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:
On Robust Fuzzy Rough Set Models
Qinghua Hu, Lei Zhang, Shuang An, et al.
IEEE Transactions on Fuzzy Systems (2011) Vol. 20, Iss. 4, pp. 636-651
Closed Access | Times Cited: 148
Qinghua Hu, Lei Zhang, Shuang An, et al.
IEEE Transactions on Fuzzy Systems (2011) Vol. 20, Iss. 4, pp. 636-651
Closed Access | Times Cited: 148
Showing 1-25 of 148 citing articles:
Three-way cognitive concept learning via multi-granularity
Jinhai Li, Chenchen Huang, Jianjun Qi, et al.
Information Sciences (2016) Vol. 378, pp. 244-263
Closed Access | Times Cited: 359
Jinhai Li, Chenchen Huang, Jianjun Qi, et al.
Information Sciences (2016) Vol. 378, pp. 244-263
Closed Access | Times Cited: 359
Maximal-Discernibility-Pair-Based Approach to Attribute Reduction in Fuzzy Rough Sets
Jianhua Dai, Hu Hu, Wei-Zhi Wu, et al.
IEEE Transactions on Fuzzy Systems (2017) Vol. 26, Iss. 4, pp. 2174-2187
Closed Access | Times Cited: 195
Jianhua Dai, Hu Hu, Wei-Zhi Wu, et al.
IEEE Transactions on Fuzzy Systems (2017) Vol. 26, Iss. 4, pp. 2174-2187
Closed Access | Times Cited: 195
Implementing algorithms of rough set theory and fuzzy rough set theory in the R package “RoughSets”
Lala Septem Riza, Andrzej Janusz, Christoph Bergmeir, et al.
Information Sciences (2014) Vol. 287, pp. 68-89
Closed Access | Times Cited: 151
Lala Septem Riza, Andrzej Janusz, Christoph Bergmeir, et al.
Information Sciences (2014) Vol. 287, pp. 68-89
Closed Access | Times Cited: 151
Fuzzy-rough feature selection accelerator
Yuhua Qian, Qi Wang, Honghong Cheng, et al.
Fuzzy Sets and Systems (2014) Vol. 258, pp. 61-78
Closed Access | Times Cited: 143
Yuhua Qian, Qi Wang, Honghong Cheng, et al.
Fuzzy Sets and Systems (2014) Vol. 258, pp. 61-78
Closed Access | Times Cited: 143
Large-Scale Multimodality Attribute Reduction With Multi-Kernel Fuzzy Rough Sets
Qinghua Hu, Lingjun Zhang, Yucan Zhou, et al.
IEEE Transactions on Fuzzy Systems (2017) Vol. 26, Iss. 1, pp. 226-238
Closed Access | Times Cited: 136
Qinghua Hu, Lingjun Zhang, Yucan Zhou, et al.
IEEE Transactions on Fuzzy Systems (2017) Vol. 26, Iss. 1, pp. 226-238
Closed Access | Times Cited: 136
Intuitionistic Fuzzy Rough Set-Based Granular Structures and Attribute Subset Selection
Anhui Tan, Wei-Zhi Wu, Yuhua Qian, et al.
IEEE Transactions on Fuzzy Systems (2018) Vol. 27, Iss. 3, pp. 527-539
Closed Access | Times Cited: 136
Anhui Tan, Wei-Zhi Wu, Yuhua Qian, et al.
IEEE Transactions on Fuzzy Systems (2018) Vol. 27, Iss. 3, pp. 527-539
Closed Access | Times Cited: 136
Attribute reduction for multi-label learning with fuzzy rough set
Yaojin Lin, Yuwen Li, Chenxi Wang, et al.
Knowledge-Based Systems (2018) Vol. 152, pp. 51-61
Closed Access | Times Cited: 132
Yaojin Lin, Yuwen Li, Chenxi Wang, et al.
Knowledge-Based Systems (2018) Vol. 152, pp. 51-61
Closed Access | Times Cited: 132
Entropy measures and granularity measures for set-valued information systems
Jianhua Dai, Haowei Tian
Information Sciences (2013) Vol. 240, pp. 72-82
Closed Access | Times Cited: 125
Jianhua Dai, Haowei Tian
Information Sciences (2013) Vol. 240, pp. 72-82
Closed Access | Times Cited: 125
Incorporating Diversity and Informativeness in Multiple-Instance Active Learning
Ran Wang, Xizhao Wang, Sam Kwong, et al.
IEEE Transactions on Fuzzy Systems (2017) Vol. 25, Iss. 6, pp. 1460-1475
Closed Access | Times Cited: 102
Ran Wang, Xizhao Wang, Sam Kwong, et al.
IEEE Transactions on Fuzzy Systems (2017) Vol. 25, Iss. 6, pp. 1460-1475
Closed Access | Times Cited: 102
Fuzzy Rough Set Based Feature Selection for Large-Scale Hierarchical Classification
Hong Zhao, Ping Wang, Qinghua Hu, et al.
IEEE Transactions on Fuzzy Systems (2019) Vol. 27, Iss. 10, pp. 1891-1903
Closed Access | Times Cited: 90
Hong Zhao, Ping Wang, Qinghua Hu, et al.
IEEE Transactions on Fuzzy Systems (2019) Vol. 27, Iss. 10, pp. 1891-1903
Closed Access | Times Cited: 90
Matrix-based dynamic updating rough fuzzy approximations for data mining
Yanyong Huang, Tianrui Li, Chuan Luo, et al.
Knowledge-Based Systems (2016) Vol. 119, pp. 273-283
Open Access | Times Cited: 86
Yanyong Huang, Tianrui Li, Chuan Luo, et al.
