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:

Deep Learning Methods for Modeling Bitcoin Price
Prosper Lamothe-Fernández, David Alaminos, Prosper Lamothe-López, et al.
Mathematics (2020) Vol. 8, Iss. 8, pp. 1245-1245
Open Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Analysis of Bitcoin Price Prediction Using Machine Learning
Junwei Chen
Journal of risk and financial management (2023) Vol. 16, Iss. 1, pp. 51-51
Open Access | Times Cited: 76

The asymmetric contagion effect between stock market and cryptocurrency market
Hao Wang, Xiaoqian Wang, Siyuan Yin, et al.
Finance research letters (2021) Vol. 46, pp. 102345-102345
Closed Access | Times Cited: 66

Past, present, and future of the application of machine learning in cryptocurrency research
Yi‐Shuai Ren, Chaoqun Ma, Xiaolin Kong, et al.
Research in International Business and Finance (2022) Vol. 63, pp. 101799-101799
Open Access | Times Cited: 46

RETRACTED ARTICLE: Evaluating and forecasting the risks of small to medium-sized enterprises in the supply chain finance market using blockchain technology and deep learning model
Chenlu Dang, Fan Wang, Zimo Yang, et al.
Operations Management Research (2022) Vol. 15, Iss. 3-4, pp. 662-675
Closed Access | Times Cited: 45

MLP-based Learnable Window Size for Bitcoin price prediction
Shahab Rajabi, Pardis Roozkhosh, Nasser Motahari Farimani
Applied Soft Computing (2022) Vol. 129, pp. 109584-109584
Closed Access | Times Cited: 41

Digital financial asset price fluctuation forecasting in digital economy era using blockchain information: A reconstructed dynamic-bound Levenberg–Marquardt neural-network approach
Dawei Shang, Zhiqi Yan, Lei Zhang, et al.
Expert Systems with Applications (2023) Vol. 228, pp. 120329-120329
Closed Access | Times Cited: 29

Bubbles in Bitcoin and Ethereum: The role of halving in the formation of super cycles
Gilles Brice M’bakob
Sustainable Futures (2024) Vol. 7, pp. 100178-100178
Open Access | Times Cited: 10

Modeling Bitcoin Prices using Signal Processing Methods, Bayesian Optimization, and Deep Neural Networks
Bhaskar Tripathi, Rakesh Kumar Sharma
Computational Economics (2022) Vol. 62, Iss. 4, pp. 1919-1945
Open Access | Times Cited: 36

Interlinkages of cryptocurrency and stock markets during COVID-19 pandemic by applying a TVP-VAR extended joint connected approach
Lê Thanh Hà
Journal of Economic Studies (2022) Vol. 50, Iss. 3, pp. 407-428
Closed Access | Times Cited: 36

IS BITCOIN TIED TO BRICS MARKETS? A DEEP DIVE INTO COINTEGRATION AND WAVELET COHERENCE
J Emmanuval, S J Praseedha, Sajeeve V P
(2025) Vol. 56, Iss. 02, pp. 56-72
Closed Access

Predictions of bitcoin prices through machine learning based frameworks
Luisanna Cocco, Roberto Tonelli, Michele Marchesi
PeerJ Computer Science (2021) Vol. 7, pp. e413-e413
Open Access | Times Cited: 31

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

On Forecasting Realized Volatility for Bitcoin Based on Deep Learning PSO–GRU Model
Xiaolong Tang, Yuping Song, Xingrui Jiao, et al.
Computational Economics (2023) Vol. 63, Iss. 5, pp. 2011-2033
Closed Access | Times Cited: 12

Financial Performance Analysis in European Football Clubs
David Alaminos, Ignacio Esteban, Manuel Á. Fernández-Gámez
Entropy (2020) Vol. 22, Iss. 9, pp. 1056-1056
Open Access | Times Cited: 26

Mathematical Modeling for Financial Analysis of an Enterprise: Motivating of Not Open Innovation
Alex Borodin, Irina Mityushina, Е. Д. Стрельцова, et al.
Journal of Open Innovation Technology Market and Complexity (2021) Vol. 7, Iss. 1, pp. 79-79
Open Access | Times Cited: 19

Estimating and forecasting bitcoin daily prices using ARIMA-GARCH models
Quang Phung Duy, Oanh Nguyen Thi, Phuong Hao Le Thi, et al.
Business Analyst Journal (2024) Vol. 45, Iss. 1, pp. 11-23
Closed Access | Times Cited: 2

Incorporating financial news for forecasting Bitcoin prices based on long short-term memory networks
Johannes Jakubik, Abdolreza Nazemi, Andreas Geyer-Schulz, et al.
Quantitative Finance (2022) Vol. 23, Iss. 2, pp. 335-349
Closed Access | Times Cited: 12

A Machine Learning Approach for Bitcoin Forecasting
Stefano Sossi-Rojas, Gissel Velarde, Damian Zięba
(2023) Vol. 3, pp. 27-27
Open Access | Times Cited: 6

A systematic literature review on the determinants of cryptocurrency pricing
sanshao peng, Catherine Prentice, Syed Shams, et al.
China Accounting and Finance Review (2023) Vol. 26, Iss. 1, pp. 1-30
Open Access | Times Cited: 6

PrismatoidPatNet54: An Accurate ECG Signal Classification Model Using Prismatoid Pattern-Based Learning Architecture
Mehmet Ali Kobat, Özkan Karaca, Prabal Datta Barua, et al.
Symmetry (2021) Vol. 13, Iss. 10, pp. 1914-1914
Open Access | Times Cited: 15

Cryptocurrency Financial Risk Analysis Based on Deep Machine Learning
Si Chen
Complexity (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 10

Artificial Intelligence Methods: Toward a New Decision Making Tool
Ismail Lotfi, Abdelhamid El Bouhadi
Applied Artificial Intelligence (2021) Vol. 36, Iss. 1
Open Access | Times Cited: 11

Interlinkages of cryptocurrency and stock markets during the COVID-19 pandemic by applying a QVAR model
Nguyen Hong Yen, Lê Thanh Hà
European Journal of Management and Business Economics (2023) Vol. 33, Iss. 1, pp. 74-95
Open Access | Times Cited: 4

A comparative analysis of Silverkite and inter-dependent deep learning models for bitcoin price prediction
Nrusingha Tripathy, Subrat Kumar Nayak, Sashikanta Prusty
Frontiers in Blockchain (2024) Vol. 7
Open Access | Times Cited: 1

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