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:
Sparse multi-label feature selection via dynamic graph manifold regularization
Yao Zhang, Yingcang Ma
International Journal of Machine Learning and Cybernetics (2022) Vol. 14, Iss. 3, pp. 1021-1036
Closed Access | Times Cited: 17
Yao Zhang, Yingcang Ma
International Journal of Machine Learning and Cybernetics (2022) Vol. 14, Iss. 3, pp. 1021-1036
Closed Access | Times Cited: 17
Showing 17 citing articles:
Multi-label feature selection via latent representation learning and dynamic graph constraints
Yao Zhang, Wei Huo, Jun Tang
Pattern Recognition (2024) Vol. 151, pp. 110411-110411
Closed Access | Times Cited: 14
Yao Zhang, Wei Huo, Jun Tang
Pattern Recognition (2024) Vol. 151, pp. 110411-110411
Closed Access | Times Cited: 14
LSFSR: Local label correlation-based sparse multilabel feature selection with feature redundancy
Lin Sun, Yuxuan Ma, Weiping Ding, et al.
Information Sciences (2024) Vol. 667, pp. 120501-120501
Closed Access | Times Cited: 9
Lin Sun, Yuxuan Ma, Weiping Ding, et al.
Information Sciences (2024) Vol. 667, pp. 120501-120501
Closed Access | Times Cited: 9
Sparse multi-label feature selection via pseudo-label learning and dynamic graph constraints
Yao Zhang, Jun Tang, Ziqiang Cao, et al.
Information Fusion (2025), pp. 102975-102975
Closed Access | Times Cited: 1
Yao Zhang, Jun Tang, Ziqiang Cao, et al.
Information Fusion (2025), pp. 102975-102975
Closed Access | Times Cited: 1
Sparse feature selection via local feature and high-order label correlation
Lin Sun, Yuxuan Ma, Weiping Ding, et al.
Applied Intelligence (2023) Vol. 54, Iss. 1, pp. 565-591
Closed Access | Times Cited: 11
Lin Sun, Yuxuan Ma, Weiping Ding, et al.
Applied Intelligence (2023) Vol. 54, Iss. 1, pp. 565-591
Closed Access | Times Cited: 11
Compound fault diagnosis method of rotating machinery using multi-view multi-label feature selection based on label compression and local label correlation
Wei Zhang, Jialong He, Chi Ma, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103310-103310
Closed Access
Wei Zhang, Jialong He, Chi Ma, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103310-103310
Closed Access
Partial multi-label feature selection via low-rank and sparse factorization with manifold learning
Zhenzhen Sun, Zexiang Chen, Jinghua Liu, et al.
Knowledge-Based Systems (2024) Vol. 296, pp. 111899-111899
Closed Access | Times Cited: 3
Zhenzhen Sun, Zexiang Chen, Jinghua Liu, et al.
Knowledge-Based Systems (2024) Vol. 296, pp. 111899-111899
Closed Access | Times Cited: 3
Sparse low-redundancy multi-label feature selection with constrained laplacian rank
Yanhong Wu, Jianxia Bai
International Journal of Machine Learning and Cybernetics (2024)
Closed Access | Times Cited: 2
Yanhong Wu, Jianxia Bai
International Journal of Machine Learning and Cybernetics (2024)
Closed Access | Times Cited: 2
Sparse semi-supervised multi-label feature selection based on latent representation
Xue Zhao, Qiaoyan Li, Zhiwei Xing, et al.
Complex & Intelligent Systems (2024) Vol. 10, Iss. 4, pp. 5139-5151
Open Access | Times Cited: 1
Xue Zhao, Qiaoyan Li, Zhiwei Xing, et al.
Complex & Intelligent Systems (2024) Vol. 10, Iss. 4, pp. 5139-5151
Open Access | Times Cited: 1
Joint subspace reconstruction and label correlation for multi-label feature selection
Zelong Wang, Hongmei Chen, Yong Mi, et al.
Applied Intelligence (2023)
Closed Access | Times Cited: 3
Zelong Wang, Hongmei Chen, Yong Mi, et al.
Applied Intelligence (2023)
Closed Access | Times Cited: 3
Sparse low-redundancy multilabel feature selection based on dynamic local structure preservation and triple graphs exploration
Yong Yang, Hongmei Chen, Yong Mi, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122730-122730
Closed Access | Times Cited: 2
Yong Yang, Hongmei Chen, Yong Mi, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122730-122730
Closed Access | Times Cited: 2
Semi-supervised multi-label feature selection based on dual dynamic graph
Xue Zhao, Qiaoyan Li, Zhiwei Xing, et al.
Journal of Intelligent & Fuzzy Systems (2024) Vol. 46, Iss. 4, pp. 9591-9605
Closed Access
Xue Zhao, Qiaoyan Li, Zhiwei Xing, et al.
Journal of Intelligent & Fuzzy Systems (2024) Vol. 46, Iss. 4, pp. 9591-9605
Closed Access
Multi-label learning with label-specific feature selection via local positive and negative correlation
Xia Shuxin
(2024)
Open Access
Xia Shuxin
(2024)
Open Access
Multi-Label Learning with Label-Specific Feature Selection via Local Positive and Negative Correlation
Shuxin Xia
(2024), pp. 837-843
Closed Access
Shuxin Xia
(2024), pp. 837-843
Closed Access
Graph-based multi-label feature selection with dynamic graph constraints and latent representation learning
Jianxia Bai, Yanhong Wu
Applied Intelligence (2024) Vol. 55, Iss. 3
Closed Access
Jianxia Bai, Yanhong Wu
Applied Intelligence (2024) Vol. 55, Iss. 3
Closed Access
Sparse low-redundancy multi-label feature selection with adaptive dynamic dual graph constraints
Yanhong Wu, Jianxia Bai
Applied Intelligence (2024) Vol. 55, Iss. 3
Closed Access
Yanhong Wu, Jianxia Bai
Applied Intelligence (2024) Vol. 55, Iss. 3
Closed Access
Sparse Low-Redundancy Multi-Label Feature Selection with Adaptive Dynamic Dual Graph Constraints
Yanhong Wu, Jianxia Bai
(2023)
Closed Access
Yanhong Wu, Jianxia Bai
(2023)
Closed Access
Multi-Label Feature Selection Based on Latent Representation Learning and Dynamic Graph Constraints
Yao Zhang, Wei Huo, Jun Tang
(2023)
Closed Access
Yao Zhang, Wei Huo, Jun Tang
(2023)
Closed Access
