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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:

Long-term prediction of time series using fuzzy cognitive maps
Guoliang Feng, Liyong Zhang, Jianhua Yang, et al.
Engineering Applications of Artificial Intelligence (2021) Vol. 102, pp. 104274-104274
Closed Access | Times Cited: 23

Showing 23 citing articles:

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
Deep attention fuzzy cognitive maps for interpretable multivariate time series prediction
Dunwang Qin, Zhen Peng, Lifeng Wu
Knowledge-Based Systems (2023) Vol. 275, pp. 110700-110700
Closed Access | Times Cited: 25
Long-term prediction of time series based on fuzzy time series and information granulation
Yunzhen Liu, Lidong Wang
Granular Computing (2024) Vol. 9, Iss. 2
Closed Access | Times Cited: 4
Subtractive Clustering-Based Deep Fuzzy System for Time Series Forecasting via Encoding the Long-Term Trend Feature
Yunxia Liu, Songping Meng, Changgeng Zhou, et al.
International Journal of Fuzzy Systems (2025)
Closed Access
The Long-Term Prediction of Time Series: A Granular Computing-Based Design Approach
Cong Ma, Liyong Zhang, Witold Pedrycz, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2022) Vol. 52, Iss. 10, pp. 6326-6338
Closed Access | Times Cited: 19
A Fuzzy Approach to the Synthesis of Cognitive Maps for Modeling Decision Making in Complex Systems
Aslan A. Tatarkanov, Islam A. Alexandrov, Leonid M. Chervjakov, et al.
Emerging Science Journal (2022) Vol. 6, Iss. 2, pp. 368-381
Open Access | Times Cited: 17
Multi-source and multivariate ozone prediction based on fuzzy cognitive maps and evidential reasoning theory
Xiaoqian Liu, Yingjun Zhang, Jingping Wang, et al.
Applied Soft Computing (2022) Vol. 119, pp. 108600-108600
Closed Access | Times Cited: 14
Fast Generation of Heterogeneous Mental Models from Longitudinal Data by Combining Genetic Algorithms and Fuzzy Cognitive Maps
Simon Fuchs, Janik Schnellbach, Lukas Schmidt, et al.
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences (2024)
Open Access | Times Cited: 2
Time-Series Forecasting via Fuzzy-Probabilistic Approach With Evolving Clustering-Based Granulation
Weina Wang, Wanquan Liu, Hui Chen
IEEE Transactions on Fuzzy Systems (2022) Vol. 30, Iss. 12, pp. 5324-5336
Closed Access | Times Cited: 11
Towards improved multifactorial particle swarm optimization learning of fuzzy cognitive maps: A case study on air quality prediction
Weiling Liang, Yingjun Zhang, Xiaoqian Liu, et al.
Applied Soft Computing (2022) Vol. 130, pp. 109708-109708
Closed Access | Times Cited: 11
A Hypersphere Information Granule-Based Fuzzy Classifier Embedded With Fuzzy Cognitive Maps for Classification of Imbalanced Data
Rui Yin, Wei Lu, Jianhua Yang
IEEE Transactions on Emerging Topics in Computational Intelligence (2023) Vol. 8, Iss. 1, pp. 175-190
Closed Access | Times Cited: 5
Convex Optimization Based High-Order Fuzzy Cognitive Map Modeling and Its Application in Time Series Predicting
Dan Shan, Wang Li, Wei Lu, et al.
IEEE Access (2024) Vol. 12, pp. 12683-12698
Open Access | Times Cited: 1
Interpretable predictive modeling of non-stationary long time series
Dunwang Qin, Zhen Peng, Lifeng Wu
Computers & Industrial Engineering (2024) Vol. 194, pp. 110412-110412
Closed Access | Times Cited: 1
New approach for multidimensional prognostic of stochastic time series based on sparse-based fractional Levy quaternion extended Kalman filter
Qing Li
Structural Health Monitoring (2022) Vol. 22, Iss. 4, pp. 2427-2455
Closed Access | Times Cited: 7
Piecewise forecasting of nonlinear time series with model tree dynamic Bayesian networks
David Quesada, Concha Bielza, Pedro Fontán, et al.
International Journal of Intelligent Systems (2022) Vol. 37, Iss. 11, pp. 9108-9137
Closed Access | Times Cited: 5
Learning large-scale fuzzy cognitive maps under limited resources
Kai Wu, Jing Liu
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105376-105376
Closed Access | Times Cited: 5
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
Hesitant Intuitionistic Fuzzy Cognitive Map Based Fuzzy Time Series Forecasting Method
Suraj Prakash Fulara, Shivani Pant, Manish Pant, et al.
Lecture notes in networks and systems (2024), pp. 476-485
Closed Access
Multi-output time series forecasting with randomized multivariate Fuzzy Cognitive Maps
Omid Orang, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães
Chaos Solitons & Fractals (2023) Vol. 176, pp. 114077-114077
Closed Access | Times Cited: 1
A stacked architecture-based fuzzy classifier with data position transformation using fuzzy cognitive maps
Rui Yin, Wei Lu, Jianhua Yang
Journal of Intelligent & Fuzzy Systems (2023) Vol. 46, Iss. 1, pp. 2037-2052
Closed Access
Interval-valued prediction of time series based on fuzzy cognitive maps and granular computing
Tianming Yu, Qianxin Li, Ying Wang, et al.
Neural Computing and Applications (2023) Vol. 36, Iss. 9, pp. 4623-4642
Closed Access
Multivariate time-series modelling and forecasting with high-order dynamic Bayesian networks applied in industrial settings
David Quesada
(2023)
Open Access
Long-term Prediction of Time Series Based on Fuzzy Cognitive Map And Ensemble Learning
Meishu Zhu, Wei Lu, Xiaodong Liu
2022 41st Chinese Control Conference (CCC) (2022), pp. 2459-2464
Closed Access
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