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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:

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 26-50 of 59 citing articles:

Ensemble Interval-Valued Fuzzy Cognitive Maps
Jingping Wang, Qing Guo
IEEE Access (2018) Vol. 6, pp. 38356-38366
Open Access | Times Cited: 15
Is Single Enough? A Joint Spatiotemporal Feature Learning Framework for Multivariate Time Series Prediction
Kaixin Yuan, Kai Wu, Jing Liu
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 4, pp. 4985-4998
Closed Access | Times Cited: 8
A comprehensive framework for designing and learning fuzzy cognitive maps at the granular level
Qimin Zhou, Yingcang Ma, Zhiwei Xing, et al.
Applied Soft Computing (2024) Vol. 158, pp. 111601-111601
Closed Access | Times Cited: 1
Granular cognitive maps: a review
Rafael Falcón, Gonzalo Nápoles, Rafael Bello, et al.
Granular Computing (2018) Vol. 4, Iss. 3, pp. 451-467
Closed Access | Times Cited: 9
Pattern classification with Evolving Long-term Cognitive Networks
Gonzalo Nápoles, Agnieszka Jastrzębska, Yamisleydi Salgueiro
Information Sciences (2020) Vol. 548, pp. 461-478
Open Access | Times Cited: 8
Interval-valued intuitionistic fuzzy cognitive maps for stock index forecasting
Petr Hájek, Ondřej Procházka, Wojciech Froelich
(2018), pp. 1-7
Closed Access | Times Cited: 8
A deep granular network with adaptive unequal-length granulation strategy for long-term time series forecasting and its industrial applications
Qiang Wang, Long Chen, Jun Zhao, et al.
Artificial Intelligence Review (2020) Vol. 53, Iss. 7, pp. 5353-5381
Closed Access | Times Cited: 7
Incremental Granular Model Improvement Using Particle Swarm Optimization
Chan-Uk Yeom, Keun-Chang Kwak
Symmetry (2019) Vol. 11, Iss. 3, pp. 390-390
Open Access | Times Cited: 6
Modeling time series by aggregating multiple fuzzy cognitive maps
Tianming Yu, Qunfeng Gan, Guoliang Feng
PeerJ Computer Science (2021) Vol. 7, pp. e726-e726
Open Access | Times Cited: 6
Landslide Risk Assessment Using Granular Fuzzy Rule-Based Modeling: A Case Study on Earthquake-Triggered Landslides
Bingxin Shi, Ting Zeng, Chuan Tang, et al.
IEEE Access (2021) Vol. 9, pp. 135790-135802
Open Access | Times Cited: 6
Forecasting Social Security Revenues in Jordan Using Fuzzy Cognitive Maps
Ahmad Zyad Alghzawi, Gonzalo Nápoles, George Sammour, et al.
Smart innovation, systems and technologies (2017), pp. 246-254
Closed Access | Times Cited: 5
Modeling of the ship steady turning motion based on multiblocks of fuzzy cognitive maps
Xiaori Gao, Xuejun Pan, Xiaodong Liu, et al.
Applied Ocean Research (2021) Vol. 110, pp. 102604-102604
Closed Access | Times Cited: 5
Influence of the Fuzzy Robust Gamma Rank Correlation, Fuzzy C-Means, and Fuzzy Cognitive Maps to Predict the Z Generation's Acceptance Attitudes Towards Internet Health Information
Dariusz Czerwiński, Magdalena Czerwińska, Paweł Karczmarek, et al.
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2021), pp. 1-6
Closed Access | Times Cited: 5
Switching Control of DC Motor Using Multiple Fuzzy Cognitive Network Models
Georgios D. Karatzinis, Yiannis S. Boutalis, Yannis L. Karnavas
(2018), pp. 384-390
Closed Access | Times Cited: 4
Methodological Aspects on Integrating Fuzzy Systems with Explainable Artificial Intelligence
Vesa A. Niskanen
Learning and analytics in intelligent systems (2024), pp. 415-438
Closed Access
Time Series Prediction Based on LSTM and High-Order Fuzzy Cognitive Map with Attention Mechanism
Yingzhi Teng, Jing Liu, Kai Wu
Neural Processing Letters (2024) Vol. 56, Iss. 5
Open Access
Prediction of Key Parameters of Coal Gasification Process Based on Time Delay Mining Fuzzy Time Cognitive Maps
Congbin Jiang, Dan Wang, Cuiping Gong, et al.
2022 IEEE International Conference on Real-time Computing and Robotics (RCAR) (2021), pp. 189-193
Closed Access | Times Cited: 4
A Sparse Fireworks Algorithm for Gene Regulatory Network Reconstruction based on Fuzzy Cognitive Maps
Yilan Wang, Jing Liu
2022 IEEE Congress on Evolutionary Computation (CEC) (2019), pp. 1188-1194
Closed Access | Times Cited: 3
Hierarchical Clustering of Time Series Based on Linear Information Granules
Hailan Chen, Xuedong Gao, Yifan Guo
Tehnicki vjesnik - Technical Gazette (2019) Vol. 26, Iss. 2
Open Access | Times Cited: 3
Prediction of Boiler Heat-Conducting Oil Temperature Based on Multi-Modality Fuzzy Cognitive Maps
Jiaqing Li, Qi Lang, Yan Fang, et al.
2022 34th Chinese Control and Decision Conference (CCDC) (2023), pp. 2275-2280
Closed Access | Times Cited: 1
The volatility in financial time series based on granule complex network
Liu Xueyi, Chao Luo
International Journal of Modern Physics C (2021) Vol. 32, Iss. 09, pp. 2150116-2150116
Closed Access | Times Cited: 3
ISS-EWATUS Decision Support System - Overview of Achievements
Wojciech Froelich, Ewa Magiera
Smart innovation, systems and technologies (2017), pp. 197-206
Closed Access | Times Cited: 2
Improving temporal predictions through time-series labeling using matrix profile and motifs
Pratik Saha, Pritthijit Nath, Asif Iqbal Middya, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 16, pp. 13169-13185
Closed Access | Times Cited: 2
Synaptic Learning of Long-Term Cognitive Networks with Inputs
Richar Sosa, Alejandro Alfonso, Gonzalo Nápoles, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2019), pp. 1-8
Closed Access | Times Cited: 2
Fuzzy Rule-Based Systems: Design, Analysis, and Applications
Jeremy Kerr-Wilson
(2019)
Closed Access | Times Cited: 2

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