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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 granular neural network: Performance analysis and application to re-granulation
Scott Dick, Andrew F. Tappenden, Curtis Badke, et al.
International Journal of Approximate Reasoning (2013) Vol. 54, Iss. 8, pp. 1149-1167
Open Access | Times Cited: 16

Showing 16 citing articles:

Granular Computing Approach to Two-Way Learning Based on Formal Concept Analysis in Fuzzy Datasets
Weihua Xu, Wentao Li
IEEE Transactions on Cybernetics (2014) Vol. 46, Iss. 2, pp. 366-379
Closed Access | Times Cited: 264
A novel cognitive system model and approach to transformation of information granules
Weihua Xu, Jinzhong Pang, Shuqun Luo
International Journal of Approximate Reasoning (2013) Vol. 55, Iss. 3, pp. 853-866
Open Access | Times Cited: 89
A comparison of parallel large-scale knowledge acquisition using rough set theory on different MapReduce runtime systems
Junbo Zhang, Jian-Syuan Wong, Tianrui Li, et al.
International Journal of Approximate Reasoning (2013) Vol. 55, Iss. 3, pp. 896-907
Open Access | Times Cited: 84
A new approach of optimal scale selection to multi-scale decision tables
Feng Li, Bao Qing Hu
Information Sciences (2016) Vol. 381, pp. 193-208
Closed Access | Times Cited: 83
A study of granular computing in the agenda of growth of artificial neural networks
Mingli Song, Yongbin Wang
Granular Computing (2016) Vol. 1, Iss. 4, pp. 247-257
Open Access | Times Cited: 76
Set-based granular computing: A lattice model
Yuhua Qian, Zhang Hu, Feijiang Li, et al.
International Journal of Approximate Reasoning (2013) Vol. 55, Iss. 3, pp. 834-852
Open Access | Times Cited: 58
Design of hybrid radial basis function neural networks (HRBFNNs) realized with the aid of hybridization of fuzzy clustering method (FCM) and polynomial neural networks (PNNs)
Wei Huang, Sung‐Kwun Oh, Witold Pedrycz
Neural Networks (2014) Vol. 60, pp. 166-181
Closed Access | Times Cited: 48
The construction of attribute (object)-oriented multi-granularity concept lattices
Mingwen Shao, Mengmeng Lv, Ken-Wen Li, et al.
International Journal of Machine Learning and Cybernetics (2019) Vol. 11, Iss. 5, pp. 1017-1032
Closed Access | Times Cited: 32
The synergistic combination of particle swarm optimization and fuzzy sets to design granular classifier
Saber Salehi, Ali Selamat, M. Mashinchi, et al.
Knowledge-Based Systems (2015) Vol. 76, pp. 200-218
Closed Access | Times Cited: 33
Granular Description With Multigranularity for Multidimensional Data: A Cone-Shaped Fuzzy Set-Based Method
Wei Lu, Witold Pedrycz, Jianhua Yang, et al.
IEEE Transactions on Fuzzy Systems (2020) Vol. 29, Iss. 7, pp. 1786-1801
Open Access | Times Cited: 17
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
Knowledge-Based Progressive Granular Neural Networks for Remote Sensing Image Classification
D. Arun Kumar, Saroj K. Meher, K. Padma Kumari
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2017) Vol. 10, Iss. 12, pp. 5201-5212
Closed Access | Times Cited: 13
A new method for constructing granular neural networks based on rule extraction and extreme learning machine
Xinzheng Xu, Guanying Wang, Shifei Ding, et al.
Pattern Recognition Letters (2015) Vol. 67, pp. 138-144
Closed Access | Times Cited: 11
Unified granular neural networks for pattern classification
D. Arun Kumar, Saroj K. Meher, Debananda Kanhar, et al.
Neurocomputing (2016) Vol. 216, pp. 109-125
Closed Access | Times Cited: 10
Adaptive Granular Neural Networks for Remote Sensing Image Classification
D. Arun Kumar, Saroj K. Meher, K. Padma Kumari
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2018) Vol. 11, Iss. 6, pp. 1848-1857
Closed Access | Times Cited: 8
BRCA gene expression level analysis for identification of breast cancer using computer assisted algorithms
J. Sumitha
International Journal of Pharma and Bio Sciences (2018) Vol. 9, Iss. 4
Closed Access | Times Cited: 3
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