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:

Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering
Jie Xu, Yazhou Ren, Huayi Tang, et al.
IEEE Transactions on Knowledge and Data Engineering (2022) Vol. 35, Iss. 7, pp. 7470-7482
Open Access | Times Cited: 117

Showing 51-75 of 117 citing articles:

Discriminative Regularized Input Manifold for multilayer perceptron
Rahul Mondal, Tandra Pal, Prasenjit Dey
Pattern Recognition (2024) Vol. 151, pp. 110421-110421
Closed Access | Times Cited: 3

Tensor schatten-p norm guided incomplete multi-view self-representation clustering
Wei Liu, Xiao‐Yuan Jing, Deyu Zeng, et al.
Knowledge-Based Systems (2024) Vol. 294, pp. 111733-111733
Closed Access | Times Cited: 3

Deep multi-view graph clustering network with weighting mechanism and collaborative training
Jing Liu, Fuyuan Cao, Xuechun Jing, et al.
Expert Systems with Applications (2023) Vol. 236, pp. 121298-121298
Closed Access | Times Cited: 10

Symmetric Multi-View Subspace Clustering With Automatic Neighbor Discovery
Huimin Ma, Siwei Wang, Junpu Zhang, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2024) Vol. 34, Iss. 9, pp. 8766-8778
Closed Access | Times Cited: 3

Self‐supervised multi‐view clustering in computer vision: A survey
Jiatai Wang, Zhiwei Xu, Xuewen Yang, et al.
IET Computer Vision (2024) Vol. 18, Iss. 6, pp. 709-734
Open Access | Times Cited: 3

IGCNN-FC: Boosting interpretability and generalization of convolutional neural networks for few chest X-rays analysis
Mengmeng Zhan, Xiaoshuang Shi, Fangqi Liu, et al.
Information Processing & Management (2023) Vol. 60, Iss. 3, pp. 103258-103258
Closed Access | Times Cited: 8

Consistency–exclusivity guided unsupervised multi-view feature selection
Shixuan Zhou, Peng Song
Neurocomputing (2023) Vol. 569, pp. 127119-127119
Closed Access | Times Cited: 8

Multi-view clustering with orthogonal mapping and binary graph
Jianxi Zhao, Fangyuan Kang, Qingrong Zou, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 118911-118911
Closed Access | Times Cited: 13

Deep cross-modal subspace clustering with Contrastive Neighbour Embedding
Zihao Zhang, Qianqian Wang, Chengquan Pei, et al.
Neurocomputing (2024) Vol. 576, pp. 127318-127318
Closed Access | Times Cited: 2

Partial Multi-View Clustering via Self-Supervised Network
Wei Feng, Guoshuai Sheng, Qianqian Wang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 11, pp. 11988-11995
Open Access | Times Cited: 2

Nice to meet images with Big Clusters and Features: A cluster-weighted multi-modal co-clustering method
Chaoyang Zhang, Hang Xue, Kai Nie, et al.
Information Processing & Management (2024) Vol. 61, Iss. 5, pp. 103735-103735
Closed Access | Times Cited: 2

View-Driven Multi-View Clustering via Contrastive Double-Learning
Shengcheng Liu, Changming Zhu, Zishi Li, et al.
Entropy (2024) Vol. 26, Iss. 6, pp. 470-470
Open Access | Times Cited: 2

Tensorized Incomplete Multi-view Kernel Subspace Clustering
Guangyu Zhang, Dong Huang, Chang‐Dong Wang
Neural Networks (2024) Vol. 179, pp. 106529-106529
Closed Access | Times Cited: 2

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

Multi-view clustering with semantic fusion and contrastive learning
Hui Yu, Hui-Xiang Bian, Zi-Ling Chong, et al.
Neurocomputing (2024) Vol. 603, pp. 128264-128264
Closed Access | Times Cited: 2

Semi-supervised multi-view feature selection with adaptive similarity fusion and learning
Bingbing Jiang, Jun Liu, Zidong Wang, et al.
Pattern Recognition (2024) Vol. 159, pp. 111159-111159
Closed Access | Times Cited: 2

Incomplete Data Meets Uncoupled Case: A Challenging Task of Multiview Clustering
Jiaqi Lin, Xianglong Li, Man-Sheng Chen, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 6, pp. 8097-8110
Closed Access | Times Cited: 11

Multi-Level Content-Aware Boundary Detection for Temporal Action Proposal Generation
Taiyi Su, Hanli Wang, Lei Wang
IEEE Transactions on Image Processing (2023) Vol. 32, pp. 6090-6101
Closed Access | Times Cited: 6

Deep Multiview Adaptive Clustering With Semantic Invariance
Jing Gao, Meng Liu, Peng Li, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 9, pp. 12965-12978
Closed Access | Times Cited: 5

Adaptive-weighted deep multi-view clustering with uniform scale representation
Rui Chen, Yongqiang Tang, Wensheng Zhang, et al.
Neural Networks (2023) Vol. 171, pp. 114-126
Closed Access | Times Cited: 5

DC-FUDA: Improving deep clustering via fully unsupervised domain adaptation
Zhimeng Yang, Yazhou Ren, Zirui Wu, et al.
Neurocomputing (2023) Vol. 526, pp. 109-120
Open Access | Times Cited: 5

A structural consensus representation learning framework for multi-view clustering
Ruina Bai, Ruizhang Huang, Yongbin Qin, et al.
Knowledge-Based Systems (2023) Vol. 283, pp. 111132-111132
Closed Access | Times Cited: 5

Simple Self-supervised Multiplex Graph Representation Learning
Yujie Mo, Yuhuan Chen, Liang Peng, et al.
Proceedings of the 30th ACM International Conference on Multimedia (2022), pp. 3301-3309
Closed Access | Times Cited: 8

Trusted semi-supervised multi-view classification with contrastive learning
Xiaoli Wang, Yongli Wang, Yupeng Wang, et al.
IEEE Transactions on Multimedia (2024) Vol. 26, pp. 8268-8278
Closed Access | Times Cited: 1

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