Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Interval type-3 fuzzy aggregators for ensembles of neural networks in COVID-19 time series prediction
Oscar Castillo, Juan R. Castro, Martha Pulido, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 114, pp. 105110-105110
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Novel hybrid classifier based on fuzzy type-III decision maker and ensemble deep learning model and improved chaos game optimization
Nastaran Mehrabi Hashjin, Mohammad Hussein Amiri, Ardashir Mohammadzadeh, et al.
Cluster Computing (2024) Vol. 27, Iss. 7, pp. 10197-10234
Open Access | Times Cited: 17
Systematic review of MCDM approach applied to the medical case studies of COVID-19: trends, bibliographic analysis, challenges, motivations, recommendations, and future directions
A. H. Alamoodi, B. B. Zaidan, O. S. Albahri, et al.
Complex & Intelligent Systems (2023) Vol. 9, Iss. 4, pp. 4705-4731
Open Access | Times Cited: 29
A fuzzy sustainable model for COVID-19 medical waste supply chain network
Fariba Goodarzian, Peiman Ghasemi, Angappa Gunasekaran, et al.
Fuzzy Optimization and Decision Making (2023) Vol. 23, Iss. 1, pp. 93-127
Open Access | Times Cited: 28
A New Method for the Design of Interval Type-3 Fuzzy Logic Systems With Uncertain Type-2 Non-Singleton Inputs (IT3 NSFLS-2): A Case Study in a Hot Strip Mill
Gerardo Maximiliano Méndez, Ismael López-Juárez, Pascual Noradino Montes Dorantes, et al.
IEEE Access (2023) Vol. 11, pp. 44065-44081
Open Access | Times Cited: 23
A Bibliometric Review of Type-3 Fuzzy Logic Applications
Fevrier Valdez, Oscar Castillo, Patricia Melín
Mathematics (2025) Vol. 13, Iss. 3, pp. 375-375
Open Access | Times Cited: 1
Type-3 fuzzy neural networks for dynamic system control
Rafik Aliyev, Rahib H. Abiyev, Sanan Abizada
Information Sciences (2024), pp. 121454-121454
Closed Access | Times Cited: 6
A novel deep belief network architecture with interval type-2 fuzzy set based uncertain parameters towards enhanced learning
Amit K. Shukla, Pranab K. Muhuri
Fuzzy Sets and Systems (2023) Vol. 477, pp. 108744-108744
Open Access | Times Cited: 13
A Survey on Type-3 Fuzzy Logic Systems and Their Control Applications
Oscar Castillo, Fevrier Valdez, Patricia Melín, et al.
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 8, pp. 1744-1756
Closed Access | Times Cited: 6
A New Type-3 Fuzzy Predictive Approach for Mobile Robots
Guoxin Hua, Fei Wang, Jianhui Zhang, et al.
Mathematics (2022) Vol. 10, Iss. 17, pp. 3186-3186
Open Access | Times Cited: 21
Similarity measures for interval type-3 fuzzy sets
R.A. Aliev, Rahib H. Abiyev, Rafig R. Aliyev, et al.
Information Sciences (2025), pp. 121991-121991
Closed Access
Enhancing intrusion detection using wireless sensor networks: A novel ahp-madm aggregated multiple type 3 fuzzy logic-based k-barriers prediction system
Anirban Tarafdar, Azharuddin Sheikh, Pinki Majumder, et al.
Peer-to-Peer Networking and Applications (2024) Vol. 17, Iss. 3, pp. 1732-1749
Closed Access | Times Cited: 3
An innovative ensemble model based on deep learning for predicting COVID-19 infection
Xiaoying Su, Yanfeng Sun, Liu Hong-xi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8
Small samples noise prediction of train electric traction system fan based on a multiple regression-fuzzy neural network
Tao Li, Xiaoting Wu, Yuyao He, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106781-106781
Closed Access | Times Cited: 8
Quantitative condition assessment method for rotating machinery using fuzzy neural network
Jiantao Lu, Chenyang Zhang, Rongqing Cui, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086112-086112
Closed Access | Times Cited: 3
Aggregation operators of quadripartitioned single-valued neutrosophic Z-numbers with applications to diverse COVID-19 scenarios
Gourangajit Borah, Palash Dutta
Engineering Applications of Artificial Intelligence (2022) Vol. 119, pp. 105748-105748
Closed Access | Times Cited: 14
Hybrid learning-oriented approaches for predicting Covid-19 time series data: A comparative analytical study
Soheila Mehrmolaei, Mohammad Savargiv, Mohammad Reza Keyvanpour
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106754-106754
Closed Access | Times Cited: 7
Spatiotemporal evolution of COVID-19 in Portugal’s Mainland with self-organizing maps
Igor Duarte, Manuel Ribeiro, Maria João Veloso da Costa Ramos Pereira, et al.
International Journal of Health Geographics (2023) Vol. 22, Iss. 1
Open Access | Times Cited: 6
Emergency shelter materials under a complex non-linear diophantine fuzzy decision support system
Maria Shams, Alaa Omran Almagrabi, Saleem Abdullah
Complex & Intelligent Systems (2023) Vol. 9, Iss. 6, pp. 7227-7248
Open Access | Times Cited: 6
Using meta-learning to establish a highly transferable driving speed prediction model from the visual road environment
Bo Yu, Xiangyu Feng, You Kong, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107727-107727
Closed Access | Times Cited: 6
Brief Introduction to Type-3 Fuzzy Rules
Nigar E. Adilova
Lecture notes in networks and systems (2024), pp. 169-175
Closed Access | Times Cited: 1
A deep learning-based approach for predicting COVID-19 diagnosis
Raafat M. Munshi, Mashael Khayyat, Sami Ben Slama, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e28031-e28031
Open Access | Times Cited: 1
An interval type-3 fuzzy PID control system design and its application in solid oxide fuel cells power plant
Shi Zhong
Journal of Intelligent & Fuzzy Systems (2023) Vol. 45, Iss. 6, pp. 11149-11162
Closed Access | Times Cited: 3
The Enhanced Wagner–Hagras OLS–BP Hybrid Algorithm for Training IT3 NSFLS-1 for Temperature Prediction in HSM Processes
Gerardo Maximiliano Méndez, Ismael López-Juárez, María Aracelia Alcorta García, et al.
Mathematics (2023) Vol. 11, Iss. 24, pp. 4933-4933
Open Access | Times Cited: 2
The Enhanced Wagner-Hagras OLS-BP Hybrid Algorithm for Training IT3 NSFLS-1 for Temperature Prediction in HSM Processes
Gerardo Maximiliano Méndez, Ismael López-Juárez, María Aracelia Alcorta García, et al.
(2023)
Open Access | Times Cited: 2
Type-3 Fuzzy Logic in Time Series Prediction
Oscar Castillo, Patricia Melín
SpringerBriefs in applied sciences and technology (2024), pp. 17-28
Closed Access
Page 1 - Next Page

Scroll to top