep Spectral Representation Learning From Multi-View Data
Zhenyu Huang, Joey Tianyi Zhou, Hongyuan Zhu, et al.
IEEE Transactions on Image Processing (2021) Vol. 30, pp. 5352-5362
Closed Access | Times Cited: 73
One-pass Multi-view Clustering for Large-scale Data
Jiyuan Liu, Xinwang Liu, Yuexiang Yang, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 12324-12333
Closed Access | Times Cited: 60
Adversarial Multiview Clustering Networks With Adaptive Fusion
Qianqian Wang, Zhiqiang Tao, Wei Xia, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 10, pp. 7635-7647
Closed Access | Times Cited: 55
Nonconvex low-rank tensor approximation with graph and consistent regularizations for multi-view subspace learning
Baicheng Pan, Chuandong Li, Hangjun Che
Neural Networks (2023) Vol. 161, pp. 638-658
Closed Access | Times Cited: 35
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: 32
Dual Fusion-Propagation Graph Neural Network for Multi-View Clustering
Shunxin Xiao, Shide Du, Zhaoliang Chen, et al.
IEEE Transactions on Multimedia (2023) Vol. 25, pp. 9203-9215
Closed Access | Times Cited: 26
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: 26
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
Incomplete multi-view learning: Review, analysis, and prospects
Jingjing Tang, Qingqing Yi, Saiji Fu, et al.
Applied Soft Computing (2024) Vol. 153, pp. 111278-111278
Closed Access | Times Cited: 8
Deep Multiview Clustering by Pseudo-Label Guided Contrastive Learning and Dual Correlation Learning
Shizhe Hu, Chengkun Zhang, Guoliang Zou, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 2, pp. 3646-3658
Closed Access | Times Cited: 8
Graph Contrastive Partial Multi-View Clustering
Yiming Wang, Dongxia Chang, Zhiqiang Fu, et al.
IEEE Transactions on Multimedia (2022) Vol. 25, pp. 6551-6562
Closed Access | Times Cited: 34
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
Page 1 - Next Page

Scroll to top