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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:

Rough-fuzzy mlp: modular evolution, rule generation, and evaluation
Sankar K. Pal, Sushmita Mitra, Pabitra Mitra
IEEE Transactions on Knowledge and Data Engineering (2003) Vol. 15, Iss. 1, pp. 14-25
Closed Access | Times Cited: 113

Showing 26-50 of 113 citing articles:

Innovations in Applied Artificial Intelligence
Brent Ferguson, Ranadhir Ghosh, John Yearwood
Lecture notes in computer science (2004)
Open Access | Times Cited: 25
Interval-valued analysis for discriminative gene selection and tissue sample classification using microarray data
Yunsong Qi, Xibei Yang
Genomics (2012) Vol. 101, Iss. 1, pp. 38-48
Open Access | Times Cited: 16
Equivalent Characterizations of Some Graph Problems by Covering-Based Rough Sets
Shiping Wang, Qingxin Zhu, William Zhu, et al.
Journal of Applied Mathematics (2013) Vol. 2013, pp. 1-7
Open Access | Times Cited: 15
Knowledge Discovery and Data Mining
Sanghamitra Bandyopadhyay, Ujjwal Maulik
Springer eBooks (2006), pp. 3-42
Closed Access | Times Cited: 22
Rule Generation Based on Novel Kernel Intuitionistic Fuzzy Rough Set Model
Kuo-Ping Lin, Kuo-Chen Hung, Ching-Lin Lin
IEEE Access (2018) Vol. 6, pp. 11953-11958
Open Access | Times Cited: 14
RS-HeRR: a rough set-based Hebbian rule reduction neuro-fuzzy system
Feng Liu, Arif Ahmed Sekh, Chai Quek, et al.
Neural Computing and Applications (2020) Vol. 33, Iss. 4, pp. 1123-1137
Open Access | Times Cited: 12
Adaptive Neuro-Fuzzy Systems
Larbi Esmahi, Kristian Williamson, Elarbi Badidi
IGI Global eBooks (2009), pp. 31-36
Closed Access | Times Cited: 14
Rough Set Characterization for 2-circuit Matroid
Shiping Wang, Qingxin Zhu, William Zhu, et al.
Fundamenta Informaticae (2014) Vol. 129, Iss. 4, pp. 377-393
Closed Access | Times Cited: 11
Optical Character Recognition Systems for Hindi Language
Arindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, et al.
Studies in fuzziness and soft computing (2016), pp. 193-216
Closed Access | Times Cited: 10
Interpolating support information granules
Bruno Apolloni, Simone Bassis, Dario Malchiodi, et al.
Neurocomputing (2008) Vol. 71, Iss. 13-15, pp. 2433-2445
Closed Access | Times Cited: 14
The application of fuzzy neural networks in stock price forecasting based On Genetic Algorithm discovering fuzzy rules
Kongyu Yang, Min Wu, Lin Jihui
(2012), pp. 470-474
Closed Access | Times Cited: 10
Applications of Matrices to a Matroidal Structure of Rough Sets
Jingqian Wang, William Zhu
Journal of Applied Mathematics (2013) Vol. 2013, pp. 1-9
Open Access | Times Cited: 10
Conditions for coverings to induce matroids
Jingqian Wang, William Zhu, Fei‐Yue Wang, et al.
International Journal of Machine Learning and Cybernetics (2014) Vol. 5, Iss. 6, pp. 947-954
Closed Access | Times Cited: 10
Line-Crawling Robot Navigation: A Rough Neurocomputing Approach
James F. Peters, Tae-Chon Ahn, Maciej Borkowski, et al.
Studies in fuzziness and soft computing (2003), pp. 141-163
Closed Access | Times Cited: 18
A framework of adaptive T-S type Rough-Fuzzy Inference Systems (ARFIS)
ChangSu Lee, Anthony Zaknich, Thomas Bräunl
(2008) Vol. 3518, pp. 567-574
Closed Access | Times Cited: 12
Granular Mining and Rough-Fuzzy Pattern Recognition: A Way to Natural Computation
Sankar K. Pal
(2012) Vol. 13, pp. 3-13
Closed Access | Times Cited: 9
Soft Computing Techniques for Optical Character Recognition Systems
Arindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, et al.
Studies in fuzziness and soft computing (2016), pp. 43-83
Closed Access | Times Cited: 8
Neurofuzzy classification and rule generation of modes of radiowave propagation
Suvra Jyoti Choudhury, Sushmita Mitra, Sankar K. Pal
IEEE Transactions on Antennas and Propagation (2003) Vol. 51, Iss. 4, pp. 862-871
Closed Access | Times Cited: 14
Techniques for the Fusion of Symbolic Rules in Distributed Organic Systems
Oliver Buchtala, Bernhard Sick
(2006), pp. 85-90
Closed Access | Times Cited: 10
Rough Rule Extracting From Various Conditions: Incremental and Approximate Approaches for Inconsistent Data
Yong Liu, Congfu Xu, Qiong Zhang, et al.
Fundamenta Informaticae (2008) Vol. 84, Iss. 3-4, pp. 403-427
Closed Access | Times Cited: 9
Application of neural networks and genetic algorithms to the screening for high quality chips
Chenn‐Jung Huang, You-Jia Chen, Chi-Feng Wu, et al.
Applied Soft Computing (2008) Vol. 9, Iss. 2, pp. 824-832
Closed Access | Times Cited: 8
Optical Character Recognition Systems for English Language
Arindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, et al.
Studies in fuzziness and soft computing (2016), pp. 85-107
Closed Access | Times Cited: 6
An Adaptive T-S type Rough-Fuzzy Inference System (ARFIS) for Pattern Classification
ChangSu Lee, Anthony Zaknick, Thomas Bräunl
(2007) Vol. 31, pp. 117-122
Closed Access | Times Cited: 7
Remote sensing images classification using fuzzy-rough neural network
Jianxu Mao, Caiping Liu, Wang Yao-nan
(2010), pp. 761-765
Closed Access | Times Cited: 5
Towards automation of knowledge understanding: An approach for probabilistic generative classifiers
Dominik Fisch, Christian Gruhl, Edgar Kalkowski, et al.
Information Sciences (2016) Vol. 370-371, pp. 476-496
Open Access | Times Cited: 4

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