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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:

FRULER: Fuzzy Rule Learning through Evolution for Regression
I. Rodríguez-Fdez, Manuel Mucientes, Alberto Bugarín
Information Sciences (2016) Vol. 354, pp. 1-18
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

AI-Based Model Order Reduction Techniques: A Survey
Subir K. Mallick, Monika Mittal
Archives of Computational Methods in Engineering (2025)
Closed Access | Times Cited: 1
Hierarchical fuzzy regression tree: A new gradient boosting approach to design a TSK fuzzy model
Zhen Mei, Tao Zhao, Xiangpeng Xie
Information Sciences (2023) Vol. 652, pp. 119740-119740
Closed Access | Times Cited: 23
Autonomous learning for fuzzy systems: a review
Xiaowei Gu, Jungong Han, Qiang Shen, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 8, pp. 7549-7595
Open Access | Times Cited: 31
Reinforced Fuzzy Rule-based Neural Networks Realized Through Streamlined Feature Selection Strategy and Fuzzy Clustering with Distance Variation
Zheng Wang, Eun-Hu Kim, Sung‐Kwun Oh, et al.
IEEE Transactions on Fuzzy Systems (2024) Vol. 32, Iss. 10, pp. 5674-5686
Closed Access | Times Cited: 6
Fuzzy clustering-based neural network based on linear fitting residual-driven weighted fuzzy clustering and convolutional regularization strategy
Fan Bu, Congcong Zhang, Eun-Hu Kim, et al.
Applied Soft Computing (2024) Vol. 154, pp. 111403-111403
Closed Access | Times Cited: 5
Machine learning approaches to understand the influence of urban environments on human’s physiological response
Varun Ojha, Danielle Griego, Saskia Kuliga, et al.
Information Sciences (2018) Vol. 474, pp. 154-169
Open Access | Times Cited: 54
Farming under urban pressure: Farmers' land use and land cover change intentions
Eduardo Gomes, Patrícia Abrantes, Arnaud Banos, et al.
Applied Geography (2018) Vol. 102, pp. 58-70
Closed Access | Times Cited: 47
Fuzzy Treed Gaussian Process for Nonstationary Regression with Large-scale Datasets
Wen Yao, Ning Wang, Xingchen Li
Knowledge-Based Systems (2025), pp. 113285-113285
Closed Access
Granular computing-based approach for classification towards reduction of bias in ensemble learning
Han Liu, Mihaela Cocea
Granular Computing (2016) Vol. 2, Iss. 3, pp. 131-139
Open Access | Times Cited: 44
MOKBL+MOMs: An interpretable multi-objective evolutionary fuzzy system for learning high-dimensional regression data
Fatemeh Aghaeipoor, Mohammad Masoud Javidi
Information Sciences (2019) Vol. 496, pp. 1-24
Closed Access | Times Cited: 35
Ensemble Belief Rule-Based Model for complex system classification and prediction
Yaqian You, Jianbin Sun, Yu‐Wang Chen, et al.
Expert Systems with Applications (2020) Vol. 164, pp. 113952-113952
Open Access | Times Cited: 31
Efficiency in Nigerian ports: handling imprecise data with a two-stage fuzzy approach
Peter Wänke, Obioma Reuben Nwaogbe, Zhongfei Chen
Maritime Policy & Management (2017) Vol. 45, Iss. 5, pp. 699-715
Closed Access | Times Cited: 28
Disjunctive Fuzzy Neural Networks: A New Splitting-Based Approach to Designing a T–S Fuzzy Model
Ning Wang, Witold Pedrycz, Wen Yao, et al.
IEEE Transactions on Fuzzy Systems (2020) Vol. 30, Iss. 2, pp. 370-381
Closed Access | Times Cited: 25
DECO3RUM: A Differential Evolution learning approach for generating compact Mamdani fuzzy rule-based models
Nikolaos Tsakiridis, John B. Theocharis, George Zalidis
Expert Systems with Applications (2017) Vol. 83, pp. 257-272
Closed Access | Times Cited: 25
Efficiency in BRICS banking under data vagueness: A two-stage fuzzy approach
Peter Wänke, Abul Kalam Azad, Ali Emrouznejad
Global Finance Journal (2017) Vol. 35, pp. 58-71
Open Access | Times Cited: 22
S-FRULER: Scalable fuzzy rule learning through evolution for regression
I. Rodríguez-Fdez, Manuel Mucientes, Alberto Bugarín
Knowledge-Based Systems (2016) Vol. 110, pp. 255-266
Closed Access | Times Cited: 21
Multipopulation Nature-Inspired Algorithm (MNIA) for the Designing of Interpretable Fuzzy Systems
Adam Słowik, Krzysztof Cpałka, Krystian Łapa
IEEE Transactions on Fuzzy Systems (2019) Vol. 28, Iss. 6, pp. 1125-1139
Closed Access | Times Cited: 20
A novel and fast MIMO fuzzy inference system based on a class of fuzzy clustering algorithms with interpretability and complexity analysis
S. Askari
Expert Systems with Applications (2017) Vol. 84, pp. 301-322
Closed Access | Times Cited: 20
Significant wave height and energy flux estimation with a Genetic Fuzzy System for regression
L. Cornejo-Bueno, Pablo Rodríguez-Mier, Manuel Mucientes, et al.
Ocean Engineering (2018) Vol. 160, pp. 33-44
Closed Access | Times Cited: 17
A Multi-Agent Architecture for the Design of Hierarchical Interval Type-2 Beta Fuzzy System
Yosra Jarraya, Souhir Bouaziz, Hani Hagras, et al.
IEEE Transactions on Fuzzy Systems (2018) Vol. 27, Iss. 6, pp. 1174-1188
Open Access | Times Cited: 17
Feature Selection and Evolutionary Rule Learning for Big Data in Smart Building Energy Management
Pablo Rodríguez-Mier, Manuel Mucientes, Alberto Bugarín
Cognitive Computation (2019) Vol. 11, Iss. 3, pp. 418-433
Closed Access | Times Cited: 17
Automatic synthesis of fuzzy systems: An evolutionary overview with a genetic programming perspective
Adriano Koshiyama, Ricardo Tanscheit, Marley Vellasco
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2018) Vol. 9, Iss. 2
Open Access | Times Cited: 14
On the influence of using fuzzy extensions in linguistic fuzzy rule-based regression systems
Fatemeh Aghaeipoor, Mohammad Masoud Javidi
Applied Soft Computing (2019) Vol. 79, pp. 283-299
Closed Access | Times Cited: 12
A parametric recurrent neural network scheme for solving a class of fuzzy regression models with some real-world applications
Delara Karbasi, Alireza Nazemi, Mohammadreza Rabiei
Soft Computing (2020) Vol. 24, Iss. 15, pp. 11159-11187
Closed Access | Times Cited: 10
EEFR-R: extracting effective fuzzy rules for regression problems, through the cooperation of association rule mining concepts and evolutionary algorithms
Fatemeh Aghaeipoor, Mahdi Eftekhari
Soft Computing (2019) Vol. 23, Iss. 22, pp. 11737-11757
Closed Access | Times Cited: 10
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