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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 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

Showing 11 citing articles:

RST-BatMiner: A fuzzy rule miner integrating rough set feature selection and Bat optimization for detection of diabetes disease
Ramalingaswamy Cheruku, Damodar Reddy Edla, Venkatanareshbabu Kuppili, et al.
Applied Soft Computing (2017) Vol. 67, pp. 764-780
Closed Access | Times Cited: 68
Rule Extraction from Decision Trees Ensembles: New Algorithms Based on Heuristic Search and Sparse Group Lasso Methods
Morteza Mashayekhi, Robin Gras
International Journal of Information Technology & Decision Making (2016) Vol. 16, Iss. 06, pp. 1707-1727
Closed Access | Times Cited: 55
Fuzzy-Rough Cognitive Networks: Theoretical Analysis and Simpler Models
Leonardo Concepción, Gonzalo Nápoles, Isel Grau, et al.
IEEE Transactions on Cybernetics (2020) Vol. 52, Iss. 5, pp. 2994-3005
Open Access | Times Cited: 22
Granular neural networks: A study of optimizing allocation of information granularity in input space
Mingli Song, Yukai Jing, Witold Pedrycz
Applied Soft Computing (2019) Vol. 77, pp. 67-75
Closed Access | Times Cited: 20
Rough extreme learning machine: A new classification method based on uncertainty measure
Lin Feng, Shuliang Xu, Feilong Wang, et al.
Neurocomputing (2018) Vol. 325, pp. 269-282
Open Access | Times Cited: 18
Decision analytics and machine learning in economic and financial systems
Qifeng Qiao, Peter A. Beling
Environment Systems & Decisions (2016) Vol. 36, Iss. 2, pp. 109-113
Open Access | Times Cited: 10
An efficient feature selection using parallel cuckoo search and naïve Bayes classifier
T. Sai Sujana, N. Madhu Sudana Rao, Raja Sekar Reddy
(2017), pp. 167-172
Closed Access | Times Cited: 10
Granular neural networks: The development of granular input spaces and parameters spaces through a hierarchical allocation of information granularity
Mingli Song, Yukai Jing
Information Sciences (2020) Vol. 517, pp. 148-166
Closed Access | Times Cited: 8
Research on Customer Churn Prediction Method based on Variable Precision Rough set and BP Neural Network
Jing Gong, Jing Ju, Zhe Sun, et al.
(2018)
Open Access | Times Cited: 5
Rough extreme learning machine: a new classification method based on uncertainty measure
Shuliang Xu, Lin Feng, Feilong Wang, et al.
arXiv (Cornell University) (2017)
Open Access | Times Cited: 1
Interpretable Machine Learning from Granular Computing Perspective
Raúl Navarro-Almanza, Juan R. Castro, Mauricio A. Sanchez
Studies in systems, decision and control (2019), pp. 185-197
Closed Access | Times Cited: 1
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