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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:

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

Showing 1-25 of 63 citing articles:

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
Enhanced Tensor Low-Rank and Sparse Representation Recovery for Incomplete Multi-View Clustering
Chao Zhang, Huaxiong Li, Wei Lv, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 9, pp. 11174-11182
Open Access | Times Cited: 42
GCFAgg: Global and Cross-View Feature Aggregation for Multi-View Clustering
Weiqing Yan, Yuanyang Zhang, Chenlei Lv, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 19863-19872
Open Access | Times Cited: 41
Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding
Guoqing Chao, Yi Jiang, Dianhui Chu
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 10, pp. 11221-11229
Open Access | Times Cited: 26
Attribute-Missing Graph Clustering Network
Wenxuan Tu, Renxiang Guan, Sihang Zhou, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 14, pp. 15392-15401
Open Access | Times Cited: 16
A novel transformer autoencoder for multi-modal emotion recognition with incomplete data
Cheng Cheng, Wenzhe Liu, Zhaoxin Fan, et al.
Neural Networks (2024) Vol. 172, pp. 106111-106111
Closed Access | Times Cited: 15
Self-Guided Partial Graph Propagation for Incomplete Multiview Clustering
Cheng Liu, Rui Li, Si Wu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 8, pp. 10803-10816
Closed Access | Times Cited: 25
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: 11
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
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
Joint learning of data recovering and graph contrastive denoising for incomplete multi-view clustering
Haiyue Wang, Quan Wang, Qiguang Miao, et al.
Information Fusion (2023) Vol. 104, pp. 102155-102155
Closed Access | Times Cited: 18
Incomplete Multiview Clustering via Semidiscrete Optimal Transport for Multimedia Data Mining in IoT
Jing Gao, Peng Li, Asif Ali Laghari, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2023) Vol. 20, Iss. 6, pp. 1-20
Closed Access | Times Cited: 17
Subgraph Propagation and Contrastive Calibration for Incomplete Multiview Data Clustering
Zhibin Dong, Jiaqi Jin, Yuyang Xiao, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 2, pp. 3218-3230
Closed Access | Times Cited: 7
Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification
Chengliang Liu, Jinlong Jia, Jie Wen, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 12, pp. 13864-13872
Open Access | Times Cited: 7
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: 6
Prototype Matching Learning for Incomplete Multi-view Clustering
Honglin Yuan, Yuan Sun, Fei Zhou, et al.
IEEE Transactions on Image Processing (2025) Vol. 34, pp. 828-841
Closed Access
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
Federated Incomplete Multi-view Clustering with Heterogeneous Graph Neural Networks
Xueming Yan, Z.P. Wang, Yaochu Jin
Lecture notes in computer science (2025), pp. 61-76
Closed Access
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
Incomplete multi-view clustering via self-attention networks and feature reconstruction
Yong Zhang, Li Jiang, Da Liu, et al.
Applied Intelligence (2024) Vol. 54, Iss. 4, pp. 2998-3016
Closed Access | Times Cited: 4
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
Graph-guided imputation-free incomplete multi-view clustering
Shunshun Bai, Qinghai Zheng, Xiaojin Ren, et al.
Expert Systems with Applications (2024) Vol. 258, pp. 125165-125165
Closed Access | Times Cited: 4
Adaptive Structural-guided Multi-level Representation Learning with Graph Contrastive for incomplete multi-view clustering
Haiyue Wang, Wensheng Zhang, Quan Wang, et al.
Information Fusion (2025), pp. 103035-103035
Closed Access
Strengthening incomplete multi-view clustering: An attention contrastive learning method
Shudong Hou, Lanlan Guo, Xu Wei
Image and Vision Computing (2025), pp. 105493-105493
Closed Access
Incomplete Multi-View Clustering Via Correntropy and Complement Consensus Learning
Lei Xing, Yawen Song, Badong Chen, et al.
IEEE Transactions on Multimedia (2024) Vol. 26, pp. 8063-8076
Closed Access | Times Cited: 3
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