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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:

Forecasting in non-stationary environments with fuzzy time series
Petrônio Cândido de Lima e Silva, Carlos Alberto Severiano, Marcos Antônio Alves, et al.
Applied Soft Computing (2020) Vol. 97, pp. 106825-106825
Open Access | Times Cited: 38

Showing 1-25 of 38 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
Fuzzy Machine Learning: A Comprehensive Framework and Systematic Review
Jie Lü, Guangzhi Ma, Guangquan Zhang
IEEE Transactions on Fuzzy Systems (2024) Vol. 32, Iss. 7, pp. 3861-3878
Open Access | Times Cited: 8
Predictive intelligence using ANFIS‐induced OWAWA for complex stock market prediction
Walayat Hussain, José M. Merigó, Muhammad Raheel Raza
International Journal of Intelligent Systems (2021) Vol. 37, Iss. 8, pp. 4586-4611
Open Access | Times Cited: 42
Novel hybrid multi-head self-attention and multifractal algorithm for non-stationary time series prediction
Xiang Yu, DONGMEI ZHANG, Tianqing Zhu, et al.
Information Sciences (2022) Vol. 613, pp. 541-555
Closed Access | Times Cited: 34
High return and low risk: Shaping composite financial investment decision in the new energy stock market
Qing Zhu, Xiaobo Zhou, Shan Liu
Energy Economics (2023) Vol. 122, pp. 106683-106683
Closed Access | Times Cited: 15
Enhancing Prediction Accuracy with an Innovative Hybrid Fuzzy Time Series Framework
Abhijit Gogoi, Bhogeswar Borah
SN Computer Science (2025) Vol. 6, Iss. 2
Closed Access
Adaptive Non-Stationary Fuzzy Time Series Forecasting with Bayesian Networks
Bo Wang, Xiaodong Liu
Sensors (2025) Vol. 25, Iss. 5, pp. 1628-1628
Open Access
Deep-Learning-Based Analysis of Electronic Skin Sensing Data
Yu-Chen Guo, Xidi Sun, Lulu Li, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1615-1615
Open Access
Analysis of the Forecast Price as a Factor of Sustainable Development of Agriculture
Maksim Tatarintsev, Sergey Korchagin, Petr Nikitin, et al.
Agronomy (2021) Vol. 11, Iss. 6, pp. 1235-1235
Open Access | Times Cited: 25
Fuzzy Time Series Methods Applied to (In)Direct Short-Term Photovoltaic Power Forecasting
Vanessa María Serrano Ardila, Joylan Nunes Maciel, Jorge Javier Giménez Ledesma, et al.
Energies (2022) Vol. 15, Iss. 3, pp. 845-845
Open Access | Times Cited: 18
SA-LSTMs: A new advance prediction method of energy consumption in cement raw materials grinding system
Gang Liu, Kun Wang, Xiaochen Hao, et al.
Energy (2021) Vol. 241, pp. 122768-122768
Closed Access | Times Cited: 20
Making the whole greater than the sum of its parts: A literature review of ensemble methods for financial time series forecasting
Pedro Henrique Melo Albuquerque, Yaohao Peng, João Pedro Fontoura da Silva
Journal of Forecasting (2022) Vol. 41, Iss. 8, pp. 1701-1724
Closed Access | Times Cited: 13
A Tutorial on Fuzzy Time Series Forecasting Models: Recent Advances and Challenges
Patrícia de Oliveira e Lucas, Omid Orang, Petrônio Cândido de Lima e Silva, et al.
Learning and Nonlinear Models (2022) Vol. 19, Iss. 2, pp. 29-50
Open Access | Times Cited: 11
Very short-term solar ultraviolet-A radiation forecasting system with cloud cover images and a Bayesian optimized interpretable artificial intelligence model
Salvin S. Prasad, Ravinesh C. Deo, Nathan Downs, et al.
Expert Systems with Applications (2023) Vol. 236, pp. 121273-121273
Closed Access | Times Cited: 6
DWE-IL: a new incremental learning algorithm for non-stationary time series prediction via dynamically weighting ensemble learning
Huihui Yu, Qun Dai
Applied Intelligence (2021) Vol. 52, Iss. 1, pp. 174-194
Closed Access | Times Cited: 15
An embedding-based non-stationary fuzzy time series method for multiple output high-dimensional multivariate time series forecasting in IoT applications
Hugo Vinicius Bitencourt, Omid Orang, Luiz Augusto Facury de Souza, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 13, pp. 9407-9420
Closed Access | Times Cited: 8
Decomposed intrinsic mode functions and deep learning algorithms for water quality index forecasting
Kok Poh Wai, Chai Hoon Koo, Yuk Feng Huang, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 21, pp. 13223-13242
Closed Access | Times Cited: 1
Res-BiLSTMs model based on multi-task attention for real-time measurement of the free calcium oxide content
Yantao Zhao, Yao Wang, Shanshan Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 095107-095107
Open Access | Times Cited: 1
Prediction of stock prices with automated reinforced learning algorithms
Said Yasin, Adrian Paschke, Jamal Al Qundus
Expert Systems (2024)
Open Access | Times Cited: 1
A novel fuzzy time series model based on improved sparrow search algorithm and CEEMDAN
Sidong Xian, Hualiang Lei, Kaiyuan Chen, et al.
Applied Intelligence (2022) Vol. 53, Iss. 9, pp. 11300-11327
Closed Access | Times Cited: 7
The Systematic Risk at the Crisis—A Multifractal Non-Uniform Wavelet Systematic Risk Estimation
Mounir Sarraj, Anouar Ben Mabrouk
Fractal and Fractional (2021) Vol. 5, Iss. 4, pp. 135-135
Open Access | Times Cited: 9
Intuitionistic fuzzy set-based time series forecasting model via delegeration of hesitancy degree to the major grade de-i-fuzzification and arithmetic rules based on centroid defuzzification
Nik Muhammad Farhan Hakim Nik Badrul Alam, Nazirah Ramli, Ainun Hafizah Mohd
Journal of Physics Conference Series (2021) Vol. 1988, Iss. 1, pp. 012014-012014
Open Access | Times Cited: 8
High-dimensional Multivariate Time Series Forecasting in IoT Applications using Embedding Non-stationary Fuzzy Time Series
Hugo Vinicius Bitencourt, Frederico Gadelha Guimarães
(2021) Vol. 2, pp. 1-6
Open Access | Times Cited: 7
A C4.5 Fuzzy Decision Tree Method for Multivariate Time Series Forecasting
Rafael R. C. Silva, Walmir M. Caminhas, Petrônio Cândido de Lima e Silva, et al.
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2021), pp. 1-6
Closed Access | Times Cited: 6
Fuzzy Time Series Forecasting Model Based on Intuitionistic Fuzzy Sets via Delegation of Hesitancy Degree to the Major Grade De-i-fuzzification Method
Nik Muhammad Farhan Hakim Nik Badrul Alam, Nazirah Ramli, Norhuda Mohammed
Mathematics and Statistics (2021) Vol. 9, Iss. 1, pp. 46-53
Open Access | Times Cited: 5
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