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:

Cost-sensitive feature selection via the ℓ2,1-norm
Hong Zhao, Shenglong Yu
International Journal of Approximate Reasoning (2018) Vol. 104, pp. 25-37
Open Access | Times Cited: 24

Showing 24 citing articles:

Multiobjective Particle Swarm Optimization for Feature Selection With Fuzzy Cost
Ying Hu, Zhang Yon, Dunwei Gong
IEEE Transactions on Cybernetics (2020) Vol. 51, Iss. 2, pp. 874-888
Closed Access | Times Cited: 215

A novel quantum grasshopper optimization algorithm for feature selection
Dong Wang, Hongmei Chen, Tianrui Li, et al.
International Journal of Approximate Reasoning (2020) Vol. 127, pp. 33-53
Closed Access | Times Cited: 46

Fuzzy filter cost-sensitive feature selection with differential evolution
Emrah Hançer, Bing Xue, Mengjie Zhang
Knowledge-Based Systems (2022) Vol. 241, pp. 108259-108259
Closed Access | Times Cited: 24

Hierarchical long-tailed classification based on multi-granularity knowledge transfer driven by multi-scale feature fusion
Wei Zhao, Hong Zhao
Pattern Recognition (2023) Vol. 145, pp. 109842-109842
Closed Access | Times Cited: 14

Linear Cost-sensitive Max-margin Embedded Feature Selection for SVM
Khalid Y. Aram, Sarah S. Lam, Mohammad T. Khasawneh
Expert Systems with Applications (2022) Vol. 197, pp. 116683-116683
Closed Access | Times Cited: 19

A novel test-cost-sensitive attribute reduction approach using the binary bat algorithm
Xiaojun Xie, Xiaolin Qin, Qian Zhou, et al.
Knowledge-Based Systems (2019) Vol. 186, pp. 104938-104938
Closed Access | Times Cited: 27

A frequency item mining based embedded feature selection algorithm and its application in energy consumption prediction of electric bus
Li Zhao, Yuqi Li, Shuai Li, et al.
Energy (2023) Vol. 271, pp. 126999-126999
Closed Access | Times Cited: 6

HMRM: Hierarchy-aware Misclassification Risk Minimization for few-shot learning
Jie Jin, Yangqing Zhong, Hong Zhao
Expert Systems with Applications (2024) Vol. 251, pp. 123885-123885
Closed Access | Times Cited: 1

A Novel Ensemble Credit Scoring Model Based on Extreme Learning Machine and Generalized Fuzzy Soft Sets
Dayu Xu, Xuyao Zhang, Junguo Hu, et al.
Mathematical Problems in Engineering (2020) Vol. 2020, pp. 1-12
Open Access | Times Cited: 12

Feature–granularity selection with variable costs for hybrid data
Shujiao Liao, Qingxin Zhu, Yuhua Qian
Soft Computing (2019) Vol. 23, Iss. 24, pp. 13105-13126
Closed Access | Times Cited: 6

Generalized and Robust Least Squares Regression
Jingyu Wang, Fangyuan Xie, Feiping Nie, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 5, pp. 7006-7020
Closed Access | Times Cited: 4

DMTFS-FO: Dynamic multi-task feature selection based on flexible loss and orthogonal constraint
Yang Zhang, Jie Shi, Hong Zhao
Expert Systems with Applications (2024) Vol. 255, pp. 124588-124588
Closed Access

Matching with contract-based resource trading in UAV-assisted MEC system
Yuanfa Lu, Ziqiong Lin, Wenjie Zhang, et al.
The Journal of Supercomputing (2024) Vol. 80, Iss. 17, pp. 25533-25562
Closed Access

MFL Data Feature Extraction based on KPCA-BOMW Model
Lin Jiang, Jinhai Liu, Huaguang Zhang, et al.
(2019), pp. 1019-1023
Closed Access | Times Cited: 4

A multi-objective Artificial Bee Colony algorithm for cost-sensitive subset selection
Emrah Hançer
Neural Computing and Applications (2022) Vol. 34, Iss. 20, pp. 17523-17537
Closed Access | Times Cited: 3

Supervised Feature Selection via Quadratic Surface Regression with $$l_{2,1}$$-Norm Regularization
Changlin Wang, Zhixia Yang, Junyou Ye, et al.
Annals of Data Science (2024) Vol. 11, Iss. 2, pp. 647-675
Closed Access

Accelerating Analytics Using Improved Binary Particle Swarm Optimization for Discrete Feature Selection
Rajalakshmi Shenbaga Moorthy, P. Pabitha
The Computer Journal (2021)
Closed Access | Times Cited: 4

Microbial data augmentation combining feature extraction and transformer network
Liu-Ying Wen, Zhu Chen, Xiao-Nan Xie, et al.
International Journal of Machine Learning and Cybernetics (2023) Vol. 15, Iss. 6, pp. 2539-2550
Closed Access | Times Cited: 1

Exploring and exploiting hierarchical structures for large-scale classification
Junyan Zheng, Yu Wang, Shenglei Pei, et al.
International Journal of Machine Learning and Cybernetics (2023) Vol. 15, Iss. 6, pp. 2427-2437
Closed Access | Times Cited: 1

A Robust Cost-Sensitive Feature Selection Via Self-Paced Learning Regularization
Yangding Li, Chaoqun Ma, Yiling Tao, et al.
Neural Processing Letters (2021) Vol. 54, Iss. 4, pp. 2571-2588
Closed Access | Times Cited: 1

Self-similarity feature based few-shot learning via hierarchical relation network
Yangqing Zhong, Yuling Su, Hong Zhao
International Journal of Machine Learning and Cybernetics (2023) Vol. 14, Iss. 12, pp. 4237-4249
Closed Access

An ordered search with a large margin classifier for feature selection
Saulo Moraes Villela, Saul C. Leite, Adilson Elias Xavier, et al.
Applied Soft Computing (2020) Vol. 100, pp. 106930-106930
Closed Access

Semi-supervised Feature Selection Based on Cost-Sensitive and Structural Information
Yiling Tao, Guangquan Lu, Chaoqun Ma, et al.
Lecture notes in computer science (2021), pp. 23-36
Closed Access

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