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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 incremental attribute reduction approach based on knowledge granularity with a multi-granulation view
Yunge Jing, Tianrui Li, Hamido Fujita, et al.
Information Sciences (2017) Vol. 411, pp. 23-38
Open Access | Times Cited: 96

Showing 1-25 of 96 citing articles:

Fuzzy rough set-based attribute reduction using distance measures
Changzhong Wang, Yang Huang, Mingwen Shao, et al.
Knowledge-Based Systems (2018) Vol. 164, pp. 205-212
Closed Access | Times Cited: 208
Resilience Analysis of Critical Infrastructures: A Cognitive Approach Based on Granular Computing
Hamido Fujita, Angelo Gaeta, Vincenzo Loia, et al.
IEEE Transactions on Cybernetics (2018) Vol. 49, Iss. 5, pp. 1835-1848
Closed Access | Times Cited: 163
Online feature selection for high-dimensional class-imbalanced data
Peng Zhou, Xuegang Hu, Peipei Li, et al.
Knowledge-Based Systems (2017) Vol. 136, pp. 187-199
Closed Access | Times Cited: 142
Active Incremental Feature Selection Using a Fuzzy-Rough-Set-Based Information Entropy
Xiao Zhang, Changlin Mei, Degang Chen, et al.
IEEE Transactions on Fuzzy Systems (2019) Vol. 28, Iss. 5, pp. 901-915
Closed Access | Times Cited: 124
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
Local neighborhood rough set
Qi Wang, Yuhua Qian, Xinyan Liang, et al.
Knowledge-Based Systems (2018) Vol. 153, pp. 53-64
Closed Access | Times Cited: 117
Neighborhood multi-granulation rough sets-based attribute reduction using Lebesgue and entropy measures in incomplete neighborhood decision systems
Lin Sun, Lanying Wang, Weiping Ding, et al.
Knowledge-Based Systems (2019) Vol. 192, pp. 105373-105373
Closed Access | Times Cited: 117
Feature selection via normative fuzzy information weight with application into tumor classification
Jianhua Dai, Jiaolong Chen
Applied Soft Computing (2020) Vol. 92, pp. 106299-106299
Closed Access | Times Cited: 85
Intuitionistic Fuzzy Granular Matrix: Novel Calculation Approaches for Intuitionistic Fuzzy Covering-Based Rough Sets
Jingqian Wang, Xiaohong Zhang
Axioms (2024) Vol. 13, Iss. 6, pp. 411-411
Open Access | Times Cited: 14
A novel incremental attribute reduction approach for dynamic incomplete decision systems
Xiaojun Xie, Xiaolin Qin
International Journal of Approximate Reasoning (2017) Vol. 93, pp. 443-462
Closed Access | Times Cited: 77
A framework for learning and embedding multi-sensor forecasting models into a decision support system: A case study of methane concentration in coal mines
Dominik Ślęzak, Marek Grzegorowski, Andrzej Janusz, et al.
Information Sciences (2018) Vol. 451-452, pp. 112-133
Closed Access | Times Cited: 60
Mind the gap: Developments in autonomous driving research and the sustainability challenge
Luca Mora, Xinyi Wu, Anastasia Panori
Journal of Cleaner Production (2020) Vol. 275, pp. 124087-124087
Open Access | Times Cited: 49
Incremental feature selection by sample selection and feature-based accelerator
Yanyan Yang, Degang Chen, Xiao Zhang, et al.
Applied Soft Computing (2022) Vol. 121, pp. 108800-108800
Closed Access | Times Cited: 28
Feature subset selection for data and feature streams: a review
Carlos Villa‐Blanco, Concha Bielza, Pedro Larrañaga
Artificial Intelligence Review (2023) Vol. 56, Iss. S1, pp. 1011-1062
Open Access | Times Cited: 17
Feature selection using three-stage heuristic measures based on mutual fuzzy granularities
Qian Wang, Xianyong Zhang
Applied Intelligence (2024) Vol. 54, Iss. 2, pp. 1445-1473
Closed Access | Times Cited: 5
An incremental attribute reduction method for dynamic data mining
Yunge Jing, Tianrui Li, Hamido Fujita, et al.
Information Sciences (2018) Vol. 465, pp. 202-218
Closed Access | Times Cited: 57
Granular maximum decision entropy-based monotonic uncertainty measure for attribute reduction
Can Gao, Zhihui Lai, Jie Zhou, et al.
International Journal of Approximate Reasoning (2018) Vol. 104, pp. 9-24
Open Access | Times Cited: 50
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
Local logical disjunction double-quantitative rough sets
Yanting Guo, Eric C.C. Tsang, Weihua Xu, et al.
Information Sciences (2019) Vol. 500, pp. 87-112
Closed Access | Times Cited: 46
Incremental approaches for heterogeneous feature selection in dynamic ordered data
Binbin Sang, Hongmei Chen, Tianrui Li, et al.
Information Sciences (2020) Vol. 541, pp. 475-501
Closed Access | Times Cited: 40
Maximum decision entropy-based attribute reduction in decision-theoretic rough set model
Can Gao, Zhihui Lai, Jie Zhou, et al.
Knowledge-Based Systems (2017) Vol. 143, pp. 179-191
Closed Access | Times Cited: 46
Three-way class-specific attribute reducts from the information viewpoint
Xianyong Zhang, Jilin Yang, Lingyu Tang
Information Sciences (2018) Vol. 507, pp. 840-872
Closed Access | Times Cited: 44
Novel Incremental Algorithms for Attribute Reduction From Dynamic Decision Tables Using Hybrid Filter–Wrapper With Fuzzy Partition Distance
Nguyễn Long Giang, Lê Hoàng Sơn, Trần Thị Ngân, et al.
IEEE Transactions on Fuzzy Systems (2019) Vol. 28, Iss. 5, pp. 858-873
Closed Access | Times Cited: 41
Incremental updating knowledge in neighborhood multigranulation rough sets under dynamic granular structures
Chengxiang Hu, Li Zhang, Bangjun Wang, et al.
Knowledge-Based Systems (2018) Vol. 163, pp. 811-829
Closed Access | Times Cited: 39
Fuzzy granular classification based on the principle of justifiable granularity
Chen Fu, Wei Lu, Witold Pedrycz, et al.
Knowledge-Based Systems (2019) Vol. 170, pp. 89-101
Closed Access | Times Cited: 39
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