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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:

A robust time series prediction method based on empirical mode decomposition and high-order fuzzy cognitive maps
Zongdong Liu, Jing Liu
Knowledge-Based Systems (2020) Vol. 203, pp. 106105-106105
Closed Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

LSTM-SNP: A long short-term memory model inspired from spiking neural P systems
Qian Liu, Lifan Long, Qian Yang, et al.
Knowledge-Based Systems (2021) Vol. 235, pp. 107656-107656
Closed Access | Times Cited: 63
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
Wind power forecasting based on variational mode decomposition and high-order fuzzy cognitive maps
Baihao Qiao, Jing Liu, Peng Wu, et al.
Applied Soft Computing (2022) Vol. 129, pp. 109586-109586
Closed Access | Times Cited: 38
Multi-step-ahead stock price prediction using recurrent fuzzy neural network and variational mode decomposition
Hamid Nasiri, Mohammad Mehdi Ebadzadeh
Applied Soft Computing (2023) Vol. 148, pp. 110867-110867
Open Access | Times Cited: 34
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
Short-term PV power forecasting based on time series expansion and high-order fuzzy cognitive maps
Yurui Xia, Jianzhou Wang, Ziyuan Zhang, et al.
Applied Soft Computing (2023) Vol. 135, pp. 110037-110037
Closed Access | Times Cited: 22
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
A Solar Irradiance Forecasting Framework Based on the CEE-WGAN-LSTM Model
Qianqian Li, Dongping Zhang, Ke Yan
Sensors (2023) Vol. 23, Iss. 5, pp. 2799-2799
Open Access | Times Cited: 17
Equipping high-order fuzzy cognitive map with interpretable weights for multivariate time series forecasting
Chenxi Ouyang, Fusheng Yu, Fei Yang
Applied Soft Computing (2025) Vol. 170, pp. 112724-112724
Closed Access
Robust empirical wavelet fuzzy cognitive map for time series forecasting
Ruobin Gao, Liang Du, Kum Fai Yuen
Engineering Applications of Artificial Intelligence (2020) Vol. 96, pp. 103978-103978
Closed Access | Times Cited: 47
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
Los mapas cognitivos difusos y su aplicación en la investigación de las ciencias sociales: estudio de sus principales problemáticas
Alfonso Infante Moro, Juan C. Infante-Moro, Julia Gallardo-Pérez
Education in the Knowledge Society (EKS) (2021) Vol. 22, pp. e26380-e26380
Open Access | Times Cited: 27
Multi-step-ahead solar output time series prediction with gate recurrent unit neural network using data decomposition and cooperation search algorithm
Zhong-kai Feng, Qingqing Huang, Wen-jing Niu, et al.
Energy (2022) Vol. 261, pp. 125217-125217
Closed Access | Times Cited: 21
A multisource data‐driven combined forecasting model based on internet search keyword screening method for interval soybean futures price
Rui Luo, Jinpei Liu, Piao Wang, et al.
Journal of Forecasting (2023) Vol. 43, Iss. 2, pp. 366-390
Open Access | Times Cited: 11
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
Adaptive denoising algorithm using peak statistics-based thresholding and novel adaptive complementary ensemble empirical mode decomposition
Mengfei Hu, Shuqing Zhang, Wei Dong, et al.
Information Sciences (2021) Vol. 563, pp. 269-289
Closed Access | Times Cited: 23
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
Learning high-order fuzzy cognitive maps via multimodal artificial bee colony algorithm and nearest-better clustering: Applications on multivariate time series prediction
Zhuofan Li, Xiaoqian Liu, Yingjun Zhang, et al.
Knowledge-Based Systems (2024) Vol. 295, pp. 111771-111771
Closed Access | Times Cited: 3
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
Randomized high order fuzzy cognitive maps as reservoir computing models: A first introduction and applications
Omid Orang, Petrônio Cândido de Lima e Silva, Rodrigo Silva, et al.
Neurocomputing (2022) Vol. 512, pp. 153-177
Closed Access | Times Cited: 12
A decomposition-based memetic neural architecture search algorithm for univariate time series forecasting
Yifan Li, Jing Liu, Yingzhi Teng
Applied Soft Computing (2022) Vol. 130, pp. 109714-109714
Closed Access | Times Cited: 12
Probabilistic runoff forecasting considering stepwise decomposition framework and external factor integration structure
Chaojin Cao, Yaoyao He, Siyu Cai
Expert Systems with Applications (2023) Vol. 236, pp. 121350-121350
Closed Access | Times Cited: 6
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
Prediction of retaining structure deformation of ultra-deep foundation pit by empirical mode decomposition with recurrent neural networks
Zaobao Liu, Fengjiao Liu, Yongchen Wang, et al.
Environmental Earth Sciences (2023) Vol. 82, Iss. 23
Closed Access | Times Cited: 5
Training Novel Adaptive Fuzzy Cognitive Map by Knowledge-Guidance Learning Mechanism for Large-Scale Time-Series Forecasting
Yihan Wang, Fusheng Yu, Władysław Homenda, et al.
IEEE Transactions on Cybernetics (2021) Vol. 53, Iss. 7, pp. 4665-4676
Closed Access | Times Cited: 12
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