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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 based on label correlations and feature redundancy
Yuling Fan, Baihua Chen, Weiqin Huang, et al.
Knowledge-Based Systems (2022) Vol. 241, pp. 108256-108256
Closed Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

Noise-resistant multilabel fuzzy neighborhood rough sets for feature subset selection
Tengyu Yin, Hongmei Chen, Zhong Yuan, et al.
Information Sciences (2022) Vol. 621, pp. 200-226
Closed Access | Times Cited: 55
A survey on multi-label feature selection from perspectives of label fusion
Wenbin Qian, Jintao Huang, Fankang Xu, et al.
Information Fusion (2023) Vol. 100, pp. 101948-101948
Closed Access | Times Cited: 38
Multi-label feature selection via similarity constraints with non-negative matrix factorization
Zhuoxin He, Yaojin Lin, Zilong Lin, et al.
Knowledge-Based Systems (2024) Vol. 297, pp. 111948-111948
Closed Access | Times Cited: 11
Multi-label Feature selection with adaptive graph learning and label information enhancement
Zhi Qin, Hongmei Chen, Yong Mi, et al.
Knowledge-Based Systems (2024) Vol. 285, pp. 111363-111363
Closed Access | Times Cited: 10
Correlation concept-cognitive learning model for multi-label classification
Jiaming Wu, Eric C.C. Tsang, Weihua Xu, et al.
Knowledge-Based Systems (2024) Vol. 290, pp. 111566-111566
Closed Access | Times Cited: 10
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
Dominance relation-based feature selection for interval-valued multi-label ordered information system
Yujie Qin, Guoping Lin, Yidong Lin, et al.
Expert Systems with Applications (2025), pp. 126898-126898
Closed Access | Times Cited: 1
Multi-Label Feature Selection Via Adaptive Label Correlation Estimation
Zan Zhang, Zhe Zhang, Jialu Yao, et al.
ACM Transactions on Knowledge Discovery from Data (2023) Vol. 17, Iss. 9, pp. 1-28
Closed Access | Times Cited: 22
Multi-label feature selection based on stable label relevance and label-specific features
Yong Yang, Hongmei Chen, Yong Mi, et al.
Information Sciences (2023) Vol. 648, pp. 119525-119525
Closed Access | Times Cited: 22
Discriminative multi-label feature selection with adaptive graph diffusion
Jiajun Ma, Fei Xu, Xiaofeng Rong
Pattern Recognition (2023) Vol. 148, pp. 110154-110154
Closed Access | Times Cited: 20
AMFSA: Adaptive fuzzy neighborhood-based multilabel feature selection with ant colony optimization
Lin Sun, Yu‐Sheng Chen, Weiping Ding, et al.
Applied Soft Computing (2023) Vol. 138, pp. 110211-110211
Closed Access | Times Cited: 17
Gradient-based multi-label feature selection considering three-way variable interaction
Yizhang Zou, Xuegang Hu, Peipei Li
Pattern Recognition (2023) Vol. 145, pp. 109900-109900
Closed Access | Times Cited: 17
Label relaxation and shared information for multi-label feature selection
Yuling Fan, Xu Chen, Shimu Luo, et al.
Information Sciences (2024) Vol. 671, pp. 120662-120662
Closed Access | Times Cited: 8
MSSL: a memetic-based sparse subspace learning algorithm for multi-label classification
Hamid Bayati, Mohammad Bagher Dowlatshahi, Amin Hashemi
International Journal of Machine Learning and Cybernetics (2022) Vol. 13, Iss. 11, pp. 3607-3624
Closed Access | Times Cited: 24
A COPRAS-based Approach to Multi-Label Feature Selection for Text Classification
S.S. Mohanrasu, K. Janani, R. Rakkiyappan
Mathematics and Computers in Simulation (2023) Vol. 222, pp. 3-23
Closed Access | Times Cited: 16
Feature selection via maximizing inter-class independence and minimizing intra-class redundancy for hierarchical classification
Jie Shi, Zhengyu Li, Hong Zhao
Information Sciences (2023) Vol. 626, pp. 1-18
Closed Access | Times Cited: 15
FG-HFS: A feature filter and group evolution hybrid feature selection algorithm for high-dimensional gene expression data
Zhaozhao Xu, Fangyuan Yang, Chaosheng Tang, et al.
Expert Systems with Applications (2023) Vol. 245, pp. 123069-123069
Open Access | Times Cited: 15
Adaptive micro- and macro-knowledge incorporation for hierarchical text classification
Zijian Feng, Kezhi Mao, Hanzhang Zhou
Expert Systems with Applications (2024) Vol. 248, pp. 123374-123374
Closed Access | Times Cited: 5
Noise-resistant Fuzzy Multineighbourhood Rough Set-Based Feature Selection with Label Enhancement and Its Application for Multilabel Classification
Lin Sun, Wenjuan Du, Jiucheng Xu, et al.
Applied Soft Computing (2024), pp. 112284-112284
Closed Access | Times Cited: 5
Optimal performance of Binary Relevance CNN in targeted multi-label text classification
Zhen Yang, Frank Emmert‐Streib
Knowledge-Based Systems (2023) Vol. 284, pp. 111286-111286
Open Access | Times Cited: 13
Multi-Label Feature Selection via Positive or Negative Correlation
Yaojin Lin, Zhuoxin He, Lei Guo, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2023) Vol. 8, Iss. 1, pp. 401-415
Closed Access | Times Cited: 11
Dynamic multi-label feature selection algorithm based on label importance and label correlation
Wanlin Chen, Xiao Sun
International Journal of Machine Learning and Cybernetics (2024) Vol. 15, Iss. 8, pp. 3379-3396
Open Access | Times Cited: 4
Graph diffusion with dual-distance metrics for missing multi-label feature selection
Zhi Qin, Hongmei Chen, Tengyu Yin, et al.
Expert Systems with Applications (2025) Vol. 271, pp. 126662-126662
Closed Access
Dynamic Online Label Distribution Feature Selection Based on Label Importance and Label Correlation
Wanlin Chen, Xiao Sun, Fuji Ren
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1466-1466
Open Access
Multi-label feature selection via nonlinear mapping and manifold regularization
Yan Wang, Changzhong Wang, Tingquan Deng, et al.
Information Sciences (2025), pp. 121965-121965
Closed Access
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