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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:

An efficient selector for multi-granularity attribute reduction
Keyu Liu, Xibei Yang, Hamido Fujita, et al.
Information Sciences (2019) Vol. 505, pp. 457-472
Closed Access | Times Cited: 115

Showing 1-25 of 115 citing articles:

Attribute group for attribute reduction
Yan Chen, Keyu Liu, Jingjing Song, et al.
Information Sciences (2020) Vol. 535, pp. 64-80
Closed Access | Times Cited: 99
Accelerator for supervised neighborhood based attribute reduction
Zehua Jiang, Keyu Liu, Xibei Yang, et al.
International Journal of Approximate Reasoning (2020) Vol. 119, pp. 122-150
Open Access | Times Cited: 81
Dynamic updating approximations of local generalized multigranulation neighborhood rough set
Weihua Xu, Kehua Yuan, Wentao Li
Applied Intelligence (2022) Vol. 52, Iss. 8, pp. 9148-9173
Closed Access | Times Cited: 62
A three-way decision methodology to multi-attribute decision-making in multi-scale decision information systems
Jiang Deng, Jianming Zhan, Wei-Zhi Wu
Information Sciences (2021) Vol. 568, pp. 175-198
Closed Access | Times Cited: 55
Temporal-spatial three-way granular computing for dynamic text sentiment classification
Xin Yang, Yujie Li, Qiuke Li, et al.
Information Sciences (2022) Vol. 596, pp. 551-566
Closed Access | Times Cited: 41
An overview of granular computing in decision-making: Extensions, applications, and challenges
Jindong Qin, Luis Martı́nez, Witold Pedrycz, et al.
Information Fusion (2023) Vol. 98, pp. 101833-101833
Closed Access | Times Cited: 31
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
A multilevel neighborhood sequential decision approach of three-way granular computing
Xin Yang, Tianrui Li, Dun Liu, et al.
Information Sciences (2020) Vol. 538, pp. 119-141
Closed Access | Times Cited: 56
Supervised information granulation strategy for attribute reduction
Keyu Liu, Xibei Yang, Hualong Yu, et al.
International Journal of Machine Learning and Cybernetics (2020) Vol. 11, Iss. 9, pp. 2149-2163
Closed Access | Times Cited: 53
Semi-supervised learning with mixed-order graph convolutional networks
Jie Wang, Jianqing Liang, Junbiao Cui, et al.
Information Sciences (2021) Vol. 573, pp. 171-181
Closed Access | Times Cited: 45
Granular ball guided selector for attribute reduction
Yan Chen, Pingxin Wang, Xibei Yang, et al.
Knowledge-Based Systems (2021) Vol. 229, pp. 107326-107326
Closed Access | Times Cited: 40
Exploring interactive attribute reduction via fuzzy complementary entropy for unlabeled mixed data
Zhong Yuan, Hongmei Chen, Tianrui Li
Pattern Recognition (2022) Vol. 127, pp. 108651-108651
Closed Access | Times Cited: 32
CL-TGD: A novel point-wise contrastive learning with dynamic temporal granularity data incorporation for wind power prediction
Nanyang Zhu, Ning Jia, Wenjun Bi, et al.
Expert Systems with Applications (2025), pp. 126402-126402
Closed Access
Zoom method for association rules in multi-granularity formal context
Lihui Niu, Ju‐Sheng Mi, Yuzhang Bai, et al.
Soft Computing (2025)
Closed Access
Robust supervised rough granular description model with the principle of justifiable granularity
Hengrong Ju, Weiping Ding, Xibei Yang, et al.
Applied Soft Computing (2021) Vol. 110, pp. 107612-107612
Closed Access | Times Cited: 39
Granular cabin: An efficient solution to neighborhood learning in big data
Keyu Liu, Tianrui Li, Xibei Yang, et al.
Information Sciences (2021) Vol. 583, pp. 189-201
Closed Access | Times Cited: 39
Random sampling accelerator for attribute reduction
Zhen Chen, Keyu Liu, Xibei Yang, et al.
International Journal of Approximate Reasoning (2021) Vol. 140, pp. 75-91
Closed Access | Times Cited: 38
Iteratively local fisher score for feature selection
Min Gan, Li Zhang
Applied Intelligence (2021) Vol. 51, Iss. 8, pp. 6167-6181
Closed Access | Times Cited: 36
A dynamic rule-based classification model via granular computing
Jiaojiao Niu, Degang Chen, Jinhai Li, et al.
Information Sciences (2021) Vol. 584, pp. 325-341
Open Access | Times Cited: 33
Attribution reduction based on sequential three-way search of granularity
Xun Wang, Pingxin Wang, Xibei Yang, et al.
International Journal of Machine Learning and Cybernetics (2021) Vol. 12, Iss. 5, pp. 1439-1458
Closed Access | Times Cited: 32
Mixed measure-based feature selection using the Fisher score and neighborhood rough sets
Lin Sun, Jiuxiao Zhang, Weiping Ding, et al.
Applied Intelligence (2022) Vol. 52, Iss. 15, pp. 17264-17288
Closed Access | Times Cited: 25
Hierarchical neighborhood entropy based multi-granularity attribute reduction with application to gene prioritization
Keyu Liu, Tianrui Li, Xibei Yang, et al.
International Journal of Approximate Reasoning (2022) Vol. 148, pp. 57-67
Closed Access | Times Cited: 25
Online structural clustering based on DBSCAN extension with granular descriptors
Tinghui Ouyang, Xun Shen
Information Sciences (2022) Vol. 607, pp. 688-704
Closed Access | Times Cited: 22
Glee: A granularity filter for feature selection
Jing Ba, Pingxin Wang, Xibei Yang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106080-106080
Closed Access | Times Cited: 14
Deep multi-granularity graph embedding for user identity linkage across social networks
Shun Fu, Guoyin Wang, Shuyin Xia, et al.
Knowledge-Based Systems (2019) Vol. 193, pp. 105301-105301
Closed Access | Times Cited: 38
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