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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:

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

Showing 1-25 of 109 citing articles:

Machine learning techniques and data for stock market forecasting: A literature review
Mahinda Mailagaha Kumbure, Christoph Lohrmann, Pasi Luukka, et al.
Expert Systems with Applications (2022) Vol. 197, pp. 116659-116659
Open Access | Times Cited: 301
A review on stability analysis of continuous-time fuzzy-model-based control systems: From membership-function-independent to membership-function-dependent analysis
Hak‐Keung Lam
Engineering Applications of Artificial Intelligence (2017) Vol. 67, pp. 390-408
Open Access | Times Cited: 240
Stock Market Trend Prediction Using High-Order Information of Time Series
Min Wen, Ping Li, Lingfei Zhang, et al.
IEEE Access (2019) Vol. 7, pp. 28299-28308
Open Access | Times Cited: 159
Recurrent ensemble random vector functional link neural network for financial time series forecasting
Aryan Bhambu, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan
Applied Soft Computing (2024) Vol. 161, pp. 111759-111759
Open Access | Times Cited: 22
Hybrid Variational Mode Decomposition and evolutionary robust kernel extreme learning machine for stock price and movement prediction on daily basis
Ranjeeta Bisoi, P.K. Dash, Ajaya Kumar Parida
Applied Soft Computing (2018) Vol. 74, pp. 652-678
Closed Access | Times Cited: 139
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
Forecasting daily stock trend using multi-filter feature selection and deep learning
Anwar Ul Haq, Adnan Zeb, Zhenfeng Lei, et al.
Expert Systems with Applications (2020) Vol. 168, pp. 114444-114444
Closed Access | Times Cited: 124
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
A new procedure in stock market forecasting based on fuzzy random auto-regression time series model
Riswan Efendi, Nureize Arbaiy, Mustafa Mat Deris
Information Sciences (2018) Vol. 441, pp. 113-132
Open Access | Times Cited: 86
CTS-LSTM: LSTM-based neural networks for correlatedtime series prediction
Huaiyu Wan, Shengnan Guo, Kang Yin, et al.
Knowledge-Based Systems (2019) Vol. 191, pp. 105239-105239
Closed Access | Times Cited: 84
FQTSFM: A fuzzy-quantum time series forecasting model
Pritpal Singh
Information Sciences (2021) Vol. 566, pp. 57-79
Closed Access | Times Cited: 59
Stock index forecasting based on multivariate empirical mode decomposition and temporal convolutional networks
Yuan Yao, Zhaoyang Zhang, Yang Zhao
Applied Soft Computing (2023) Vol. 142, pp. 110356-110356
Closed Access | Times Cited: 29
Dealing with seasonality by narrowing the training set in time series forecasting with k NN
Francisco Martínez, María Pilar Frías, María Dolores Pérez-Godoy, et al.
Expert Systems with Applications (2018) Vol. 103, pp. 38-48
Closed Access | Times Cited: 74
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
Financial market prediction under deep learning framework using auto encoder and kernel extreme learning machine
D. K. Mohanty, Ajaya Kumar Parida, Shelly Suman Khuntia
Applied Soft Computing (2020) Vol. 99, pp. 106898-106898
Closed Access | Times Cited: 61
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
A Fuzzy Interval Time-Series Energy and Financial Forecasting Model Using Network-Based Multiple Time-Frequency Spaces and the Induced-Ordered Weighted Averaging Aggregation Operation
Gang Liu, Fuyuan Xiao, Chin‐Teng Lin, et al.
IEEE Transactions on Fuzzy Systems (2020) Vol. 28, Iss. 11, pp. 2677-2690
Open Access | Times Cited: 55
Neural-Based Ensembles for Particulate Matter Forecasting
Paulo S. G. de Mattos Neto, Paulo Renato Alves Firmino, Hugo Valadares Siqueira, et al.
IEEE Access (2021) Vol. 9, pp. 14470-14490
Open Access | Times Cited: 49
Long term and short term forecasting of horticultural produce based on the LSTM network model
Tumpa Banerjee, Shreyashee Sinha, Prasenjit Choudhury
Applied Intelligence (2022) Vol. 52, Iss. 8, pp. 9117-9147
Closed Access | Times Cited: 33
Remaining useful life prediction of lubrication oil by integrating multi-source knowledge and multi-indicator data
Yan Pan, Tonghai Wu, Yunteng Jing, et al.
Mechanical Systems and Signal Processing (2023) Vol. 191, pp. 110174-110174
Closed Access | Times Cited: 16
Aggregating multiple types of complex data in stock market prediction: A model-independent framework
Huiwen Wang, Shan Lu, Jichang Zhao
Knowledge-Based Systems (2018) Vol. 164, pp. 193-204
Closed Access | Times Cited: 58
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
A novel high-order weighted fuzzy time series model and its application in nonlinear time series prediction
Ping Jiang, Qingli Dong, Peizhi Li, et al.
Applied Soft Computing (2017) Vol. 55, pp. 44-62
Closed Access | Times Cited: 49
Hesitant probabilistic fuzzy set based time series forecasting method
Krishna Kumar Gupta, Sanjay Kumar
Granular Computing (2018) Vol. 4, Iss. 4, pp. 739-758
Closed Access | Times Cited: 49
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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