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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 new fuzzy time series forecasting model combined with ant colony optimization and auto-regression
Qisen Cai, Defu Zhang, Wei Zheng, et al.
Knowledge-Based Systems (2014) Vol. 74, pp. 61-68
Closed Access | Times Cited: 164

Showing 1-25 of 164 citing articles:

Fuzzy time series forecasting based on fuzzy logical relationships and similarity measures
Shou-Hsiung Cheng, Shyi‐Ming Chen, Wen-Shan Jian
Information Sciences (2015) Vol. 327, pp. 272-287
Closed Access | Times Cited: 201
Red tide time series forecasting by combining ARIMA and deep belief network
Mengjiao Qin, Zhihang Li, Zhenhong Du
Knowledge-Based Systems (2017) Vol. 125, pp. 39-52
Closed Access | Times Cited: 175
Big Data Driven Marine Environment Information Forecasting: A Time Series Prediction Network
Jiabao Wen, Jiachen Yang, Bin Jiang, et al.
IEEE Transactions on Fuzzy Systems (2020) Vol. 29, Iss. 1, pp. 4-18
Closed Access | Times Cited: 154
Fuzzy time series forecasting based on optimal partitions of intervals and optimal weighting vectors
Shyi‐Ming Chen, Phuong Ha Dang Bui
Knowledge-Based Systems (2016) Vol. 118, pp. 204-216
Closed Access | Times Cited: 128
Fuzzy forecasting based on two-factors second-order fuzzy-trend logical relationship groups, similarity measures and PSO techniques
Shyi‐Ming Chen, Wen-Shan Jian
Information Sciences (2016) Vol. 391-392, pp. 65-79
Closed Access | Times Cited: 122
Automated trading systems statistical and machine learning methods and hardware implementation: a survey
Boming Huang, Yuxiang Huan, Li Da Xu, et al.
Enterprise Information Systems (2018) Vol. 13, Iss. 1, pp. 132-144
Open Access | Times Cited: 122
Fuzzy time series forecasting method based on hesitant fuzzy sets
Kamlesh Bisht, Sanjay Kumar
Expert Systems with Applications (2016) Vol. 64, pp. 557-568
Closed Access | Times Cited: 114
Uncertain time series analysis with imprecise observations
Xiangfeng Yang, Baoding Liu
Fuzzy Optimization and Decision Making (2018) Vol. 18, Iss. 3, pp. 263-278
Closed Access | Times Cited: 110
A novel forecasting method based on multi-order fuzzy time series and technical analysis
Furong Ye, Liming Zhang, Defu Zhang, et al.
Information Sciences (2016) Vol. 367-368, pp. 41-57
Closed Access | Times Cited: 109
Designing fuzzy time series forecasting models: A survey
Mahua Bose, Kalyani Mali
International Journal of Approximate Reasoning (2019) Vol. 111, pp. 78-99
Open Access | Times Cited: 106
Intraday stock price forecasting based on variational mode decomposition
Salim Lahmiri
Journal of Computational Science (2015) Vol. 12, pp. 23-27
Closed Access | Times Cited: 93
Forecasting concentrations of air pollutants using support vector regression improved with particle swarm optimization: Case study in Aburrá Valley, Colombia
J. Murillo-Escobar, Juan Pablo Sepulveda Suescun, Mauricio Correa, et al.
Urban Climate (2019) Vol. 29, pp. 100473-100473
Closed Access | Times Cited: 75
Large-scale water quality prediction with integrated deep neural network
Jing Bi, Yongze Lin, Quanxi Dong, et al.
Information Sciences (2021) Vol. 571, pp. 191-205
Closed Access | Times Cited: 71
ARMA(p,q) type high order fuzzy time series forecast method based on fuzzy logic relations
Cem Koçak
Applied Soft Computing (2017) Vol. 58, pp. 92-103
Closed Access | Times Cited: 71
A study on leading machine learning techniques for high order fuzzy time series forecasting
Sibarama Panigrahi, H. S. Behera
Engineering Applications of Artificial Intelligence (2019) Vol. 87, pp. 103245-103245
Closed Access | Times Cited: 67
Seasonal SVR with FOA algorithm for single-step and multi-step ahead forecasting in monthly inbound tourist flow
Lijuan Wu, Guohua Cao
Knowledge-Based Systems (2016) Vol. 110, pp. 157-166
Closed Access | Times Cited: 66
Vibration trend measurement for a hydropower generator based on optimal variational mode decomposition and an LSSVM improved with chaotic sine cosine algorithm optimization
Wenlong Fu, Kai Wang, Chaoshun Li, et al.
Measurement Science and Technology (2018) Vol. 30, Iss. 1, pp. 015012-015012
Closed Access | Times Cited: 64
Intuitionistic Fuzzy Time Series Forecasting Model Based on Intuitionistic Fuzzy Reasoning
Yanan Wang, Yingjie Lei, Xiaoshi Fan, et al.
Mathematical Problems in Engineering (2016) Vol. 2016, pp. 1-12
Open Access | Times Cited: 62
Fuzzy forecasting based on linear combinations of independent variables, subtractive clustering algorithm and artificial bee colony algorithm
Shouzhen Zeng, Shyi‐Ming Chen, Mario Orlando Teng
Information Sciences (2019) Vol. 484, pp. 350-366
Closed Access | Times Cited: 56
Multi-scale temporal features extraction based graph convolutional network with attention for multivariate time series prediction
Yawen Chen, Fengqian Ding, Linbo Zhai
Expert Systems with Applications (2022) Vol. 200, pp. 117011-117011
Closed Access | Times Cited: 30
Mapping stock market dynamics: A tripartite neural network approach using modified grid search for stock market prediction
Sachin Singh, Mohinder Singh, Shradha Attri
Expert Systems with Applications (2025), pp. 127243-127243
Closed Access
A combined robust fuzzy time series method for prediction of time series
Özge Cağcağ Yolcu, Hak‐Keung Lam
Neurocomputing (2017) Vol. 247, pp. 87-101
Open Access | Times Cited: 59
A novel data partitioning and rule selection technique for modeling high-order fuzzy time series
Mahua Bose, Kalyani Mali
Applied Soft Computing (2017) Vol. 63, pp. 87-96
Closed Access | Times Cited: 54
Prediction of TAIEX based on hybrid fuzzy time series model with single optimization process
Özge Cağcağ Yolcu, Faruk Alpaslan
Applied Soft Computing (2018) Vol. 66, pp. 18-33
Closed Access | Times Cited: 50
Chaotic Type-2 Transient-Fuzzy Deep Neuro-Oscillatory Network (CT2TFDNN) for Worldwide Financial Prediction
Raymond Lee
IEEE Transactions on Fuzzy Systems (2019) Vol. 28, Iss. 4, pp. 731-745
Closed Access | Times Cited: 49
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