Knowledge-Based Systems (2016) Vol. 119, pp. 273-283
Open Access | Times Cited: 86
Probability granular distance-based fuzzy rough set model
Shuang An, Qinghua Hu, Changzhong Wang
Applied Soft Computing (2021) Vol. 102, pp. 107064-107064
Closed Access | Times Cited: 59
Shuang An, Qinghua Hu, Changzhong Wang
Applied Soft Computing (2021) Vol. 102, pp. 107064-107064
Closed Access | Times Cited: 59
An Efficient and Adaptive Granular-Ball Generation Method in Classification Problem
Shuyin Xia, Xiaochuan Dai, Guoyin Wang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 4, pp. 5319-5331
Open Access | Times Cited: 41
Shuyin Xia, Xiaochuan Dai, Guoyin Wang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 4, pp. 5319-5331
Open Access | Times Cited: 41
Feature Grouping and Selection With Graph Theory in Robust Fuzzy Rough Approximation Space
Jihong Wan, Hongmei Chen, Tianrui Li, et al.
IEEE Transactions on Fuzzy Systems (2022) Vol. 31, Iss. 1, pp. 213-225
Closed Access | Times Cited: 37
Jihong Wan, Hongmei Chen, Tianrui Li, et al.
IEEE Transactions on Fuzzy Systems (2022) Vol. 31, Iss. 1, pp. 213-225
Closed Access | Times Cited: 37
Robust fuzzy rough approximations with kNN granules for semi-supervised feature selection
Shuang An, Mengru Zhang, Changzhong Wang, et al.
Fuzzy Sets and Systems (2023) Vol. 461, pp. 108476-108476
Closed Access | Times Cited: 26
Shuang An, Mengru Zhang, Changzhong Wang, et al.
Fuzzy Sets and Systems (2023) Vol. 461, pp. 108476-108476
Closed Access | Times Cited: 26
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: 21
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: 21
FRCM: A fuzzy rough c-means clustering method
Bin Yu, Zijian Zheng, Mingjie Cai, et al.
Fuzzy Sets and Systems (2024) Vol. 480, pp. 108860-108860
Closed Access | Times Cited: 11
Bin Yu, Zijian Zheng, Mingjie Cai, et al.
Fuzzy Sets and Systems (2024) Vol. 480, pp. 108860-108860
Closed Access | Times Cited: 11
A comprehensive study of implicator–conjunctor-based and noise-tolerant fuzzy rough sets: Definitions, properties and robustness analysis
Lynn D’eer, Nele Verbiest, Chris Cornelis, et al.
Fuzzy Sets and Systems (2014) Vol. 275, pp. 1-38
Open Access | Times Cited: 90
Lynn D’eer, Nele Verbiest, Chris Cornelis, et al.
Fuzzy Sets and Systems (2014) Vol. 275, pp. 1-38
Open Access | Times Cited: 90
A novel variable precision ( θ , σ )
Yanqing Yao, Ju‐Sheng Mi, Zhoujun Li
Fuzzy Sets and Systems (2013) Vol. 236, pp. 58-72
Closed Access | Times Cited: 87
Yanqing Yao, Ju‐Sheng Mi, Zhoujun Li
Fuzzy Sets and Systems (2013) Vol. 236, pp. 58-72
Closed Access | Times Cited: 87
A graph approach for fuzzy-rough feature selection
Jinkun Chen, Ju‐Sheng Mi, Yaojin Lin
Fuzzy Sets and Systems (2019) Vol. 391, pp. 96-116
Closed Access | Times Cited: 74
Jinkun Chen, Ju‐Sheng Mi, Yaojin Lin
Fuzzy Sets and Systems (2019) Vol. 391, pp. 96-116
Closed Access | Times Cited: 74
Granular variable precision fuzzy rough sets with general fuzzy relations
Chun Yong Wang, Bao Qing Hu
Fuzzy Sets and Systems (2015) Vol. 275, pp. 39-57
Closed Access | Times Cited: 68
Chun Yong Wang, Bao Qing Hu
Fuzzy Sets and Systems (2015) Vol. 275, pp. 39-57
Closed Access | Times Cited: 68
A fuzzy rough set-based feature selection method using representative instances
Xiao Zhang, Changlin Mei, Degang Chen, et al.
Knowledge-Based Systems (2018) Vol. 151, pp. 216-229
Closed Access | Times Cited: 66
Xiao Zhang, Changlin Mei, Degang Chen, et al.
Knowledge-Based Systems (2018) Vol. 151, pp. 216-229
Closed Access | Times Cited: 66
Feature selection for multi-label learning based on kernelized fuzzy rough sets
Yuwen Li, Yaojin Lin, Jinghua Liu, et al.
Neurocomputing (2018) Vol. 318, pp. 271-286
Closed Access | Times Cited: 65
Yuwen Li, Yaojin Lin, Jinghua Liu, et al.
Neurocomputing (2018) Vol. 318, pp. 271-286
Closed Access | Times Cited: 65
Incremental feature selection based on fuzzy rough sets
Peng Ni, Suyun Zhao, Xizhao Wang, et al.
Information Sciences (2020) Vol. 536, pp. 185-204
Closed Access | Times Cited: 65
Peng Ni, Suyun Zhao, Xizhao Wang, et al.
Information Sciences (2020) Vol. 536, pp. 185-204
Closed Access | Times Cited: 65
Data-Distribution-Aware Fuzzy Rough Set Model and its Application to Robust Classification
Shuang An, Qinghua Hu, Witold Pedrycz, et al.
IEEE Transactions on Cybernetics (2015), pp. 1-13
Closed Access | Times Cited: 64
Shuang An, Qinghua Hu, Witold Pedrycz, et al.
IEEE Transactions on Cybernetics (2015), pp. 1-13
Closed Access | Times Cited: 64
