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:

A Generalized Multi-granulation Rough Set Approach
Weihua Xu, Xiantao Zhang, Qiaorong Wang
Lecture notes in computer science (2012), pp. 681-689
Closed Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Multigranulation decision-theoretic rough sets
Yuhua Qian, Zhang Hu, Sang Yan-li, et al.
International Journal of Approximate Reasoning (2013) Vol. 55, Iss. 1, pp. 225-237
Open Access | Times Cited: 340

NMGRS: Neighborhood-based multigranulation rough sets
Guoping Lin, Yuhua Qian, Jinjin Li
International Journal of Approximate Reasoning (2012) Vol. 53, Iss. 7, pp. 1080-1093
Open Access | Times Cited: 216

A novel approach to information fusion in multi-source datasets: A granular computing viewpoint
Weihua Xu, Jianhang Yu
Information Sciences (2016) Vol. 378, pp. 410-423
Closed Access | Times Cited: 184

Three-way group decision making based on multigranulation fuzzy decision-theoretic rough set over two universes
Bingzhen Sun, Weimin Ma, Xia Xiao
International Journal of Approximate Reasoning (2016) Vol. 81, pp. 87-102
Open Access | Times Cited: 163

Test cost sensitive multigranulation rough set: Model and minimal cost selection
Xibei Yang, Yunsong Qi, Xiaoning Song, et al.
Information Sciences (2013) Vol. 250, pp. 184-199
Closed Access | Times Cited: 133

Generalized multigranulation double-quantitative decision-theoretic rough set
Weihua Xu, Yanting Guo
Knowledge-Based Systems (2016) Vol. 105, pp. 190-205
Closed Access | Times Cited: 126

Information fusion in rough set theory : An overview
Wei Wei, Jiye Liang
Information Fusion (2018) Vol. 48, pp. 107-118
Closed Access | Times Cited: 122

On multi-granulation covering rough sets
Caihui Liu, Duoqian Miao, Jin Qian
International Journal of Approximate Reasoning (2014) Vol. 55, Iss. 6, pp. 1404-1418
Closed Access | Times Cited: 116

Multiple granulation rough set approach to ordered information systems
Weihua Xu, Wenxin Sun, Xiaoyan Zhang, et al.
International Journal of General Systems (2012) Vol. 41, Iss. 5, pp. 475-501
Closed Access | Times Cited: 87

Multi-granulation fuzzy rough sets
Weihua Xu, Qiaorong Wang, Shuqun Luo
Journal of Intelligent & Fuzzy Systems (2014) Vol. 26, Iss. 3, pp. 1323-1340
Closed Access | Times Cited: 83

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

Optimistic Multi-granulation Rough Set Based Classification for Medical Diagnosis
S. Senthil Kumar, H. Hannah Inbarani
Procedia Computer Science (2015) Vol. 47, pp. 374-382
Open Access | Times Cited: 47

Multi-granulation fuzzy preference relation rough set for ordinal decision system
Wei Pan, Kun She, Pengyuan Wei
Fuzzy Sets and Systems (2016) Vol. 312, pp. 87-108
Closed Access | Times Cited: 43

Generalized multi-granulation double-quantitative decision-theoretic rough set of multi-source information system
Binbin Sang, Lei Yang, Hongmei Chen, et al.
International Journal of Approximate Reasoning (2019) Vol. 115, pp. 157-179
Open Access | Times Cited: 35

Double-quantitative multigranulation rough fuzzy set based on logical operations in multi-source decision systems
Xiuwei Chen, Weihua Xu
International Journal of Machine Learning and Cybernetics (2021) Vol. 13, Iss. 4, pp. 1021-1048
Closed Access | Times Cited: 29

Multi-granulation interval-valued fuzzy probabilistic rough sets and their corresponding three-way decisions based on interval-valued fuzzy preference relations
Prasenjit Mandal, A. S. Ranadive
Granular Computing (2018) Vol. 4, Iss. 1, pp. 89-108
Closed Access | Times Cited: 36

Double-quantitative decision-theoretic approach to multigranulation approximate space
Jianhang Yu, Biao Zhang, Minghao Chen, et al.
International Journal of Approximate Reasoning (2018) Vol. 98, pp. 236-258
Closed Access | Times Cited: 30

Multigranulation rough set: A multiset based strategy
Xibei Yang, Suping Xu, Huili Dou, et al.
International Journal of Computational Intelligence Systems (2016) Vol. 10, Iss. 1, pp. 277-277
Open Access | Times Cited: 27

Covering-based multi-granulation fuzzy rough sets
Caihui Liu, Witold Pedrycz
Journal of Intelligent & Fuzzy Systems (2015) Vol. 30, Iss. 1, pp. 303-318
Closed Access | Times Cited: 23

A variable precision grey-based multi-granulation rough set model and attribute reduction
Yun Kang, Shunxiang Wu, Yuwen Li, et al.
Knowledge-Based Systems (2018) Vol. 148, pp. 131-145
Closed Access | Times Cited: 21

Multi-Granulation Entropy and Its Applications
Kai Zeng, Kun She, Xinzheng Niu
Entropy (2013) Vol. 15, Iss. 6, pp. 2288-2302
Open Access | Times Cited: 20

Optimistic Multi-granulation Rough Set-Based Classification for Neonatal Jaundice Diagnosis
S. Senthil Kumar, H. Hannah Inbarani, Ahmad Taher Azar, et al.
Advances in intelligent systems and computing (2015), pp. 307-317
Closed Access | Times Cited: 18

Dynamic updating approximations approach to multi-granulation interval-valued hesitant fuzzy information systems with time-evolving attributes
Xiaoyan Zhang, Jirong Li, Ju‐Sheng Mi
Knowledge-Based Systems (2021) Vol. 238, pp. 107809-107809
Closed Access | Times Cited: 15

A rule-extraction framework under multigranulation rough sets
Xin Liu, Yuhua Qian, Jiye Liang
International Journal of Machine Learning and Cybernetics (2013) Vol. 5, Iss. 2, pp. 319-326
Closed Access | Times Cited: 19

Cardiac arrhythmia classification using multi-granulation rough set approaches
S. Senthil Kumar, H. Hannah Inbarani
International Journal of Machine Learning and Cybernetics (2016) Vol. 9, Iss. 4, pp. 651-666
Closed Access | Times Cited: 16

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