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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:

A fast heuristic attribute reduction approach to ordered decision systems
Wen Sheng Du, Bao Qing Hu
European Journal of Operational Research (2017) Vol. 264, Iss. 2, pp. 440-452
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Interval Dominance-Based Feature Selection for Interval-Valued Ordered Data
Wentao Li, Haoxiang Zhou, Weihua Xu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 10, pp. 6898-6912
Closed Access | Times Cited: 85
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
Active Antinoise Fuzzy Dominance Rough Feature Selection Using Adaptive K-Nearest Neighbors
Binbin Sang, Weihua Xu, Hongmei Chen, et al.
IEEE Transactions on Fuzzy Systems (2023) Vol. 31, Iss. 11, pp. 3944-3958
Closed Access | Times Cited: 22
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
Feature selection of dominance-based neighborhood rough set approach for processing hybrid ordered data
Jiayue Chen, Ping Zhu
International Journal of Approximate Reasoning (2024) Vol. 167, pp. 109134-109134
Closed Access | Times Cited: 5
Incremental approaches for feature selection from dynamic data with the variation of multiple objects
Wenhao Shu, Wenbin Qian, Yonghong Xie
Knowledge-Based Systems (2018) Vol. 163, pp. 320-331
Closed Access | Times Cited: 46
Incremental approaches for heterogeneous feature selection in dynamic ordered data
Binbin Sang, Hongmei Chen, Tianrui Li, et al.
Information Sciences (2020) Vol. 541, pp. 475-501
Closed Access | Times Cited: 40
Matrix representation of the conditional entropy for incremental feature selection on multi-source data
Yanyong Huang, Kejun Guo, Xiuwen Yi, et al.
Information Sciences (2022) Vol. 591, pp. 263-286
Closed Access | Times Cited: 20
Feature Selection Considering Multiple Correlations Based on Soft Fuzzy Dominance Rough Sets for Monotonic Classification
Binbin Sang, Hongmei Chen, Lei Yang, et al.
IEEE Transactions on Fuzzy Systems (2022) Vol. 30, Iss. 12, pp. 5181-5195
Closed Access | Times Cited: 19
Fuzzy rough feature selection using a robust non-linear vague quantifier for ordinal classification
Binbin Sang, Lei Yang, Hongmei Chen, et al.
Expert Systems with Applications (2023) Vol. 230, pp. 120480-120480
Closed Access | Times Cited: 11
Quantitative Dominance-Based Neighborhood Rough Sets via Fuzzy Preference Relations
Shuyun Yang, Hongying Zhang, Bernard De Baets, et al.
IEEE Transactions on Fuzzy Systems (2019) Vol. 29, Iss. 3, pp. 515-529
Closed Access | Times Cited: 31
Double-local rough sets for efficient data mining
Guoqiang Wang, Tianrui Li, Pengfei Zhang, et al.
Information Sciences (2021) Vol. 571, pp. 475-498
Closed Access | Times Cited: 25
A novel incremental attribute reduction by using quantitative dominance-based neighborhood self-information
Lei Yang, Keyun Qin, Binbin Sang, et al.
Knowledge-Based Systems (2022) Vol. 261, pp. 110200-110200
Closed Access | Times Cited: 15
Key quality characteristics selection for imbalanced production data using a two-phase bi-objective feature selection method
An‐Da Li, Zhen He, Qing Wang, et al.
European Journal of Operational Research (2018) Vol. 274, Iss. 3, pp. 978-989
Closed Access | Times Cited: 24
A survey on granular computing and its uncertainty measure from the perspective of rough set theory
Yunlong Cheng, Fan Zhao, Qinghua Zhang, et al.
Granular Computing (2019) Vol. 6, Iss. 1, pp. 3-17
Closed Access | Times Cited: 22
Calculating the relative importance of condition attributes based on the characteristics of decision rules and attribute reducts: Application to crowdfunding
Salem Chakhar, Alessio Ishizaka, Andy Thorpe, et al.
European Journal of Operational Research (2020) Vol. 286, Iss. 2, pp. 689-712
Open Access | Times Cited: 21
A fuzzy α-similarity relation-based attribute reduction approach in incomplete interval-valued information systems
Xiaofeng Liu, Jianhua Dai, Jiaolong Chen, et al.
Applied Soft Computing (2021) Vol. 109, pp. 107593-107593
Closed Access | Times Cited: 19
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
Belief function of Pythagorean fuzzy rough approximation space and its applications
Shaopu Zhang, Pin Sun, Ju‐Sheng Mi, et al.
International Journal of Approximate Reasoning (2020) Vol. 119, pp. 58-80
Open Access | Times Cited: 18
Self-adaptive weighted interaction feature selection based on robust fuzzy dominance rough sets for monotonic classification
Binbin Sang, Hongmei Chen, Jihong Wan, et al.
Knowledge-Based Systems (2022) Vol. 253, pp. 109523-109523
Closed Access | Times Cited: 11
Optimal scale selection based on multi-scale single-valued neutrosophic decision-theoretic rough set with cost-sensitivity
Wenjue Wang, Bing Huang, Tianxing Wang
International Journal of Approximate Reasoning (2023) Vol. 155, pp. 132-144
Closed Access | Times Cited: 6
On reduction of attributes in inconsistent decision tables based on information entropies and stripped quotient sets
Nguyễn Ngọc Thủy, Sartra Wongthanavasu
Expert Systems with Applications (2019) Vol. 137, pp. 308-323
Closed Access | Times Cited: 19
A new approach for reduction of attributes based on stripped quotient sets
Nguyễn Ngọc Thủy, Sartra Wongthanavasu
Pattern Recognition (2019) Vol. 97, pp. 106999-106999
Closed Access | Times Cited: 18
Unsupervised attribute reduction based on $$\alpha $$-approximate equal relation in interval-valued information systems
Xiaofeng Liu, Jianhua Dai, Jiaolong Chen, et al.
International Journal of Machine Learning and Cybernetics (2020) Vol. 11, Iss. 9, pp. 2021-2038
Closed Access | Times Cited: 16
A novel attribute reduction method based on intuitionistic fuzzy three-way cognitive clustering
Xianwei Xin, Chunlei Shi, Jingbo Sun, et al.
Applied Intelligence (2022) Vol. 53, Iss. 2, pp. 1744-1758
Closed Access | Times Cited: 10
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