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:

Applications of Fuzzy Rough Set Theory in Machine Learning: a Survey
Sarah Vluymans, Lynn D’eer, Yvan Saeys, et al.
Fundamenta Informaticae (2015) Vol. 142, Iss. 1-4, pp. 53-86
Closed Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

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

Belief functions and rough sets: Survey and new insights
Andrea Campagner, Davide Ciucci, Thierry Denœux
International Journal of Approximate Reasoning (2022) Vol. 143, pp. 192-215
Open Access | Times Cited: 49

Rough sets: past, present, and future
Andrzej Skowron, Soma Dutta
Natural Computing (2018) Vol. 17, Iss. 4, pp. 855-876
Open Access | Times Cited: 79

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

Fuzzy rough sets and fuzzy rough neural networks for feature selection: A review
Wanting Ji, Yan Pang, Xiaoyun Jia, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2021) Vol. 11, Iss. 3
Closed Access | Times Cited: 46

Hybrid Missing Value Imputation Algorithms Using Fuzzy C-Means and Vaguely Quantified Rough Set
Daiwei Li, Haiqing Zhang, Tianrui Li, et al.
IEEE Transactions on Fuzzy Systems (2021) Vol. 30, Iss. 5, pp. 1396-1408
Closed Access | Times Cited: 44

A novel feature selection method using fuzzy rough sets
T. K. Sheeja, Abraham Kuriakose
Computers in Industry (2018) Vol. 97, pp. 111-116
Closed Access | Times Cited: 55

Multi-label classification using a fuzzy rough neighborhood consensus
Sarah Vluymans, Chris Cornelis, Francisco Herrera, et al.
Information Sciences (2017) Vol. 433-434, pp. 96-114
Closed Access | Times Cited: 53

Instance and Feature Selection Using Fuzzy Rough Sets: A Bi-Selection Approach for Data Reduction
Xiao Zhang, Changlin Mei, Jinhai Li, et al.
IEEE Transactions on Fuzzy Systems (2022) Vol. 31, Iss. 6, pp. 1981-1994
Closed Access | Times Cited: 24

Fuzzy rough nearest neighbour methods for detecting emotions, hate speech and irony
Olha Kaminska, Chris Cornelis, Véronique Hoste
Information Sciences (2023) Vol. 625, pp. 521-535
Open Access | Times Cited: 13

Weight selection strategies for ordered weighted average based fuzzy rough sets
Sarah Vluymans, Neil Mac Parthaláin, Chris Cornelis, et al.
Information Sciences (2019) Vol. 501, pp. 155-171
Open Access | Times Cited: 39

Analysing effectiveness of grey theory-based feature selection for meteorological estimation models
Kshema Shaju, Sherin Babu, Binu Thomas
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106243-106243
Closed Access | Times Cited: 11

Dynamic affinity-based classification of multi-class imbalanced data with one-versus-one decomposition: a fuzzy rough set approach
Sarah Vluymans, Alberto Fernández, Yvan Saeys, et al.
Knowledge and Information Systems (2017) Vol. 56, Iss. 1, pp. 55-84
Closed Access | Times Cited: 34

Multigranulation consensus fuzzy-rough based attribute reduction
Weiping Ding, Jiandong Wang, Jiehua Wang
Knowledge-Based Systems (2020) Vol. 198, pp. 105945-105945
Closed Access | Times Cited: 29

Fuzzy rough sets based on fuzzy quantification
Adnan Theerens, Chris Cornelis
Fuzzy Sets and Systems (2023) Vol. 473, pp. 108704-108704
Open Access | Times Cited: 10

A fuzzy-rough uncertainty measure to discover bias encoded explicitly or implicitly in features of structured pattern classification datasets
Gonzalo Nápoles, Lisa Koutsoviti Koumeri
Pattern Recognition Letters (2022) Vol. 154, pp. 29-36
Open Access | Times Cited: 14

fuzzy-rough-learn 0.1: A Python Library for Machine Learning with Fuzzy Rough Sets
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
Lecture notes in computer science (2020), pp. 491-499
Open Access | Times Cited: 21

Classification with Fuzzification Optimization Combining Fuzzy Information Systems and Type-2 Fuzzy Inference
Martin Tabakov, Adrian B. Chłopowiec, Adam R. Chłopowiec, et al.
Applied Sciences (2021) Vol. 11, Iss. 8, pp. 3484-3484
Open Access | Times Cited: 16

Choquet-based fuzzy rough sets
Adnan Theerens, Oliver Urs Lenz, Chris Cornelis
International Journal of Approximate Reasoning (2022) Vol. 146, pp. 62-78
Open Access | Times Cited: 11

Selection of Winter Season Crop Pattern for Environmental-Friendly Agricultural Practices in India
Veerasekar Palaniappan Sambasivam, Gowtham Thiyagarajan, Golam Kabir, et al.
Sustainability (2020) Vol. 12, Iss. 11, pp. 4562-4562
Open Access | Times Cited: 16

Fuzzy Rough Nearest Neighbour Methods for Aspect-Based Sentiment Analysis
Olha Kaminska, Chris Cornelis, Véronique Hoste
Electronics (2023) Vol. 12, Iss. 5, pp. 1088-1088
Open Access | Times Cited: 5

Fuzzy multi-neighborhood entropy-based interactive feature selection for unsupervised outlier detection
Siyu Yang, Zhong Yuan, Chuan Luo, et al.
Applied Soft Computing (2024) Vol. 169, pp. 112572-112572
Closed Access | Times Cited: 1

Attribute Reduction: An Ensemble Strategy
Suping Xu, Pingxin Wang, Jinhai Li, et al.
Lecture notes in computer science (2017), pp. 362-375
Closed Access | Times Cited: 14

Uncertainty and Equivalence Relation Analysis for Hesitant Fuzzy–Rough Sets and Their Applications in Classification
Haiqing Zhang, Daiwei Li, Tao Wang, et al.
Computing in Science & Engineering (2018) Vol. 21, Iss. 6, pp. 26-39
Closed Access | Times Cited: 11

Development Status and Prospects of Artificial Intelligence in the Field of Energy Conversion Materials
Xinyi Yang, Ziyi Luo, Zihan Huang, et al.
Frontiers in Energy Research (2020) Vol. 8
Open Access | Times Cited: 11

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