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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:

Boosting of granular models
Witold Pedrycz, Keun Chang Kwak
Fuzzy Sets and Systems (2006) Vol. 157, Iss. 22, pp. 2934-2953
Closed Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

A three-way decision methodology to multi-attribute decision-making in multi-scale decision information systems
Jiang Deng, Jianming Zhan, Wei-Zhi Wu
Information Sciences (2021) Vol. 568, pp. 175-198
Closed Access | Times Cited: 55
Linear asymmetric Laplace fuzzy information granule and its application in short-to-medium term prediction for financial time series
Hong Yang, Lina Wang
Information Sciences (2024) Vol. 662, pp. 120278-120278
Closed Access | Times Cited: 7
Maintenance of approximations in incomplete ordered decision systems while attribute values coarsening or refining
Hongmei Chen, Tianrui Li, Da Ruan
Knowledge-Based Systems (2012) Vol. 31, pp. 140-161
Closed Access | Times Cited: 84
Design of hybrid radial basis function neural networks (HRBFNNs) realized with the aid of hybridization of fuzzy clustering method (FCM) and polynomial neural networks (PNNs)
Wei Huang, Sung‐Kwun Oh, Witold Pedrycz
Neural Networks (2014) Vol. 60, pp. 166-181
Closed Access | Times Cited: 48
A neural-fuzzy modelling framework based on granular computing: Concepts and applications
George Panoutsos, Mahdi Mahfouf
Fuzzy Sets and Systems (2010) Vol. 161, Iss. 21, pp. 2808-2830
Closed Access | Times Cited: 46
A Genetic Fuzzy Linguistic Combination Method for Fuzzy Rule-Based Multiclassifiers
Krzysztof Trawiński, Óscar Cordón, Luciano Sánchez, et al.
IEEE Transactions on Fuzzy Systems (2013) Vol. 21, Iss. 5, pp. 950-965
Closed Access | Times Cited: 41
A Development of Granular Input Space in System Modeling
Xiubin Zhu, Witold Pedrycz, Zhiwu Li
IEEE Transactions on Cybernetics (2019) Vol. 51, Iss. 3, pp. 1639-1650
Closed Access | Times Cited: 33
RETRACTED ARTICLE: Machine learning ensemble for neurological disorders
Harkawalpreet Kaur, Avleen Malhi, Husanbir Singh Pannu
Neural Computing and Applications (2020) Vol. 32, Iss. 16, pp. 12697-12714
Closed Access | Times Cited: 30
Granular fuzzy models: Analysis, design, and evaluation
Orion F. Reyes-Galaviz, Witold Pedrycz
International Journal of Approximate Reasoning (2015) Vol. 64, pp. 1-19
Open Access | Times Cited: 29
DESIGNING BOOSTING ENSEMBLE OF RELATIONAL FUZZY SYSTEMS
Rafał Scherer
International Journal of Neural Systems (2010) Vol. 20, Iss. 05, pp. 381-388
Closed Access | Times Cited: 33
ON DESIGNING FUZZY RULE-BASED MULTICLASSIFICATION SYSTEMS BY COMBINING FURIA WITH BAGGING AND FEATURE SELECTION
Krzysztof Trawiński, Óscar Cordón, Arnaud Quirin
International Journal of Uncertainty Fuzziness and Knowledge-Based Systems (2011) Vol. 19, Iss. 04, pp. 589-633
Closed Access | Times Cited: 30
A Study on the Use of Multiobjective Genetic Algorithms for Classifier Selection in FURIA-based Fuzzy Multiclassifiers
Krzysztof ski, Óscar Cordón, Arnaud Quirin
International Journal of Computational Intelligence Systems (2012) Vol. 5, Iss. 2, pp. 231-231
Open Access | Times Cited: 28
Fuzzy classifier ensembles for hierarchical WiFi-based semantic indoor localization
Noelia Hernández, José M. Alonso, Manuel Ocaña
Expert Systems with Applications (2017) Vol. 90, pp. 394-404
Closed Access | Times Cited: 24
Granular Aggregation of Fuzzy Rule-Based Models in Distributed Data Environment
Bowen Zhang, Witold Pedrycz, Aminah Robinson Fayek, et al.
IEEE Transactions on Fuzzy Systems (2020) Vol. 29, Iss. 5, pp. 1297-1310
Open Access | Times Cited: 16
Comparing two genetic overproduce-and-choose strategies for fuzzy rule-based multiclassification systems generated by bagging and mutual information-based feature selection
Óscar Cordón, Arnaud Quirin
International Journal of Hybrid Intelligent Systems (2010) Vol. 7, Iss. 1, pp. 45-64
Closed Access | Times Cited: 21
Survey on granularity clustering
Shifei Ding, Mingjing Du, Hong Zhu
Cognitive Neurodynamics (2015) Vol. 9, Iss. 6, pp. 561-572
Open Access | Times Cited: 14
Design of Reinforced Hybrid Fuzzy Rule-Based Neural Networks Driven to Inhomogeneous Neurons and Tournament Selection
Congcong Zhang, Sung‐Kwun Oh, Zunwei Fu, et al.
IEEE Transactions on Fuzzy Systems (2020) Vol. 29, Iss. 11, pp. 3293-3307
Open Access | Times Cited: 14
Design of stabilized polynomial-based ensemble fuzzy neural networks based on heterogeneous neurons and synergy of multiple techniques
Congcong Zhang, Sung‐Kwun Oh, Zunwei Fu
Information Sciences (2020) Vol. 542, pp. 425-452
Closed Access | Times Cited: 9
A first study on bagging fuzzy rule-based classification systems with multicriteria genetic selection of the component classifiers
Óscar Cordón, Arnaud Quirin, Luciano Sánchez
(2008), pp. 11-16
Closed Access | Times Cited: 12
A new approach to radial basis function-based polynomial neural networks: analysis and design
Sung‐Kwun Oh, Ho-Sung Park, Wook-Dong Kim, et al.
Knowledge and Information Systems (2012) Vol. 36, Iss. 1, pp. 121-151
Closed Access | Times Cited: 9
A design of genetically oriented linguistic model with the aid of fuzzy granulation
Keun-Chang Kwak, Witold Pedrycz
(2010) Vol. 157, pp. 1-6
Closed Access | Times Cited: 9
A two-phase method of forming a granular representation of signals
Shuai Liu, Witold Pedrycz, Adam Gacek, et al.
Signal Processing (2017) Vol. 141, pp. 1-15
Closed Access | Times Cited: 8
A Novel Framework to Design Fuzzy Rule-Based Ensembles Using Diversity Induction and Evolutionary Algorithms-Based Classifier Selection and Fusion
Óscar Cordón, Krzysztof Trawiński
Lecture notes in computer science (2013), pp. 36-58
Closed Access | Times Cited: 7
On the Combination of Accuracy and Diversity Measures for Genetic Selection of Bagging Fuzzy Rule-Based Multiclassification Systems
Krzysztof Trawiński, Arnaud Quirin, Óscar Cordón
(2009), pp. 121-127
Closed Access | Times Cited: 8
Self-organized hybrid fuzzy neural networks driven with the aid of probability-based node selection and enhanced input strategy
Congcong Zhang, Sung‐Kwun Oh, Zunwei Fu, et al.
Neurocomputing (2020) Vol. 417, pp. 471-489
Closed Access | Times Cited: 7
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