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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:

Knowledge base to fuzzy information granule: A review from the interpretability-accuracy perspective
Md. Manjur Ahmed, Nor Ashidi Mat Isa
Applied Soft Computing (2017) Vol. 54, pp. 121-140
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Synthesis optimization and adsorption modeling of biochar for pollutant removal via machine learning
Wentao Zhang, Ronghua Chen, Jie Li, et al.
Biochar (2023) Vol. 5, Iss. 1
Open Access | Times Cited: 47
Literature Review of the Recent Trends and Applications in Various Fuzzy Rule-Based Systems
Ayush K. Varshney, Vicenç Torra
International Journal of Fuzzy Systems (2023) Vol. 25, Iss. 6, pp. 2163-2186
Open Access | Times Cited: 29
Time-series clustering based on linear fuzzy information granules
Lingzi Duan, Fusheng Yu, Witold Pedrycz, et al.
Applied Soft Computing (2018) Vol. 73, pp. 1053-1067
Closed Access | Times Cited: 63
Logic-oriented fuzzy neural networks: A survey
Majed Alateeq, Witold Pedrycz
Expert Systems with Applications (2024) Vol. 257, pp. 125120-125120
Open Access | Times Cited: 5
Estimating incomplete information in group decision making: A framework of granular computing
Francisco Javier Cabrerizo, Rami Al‐Hmouz, Ali Morfeq, et al.
Applied Soft Computing (2019) Vol. 86, pp. 105930-105930
Closed Access | Times Cited: 52
Granular Fuzzy Rule-Based Modeling With Incomplete Data Representation
Xingchen Hu, Yinghua Shen, Witold Pedrycz, et al.
IEEE Transactions on Cybernetics (2021) Vol. 52, Iss. 7, pp. 6420-6433
Closed Access | Times Cited: 34
On the performance and interpretability of Mamdani and Takagi-Sugeno-Kang based neuro-fuzzy systems for medical diagnosis
Hafsaa Ouifak, Ali Idri
Scientific African (2023) Vol. 20, pp. e01610-e01610
Open Access | Times Cited: 13
Clustering time series under trend-oriented fuzzy information granulation
Xiyang Yang, Fusheng Yu, Witold Pedrycz, et al.
Applied Soft Computing (2023) Vol. 141, pp. 110284-110284
Closed Access | Times Cited: 13
Fuzzy-Based Time Series Forecasting and Modelling: A Bibliometric Analysis
Luís Palomero, Vicente García, J. Salvador Sánchez
Applied Sciences (2022) Vol. 12, Iss. 14, pp. 6894-6894
Open Access | Times Cited: 14
Random ensemble of fuzzy rule-based models
Xingchen Hu, Witold Pedrycz, Xianmin Wang
Knowledge-Based Systems (2019) Vol. 181, pp. 104768-104768
Closed Access | Times Cited: 22
Linear Fuzzy Information-Granule-Based Fuzzy C-Means Algorithm for Clustering Time Series
Zonglin Yang, Shurong Jiang, Fusheng Yu, et al.
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 12, pp. 7622-7634
Closed Access | Times Cited: 13
A Critical Review on Selected Fuzzy Min-Max Neural Networks and Their Significance and Challenges in Pattern Classification
Essam Alhroob, Mohammed Falah Mohammed, Chee Peng Lim, et al.
IEEE Access (2019) Vol. 7, pp. 56129-56146
Open Access | Times Cited: 21
Uncertain Data Modeling Based on Evolving Ellipsoidal Fuzzy Information Granules
Luiz Alberto Queiroz Cordovil Júnior, Pedro Henrique Silva Coutinho, Iury Bessa, et al.
IEEE Transactions on Fuzzy Systems (2019) Vol. 28, Iss. 10, pp. 2427-2436
Closed Access | Times Cited: 19
A robust structure identification method for evolving fuzzy system
Hisham Haider Yusef Sa'ad, Nor Ashidi Mat Isa, Md. Manjur Ahmed, et al.
Expert Systems with Applications (2017) Vol. 93, pp. 267-282
Closed Access | Times Cited: 16
A Design of Granular Classifier Based on Granular Data Descriptors
Xiubin Zhu, Dan Wang, Witold Pedrycz, et al.
IEEE Transactions on Cybernetics (2021) Vol. 53, Iss. 3, pp. 1790-1801
Closed Access | Times Cited: 12
A Development of Hierarchically Structured Granular Models Realized Through Allocation of Information Granularity
Xiubin Zhu, Witold Pedrycz, Zhiwu Li
IEEE Transactions on Fuzzy Systems (2020) Vol. 29, Iss. 12, pp. 3845-3858
Open Access | Times Cited: 11
A Structural Evolving Approach for Fuzzy Systems
Hisham Haider Yusef Sa'ad, Nor Ashidi Mat Isa, Md. Manjur Ahmed
IEEE Transactions on Fuzzy Systems (2019) Vol. 28, Iss. 2, pp. 273-287
Closed Access | Times Cited: 10
A hybrid adaptive granular approach to Takagi–Sugeno–Kang fuzzy rule discovery
Alireza Bemani-N., Mohammad-R. Akbarzadeh-T
Applied Soft Computing (2019) Vol. 81, pp. 105491-105491
Closed Access | Times Cited: 8
Designing of higher order information granules through clustering heterogeneous granular data
Dan Wang, Peng Nie, Xiubin Zhu, et al.
Applied Soft Computing (2021) Vol. 112, pp. 107820-107820
Closed Access | Times Cited: 7
Prototype based granular neuro-fuzzy system for regression task
Krzysztof Simiński
Fuzzy Sets and Systems (2022) Vol. 449, pp. 56-78
Closed Access | Times Cited: 5
A Two-Stage Approach for Constructing Type-2 Information Granules
Xiubin Zhu, Witold Pedrycz, Zhiwu Li
IEEE Transactions on Cybernetics (2020) Vol. 52, Iss. 4, pp. 2214-2224
Closed Access | Times Cited: 7
A Specificity-Based Approach to Semantic Interpretation and Hierarchical Complexity Reduction in Fuzzy Models
Ehsan Adel-Rastkhiz, Mohammad-R. Akbarzadeh-T
IEEE Transactions on Fuzzy Systems (2020) Vol. 29, Iss. 9, pp. 2661-2674
Closed Access | Times Cited: 5
Fuzzy Classification Rules with FRvarPSO Using Various Methods for Obtaining Fuzzy Sets
Patricia Jimbo Santana, Laura Cristina Lanzarini, Aurelio F. Bariviera
Journal of Advances in Information Technology (2020) Vol. 11, Iss. 4, pp. 233-240
Open Access | Times Cited: 5
Optimization of fuzzy classification knowledge bases using improving transformations
Hanna Rakytyanska
Eastern-European Journal of Enterprise Technologies (2017) Vol. 5, Iss. 2 (89), pp. 33-41
Open Access | Times Cited: 4
Analysis on Misclassification in Existing Contraction of Fuzzy Min–Max Models
Essam Alhroob, Mohammed Falah Mohammed, Osama Nayel Al Sayaydeh, et al.
Advances in intelligent systems and computing (2019), pp. 270-278
Closed Access | Times Cited: 4
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