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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:

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

Showing 1-25 of 29 citing articles:

Trend-pattern unlimited fuzzy information granule-based LSTM model for long-term time-series forecasting
Yanan Jiang, Fusheng Yu, Yuqing Tang, et al.
International Journal of Approximate Reasoning (2025), pp. 109381-109381
Closed Access
A Design of Granular Takagi–Sugeno Fuzzy Model Through the Synergy of Fuzzy Subspace Clustering and Optimal Allocation of Information Granularity
Xiubin Zhu, Witold Pedrycz, Zhiwu Li
IEEE Transactions on Fuzzy Systems (2018) Vol. 26, Iss. 5, pp. 2499-2509
Closed Access | Times Cited: 52
Granular Models and Granular Outliers
Xiubin Zhu, Witold Pedrycz, Zhiwu Li
IEEE Transactions on Fuzzy Systems (2018) Vol. 26, Iss. 6, pp. 3835-3846
Closed Access | Times Cited: 46
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
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
Fuzzy C-Means clustering based on dual expression between cluster prototypes and reconstructed data
Liyong Zhang, Wanxie Zhong, Chongquan Zhong, et al.
International Journal of Approximate Reasoning (2017) Vol. 90, pp. 389-410
Open Access | Times Cited: 27
Data reconstruction with information granules: An augmented method of fuzzy clustering
Xingchen Hu, Witold Pedrycz, Guohua Wu, et al.
Applied Soft Computing (2017) Vol. 55, pp. 523-532
Closed Access | Times Cited: 26
From fuzzy rule-based models to their granular generalizations
Xingchen Hu, Witold Pedrycz, Xianmin Wang
Knowledge-Based Systems (2017) Vol. 124, pp. 133-143
Closed Access | Times Cited: 25
Exploring future challenges for big data in the humanitarian domain
David Bell, Mark Lycett, Alaa Marshan, et al.
Journal of Business Research (2020) Vol. 131, pp. 453-468
Open Access | Times Cited: 23
Topological structures of L-fuzzy rough sets and similarity sets of L-fuzzy relations
Chun Yong Wang
International Journal of Approximate Reasoning (2017) Vol. 83, pp. 160-175
Open Access | Times Cited: 22
Granular neural networks: A study of optimizing allocation of information granularity in input space
Mingli Song, Yukai Jing, Witold Pedrycz
Applied Soft Computing (2019) Vol. 77, pp. 67-75
Closed Access | Times Cited: 20
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
Fuzzy information granular structures: A further investigation
Ningxin Xie, Zhaowen Li, Wei-Zhi Wu, et al.
International Journal of Approximate Reasoning (2019) Vol. 114, pp. 127-150
Open Access | Times Cited: 16
Granular Trapezoidal Type-2 Shallow Fuzzy Neural Net-Work
Guoliang Zhao, Fahong Ning
Studies in big data (2024), pp. 93-133
Closed Access | Times Cited: 1
Fuzzy hierarchical network embedding fusing structural and neighbor information
Qun Liu, Hang Shu, Ming Yuan, et al.
Information Sciences (2022) Vol. 603, pp. 130-148
Closed Access | Times Cited: 6
Performance Evaluation of Automobile Fuel Consumption Using a Fuzzy-Based Granular Model with Coverage and Specificity
Chan-Uk Yeom, Keun-Chang Kwak
Symmetry (2019) Vol. 11, Iss. 12, pp. 1480-1480
Open Access | Times Cited: 7
Design of Granular Model: A Method Driven by Hyper-Box Iteration Granulation
Wei Lu, Cong Ma, Witold Pedrycz, et al.
IEEE Transactions on Cybernetics (2021) Vol. 53, Iss. 5, pp. 2899-2913
Closed Access | Times Cited: 6
Developing and Optimizing Context-Specific and Universal Construction Labour Productivity Models
Abraham Assefa Tsehayae
(2015)
Closed Access | Times Cited: 5
Data-driven modeling with fuzzy sets and manifolds
Irina Perfilieva
International Journal of Approximate Reasoning (2022) Vol. 149, pp. 178-191
Closed Access | Times Cited: 4
On the use of Action Units and fuzzy explanatory models for facial expression recognition
E. Morales-Vargas, Carlos A. Reyes-García, Hayde Peregrina‐Barreto
PLoS ONE (2019) Vol. 14, Iss. 10, pp. e0223563-e0223563
Open Access | Times Cited: 5
An expansion of local Granular Models in the design of incremental model
Myung-Won Lee, Keun-Chang Kwak, Witold Pedrycz
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2016), pp. 1664-1670
Closed Access | Times Cited: 3
GrNFS: A granular neuro-fuzzy system for regression in large volume data
Krzysztof Simiński
International Journal of Applied Mathematics and Computer Science (2021) Vol. 31, Iss. 3
Open Access | Times Cited: 4
The Development of Improved Incremental Models Using Local Granular Networks with Error Compensation
Chan-Uk Yeom, Keun-Chang Kwak
Symmetry (2017) Vol. 9, Iss. 11, pp. 266-266
Open Access | Times Cited: 3
A Design for Genetically Oriented Rules-Based Incremental Granular Models and Its Application
Yeong-Hyeon Byeon, Keun-Chang Kwak
Symmetry (2017) Vol. 9, Iss. 12, pp. 324-324
Open Access | Times Cited: 3
Linguistic Models: Optimization With the Use of Conditional Fuzzy C-Means
TaiLong Jing, Witold Pedrycz, Xiubin Zhu, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2023) Vol. 8, Iss. 2, pp. 1136-1141
Closed Access | Times Cited: 1
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