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.

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Showing 1-25 of 61 citing articles:

Multi-strategy multi-objective differential evolutionary algorithm with reinforcement learning
Yupeng Han, Hu Peng, Changrong Mei, et al.
Knowledge-Based Systems (2023) Vol. 277, pp. 110801-110801
Closed Access | Times Cited: 44

Multi-objective evolutionary design of granular rule-based classifiers
Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, et al.
Granular Computing (2015) Vol. 1, Iss. 1, pp. 37-58
Open Access | Times Cited: 98

On the Accuracy–Complexity Tradeoff of Fuzzy Broad Learning System
Shuang Feng, C. L. Philip Chen, Lili Xu, et al.
IEEE Transactions on Fuzzy Systems (2020) Vol. 29, Iss. 10, pp. 2963-2974
Closed Access | Times Cited: 53

Autonomous learning for fuzzy systems: a review
Xiaowei Gu, Jungong Han, Qiang Shen, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 8, pp. 7549-7595
Open Access | Times Cited: 31

A self-adaptive fuzzy learning system for streaming data prediction
Xiaowei Gu, Qiang Shen
Information Sciences (2021) Vol. 579, pp. 623-647
Open Access | Times Cited: 34

Evolutionary Fuzzy Rule-Based Methods for Monotonic Classification
Jesús Alcalá‐Fdez, Rafael Alcalá, Sergio González, et al.
IEEE Transactions on Fuzzy Systems (2017) Vol. 25, Iss. 6, pp. 1376-1390
Closed Access | Times Cited: 43

FRULER: Fuzzy Rule Learning through Evolution for Regression
I. Rodríguez-Fdez, Manuel Mucientes, Alberto Bugarín
Information Sciences (2016) Vol. 354, pp. 1-18
Open Access | Times Cited: 42

A Distributed Fuzzy Associative Classifier for Big Data
Armando Segatori, Alessio Bechini, Pietro Ducange, et al.
IEEE Transactions on Cybernetics (2017) Vol. 48, Iss. 9, pp. 2656-2669
Open Access | Times Cited: 41

A three-stage fuzzy classifier method for Parkinson’s disease diagnosis using dynamic handwriting analysis
Konstantin Sarin, Marina Bardamova, Mikhail Svetlakov, et al.
Decision Analytics Journal (2023) Vol. 8, pp. 100274-100274
Open Access | Times Cited: 11

A novel associative classification model based on a fuzzy frequent pattern mining algorithm
Michela Antonelli, Pietro Ducange, Francesco Marcelloni, et al.
Expert Systems with Applications (2014) Vol. 42, Iss. 4, pp. 2086-2097
Open Access | Times Cited: 38

A distributed approach to multi-objective evolutionary generation of fuzzy rule-based classifiers from big data
Andrea Ferranti, Francesco Marcelloni, Armando Segatori, et al.
Information Sciences (2017) Vol. 415-416, pp. 319-340
Open Access | Times Cited: 36

Evolving Fuzzy logic Systems for creative personalized Socially Assistive Robots
Davide Dell’Anna, Anahita Jamshidnejad
Engineering Applications of Artificial Intelligence (2022) Vol. 114, pp. 105064-105064
Open Access | Times Cited: 18

Knowledge base to fuzzy information granule: A review from the interpretability-accuracy perspective
Md. Manjur Ahmed, Nor Ashidi Mat Isa
Applied Soft Computing (2017) Vol. 54, pp. 121-140
Closed Access | Times Cited: 31

A tuned hybrid intelligent fruit fly optimization algorithm for fuzzy rule generation and classification
Seyed Mohsen Mousavi, Madjid Tavana, Najmeh Alikar, et al.
Neural Computing and Applications (2017) Vol. 31, Iss. 3, pp. 873-885
Closed Access | Times Cited: 26

A Fuzzy Classifier with Feature Selection Based on the Gravitational Search Algorithm
Marina Bardamova, Антон Конев, I. A. Hodashinsky, et al.
Symmetry (2018) Vol. 10, Iss. 11, pp. 609-609
Open Access | Times Cited: 26

GPFIS-CLASS: A Genetic Fuzzy System based on Genetic Programming for classification problems
Adriano Koshiyama, Marley Vellasco, Ricardo Tanscheit
Applied Soft Computing (2015) Vol. 37, pp. 561-571
Closed Access | Times Cited: 24

Forecasting price movements of global financial indexes using complex quantitative financial networks
Nohyoon Seong, Kihwan Nam
Knowledge-Based Systems (2021) Vol. 235, pp. 107608-107608
Closed Access | Times Cited: 18

A Grammar-Guided Genetic Programing Algorithm for Associative Classification in Big Data
Javier Padillo‐Ruiz, José María Luna, Sebastián Ventura
Cognitive Computation (2019) Vol. 11, Iss. 3, pp. 331-346
Closed Access | Times Cited: 21

An overview of recent distributed algorithms for learning fuzzy models in Big Data classification
Pietro Ducange, Michela Fazzolari, Francesco Marcelloni
Journal Of Big Data (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 20

A MapReduce-based fuzzy associative classifier for big data
Pietro Ducange, Francesco Marcelloni, Armando Segatori
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2015)
Open Access | Times Cited: 19

A novel multi-task TSK fuzzy classifier and its enhanced version for labeling-risk-aware multi-task classification
Yizhang Jiang, Zhaohong Deng, Kup‐Sze Choi, et al.
Information Sciences (2016) Vol. 357, pp. 39-60
Open Access | Times Cited: 19

Fuzzy classifier design using harmonic search methods
I. A. Hodashinsky, M. A. Mekh
Programming and Computer Software (2017) Vol. 43, Iss. 1, pp. 37-46
Closed Access | Times Cited: 19

Building a Fuzzy Classifier Based on Whale Optimization Algorithm to Detect Network Intrusions
Nikolay Koryshev, I. A. Hodashinsky, Alexander Shelupanov
Symmetry (2021) Vol. 13, Iss. 7, pp. 1211-1211
Open Access | Times Cited: 14

Surrogate-Assisted Multi-objective Genetic Algorithms for Fuzzy Rule-Based Classification
Harihar Kalia, Satchidananda Dehuri, Ashish Ghosh, et al.
International Journal of Fuzzy Systems (2018) Vol. 20, Iss. 6, pp. 1938-1955
Closed Access | Times Cited: 17

An interpretability improvement for fuzzy rule bases obtained by the iterative rule learning approach
David García, Juan Carlos Valenzuela Gámez, Antonio González, et al.
International Journal of Approximate Reasoning (2015) Vol. 67, pp. 37-58
Open Access | Times Cited: 14

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