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:

Deep TSK Fuzzy Classifier With Stacked Generalization and Triplely Concise Interpretability Guarantee for Large Data
Zhou Ta, Fu-Lai Chung, Shitong Wang
IEEE Transactions on Fuzzy Systems (2016) Vol. 25, Iss. 5, pp. 1207-1221
Closed Access | Times Cited: 104

Showing 1-25 of 104 citing articles:

Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to?
Alberto Fernández, Francisco Herrera, Óscar Cordón, et al.
IEEE Computational Intelligence Magazine (2019) Vol. 14, Iss. 1, pp. 69-81
Open Access | Times Cited: 200

Algorithmic bias in machine learning-based marketing models
Shahriar Akter, Yogesh K. Dwivedi, Shahriar Sajib, et al.
Journal of Business Research (2022) Vol. 144, pp. 201-216
Open Access | Times Cited: 103

Mortality prediction in intensive care units (ICUs) using a deep rule-based fuzzy classifier
Raheleh Davoodi, Mohammad Hassan Moradi
Journal of Biomedical Informatics (2018) Vol. 79, pp. 48-59
Closed Access | Times Cited: 89

An Interpretable Dynamic Inference System Based on Fuzzy Broad Learning
Huimin Zhao, Yandong Wu, Wu Deng
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 23

Takagi-Sugeno-Kang fuzzy system fusion: A survey at hierarchical, wide and stacked levels
Yuanpeng Zhang, Guanjin Wang, Zhou Ta, et al.
Information Fusion (2023) Vol. 101, pp. 101977-101977
Open Access | Times Cited: 22

Deep stacked stochastic configuration networks for lifelong learning of non-stationary data streams
Mahardhika Pratama, Dianhui Wang
Information Sciences (2019) Vol. 495, pp. 150-174
Open Access | Times Cited: 63

On the Accuracy–Complexity Tradeoff of Fuzzy Broad Learning System
Shuang Feng, C. L. Philip Chen, Lili Xu, et al.
IEEE Transactions on Fuzzy Systems (2020) Vol. 29, Iss. 10, pp. 2963-2974
Closed Access | Times Cited: 53

A Deep-Ensemble-Level-Based Interpretable Takagi–Sugeno–Kang Fuzzy Classifier for Imbalanced Data
Guanjin Wang, Zhou Ta, Kup‐Sze Choi, et al.
IEEE Transactions on Cybernetics (2020) Vol. 52, Iss. 5, pp. 3805-3818
Closed Access | Times Cited: 52

TSK fuzzy system fusion at sensitivity-ensemble-level for imbalanced data classification
Yuanpeng Zhang, Guanjin Wang, Xiuyu Huang, et al.
Information Fusion (2022) Vol. 92, pp. 350-362
Closed Access | Times Cited: 36

Motor imagery classification via stacking-based Takagi–Sugeno–Kang fuzzy classifier ensemble
Yuanpeng Zhang, Weiping Ding
Knowledge-Based Systems (2023) Vol. 263, pp. 110292-110292
Closed Access | Times Cited: 19

A rule-based deep fuzzy system with nonlinear fuzzy feature transform for data classification
Rui Yin, Xuejun Pan, Liyong Zhang, et al.
Information Sciences (2023) Vol. 633, pp. 431-452
Closed Access | Times Cited: 19

Interpretable Deep Convolutional Fuzzy Classifier
Mojtaba Yeganejou, Scott Dick, James Miller
IEEE Transactions on Fuzzy Systems (2019), pp. 1-1
Closed Access | Times Cited: 53

A Novel Deep Fuzzy Classifier by Stacking Adversarial Interpretable TSK Fuzzy Sub-classifiers with Smooth Gradient Information
Suhang Gu, Fu-Lai Chung, Shitong Wang
IEEE Transactions on Fuzzy Systems (2019), pp. 1-1
Closed Access | Times Cited: 51

An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Non-stationary Data Streams
Mahardhika Pratama, Witold Pedrycz, Geoffrey I. Webb
IEEE Transactions on Fuzzy Systems (2019), pp. 1-1
Open Access | Times Cited: 51

Broad Learning Based Dynamic Fuzzy Inference System With Adaptive Structure and Interpretable Fuzzy Rules
Kaiyuan Bai, Xiaomin Zhu, Shiping Wen, et al.
IEEE Transactions on Fuzzy Systems (2021) Vol. 30, Iss. 8, pp. 3270-3283
Closed Access | Times Cited: 35

Deep Fuzzy Rule-Based Classification System With Improved Wang–Mendel Method
Yuangang Wang, Haoran Liu, Wenjuan Jia, et al.
IEEE Transactions on Fuzzy Systems (2021) Vol. 30, Iss. 8, pp. 2957-2970
Closed Access | Times Cited: 32

Online Deep Fuzzy Learning for Control of Nonlinear Systems Using Expert Knowledge
Andriy Sarabakha, Erdal Kayacan
IEEE Transactions on Fuzzy Systems (2019), pp. 1-1
Closed Access | Times Cited: 39

Stacked Blockwise Combination of Interpretable TSK Fuzzy Classifiers by Negative Correlation Learning
Zhou Ta, Hisao Ishibuchi, Shitong Wang
IEEE Transactions on Fuzzy Systems (2018) Vol. 26, Iss. 6, pp. 3327-3341
Closed Access | Times Cited: 38

Concise Fuzzy System Modeling Integrating Soft Subspace Clustering and Sparse Learning
Peng Xu, Zhaohong Deng, Chen Cui, et al.
IEEE Transactions on Fuzzy Systems (2019) Vol. 27, Iss. 11, pp. 2176-2189
Open Access | Times Cited: 38

Two-Dimensional DOA Estimation via Deep Ensemble Learning
Wenli Zhu, Min Zhang, Pengfei Li, et al.
IEEE Access (2020) Vol. 8, pp. 124544-124552
Open Access | Times Cited: 33

A deep learned type-2 fuzzy neural network: Singular value decomposition approach
Sultan Noman Qasem, Ardashir Mohammadzadeh
Applied Soft Computing (2021) Vol. 105, pp. 107244-107244
Closed Access | Times Cited: 31

A Fully Interpretable First-Order TSK Fuzzy System and Its Training With Negative Entropic and Rule-Stability-Based Regularization
Erhao Zhou, Chi‐Man Vong, Yusuke Nojima, et al.
IEEE Transactions on Fuzzy Systems (2022) Vol. 31, Iss. 7, pp. 2305-2319
Closed Access | Times Cited: 21

A design of fuzzy rule-based classifier optimized through softmax function and information entropy
Xiaoyu Han, Xiubin Zhu, Witold Pedrycz, et al.
Applied Soft Computing (2024) Vol. 156, pp. 111498-111498
Closed Access | Times Cited: 3

Realizing Deep High-Order TSK Fuzzy Classifier by Ensembling Interpretable Zero-Order TSK Fuzzy Subclassifiers
Bin Qin, Yusuke Nojima, Hisao Ishibuchi, et al.
IEEE Transactions on Fuzzy Systems (2020) Vol. 29, Iss. 11, pp. 3441-3455
Closed Access | Times Cited: 31

A wide interpretable Gaussian Takagi–Sugeno–Kang fuzzy classifier and its incremental learning
Runshan Xie, Shitong Wang
Knowledge-Based Systems (2022) Vol. 241, pp. 108203-108203
Closed Access | Times Cited: 17

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