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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:

Financial Time Series Forecasting Using Empirical Mode Decomposition and Support Vector Regression
Noemi Nava, Tiziana Di Matteo, Tomaso Aste
Risks (2018) Vol. 6, Iss. 1, pp. 7-7
Open Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

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
A Survey on Machine Learning for Stock Price Prediction: Algorithms and Techniques
Mehtabhorn Obthong, Nongnuch Tantisantiwong, Watthanasak Jeamwatthanachai, et al.
(2020)
Open Access | Times Cited: 109
A Hybrid Framework Using PCA, EMD and LSTM Methods for Stock Market Price Prediction with Sentiment Analysis
Krittakom Srijiranon, Yoskorn Lertratanakham, Tanatorn Tanantong
Applied Sciences (2022) Vol. 12, Iss. 21, pp. 10823-10823
Open Access | Times Cited: 28
Connectedness of cryptocurrencies and gold returns: Evidence from frequency-dependent quantile regressions
Peterson Owusu, Anokye M. Adam, George Tweneboah
Cogent Economics & Finance (2020) Vol. 8, Iss. 1, pp. 1804037-1804037
Open Access | Times Cited: 46
Major Issues in High-Frequency Financial Data Analysis: A Survey of Solutions
Lu Zhang, Lei Hua
Mathematics (2025) Vol. 13, Iss. 3, pp. 347-347
Open Access
Financial Time Series Forecasting: A Comprehensive Review of Signal Processing and Optimization-Driven Intelligent Models
Matoori Praveen, Satish Dekka, Sai Dai, et al.
Computational Economics (2025)
Closed Access
Flow time series decomposition to identify non-revenue water components in drinking water distribution systems: A data-driven approach
Maria Almeida Silva, Conceição Amado, D. Loureiro
Water Research (2025) Vol. 280, pp. 123442-123442
Open Access
Load forecasting method based on CEEMDAN and TCN-LSTM
Luo Heng, Cheng Hao, Nan Liu
PLoS ONE (2024) Vol. 19, Iss. 7, pp. e0300496-e0300496
Open Access | Times Cited: 3
Analyzing and forecasting poultry meat production and export volumes in Thailand: a time series approach
Kunnanut Klaharn, Rakthai Ngampak, Yupha Chudam, et al.
Cogent Food & Agriculture (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 3
Financial time series analysis and forecasting with Hilbert–Huang transform feature generation and machine learning
Tim Leung, Theodore Zhao
Applied Stochastic Models in Business and Industry (2021) Vol. 37, Iss. 6, pp. 993-1016
Closed Access | Times Cited: 20
RETRACTED ARTICLE: Prediction research of financial time series based on deep learning
Zhaoyi Xu, Jia Zhang, Junyao Wang, et al.
Soft Computing (2020) Vol. 24, Iss. 11, pp. 8295-8312
Closed Access | Times Cited: 21
A Hybrid Model Based on a Two-Layer Decomposition Approach and an Optimized Neural Network for Chaotic Time Series Prediction
Xinghan Xu, Weijie Ren
Symmetry (2019) Vol. 11, Iss. 5, pp. 610-610
Open Access | Times Cited: 20
Improving Stock Price Prediction Using Combining Forecasts Methods
Mohammad Raquibul Hossain, Mohd Tahir Ismail, Samsul Ariffin Abdul Karim
IEEE Access (2021) Vol. 9, pp. 132319-132328
Open Access | Times Cited: 16
On forecasting the intraday Bitcoin price using ensemble of variational mode decomposition and generalized additive model
Samuel Asante Gyamerah
Journal of King Saud University - Computer and Information Sciences (2020) Vol. 34, Iss. 3, pp. 1003-1009
Open Access | Times Cited: 16
Reliability Assessment of Converter- Dominated Power Systems Using Variance-Based Global Sensitivity Analysis
Bowen Zhang, Mengqi Wang, Wencong Su
IEEE Open Access Journal of Power and Energy (2021) Vol. 8, pp. 248-257
Open Access | Times Cited: 15
Package AdvEMDpy: Algorithmic variations of empirical mode decomposition in Python
Cole van Jaarsveldt, Matthew M. Ames, Gareth W. Peters, et al.
Annals of Actuarial Science (2023) Vol. 17, Iss. 3, pp. 606-642
Open Access | Times Cited: 5
A Study Concerning Soft Computing Approaches for Stock Price Forecasting
Chao Shi, Xiaosheng Zhuang
Axioms (2019) Vol. 8, Iss. 4, pp. 116-116
Open Access | Times Cited: 14
Empirical mode decomposition using deep learning model for financial market forecasting
Zebin Jin, Yixiao Jin, Zhiyun Chen
PeerJ Computer Science (2022) Vol. 8, pp. e1076-e1076
Open Access | Times Cited: 8
Novel Approach for Stock Prediction Using Technical Analysis and Sentiment Analysis
Gauravkumarsingh Gaharwar, Sharnil Pandya
Lecture notes in networks and systems (2024), pp. 101-111
Closed Access | Times Cited: 1
Multi-Scale Event Detection in Financial Time Series
Diego Silva de Salles, Cristiane Géa, Carlos E. Mello, et al.
Computational Economics (2024)
Closed Access | Times Cited: 1
Major Issues in High-frequency Financial Data Analysis: A Survey of Solutions
Lu Zhang, Lei Hua
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 1
Forecasting of Day-Ahead Wind Speed/electric Power by Using a Hybrid Machine Learning Algorithm
Atilla Altıntaş, Lars Davidson, Ola Carlson
(2023), pp. 3-11
Closed Access | Times Cited: 4
Linear Versus Nonlinear Methods for Detecting Magnetospheric and Ionospheric Current Systems Patterns
Tommaso Alberti, Fabio Giannattasio, Paola De Michelis, et al.
Earth and Space Science (2020) Vol. 7, Iss. 7
Open Access | Times Cited: 9
TREN PRODUKSI DAN PERDAGANGAN NEGARA-NEGARA PRODUSEN KOPI TERBESAR DI DUNIA DAN IMPLIKASINYA BAGI INDONESIA
Muhammad Ibnu, Novi Rosanti
Buletin Ilmiah Litbang Perdagangan (2022) Vol. 16, Iss. 2
Open Access | Times Cited: 6
A review of artificial intelligence quality in forecasting asset prices
Flávio Barboza, Geraldo Nunes Silva, José Augusto Fiorucci
Journal of Forecasting (2023) Vol. 42, Iss. 7, pp. 1708-1728
Closed Access | Times Cited: 3
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