Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Discernibility matrix based incremental feature selection on fused decision tables
Ye Liu, Lidi Zheng, Yeliang Xiu, et al.
International Journal of Approximate Reasoning (2019) Vol. 118, pp. 1-26
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Feature selection for classification with Spearman’s rank correlation coefficient-based self-information in divergence-based fuzzy rough sets
Jiefang Jiang, Xianyong Zhang, Zhong Yuan
Expert Systems with Applications (2024) Vol. 249, pp. 123633-123633
Closed Access | Times Cited: 25
Attribute reduction methods in fuzzy rough set theory: An overview, comparative experiments, and new directions
Zhong Yuan, Hongmei Chen, Peng Xie, et al.
Applied Soft Computing (2021) Vol. 107, pp. 107353-107353
Closed Access | Times Cited: 100
Incremental Feature Selection Using a Conditional Entropy Based on Fuzzy Dominance Neighborhood Rough Sets
Binbin Sang, Hongmei Chen, Lei Yang, et al.
IEEE Transactions on Fuzzy Systems (2021) Vol. 30, Iss. 6, pp. 1683-1697
Closed Access | Times Cited: 91
Label distribution feature selection for multi-label classification with rough set
Wenbin Qian, Jintao Huang, Yinglong Wang, et al.
International Journal of Approximate Reasoning (2020) Vol. 128, pp. 32-55
Closed Access | Times Cited: 53
Feature selection for dynamic interval-valued ordered data based on fuzzy dominance neighborhood rough set
Binbin Sang, Hongmei Chen, Lei Yang, et al.
Knowledge-Based Systems (2021) Vol. 227, pp. 107223-107223
Closed Access | Times Cited: 53
Incremental feature selection by sample selection and feature-based accelerator
Yanyan Yang, Degang Chen, Xiao Zhang, et al.
Applied Soft Computing (2022) Vol. 121, pp. 108800-108800
Closed Access | Times Cited: 28
Incremental feature selection with fuzzy rough sets for dynamic data sets
Lianjie Dong, Ruihong Wang, Degang Chen
Fuzzy Sets and Systems (2023) Vol. 467, pp. 108503-108503
Closed Access | Times Cited: 16
Parallel attribute reduction in high-dimensional data: An efficient MapReduce strategy with fuzzy discernibility matrix
Pandu Sowkuntla, P. S. V. S. Sai Prasad
Applied Soft Computing (2025), pp. 112870-112870
Closed Access
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
A Novel Multi-Criteria Decision-Making Method Based on Rough Sets and Fuzzy Measures
Jingqian Wang, Xiaohong Zhang
Axioms (2022) Vol. 11, Iss. 6, pp. 275-275
Open Access | Times Cited: 26
Granular-ball-matrix-based incremental semi-supervised feature selection approach to high-dimensional variation using neighbourhood discernibility degree for ordered partially labelled dataset
Weihua Xu, Jinlong Li
Applied Intelligence (2025) Vol. 55, Iss. 4
Closed Access
Rough set Theory-Based group incremental approach to feature selection
Jie Zhao, Daiyang Wu, Yongxin Zhou, et al.
Information Sciences (2024) Vol. 675, pp. 120733-120733
Closed Access | Times Cited: 3
Matrix-based feature selection approach using conditional entropy for ordered data set with time-evolving features
Weihua Xu, Yifei Yang
Knowledge-Based Systems (2023) Vol. 279, pp. 110947-110947
Closed Access | Times Cited: 9
Heuristic-based feature selection for rough set approach
Urszula Stańczyk, Beata Zielosko
International Journal of Approximate Reasoning (2020) Vol. 125, pp. 187-202
Open Access | Times Cited: 21
Neighbourhood discernibility degree-based semisupervised feature selection for partially labelled mixed-type data with granular ball
Wenhao Shu, Jianhui Yu, Ting Chen, et al.
Applied Intelligence (2023) Vol. 53, Iss. 19, pp. 22467-22487
Closed Access | Times Cited: 7
Semi-supervised feature selection based on discernibility matrix and mutual information
W. B. Qian, Wan Li-juan, Wenhao Shu
Applied Intelligence (2024) Vol. 54, Iss. 13-14, pp. 7278-7295
Closed Access | Times Cited: 2
Incremental attribute reduction approaches for ordered data with time-evolving objects
Binbin Sang, Hongmei Chen, Lei Yang, et al.
Knowledge-Based Systems (2020) Vol. 212, pp. 106583-106583
Closed Access | Times Cited: 19
Incremental neighborhood entropy-based feature selection for mixed-type data under the variation of feature set
Wenhao Shu, Wenbin Qian, Yonghong Xie
Applied Intelligence (2021) Vol. 52, Iss. 5, pp. 4792-4806
Closed Access | Times Cited: 12
Incremental fuzzy rough sets based feature subset selection using fuzzy min-max neural network preprocessing
Anil Kumar, P. S. V. S. Sai Prasad
International Journal of Approximate Reasoning (2021) Vol. 139, pp. 69-87
Closed Access | Times Cited: 12
Incremental updating three-way regions with variations of objects and attributes in incomplete neighborhood systems
Hao Ge, Chuanjian Yang, Yi Xu
Information Sciences (2021) Vol. 584, pp. 479-502
Closed Access | Times Cited: 12
Incremental feature selection approach to multi-dimensional variation based on matrix dominance conditional entropy for ordered data set
Weihua Xu, Yifei Yang, Ding Yi, et al.
Applied Intelligence (2024) Vol. 54, Iss. 6, pp. 4890-4910
Closed Access | Times Cited: 1
Parallel attribute reduction algorithm for unlabeled data based on fuzzy discernibility matrix and soft deletion behavior
Haotong Wen, Yi Xu, Meishe Liang
Information Sciences (2024), pp. 121472-121472
Closed Access | Times Cited: 1
An updated method of granular reduct based on cognitive operators in formal contexts
Zhong-Ling Li, Ju‐Sheng Mi, Tao Zhang
International Journal of Approximate Reasoning (2022) Vol. 154, pp. 72-83
Closed Access | Times Cited: 6
Fast attribute reduction via inconsistent equivalence classes for large-scale data
Guoqiang Wang, Pengfei Zhang, Dexian Wang, et al.
International Journal of Approximate Reasoning (2023) Vol. 163, pp. 109039-109039
Closed Access | Times Cited: 3
Enhancing the scalability of fuzzy rough set approximate reduct computation through fuzzy min–max neural network and crisp discernibility relation formulation
Anil Kumar, P. S. V. S. Sai Prasad
Engineering Applications of Artificial Intelligence (2022) Vol. 110, pp. 104697-104697
Closed Access | Times Cited: 5
Page 1 - Next Page

Scroll to top