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:

Quick attribute reduct algorithm for neighborhood rough set model
Yong Liu, Huang Wen-liang, Yunliang Jiang, et al.
Information Sciences (2014) Vol. 271, pp. 65-81
Closed Access | Times Cited: 102

Showing 1-25 of 102 citing articles:

Attribute reduction based on k-nearest neighborhood rough sets
Changzhong Wang, Yunpeng Shi, Xiaodong Fan, et al.
International Journal of Approximate Reasoning (2018) Vol. 106, pp. 18-31
Open Access | Times Cited: 160

Online multi-label streaming feature selection based on neighborhood rough set
Jinghua Liu, Yaojin Lin, Yuwen Li, et al.
Pattern Recognition (2018) Vol. 84, pp. 273-287
Closed Access | Times Cited: 132

Pseudo-label neighborhood rough set: Measures and attribute reductions
Xibei Yang, Shaochen Liang, Hualong Yu, et al.
International Journal of Approximate Reasoning (2018) Vol. 105, pp. 112-129
Open Access | Times Cited: 128

Spatiotemporal deformation characteristics and triggering factors of Baijiabao landslide in Three Gorges Reservoir region, China
Wenmin Yao, Changdong Li, Qingjun Zuo, et al.
Geomorphology (2019) Vol. 343, pp. 34-47
Closed Access | Times Cited: 112

Gene selection for tumor classification using neighborhood rough sets and entropy measures
Yumin Chen, Zunjun Zhang, Jianzhong Zheng, et al.
Journal of Biomedical Informatics (2017) Vol. 67, pp. 59-68
Open Access | Times Cited: 103

Joint neighborhood entropy-based gene selection method with fisher score for tumor classification
Lin Sun, Xiaoyu Zhang, Yuhua Qian, et al.
Applied Intelligence (2018) Vol. 49, Iss. 4, pp. 1245-1259
Closed Access | Times Cited: 100

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

A novel attribute reduction algorithm based on rough set and improved artificial fish swarm algorithm
Xinyuan Luan, Zhan-Pei Li, Tingzhang Liu
Neurocomputing (2015) Vol. 174, pp. 522-529
Closed Access | Times Cited: 98

PSO-based feature selection and neighborhood rough set-based classification for BCI multiclass motor imagery task
Sanjay Kumar, H. Hannah Inbarani
Neural Computing and Applications (2016) Vol. 28, Iss. 11, pp. 3239-3258
Closed Access | Times Cited: 98

A novel hybrid feature selection method considering feature interaction in neighborhood rough set
Jihong Wan, Hongmei Chen, Zhong Yuan, et al.
Knowledge-Based Systems (2021) Vol. 227, pp. 107167-107167
Closed Access | Times Cited: 76

Measures of uncertainty for neighborhood rough sets
Yumin Chen, Yu Xue, Ying Ma, et al.
Knowledge-Based Systems (2017) Vol. 120, pp. 226-235
Closed Access | Times Cited: 83

A novel attribute reduction approach for multi-label data based on rough set theory
Hua Li, Deyu Li, Yanhui Zhai, et al.
Information Sciences (2016) Vol. 367-368, pp. 827-847
Closed Access | Times Cited: 79

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

Double-quantitative distance measurement and classification learning based on the tri-level granular structure of neighborhood system
Xianyong Zhang, Hongyuan Gou, Zhiying Lv, et al.
Knowledge-Based Systems (2021) Vol. 217, pp. 106799-106799
Open Access | Times Cited: 51

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

A Novel Neighborhood Rough Set Based Classification Approach for Medical Diagnosis
Sanjay Kumar, H. Hannah Inbarani
Procedia Computer Science (2015) Vol. 47, pp. 351-359
Open Access | Times Cited: 59

Neighborhood rough set based ECG signal classification for diagnosis of cardiac diseases
Sanjay Kumar, H. Hannah Inbarani
Soft Computing (2016) Vol. 21, Iss. 16, pp. 4721-4733
Closed Access | Times Cited: 58

Granule structures, distances and measures in neighborhood systems
Yumin Chen, Nan Qin, Wei Li, et al.
Knowledge-Based Systems (2018) Vol. 165, pp. 268-281
Closed Access | Times Cited: 48

A Novel Feature Selection Method for High-Dimensional Mixed Decision Tables
Nguyễn Ngọc Thủy, Sartra Wongthanavasu
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 7, pp. 3024-3037
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

Feature selection using self-information and entropy-based uncertainty measure for fuzzy neighborhood rough set
Jiucheng Xu, Meng Yuan, Yuanyuan Ma
Complex & Intelligent Systems (2021) Vol. 8, Iss. 1, pp. 287-305
Open Access | Times Cited: 38

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

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

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