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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:

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

Showing 1-25 of 46 citing articles:

A Decision-Theoretic Rough Set Approach for Dynamic Data Mining
Hongmei Chen, Tianrui Li, Chuan Luo, et al.
IEEE Transactions on Fuzzy Systems (2015) Vol. 23, Iss. 6, pp. 1958-1970
Closed Access | Times Cited: 160
Cluster-Centric Fuzzy Modeling
Witold Pedrycz, Hesam Izakian
IEEE Transactions on Fuzzy Systems (2014) Vol. 22, Iss. 6, pp. 1585-1597
Closed Access | Times Cited: 100
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
Interval Type-2 Radial Basis Function Neural Network: A Modeling Framework
Adrian Rubio-Solis, George Panoutsos
IEEE Transactions on Fuzzy Systems (2014) Vol. 23, Iss. 2, pp. 457-473
Closed Access | Times Cited: 72
Granular Neural Networks: Concepts and Development Schemes
Mingli Song, Witold Pedrycz
IEEE Transactions on Neural Networks and Learning Systems (2013) Vol. 24, Iss. 4, pp. 542-553
Closed Access | Times Cited: 56
Formal concept analysis based on fuzzy granularity base for different granulations
Xiangping Kang, Deyu Li, Suge Wang, et al.
Fuzzy Sets and Systems (2012) Vol. 203, pp. 33-48
Closed Access | Times Cited: 56
Granular computing neural-fuzzy modelling: A neutrosophic approach
Adrian Rubio Solis, George Panoutsos
Applied Soft Computing (2012) Vol. 13, Iss. 9, pp. 4010-4021
Open Access | Times Cited: 50
Granule description based on formal concept analysis
Huilai Zhi, Jinhai Li
Knowledge-Based Systems (2016) Vol. 104, pp. 62-73
Closed Access | Times Cited: 46
A rapid fuzzy rule clustering method based on granular computing
Xianchang Wang, Xiaodong Liu, Lishi Zhang
Applied Soft Computing (2014) Vol. 24, pp. 534-542
Closed Access | Times Cited: 41
Ensemble of Adaptive Rule-Based Granular Neural Network Classifiers for Multispectral Remote Sensing Images
Saroj K. Meher, D. Arun Kumar
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2015) Vol. 8, Iss. 5, pp. 2222-2231
Closed Access | Times Cited: 25
Probabilistic characterisation of model error using Gaussian mixture model—With application to Charpy impact energy prediction for alloy steel
Yong Yang, Mahdi Mahfouf, George Panoutsos
Control Engineering Practice (2011) Vol. 20, Iss. 1, pp. 82-92
Closed Access | Times Cited: 21
Development of a parsimonious GA–NN ensemble model with a case study for Charpy impact energy prediction
Yong Yang, Mahdi Mahfouf, George Panoutsos
Advances in Engineering Software (2011) Vol. 42, Iss. 7, pp. 435-443
Closed Access | Times Cited: 18
Interpretable Machine Learning: Convolutional Neural Networks with RBF Fuzzy Logic Classification Rules
Zhen Xi, George Panoutsos
(2018), pp. 448-454
Open Access | Times Cited: 16
An Overview of Granular Computing Using Fuzzy Logic Systems
Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro
Studies in computational intelligence (2016), pp. 19-38
Closed Access | Times Cited: 13
Prevention of Thermal Crack in Steel Slab Using Neural Networks Model to Predict Impact Absorption Energy
Kyung-Chul Cho, Gibeom Kim, Sang‐Hum Kwon, et al.
steel research international (2024) Vol. 95, Iss. 6
Closed Access | Times Cited: 1
Fuzzy uncertainty assessment in RBF Neural Networks using neutrosophic sets for multiclass classification
Adrian Rubio-Solis, George Panoutsos
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2014), pp. 1591-1598
Open Access | Times Cited: 11
Surrogate modeling based on an adaptive network and granular computing
Israel Cruz-Vega, Hugo Jair Escalante, Carlos A. Reyes, et al.
Soft Computing (2015) Vol. 20, Iss. 4, pp. 1549-1563
Closed Access | Times Cited: 11
A Shannon entropy-based conflict measure for enhancing granular computing-based information processing
Ali Baraka, George Panoutsos, Mahdi Mahfouf, et al.
2007 IEEE International Conference on Granular Computing (GRC 2007) (2014) Vol. 31, pp. 13-18
Closed Access | Times Cited: 11
Combining granular computing and RBF neural network for process planning of part features
Danchen Zhou, Xuan Dai
The International Journal of Advanced Manufacturing Technology (2015) Vol. 81, Iss. 9-12, pp. 1447-1462
Closed Access | Times Cited: 10
From local neural networks to granular neural networks: A study in information granulation
Mingli Song, Witold Pedrycz
Neurocomputing (2011) Vol. 74, Iss. 18, pp. 3931-3940
Closed Access | Times Cited: 10
Constructing Cognitive Reasoning and Decision Making Under Attribute Granular Computing Using Fuzzy Petri Nets
Ruqi Zhou, Huiyou Chang, Yuepeng Zhou, et al.
IEEE Transactions on Cognitive and Developmental Systems (2022) Vol. 15, Iss. 3, pp. 1170-1182
Closed Access | Times Cited: 6
A granulation analysis method for cutting tool material selection using granular computing
Danchen Zhou, Xuan Dai
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2015) Vol. 230, Iss. 13, pp. 2323-2336
Closed Access | Times Cited: 8
Automatic generation of fuzzy classification rules using granulation-based adaptive clustering
Mohammed Al-Shammaa, Maysam Abbod
(2015), pp. 653-659
Open Access | Times Cited: 7
Long-term learning for type-2 neural-fuzzy systems
Ali Baraka, George Panoutsos
Fuzzy Sets and Systems (2019) Vol. 368, pp. 59-81
Open Access | Times Cited: 7
Granular computing approach for the design of medical data classification systems
Mohammed Al-Shammaa, Maysam Abbod
(2015), pp. 1-7
Open Access | Times Cited: 5
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