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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:

Predicting the Price of Bitcoin Using Machine Learning
Sean Mcnally, Jason T. Roche, Simon Caton
(2018), pp. 339-343
Open Access | Times Cited: 548

Showing 1-25 of 548 citing articles:

Financial time series forecasting with deep learning : A systematic literature review: 2005–2019
Ömer Berat Sezer, Mehmet Ugur Gudelek, Ahmet Murat Özbayoğlu
Applied Soft Computing (2020) Vol. 90, pp. 106181-106181
Open Access | Times Cited: 925
An Empirical Study on Modeling and Prediction of Bitcoin Prices With Bayesian Neural Networks Based on Blockchain Information
Huisu Jang, Jaewook Lee
IEEE Access (2017) Vol. 6, pp. 5427-5437
Open Access | Times Cited: 416
An innovative neural network approach for stock market prediction
Xiongwen Pang, Yanqiang Zhou, Pan Wang, et al.
The Journal of Supercomputing (2018) Vol. 76, Iss. 3, pp. 2098-2118
Closed Access | Times Cited: 404
Deep learning for financial applications : A survey
Ahmet Murat Özbayoğlu, Mehmet Ugur Gudelek, Ömer Berat Sezer
Applied Soft Computing (2020) Vol. 93, pp. 106384-106384
Open Access | Times Cited: 375
Bitcoin price prediction using machine learning: An approach to sample dimension engineering
Zheshi Chen, Chunhong Li, Wenjun Sun
Journal of Computational and Applied Mathematics (2019) Vol. 365, pp. 112395-112395
Open Access | Times Cited: 335
Cryptocurrency trading: a comprehensive survey
Fan Fang, Carmine Ventre, Michail Basios, et al.
Financial Innovation (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 286
Short-term stock market price trend prediction using a comprehensive deep learning system
Jingyi Shen, M. Omair Shafiq
Journal Of Big Data (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 283
A Comparison between ARIMA, LSTM, and GRU for Time Series Forecasting
Peter T. Yamak, Yujian Li, Pius Kwao Gadosey
(2019)
Closed Access | Times Cited: 265
Predicting the direction, maximum, minimum and closing prices of daily Bitcoin exchange rate using machine learning techniques
Dennys Mallqui, Ricardo A. S. Fernandes
Applied Soft Computing (2018) Vol. 75, pp. 596-606
Closed Access | Times Cited: 213
Anticipating Cryptocurrency Prices Using Machine Learning
Laura Alessandretti, Abeer ElBahrawy, Luca Maria Aiello, et al.
Complexity (2018) Vol. 2018, Iss. 1
Open Access | Times Cited: 198
A Novel Cryptocurrency Price Prediction Model Using GRU, LSTM and bi-LSTM Machine Learning Algorithms
Mohammad J. Hamayel, Amani Yousef Owda
AI (2021) Vol. 2, Iss. 4, pp. 477-496
Open Access | Times Cited: 193
A Comparative Study of Bitcoin Price Prediction Using Deep Learning
Suhwan Ji, Jongmin Kim, Hyeonseung Im
Mathematics (2019) Vol. 7, Iss. 10, pp. 898-898
Open Access | Times Cited: 170
Machine learning model for Bitcoin exchange rate prediction using economic and technology determinants
Wei Chen, Huilin Xu, Lifen Jia, et al.
International Journal of Forecasting (2020) Vol. 37, Iss. 1, pp. 28-43
Closed Access | Times Cited: 167
Forecasting and trading cryptocurrencies with machine learning under changing market conditions
Hélder Sebastião, Pedro Godinho
Financial Innovation (2021) Vol. 7, Iss. 1
Open Access | Times Cited: 166
Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach
Mohammed Mudassir, Shada Bennbaia, Devrim Ünal, et al.
Neural Computing and Applications (2020)
Open Access | Times Cited: 147
Short-term bitcoin market prediction via machine learning
Patrick Jaquart, David Dann, Christof Weinhardt
The Journal of Finance and Data Science (2021) Vol. 7, pp. 45-66
Open Access | Times Cited: 123
Review of ML and AutoML Solutions to Forecast Time-Series Data
Ahmad Alsharef, Karan Aggarwal, Sonia Sonia, et al.
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 7, pp. 5297-5311
Open Access | Times Cited: 95
Bitcoin price change and trend prediction through twitter sentiment and data volume
Jacques Vella Critien, Albert Gatt, Joshua Ellul
Financial Innovation (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 72
Deep Learning for Time Series Forecasting: Advances and Open Problems
Angelo Casolaro, Vincenzo Capone, Gennaro Iannuzzo, et al.
Information (2023) Vol. 14, Iss. 11, pp. 598-598
Open Access | Times Cited: 44
A New Forecasting Framework for Bitcoin Price with LSTM
Chih‐Hung Wu, Chih-Chiang Lu, Yu-Feng Ma, et al.
2022 IEEE International Conference on Data Mining Workshops (ICDMW) (2018), pp. 168-175
Closed Access | Times Cited: 151
Machine Learning Models Comparison for Bitcoin Price Prediction
Thearasak Phaladisailoed, Thanisa Numnonda
(2018), pp. 506-511
Closed Access | Times Cited: 139
Toward Characterizing Blockchain-Based Cryptocurrencies for Highly Accurate Predictions
Muhammad Saad, Jinchun Choi, DaeHun Nyang, et al.
IEEE Systems Journal (2019) Vol. 14, Iss. 1, pp. 321-332
Closed Access | Times Cited: 123
Ensemble Deep Learning Models for Forecasting Cryptocurrency Time-Series
Ioannis E. Livieris, Emmanuel Pintelas, Stavros Stavroyiannis, et al.
Algorithms (2020) Vol. 13, Iss. 5, pp. 121-121
Open Access | Times Cited: 113
An approach to predict and forecast the price of constituents and index of cryptocurrency using machine learning
Reaz A. Chowdhury, M. Arifur Rahman, M. Sohel Rahman, et al.
Physica A Statistical Mechanics and its Applications (2020) Vol. 551, pp. 124569-124569
Open Access | Times Cited: 107
Forecasting the price of Bitcoin using deep learning
Mingxi Liu, Guowen Li, Jianping Li, et al.
Finance research letters (2020) Vol. 40, pp. 101755-101755
Closed Access | Times Cited: 104
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