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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:

Fuzzy cognitive maps in the modeling of granular time series
Wojciech Froelich, Witold Pedrycz
Knowledge-Based Systems (2016) Vol. 115, pp. 110-122
Closed Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

A review on methods and software for fuzzy cognitive maps
Gerardo Félix Benjamín, Gonzalo Nápoles, Rafael Falcón, et al.
Artificial Intelligence Review (2017) Vol. 52, Iss. 3, pp. 1707-1737
Closed Access | Times Cited: 252
Time-Series Forecasting Based on High-Order Fuzzy Cognitive Maps and Wavelet Transform
Shanchao Yang, Jing Liu
IEEE Transactions on Fuzzy Systems (2018) Vol. 26, Iss. 6, pp. 3391-3402
Closed Access | Times Cited: 114
Learning Fuzzy Cognitive Maps with modified asexual reproduction optimisation algorithm
José L. Salmerón, Taha Mansouri, Mohammad Reza Sadeghi Moghadam, et al.
Knowledge-Based Systems (2018) Vol. 163, pp. 723-735
Closed Access | Times Cited: 100
Time series forecasting using fuzzy cognitive maps: a survey
Omid Orang, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães
Artificial Intelligence Review (2022) Vol. 56, Iss. 8, pp. 7733-7794
Open Access | Times Cited: 46
Time Series Prediction Using Sparse Autoencoder and High-Order Fuzzy Cognitive Maps
Kai Wu, Jing Liu, Penghui Liu, et al.
IEEE Transactions on Fuzzy Systems (2019) Vol. 28, Iss. 12, pp. 3110-3121
Closed Access | Times Cited: 56
Walk-forward empirical wavelet random vector functional link for time series forecasting
Ruobin Gao, Liang Du, Kum Fai Yuen, et al.
Applied Soft Computing (2021) Vol. 108, pp. 107450-107450
Closed Access | Times Cited: 53
The Trend-Fuzzy-Granulation-Based Adaptive Fuzzy Cognitive Map for Long-Term Time Series Forecasting
Yihan Wang, Fusheng Yu, Władysław Homenda, et al.
IEEE Transactions on Fuzzy Systems (2022) Vol. 30, Iss. 12, pp. 5166-5180
Closed Access | Times Cited: 32
Enhancing hourly electricity forecasting using fuzzy cognitive maps with sample entropy
Shoujiang Li, Jianzhou Wang, Hui Zhang, et al.
Energy (2024) Vol. 298, pp. 131429-131429
Closed Access | Times Cited: 5
CNN-FCM: System modeling promotes stability of deep learning in time series prediction
Penghui Liu, Jing Liu, Kai Wu
Knowledge-Based Systems (2020) Vol. 203, pp. 106081-106081
Closed Access | Times Cited: 49
Assessment of workplace accident risks in underground collieries by integrating a multi-goal cause-and-effect analysis method with MCDM sensitivity analysis
Ezzeddin Bakhtavar, Samuel Yousefı
Stochastic Environmental Research and Risk Assessment (2018) Vol. 32, Iss. 12, pp. 3317-3332
Closed Access | Times Cited: 47
Information Granules-Based BP Neural Network for Long-Term Prediction of Time Series
Weina Wang, Wanquan Liu, Hui Chen
IEEE Transactions on Fuzzy Systems (2020) Vol. 29, Iss. 10, pp. 2975-2987
Closed Access | Times Cited: 44
Time series forecasting based on kernel mapping and high-order fuzzy cognitive maps
Kaixin Yuan, Jing Liu, Shanchao Yang, et al.
Knowledge-Based Systems (2020) Vol. 206, pp. 106359-106359
Closed Access | Times Cited: 42
Intuitionistic fuzzy grey cognitive maps for forecasting interval-valued time series
Petr Hájek, Wojciech Froelich, Ondřej Procházka
Neurocomputing (2020) Vol. 400, pp. 173-185
Closed Access | Times Cited: 34
Time series prediction based on high-order intuitionistic fuzzy cognitive maps with variational mode decomposition
Yao Xixi, Fengqian Ding, Chao Luo
Soft Computing (2021) Vol. 26, Iss. 1, pp. 189-201
Closed Access | Times Cited: 24
A Data and Knowledge Collaboration Strategy for Decision-Making on the Amount of Aluminum Fluoride Addition Based on Augmented Fuzzy Cognitive Maps
Weichao Yue, Weihua Gui, Xiaofang Chen, et al.
Engineering (2019) Vol. 5, Iss. 6, pp. 1060-1076
Open Access | Times Cited: 27
Anomaly detection via a combination model in time series data
Yanjun Zhou, Huorong Ren, Zhiwu Li, et al.
Applied Intelligence (2021) Vol. 51, Iss. 7, pp. 4874-4887
Closed Access | Times Cited: 19
Sparse large-scale high-order fuzzy cognitive maps guided by spearman correlation coefficient
X.L. Li, Yingcang Ma, Qimin Zhou, et al.
Applied Soft Computing (2024), pp. 112253-112253
Closed Access | Times Cited: 2
Short-term cognitive networks, flexible reasoning and nonsynaptic learning
Gonzalo Nápoles, Frank Vanhoenshoven, Koen Vanhoof
Neural Networks (2019) Vol. 115, pp. 72-81
Open Access | Times Cited: 20
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
Unveiling the Dynamic Behavior of Fuzzy Cognitive Maps
Leonardo Concepción, Gonzalo Nápoles, Rafael Falcón, et al.
IEEE Transactions on Fuzzy Systems (2020) Vol. 29, Iss. 5, pp. 1252-1261
Closed Access | Times Cited: 18
Measuring public acceptance of climate-friendly technologies based on creativity and cognitive approaches: Practical guidelines for reforming risky energy policies in Iran
Abdolvahhab Fetanat, Gholamreza Shafipour, Seyedeh-Maryam Mohtasebi
Renewable Energy (2018) Vol. 134, pp. 1248-1261
Closed Access | Times Cited: 20
Haze pollution causality mining and prediction based on multi-dimensional time series with PS-FCM
Zhen Peng, Wanquan Liu, Senjian An
Information Sciences (2020) Vol. 523, pp. 307-317
Closed Access | Times Cited: 16
Time-series forecasting based on fuzzy cognitive maps and GRU-autoencoder
Xiaoqian Liu, Yingjun Zhang, Jingping Wang, et al.
Soft Computing (2023)
Closed Access | Times Cited: 5
Motor Fault Detection and Diagnosis Using Fuzzy Cognitive Networks with Functional Weights
Georgios D. Karatzinis, Yiannis S. Boutalis, Yannis L. Karnavas
2022 30th Mediterranean Conference on Control and Automation (MED) (2018), pp. 709-714
Closed Access | Times Cited: 18
Granular computing: An augmented scheme of degranulation through a modified partition matrix
Kaijie Xu, Witold Pedrycz, Zhiwu Li
Fuzzy Sets and Systems (2021) Vol. 440, pp. 131-148
Open Access | Times Cited: 13
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