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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:

Adaptive collaborative fusion for multi-view semi-supervised classification
Bingbing Jiang, Chenglong Zhang, Yan Zhong, et al.
Information Fusion (2023) Vol. 96, pp. 37-50
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Semi-supervised multi-sensor information fusion tailored graph embedded low-rank tensor learning machine under extremely low labeled rate
Haifeng Xu, Xu Wang, Jinfeng Huang, et al.
Information Fusion (2023) Vol. 105, pp. 102222-102222
Closed Access | Times Cited: 32
Learning Cluster-Wise Anchors for Multi-View Clustering
Chao Zhang, Xiuyi Jia, Zechao Li, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 15, pp. 16696-16704
Open Access | Times Cited: 13
Self-paced semi-supervised feature selection with application to multi-modal Alzheimer’s disease classification
Chengqi Zhang, Wentao Fan, Bo Wang, et al.
Information Fusion (2024) Vol. 107, pp. 102345-102345
Closed Access | Times Cited: 10
Robust Tensor Subspace Learning for Incomplete Multi-View Clustering
Cheng Liang, Daoyuan Wang, Huaxiang Zhang, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 11, pp. 6934-6948
Closed Access | Times Cited: 10
DC-NAS: Divide-and-Conquer Neural Architecture Search for Multi-Modal Classification
Xinyan Liang, Pinhan Fu, Qian Guo, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 12, pp. 13754-13762
Open Access | Times Cited: 7
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: 5
Safe screening rules for multi-view support vector machines
Huiru Wang, Jiayi Zhu, Siyuan Zhang
Neural Networks (2023) Vol. 166, pp. 326-343
Closed Access | Times Cited: 11
Multi-level graph regularized robust multi-modal feature selection for Alzheimer’s disease classification
Chao Zhang, Wentao Fan, Huaxiong Li, et al.
Knowledge-Based Systems (2024) Vol. 293, pp. 111676-111676
Closed Access | Times Cited: 4
A multi-view ensemble machine learning approach for 3D modeling using geological and geophysical data
Deping Chu, Jinming Fu, Bo Wan, et al.
International Journal of Geographical Information Science (2024) Vol. 38, Iss. 12, pp. 2599-2626
Closed Access | Times Cited: 4
Deep random walk inspired multi-view graph convolutional networks for semi-supervised classification
Zexi Chen, Weibin Chen, Jie Yao, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Dual structure-aware consensus graph learning for incomplete multi-view clustering
Lilei Sun, Wai Keung Wong, Y. Fu, et al.
Pattern Recognition (2025), pp. 111582-111582
Closed Access
SCHG: Spectral Clustering-guided Hypergraph Neural Networks for Multi-view Semi-supervised Learning
Yuze Wu, Shiyang Lan, Zhiling Cai, et al.
Expert Systems with Applications (2025), pp. 127242-127242
Closed Access
Multi-view feature extraction based on dual contrastive heads
Hongjie Zhang, Ling Jing
Neurocomputing (2025), pp. 130092-130092
Closed Access
Incomplete multi-view classification via graph neural network on heterogeneous graph
Guoqing Chao, Jingnan Qi, Jingxuan Li, et al.
Information Fusion (2025), pp. 103137-103137
Closed Access
Cross-modal prototype based multimodal federated learning under severely missing modality
Huy Q. Le, Chu Myaet Thwal, Yu Qiao, et al.
Information Fusion (2025), pp. 103219-103219
Closed Access
Knowledge distillation-driven semi-supervised multi-view classification
Xiaoli Wang, Yongli Wang, Guanzhou Ke, et al.
Information Fusion (2023) Vol. 103, pp. 102098-102098
Closed Access | Times Cited: 8
Geometric localized graph convolutional network for multi-view semi-supervised classification
Aiping Huang, Jielong Lu, Zhihao Wu, et al.
Information Sciences (2024) Vol. 677, pp. 120769-120769
Closed Access | Times Cited: 2
Flexible Adaptive Graph Embedding for Semi-supervised Dimension Reduction
Hebing Nie, Qun Wu, Haifeng Zhao, et al.
Information Fusion (2023) Vol. 99, pp. 101872-101872
Closed Access | Times Cited: 5
Robust Pcomp classification using multi-view pairwise data with positive confidence priority
Long Tang, Ziyun Zhou, Yingjie Tian, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 112101-112101
Closed Access | Times Cited: 1
Self-adaptive label discovery and multi-view fusion for complementary label learning
Long Tang, Pengfei Yan, Yingjie Tian, et al.
Neural Networks (2024) Vol. 181, pp. 106763-106763
Closed Access | Times Cited: 1
Scalable Multi-view Unsupervised Feature Selection with Structure Learning and Fusion
Chenglong Zhang, Xinyan Liang, Peng Zhou, et al.
(2024), pp. 5479-5488
Closed Access | Times Cited: 1
Enhancing Face Recognition Accuracy Using Digital Twins
Sarika Kondekar, Pankaj Dashore
Advances in logistics, operations, and management science book series (2024), pp. 181-193
Closed Access
Multi-View Semi-Supervised Feature Selection with Graph Convolutional Networks
Zihao Xu, Chenglong Zhang, Zhaolong Ling, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 9, pp. 1-8
Closed Access
Building Trust in Decision with Conformalized Multi-view Deep Classification
Wei Liu, Yufei Chen, Xiaodong Yue
(2024), pp. 7278-7287
Closed Access
Multi-source data fusion for intelligent diagnosis based on generalized representation
Weimin Peng, Ai−Hong Chen, Jing Chen, et al.
Expert Systems with Applications (2024), pp. 126267-126267
Closed Access
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