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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 the movements of Bitcoin prices: an application of machine learning algorithms
Hakan Pabuçcu, Serdar Ongan, Ayşe Ongan
Quantitative Finance and Economics (2020) Vol. 4, Iss. 4, pp. 679-692
Open Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

Carbon price forecasting based on CEEMDAN and LSTM
Feite Zhou, Zhehao Huang, Changhong Zhang
Applied Energy (2022) Vol. 311, pp. 118601-118601
Closed Access | Times Cited: 249
Re-examining Bitcoin Volatility: A CAViaR-based Approach
Zhenghui Li, Hao Dong, Christos Floros, et al.
Emerging Markets Finance and Trade (2021) Vol. 58, Iss. 5, pp. 1320-1338
Open Access | Times Cited: 76
Forecasting Bitcoin price direction with random forests: How important are interest rates, inflation, and market volatility?
Syed Abul Basher, Perry Sadorsky
Machine Learning with Applications (2022) Vol. 9, pp. 100355-100355
Open Access | Times Cited: 64
Utilizing Machine Learning to Reassess the Predictability of Bank Stocks
Hera Antonopoulou, Leonidas Theodorakopoulos, Constantinos Halkiopoulos, et al.
Emerging Science Journal (2023) Vol. 7, Iss. 3, pp. 724-732
Open Access | Times Cited: 21
The Effect of Data Types’ on the Performance of Machine Learning Algorithms for Cryptocurrency Prediction
Hulusi Mehmet Tanrikulu, Hakan Pabuçcu
Computational Economics (2025)
Open Access
Is There Any Difference in the Impact of Digital Transformation on the Quantity and Efficiency of Enterprise Technological Innovation? Taking China’s Agricultural Listed Companies as an Example
Haihua Liu, Peng Wang, Zejun Li
Sustainability (2021) Vol. 13, Iss. 23, pp. 12972-12972
Open Access | Times Cited: 33
A new hybrid machine learning model for predicting the bitcoin (BTC-USD) price
Pavan Kumar Nagula, Christos Alexakis
Journal of Behavioral and Experimental Finance (2022) Vol. 36, pp. 100741-100741
Closed Access | Times Cited: 20
Do crude oil, gold and the US dollar contribute to Bitcoin investment decisions? An ANN-DCC-GARCH approach
Yadong Liu, Nathee Naktnasukanjn, Anukul Tamprasirt, et al.
Asian Journal of Economics and Banking (2024) Vol. 8, Iss. 1, pp. 2-18
Open Access | Times Cited: 3
Analyzing the machine Learning methods to predict Bitcoin Pricing
C. Siva Ram Murthy, Bharathi Subrahmanian, K Chaturya.
World Journal of Advanced Research and Reviews (2024) Vol. 21, Iss. 1, pp. 1288-1294
Open Access | Times Cited: 3
Forecasting crude oil price using LSTM neural networks
Kexian Zhang, Min Hong
Data Science in Finance and Economics (2022) Vol. 2, Iss. 3, pp. 163-180
Open Access | Times Cited: 15
Empirical Evaluation of Machine Learning Performance in Forecasting Cryptocurrencies
Lauren Al Hawi, Sally Sharqawi, Qasem Abu Al‐Haija, et al.
Journal of Advances in Information Technology (2023) Vol. 14, Iss. 4, pp. 639-647
Open Access | Times Cited: 8
Carbon trading price forecasting based on parameter optimization VMD and deep network CNN–LSTM model
Meijun Ling, Guangxi Cao
International Journal of Financial Engineering (2024) Vol. 11, Iss. 01
Closed Access | Times Cited: 2
Asymmetric interdependencies between cryptocurrency and commodity markets: the COVID-19 pandemic impact
Francisco Jareño, María de la O González, Pascual Belmonte
Quantitative Finance and Economics (2022) Vol. 6, Iss. 1, pp. 83-112
Open Access | Times Cited: 11
A comparative analysis of recurrent neural network and support vector machine for binary classification of spam short message service
David Odera, Gloria Odiaga
World Journal of Advanced Engineering Technology and Sciences (2023) Vol. 9, Iss. 1, pp. 127-152
Open Access | Times Cited: 6
A high-dimensionality-trait-driven learning paradigm for high dimensional credit classification
Lean Yu, Lihang Yu, Kaitao Yu
Financial Innovation (2021) Vol. 7, Iss. 1
Open Access | Times Cited: 15
Survey of Cryptocurrency Volatility Prediction Literature Using Artificial Neural Networks
Sina E. Charandabi, Kamyar Kamyar
Business and Economic Research (2022) Vol. 12, Iss. 1, pp. 17-17
Open Access | Times Cited: 9
Dissecting the stock to flow model for Bitcoin
Thibaut G. Morillon, Ryan G. Chacon
Studies in Economics and Finance (2022) Vol. 39, Iss. 3, pp. 506-523
Closed Access | Times Cited: 8
Machine Learning Models for Predicting Romanian Farmers’ Purchase of Crop Insurance
Codruța Mare, Daniela Manaţe, Gabriela-Mihaela Mureşan, et al.
Mathematics (2022) Vol. 10, Iss. 19, pp. 3625-3625
Open Access | Times Cited: 8
OCENA SKUTECZNOŚCI PROGNOZOWANIA CEN BITCOINÓW PRZY UŻYCIU TECHNIK UCZENIA MASZYNOWEGO NA DANYCH HISTORYCZNYCH
Mamun Ahmed, Sayma Alam Suha, Fahamida Hossain Mahi, et al.
Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska (2024) Vol. 14, Iss. 2, pp. 101-108
Open Access | Times Cited: 1
Forecasting NFT coin prices using machine learning: Insights into feature significance and portfolio strategies
Irene Henriques, Perry Sadorsky
Global Finance Journal (2023) Vol. 58, pp. 100904-100904
Closed Access | Times Cited: 4
Transaction activity and bitcoin realized volatility
Κωνσταντίνος Γκίλλας, Maria Tantoula, Manolis Tzagarakis
Operations Research Letters (2021) Vol. 49, Iss. 5, pp. 715-719
Closed Access | Times Cited: 9
Forecasting Bitcoin Price Direction With Random Forests: How Important Are Interest Rates, Inflation, and Market Volatility?
Syed Abul Basher, Perry Sadorsky
SSRN Electronic Journal (2022)
Open Access | Times Cited: 6
Forecasting Bitcoin Volatility Using Hybrid GARCH Models with Machine Learning
Mamoona Zahid, Farhat Iqbal, Dimitrios Koutmos
Risks (2022) Vol. 10, Iss. 12, pp. 237-237
Open Access | Times Cited: 6
Comparison of Machine Learning Methods for Cryptocurrency Price Prediction
Atieh Armin, Ali Shiri, Behnam Bahrak
(2022), pp. 1-6
Closed Access | Times Cited: 6
A Prediction Model for Bitcoin Cryptocurrency Prices
Micheal Olaolu Arowolo, Peace Ayegba, Shakirat Ronke Yusuff, et al.
EAI/Springer Innovations in Communication and Computing (2022), pp. 127-146
Closed Access | Times Cited: 4
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