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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 interpretability improvement for fuzzy rule bases obtained by the iterative rule learning approach
David García, Juan Carlos Valenzuela Gámez, Antonio González, et al.
International Journal of Approximate Reasoning (2015) Vol. 67, pp. 37-58
Open Access | Times Cited: 14

Showing 14 citing articles:

Critical Thinking About Explainable AI (XAI) for Rule-Based Fuzzy Systems
Jerry M. Mendel, Piero P. Bonissone
IEEE Transactions on Fuzzy Systems (2021) Vol. 29, Iss. 12, pp. 3579-3593
Open Access | Times Cited: 59
Fuzzy rule base simplification using multidimensional scaling and constrained optimization
George E. Tsekouras
Fuzzy Sets and Systems (2015) Vol. 297, pp. 46-72
Closed Access | Times Cited: 23
Interpretability Constraints for Fuzzy Modeling Implemented by Constrained Particle Swarm Optimization
George E. Tsekouras, John Tsimikas, Christos Kalloniatis, et al.
IEEE Transactions on Fuzzy Systems (2017) Vol. 26, Iss. 4, pp. 2348-2361
Closed Access | Times Cited: 21
Data-driven inference modeling based on an on-line Wang-Mendel fuzzy approach
Yanwei Zhai, Zheng Lv, Jun Zhao, et al.
Information Sciences (2020) Vol. 551, pp. 113-127
Closed Access | Times Cited: 10
An Incremental Approach to Address Big Data Classification Problems Using Cognitive Models
Antonio González, Raúl Pérez, Rocío Romero‐Zaliz
Cognitive Computation (2019) Vol. 11, Iss. 3, pp. 347-366
Closed Access | Times Cited: 9
Ordinal classification based on the sequential covering strategy
Juan Carlos Valenzuela Gámez, David García, Antonio González, et al.
International Journal of Approximate Reasoning (2016) Vol. 76, pp. 96-110
Open Access | Times Cited: 8
On the use of an incremental approach to learn fuzzy classification rules for big data problems
Juan Carlos Valenzuela Gámez, David García, Antonio González, et al.
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2016), pp. 1413-1420
Closed Access | Times Cited: 8
Incremental fuzzy learning algorithms in big data problems: A study on the size of learning subsets
Rocío Romero-Záliz, Antonio González, Raúl Pérez
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2017) Vol. 132, pp. 1-6
Closed Access | Times Cited: 6
An algorithm based on fuzzy ordinal classification to predict students’ academic performance
Juan Carlos Valenzuela Gámez, Aurora Esteban, Francisco J. Rodriguez‐Lozano, et al.
Applied Intelligence (2023) Vol. 53, Iss. 22, pp. 27537-27559
Open Access | Times Cited: 2
Type-1 Fuzzy Systems
Jerry M. Mendel
Springer eBooks (2024), pp. 75-138
Closed Access
Discovering relational and numerical expressions from plan traces for learning action models
José Á. Segura-Muros, Raúl Pérez, Juan Fernández-Olivares
Applied Intelligence (2021) Vol. 51, Iss. 11, pp. 7973-7989
Closed Access | Times Cited: 4
A Search Optimization Method for Rule Learning in Board Games
Hui Wang, Yanni Tang, Jiamou Liu, et al.
Lecture notes in computer science (2018), pp. 174-181
Closed Access | Times Cited: 3
Type-1 Fuzzy Systems
Jerry M. Mendel
Springer eBooks (2017), pp. 101-159
Closed Access | Times Cited: 2
Learning Numerical Action Models from Noisy Input Data
José Á. Segura-Muros, Juan Fernández-Olivares, Raúl Pérez
arXiv (Cornell University) (2021)
Closed Access
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