Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Stacked-Structure-Based Hierarchical Takagi-Sugeno-Kang Fuzzy Classification Through Feature Augmentation
Zhou Ta, Hisao Ishibuchi, Shitong Wang
IEEE Transactions on Emerging Topics in Computational Intelligence (2017) Vol. 1, Iss. 6, pp. 421-436
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

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
Fast Training Algorithms for Deep Convolutional Fuzzy Systems with Application to Stock Index Prediction
Lixin Wang
IEEE Transactions on Fuzzy Systems (2019), pp. 1-1
Open Access | Times Cited: 60
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
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
A bibliometric analysis and cutting-edge overview on fuzzy techniques in Big Data
Amit K. Shukla, Pranab K. Muhuri, Ajith Abraham
Engineering Applications of Artificial Intelligence (2020) Vol. 92, pp. 103625-103625
Closed Access | Times Cited: 45
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
Information orientation-based modular Type-2 fuzzy neural network
Chenxuan Sun, Zheng Liu, Xiaolong Wu, et al.
Information Sciences (2024) Vol. 672, pp. 120716-120716
Closed Access | Times Cited: 2
Aggregation framework for TSK fuzzy and association rules: interpretability improvement on a traffic accidents case
Sandra Nemet, Dragan Kukolj, Gordana Ostojić, et al.
Applied Intelligence (2019) Vol. 49, Iss. 11, pp. 3909-3922
Closed Access | Times Cited: 17
A faster convergence and concise interpretability TSK fuzzy classifier deep-wide-based integrated learning
Zhicheng Wang, Xueqian Pan, Gang Wei, et al.
Applied Soft Computing (2019) Vol. 85, pp. 105825-105825
Closed Access | Times Cited: 16
Fuzzy Deep Forest With Deep Contours Feature for Leaf Cultivar Classification
Wenbo Zheng, Lan Yan, Chao Gou, et al.
IEEE Transactions on Fuzzy Systems (2022) Vol. 30, Iss. 12, pp. 5431-5444
Closed Access | Times Cited: 9
Residual deep fuzzy system with randomized fuzzy modules for accurate time series forecasting
Yunxia Liu, Wei Peng, Haixia Wang, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 17, pp. 9989-10014
Closed Access | Times Cited: 1
Deep Reconciled & Self-Paced TSK Fuzzy System Ensemble for Imbalanced Data Classification: Architecture, Interpretability and Theory.
Yuanpeng Zhang, Guanjin Wang, Zhou Ta, et al.
IEEE Transactions on Fuzzy Systems (2024) Vol. 32, Iss. 11, pp. 6185-6198
Closed Access | Times Cited: 1
Internally and Generatively Decorrelated Ensemble of First-Order Takagi–Sugeno–Kang Fuzzy Regressors With Quintuply Diversity Guarantee
Erhao Zhou, Chi‐Man Vong, Yusuke Nojima, et al.
IEEE Transactions on Fuzzy Systems (2023) Vol. 32, Iss. 3, pp. 1288-1302
Closed Access | Times Cited: 3
Deep Cross-Output Knowledge Transfer Using Stacked-Structure Least-Squares Support Vector Machines
Guanjin Wang, Kup‐Sze Choi, Jeremy Yuen‐Chun Teoh, et al.
IEEE Transactions on Cybernetics (2020) Vol. 52, Iss. 5, pp. 3207-3220
Closed Access | Times Cited: 6
Self-Constructed Deep Fuzzy Neural Network for Traffic Flow Prediction
Jiyao An, Jin Zhao, Qingqin Liu, et al.
Electronics (2023) Vol. 12, Iss. 8, pp. 1885-1885
Open Access | Times Cited: 2
An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Non-stationary Data Streams
Mahardhika Pratama, Witold Pedrycz, Geoffrey I. Webb
arXiv (Cornell University) (2018)
Closed Access | Times Cited: 5
Fuzzy quality evaluation of the information system
V. A. Smirnov, V M Milova, G V Getmanova, et al.
IOP Conference Series Materials Science and Engineering (2020) Vol. 919, Iss. 5, pp. 052027-052027
Closed Access | Times Cited: 5
Augmenting features by relative transformation for small data
Huihui Li, Guihua Wen, Xiping Jia, et al.
Knowledge-Based Systems (2021) Vol. 225, pp. 107121-107121
Closed Access | Times Cited: 5
Information Orientation-Based Modular Type-2 Fuzzy Neural Network
Chenxuan Sun, Zheng Liu, Xiaolong Wu, et al.
(2024)
Closed Access
A two-view deep interpretable TSK fuzzy classifier under mutually teachable classification criterion
Zhou Ta, Guanjin Wang, Kup‐Sze Choi, et al.
Information Sciences (2024) Vol. 665, pp. 120388-120388
Closed Access
An Interpretable Deep-Stacked TSK Fuzzy Classifier for High-Dimensional Problems
Shitong Wang, Erhao Zhou, Yuchen Li
International Journal of Information Technologies and Systems Approach (2024) Vol. 17, Iss. 1, pp. 1-20
Open Access
A Deep Neuro-Fuzzy Network for Image Classification.
Omolbanin Yazdanbakhsh, Scott Dick
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 3
Improved Training of GMM-Based TSK Fuzzy System from Stability Perspective
Erhao Zhou, Guanjin Wang, Shitong Wang
2021 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) (2023), pp. 62-70
Closed Access | Times Cited: 1
Meta-baseline based on deep neuro-fuzzy network for few-shot plant leaf fungal diseases recognition
Xiangyan Meng, Xiaole Tian, Qiufeng Wu, et al.
The Imaging Science Journal (2022) Vol. 70, Iss. 3, pp. 168-180
Closed Access | Times Cited: 1
Page 1 - Next Page

Scroll to top