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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 Daily and Monthly Exchange Rates with Machine Learning Techniques
Vasilios Plakandaras, Théophilos Papadimitriou, Periklis Gogas
Journal of Forecasting (2015) Vol. 34, Iss. 7, pp. 560-573
Closed Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Forecasting carbon price using a multi‐objective least squares support vector machine with mixture kernels
Bangzhu Zhu, Shunxin Ye, Ping Wang, et al.
Journal of Forecasting (2021) Vol. 41, Iss. 1, pp. 100-117
Closed Access | Times Cited: 91
Forecasting mid-price movement of Bitcoin futures using machine learning
Erdinc Akyildirim, Oğuzhan Çepni, Shaen Corbet, et al.
Annals of Operations Research (2021) Vol. 330, Iss. 1-2, pp. 553-584
Open Access | Times Cited: 60
Artificial intelligence applications in finance: a survey
Xuemei Li, Alexander Sigov, Leonid Ratkin, et al.
Journal of Management Analytics (2023) Vol. 10, Iss. 4, pp. 676-692
Closed Access | Times Cited: 25
Fundamentals and exchange rate forecastability with simple machine learning methods
Christophe Amat, Tomasz Michalski, Gilles Stoltz
Journal of International Money and Finance (2018) Vol. 88, pp. 1-24
Open Access | Times Cited: 75
Inflation prediction in emerging economies: Machine learning and FX reserves integration for enhanced forecasting
Nawazish Mirza, Syed Kumail Abbas Rizvi, Bushra Naqvi, et al.
International Review of Financial Analysis (2024) Vol. 94, pp. 103238-103238
Closed Access | Times Cited: 7
GDP nowcasting: A machine learning and remote sensing data-based approach for Bolivia
Osmar Bolivar
Latin American Journal of Central Banking (2024) Vol. 5, Iss. 3, pp. 100126-100126
Open Access | Times Cited: 5
A Clustering-Based Nonlinear Ensemble Approach for Exchange Rates Forecasting
Shaolong Sun, Shouyang Wang, Yunjie Wei, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2018) Vol. 50, Iss. 6, pp. 2284-2292
Closed Access | Times Cited: 58
The role of economic uncertainty in forecasting exchange rate returns and realized volatility: Evidence from quantile predictive regressions
Christina Christou, Rangan Gupta, Christis Hassapis, et al.
Journal of Forecasting (2018) Vol. 37, Iss. 7, pp. 705-719
Open Access | Times Cited: 50
AdaBoost-LSTM Ensemble Learning for Financial Time Series Forecasting
Shaolong Sun, Yunjie Wei, Shouyang Wang
Lecture notes in computer science (2018), pp. 590-597
Closed Access | Times Cited: 50
Modeling and Forecasting Commodity Futures Prices: Decomposition Approach
Emmanuel Antwi, Emmanuel Numapau Gyamfi, Kwabena A. Kyei, et al.
IEEE Access (2022) Vol. 10, pp. 27484-27503
Open Access | Times Cited: 22
A stacked generalization system for automated FOREX portfolio trading
Αναστάσιος Πετρόπουλος, Sotirios Chatzis, Vasileios Siakoulis, et al.
Expert Systems with Applications (2017) Vol. 90, pp. 290-302
Closed Access | Times Cited: 47
A decomposition clustering ensemble learning approach for forecasting foreign exchange rates
Yunjie Wei, Shaolong Sun, Jian Ma, et al.
Journal of Management Science and Engineering (2019) Vol. 4, Iss. 1, pp. 45-54
Open Access | Times Cited: 41
Forecasting nonperforming loans using machine learning
Mohammad Abdullah, Mohammad Ashraful Ferdous Chowdhury, Ajim Uddin, et al.
Journal of Forecasting (2023) Vol. 42, Iss. 7, pp. 1664-1689
Closed Access | Times Cited: 12
Forecasting exchange rates with the iMLP: New empirical insight on one multi-layer perceptron for interval time series (ITS)
Carlos Maté, Lucía Jimeńez
Engineering Applications of Artificial Intelligence (2021) Vol. 104, pp. 104358-104358
Closed Access | Times Cited: 24
How does the economic structure break change the forecast effect of money and credit on output? Evidence based on machine learning algorithms
Yao Lu, Zhihui Zhao, Tian Yuan, et al.
Pacific-Basin Finance Journal (2024) Vol. 84, pp. 102325-102325
Closed Access | Times Cited: 3
The depreciation of the pound post-Brexit: Could it have been predicted?
Vasilios Plakandaras, Rangan Gupta, Mark E. Wohar
Finance research letters (2016) Vol. 21, pp. 206-213
Open Access | Times Cited: 31
A new multiscale decomposition ensemble approach for forecasting exchange rates
Shaolong Sun, Shouyang Wang, Yunjie Wei
Economic Modelling (2018) Vol. 81, pp. 49-58
Closed Access | Times Cited: 30
Data selection to avoid overfitting for foreign exchange intraday trading with machine learning
Yuan-Long Peng, Wei‐Po Lee
Applied Soft Computing (2021) Vol. 108, pp. 107461-107461
Closed Access | Times Cited: 19
Adding double insurance to your investments: Evidence from the exchange rate market
Mingchen Li, Kun Yang, Zishu Cheng, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102416-102416
Closed Access | Times Cited: 2
Exchange rate returns and volatility: the role of time-varying rare disaster risks
Rangan Gupta, Muhammad Tahir Suleman, Mark E. Wohar
European Journal of Finance (2018) Vol. 25, Iss. 2, pp. 190-203
Open Access | Times Cited: 20
Forecasting foreign exchange markets: further evidence using machine learning models
Paravee Maneejuk, Wilawan Srichaikul
Soft Computing (2021) Vol. 25, Iss. 12, pp. 7887-7898
Closed Access | Times Cited: 15
Exchange Rate Forecasting with Advanced Machine Learning Methods
Jonathan Felix Pfahler
Journal of risk and financial management (2021) Vol. 15, Iss. 1, pp. 2-2
Open Access | Times Cited: 14
Intrinsic decompositions in gold forecasting
Vasilios Plakandaras, Qiang Ji
Journal of commodity markets (2022) Vol. 28, pp. 100245-100245
Closed Access | Times Cited: 10
The Bigger Picture: Combining Econometrics with Analytics Improves Forecasts of Movie Success
Steven F. Lehrer, Tian Xie
Management Science (2021) Vol. 68, Iss. 1, pp. 189-210
Closed Access | Times Cited: 13
Determinants of Commodity Futures Prices: Decomposition Approach
Emmanuel Antwi, Emmanuel Numapau Gyamfi, Kwabena A. Kyei, et al.
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-24
Open Access | Times Cited: 12
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