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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:

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

Showing 14 citing articles:

Multi-label feature selection with missing labels by weak-label fusion fuzzy discernibility pair
Jianhua Dai, Min Li, Chucai Zhang
Information Fusion (2025) Vol. 117, pp. 102921-102921
Closed Access | Times Cited: 1
A new semi-supervised fuzzy clustering method based on latent representation learning and information fusion
Hengdong Zhu, S. B. Jennifer Kan, Yong Li, et al.
Applied Soft Computing (2025), pp. 112717-112717
Closed Access | Times Cited: 1
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
Cost-sensitive feature selection for multi-label classification: multi-criteria decision-making approach
S.S. Mohanrasu, Le Thi Phan, R. Rakkiyappan, et al.
Applied Computing and Informatics (2025)
Open Access
Semi-supervised multi-label feature selection combining nonlinear manifold structure and minimizing group sparse redundant correlation
Runxin Li, Xiong Yang, Xiaowu Li, et al.
Expert Systems with Applications (2025) Vol. 273, pp. 126844-126844
Closed Access
Partial Multi-Label Learning with Feature Selection by Dual Guidance
Bingqing Wang, Yu Chen, Zheng Xiao, et al.
(2025)
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
Robust semi-supervised multi-label feature selection based on shared subspace and manifold learning
Razieh Sheikhpour, Mehrnoush Mohammadi, Kamal Berahmand, et al.
Information Sciences (2024) Vol. 699, pp. 121800-121800
Closed Access | Times Cited: 2
A novel ensemble causal feature selection approach with mutual information and group fusion strategy for multi-label data
Yifeng Zheng, Xianlong Zeng, Wenjie Zhang, et al.
International Journal of Intelligent Computing and Cybernetics (2024) Vol. 17, Iss. 4, pp. 671-704
Closed Access
Unsupervised discriminative projection based on contrastive learning
Jingwen Yang, Hongjie Zhang, Ruojin Zhou, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112296-112296
Closed Access
Label-Specific Multi-label Classification with Entropy Guided Clustering
Jiaxuan Li, Tong Zhu, Xiaoyan Zhu, et al.
Lecture notes in computer science (2024), pp. 414-429
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
Multi-label speech feature selection for Parkinson’s Disease subtype recognition using graph model
Wei Ji, Yuchen Fu, Huifen Zheng, et al.
Computers in Biology and Medicine (2024) Vol. 185, pp. 109566-109566
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
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