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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:

Optimal cost-sensitive granularization based on rough sets for variable costs
Hong Zhao, William Zhu
Knowledge-Based Systems (2014) Vol. 65, pp. 72-82
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

A novel three-way decision model based on incomplete information system
Dun Liu, Decui Liang, Changchun Wang
Knowledge-Based Systems (2015) Vol. 91, pp. 32-45
Closed Access | Times Cited: 265
Three-way decision approaches to conflict analysis using decision-theoretic rough set theory
Guangming Lang, Duoqian Miao, Mingjie Cai
Information Sciences (2017) Vol. 406-407, pp. 185-207
Closed Access | Times Cited: 165
Attribute reduction based on max-decision neighborhood rough set model
Xiaodong Fan, Weida Zhao, Changzhong Wang, et al.
Knowledge-Based Systems (2018) Vol. 151, pp. 16-23
Closed Access | Times Cited: 73
Cost-sensitive feature selection based on adaptive neighborhood granularity with multi-level confidence
Hong Zhao, Ping Wang, Qinghua Hu
Information Sciences (2016) Vol. 366, pp. 134-149
Closed Access | Times Cited: 68
Cost-sensitive rough set: A multi-granulation approach
Hengrong Ju, Huaxiong Li, Xibei Yang, et al.
Knowledge-Based Systems (2017) Vol. 123, pp. 137-153
Closed Access | Times Cited: 68
Semi-greedy heuristics for feature selection with test cost constraints
Fan Min, Juan Xu
Granular Computing (2016) Vol. 1, Iss. 3, pp. 199-211
Open Access | Times Cited: 64
A cost sensitive decision tree algorithm based on weighted class distribution with batch deleting attribute mechanism
Hong Zhao, Xiangju Li
Information Sciences (2016) Vol. 378, pp. 303-316
Open Access | Times Cited: 50
Tri-partition cost-sensitive active learning through kNN
Fan Min, Fu-Lun Liu, Liu-Ying Wen, et al.
Soft Computing (2017) Vol. 23, Iss. 5, pp. 1557-1572
Closed Access | Times Cited: 50
Optimal granularity selection based on cost-sensitive sequential three-way decisions with rough fuzzy sets
Jie Yang, Guoyin Wang, Qinghua Zhang, et al.
Knowledge-Based Systems (2018) Vol. 163, pp. 131-144
Closed Access | Times Cited: 41
Optimal scale selection by integrating uncertainty and cost-sensitive learning in multi-scale decision tables
Xueqiu Zhang, Qinghua Zhang, Yunlong Cheng, et al.
International Journal of Machine Learning and Cybernetics (2020) Vol. 11, Iss. 5, pp. 1095-1114
Closed Access | Times Cited: 35
A cost sensitive decision tree algorithm with two adaptive mechanisms
Xiangju Li, Hong Zhao, William Zhu
Knowledge-Based Systems (2015) Vol. 88, pp. 24-33
Closed Access | Times Cited: 32
Representative-based classification through covering-based neighborhood rough sets
Ben-Wen Zhang, Fan Min, Davide Ciucci
Applied Intelligence (2015) Vol. 43, Iss. 4, pp. 840-854
Closed Access | Times Cited: 27
Multi-granularity feature selection on cost-sensitive data with measurement errors and variable costs
Shujiao Liao, Qingxin Zhu, Yuhua Qian, et al.
Knowledge-Based Systems (2018) Vol. 158, pp. 25-42
Closed Access | Times Cited: 25
Multi-criteria feature selection on cost-sensitive data with missing values
Wenhao Shu, Hong Shen
Pattern Recognition (2015) Vol. 51, pp. 268-280
Closed Access | Times Cited: 24
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
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
A comparison study of similarity measures for covering-based neighborhood classifiers
Fu-Lun Liu, Ben-Wen Zhang, Davide Ciucci, et al.
Information Sciences (2018) Vol. 448-449, pp. 1-17
Open Access | Times Cited: 17
Automated granule discovery in continuous data for feature selection
M.A.N.D. Sewwandi, Yuefeng Li, Jinglan Zhang
Information Sciences (2021) Vol. 578, pp. 323-343
Closed Access | Times Cited: 12
Three-way decision with ranking and reference tuple on information tables
Wenyan Xu, Yucong Yan, Xiaonan Li
Information Sciences (2022) Vol. 613, pp. 682-716
Closed Access | Times Cited: 7
Test-cost-sensitive attribute reduction on heterogeneous data for adaptive neighborhood model
Anjing Fan, Hong Zhao, William Zhu
Soft Computing (2015) Vol. 20, Iss. 12, pp. 4813-4824
Closed Access | Times Cited: 9
Dynamic granularity selection based on local weighted accuracy and local likelihood ratio
Leijun Li, Mei-Zheng Li, Ju‐Sheng Mi, et al.
Applied Soft Computing (2020) Vol. 89, pp. 106087-106087
Closed Access | Times Cited: 9
Attribute‐scale selection for hybrid data with test cost constraint: The approach and uncertainty measures
Shujiao Liao, Yidong Lin, Jinjin Li, et al.
International Journal of Intelligent Systems (2021) Vol. 37, Iss. 6, pp. 3297-3333
Open Access | Times Cited: 9
Neighborhood multigranulation rough sets for cost-sensitive feature selection on hybrid data
Wenhao Shu, Qiang Xia, Wenbin Qian
Neurocomputing (2023) Vol. 565, pp. 126990-126990
Closed Access | Times Cited: 3
A set-cover-based approach for the test-cost-sensitive attribute reduction problem
Anhui Tan, Wei-Zhi Wu, Yuzhi Tao
Soft Computing (2016) Vol. 21, Iss. 20, pp. 6159-6173
Closed Access | Times Cited: 7
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
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