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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:

Bi-level ensemble method for unsupervised feature selection
Peng Zhou, Xia Wang, Liang Du
Information Fusion (2023) Vol. 100, pp. 101910-101910
Closed Access | Times Cited: 13

Showing 13 citing articles:

CMEFS: chaotic mapping-based mayfly optimization with fuzzy entropy for feature selection
Lin Sun, Hanbo Liang, Weiping Ding, et al.
Applied Intelligence (2024) Vol. 54, Iss. 15-16, pp. 7397-7417
Closed Access | Times Cited: 4
Label distribution feature selection based on hierarchical structure and neighborhood granularity
Xiwen Lu, Wenbin Qian, Shiming Dai, et al.
Information Fusion (2024) Vol. 112, pp. 102588-102588
Closed Access | Times Cited: 4
Tensor-based unsupervised feature selection for error-robust handling of unbalanced incomplete multi-view data
Xuanhao Yang, Hangjun Che, Man-Fai Leung
Information Fusion (2024) Vol. 114, pp. 102693-102693
Closed Access | Times Cited: 4
Enhancing Computer-Aided Cervical Cancer Detection Using a Novel Fuzzy Rank-Based Fusion
Pranab Sahoo, Sriparna Saha, Samrat Mondal, et al.
IEEE Access (2023) Vol. 11, pp. 145281-145294
Open Access | Times Cited: 9
Augmentation of degranulation mechanism for high-dimensional data with a multi-round optimization strategy
Xiaoan Tang, Mingsong Duan, Kaijie Xu, et al.
Fuzzy Sets and Systems (2024) Vol. 486, pp. 108969-108969
Closed Access | Times Cited: 2
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
Label Distribution Feature Selection Based on Hierarchical Structure and Neighborhood Granularity
Xiwen Lu, Wenbin Qian, Shiming Dai, et al.
(2024)
Closed Access
Incremental Feature Selection and Interpretable Learning: An Application for Glioma Grading and Detection
Jinil Persis
(2024)
Open Access
Consensus and Discriminative Non-negative Matrix Factorization for Multi-view Unsupervised Feature Selection
Meng Duan, Peng Song, Shixuan Zhou, et al.
Digital Signal Processing (2024) Vol. 154, pp. 104668-104668
Closed Access
A novel feature selection framework for incomplete data
Cong Guo, Wei Yang, Zheng Li, et al.
Chemometrics and Intelligent Laboratory Systems (2024) Vol. 252, pp. 105193-105193
Open Access
Feature correlation fusion and feature selection under adaptive neighborhood group approximation space
Gengsen Li, Binbin Sang, Shaoguo Cui, et al.
International Journal of Machine Learning and Cybernetics (2024)
Closed Access
High-order correlation preserved multi-view unsupervised feature selection
Meng Duan, Peng Song, Shixuan Zhou, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109507-109507
Closed Access
Ensemble Feature Selection Using Neighbourhood Rough Set–Based Multicriterion Fusion
Zhen Ma
Journal of Applied Mathematics (2024) Vol. 2024, Iss. 1
Open Access
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