
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 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
Mingxi Liu, Guowen Li, Jianping Li, et al.
Finance research letters (2020) Vol. 40, pp. 101755-101755
Closed Access | Times Cited: 104
Showing 1-25 of 104 citing articles:
A systematic literature review of investor behavior in the cryptocurrency markets
J M de Almeida, Tiago Gonçalves
Journal of Behavioral and Experimental Finance (2023) Vol. 37, pp. 100785-100785
Open Access | Times Cited: 123
J M de Almeida, Tiago Gonçalves
Journal of Behavioral and Experimental Finance (2023) Vol. 37, pp. 100785-100785
Open Access | Times Cited: 123
Financial applications of machine learning: A literature review
Noella Nazareth, Y.V. Reddy
Expert Systems with Applications (2023) Vol. 219, pp. 119640-119640
Closed Access | Times Cited: 107
Noella Nazareth, Y.V. Reddy
Expert Systems with Applications (2023) Vol. 219, pp. 119640-119640
Closed Access | Times Cited: 107
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
Junwei Chen
Journal of risk and financial management (2023) Vol. 16, Iss. 1, pp. 51-51
Open Access | Times Cited: 76
A Review of Deep Learning Techniques for Forecasting Energy Use in Buildings
Jason Runge, Radu Zmeureanu
Energies (2021) Vol. 14, Iss. 3, pp. 608-608
Open Access | Times Cited: 76
Jason Runge, Radu Zmeureanu
Energies (2021) Vol. 14, Iss. 3, pp. 608-608
Open Access | Times Cited: 76
RETRACTED ARTICLE: Evaluating and forecasting the risks of small to medium-sized enterprises in the supply chain finance market using blockchain technology and deep learning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
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
Shahab Rajabi, Pardis Roozkhosh, Nasser Motahari Farimani
Applied Soft Computing (2022) Vol. 129, pp. 109584-109584
Closed Access | Times Cited: 41
LSTM-ReGAT: A network-centric approach for cryptocurrency price trend prediction
Chao Zhong, Wei Du, Wei Xu, et al.
Decision Support Systems (2023) Vol. 169, pp. 113955-113955
Closed Access | Times Cited: 39
Chao Zhong, Wei Du, Wei Xu, et al.
Decision Support Systems (2023) Vol. 169, pp. 113955-113955
Closed Access | Times Cited: 39
Explainable artificial intelligence modeling to forecast bitcoin prices
John W. Goodell, Sami Ben Jabeur, Foued Saâdaoui, et al.
International Review of Financial Analysis (2023) Vol. 88, pp. 102702-102702
Closed Access | Times Cited: 30
John W. Goodell, Sami Ben Jabeur, Foued Saâdaoui, et al.
International Review of Financial Analysis (2023) Vol. 88, pp. 102702-102702
Closed Access | Times Cited: 30
Forecasting cryptocurrency returns with machine learning
Yujun Liu, Zhongfei Li, Ramzi Nekhili, et al.
Research in International Business and Finance (2023) Vol. 64, pp. 101905-101905
Closed Access | Times Cited: 25
Yujun Liu, Zhongfei Li, Ramzi Nekhili, et al.
Research in International Business and Finance (2023) Vol. 64, pp. 101905-101905
Closed Access | Times Cited: 25
Cryptocurrency price forecasting – A comparative analysis of ensemble learning and deep learning methods
Ahmed Bouteska, Mohammad Zoynul Abedin, Petr Hájek, et al.
International Review of Financial Analysis (2023) Vol. 92, pp. 103055-103055
Open Access | Times Cited: 23
Ahmed Bouteska, Mohammad Zoynul Abedin, Petr Hájek, et al.
International Review of Financial Analysis (2023) Vol. 92, pp. 103055-103055
Open Access | Times Cited: 23
Seeing is believing: Forecasting crude oil price trend from the perspective of images
Xiaohang Ren, Wenting Jiang, Qiang Ji, et al.
Journal of Forecasting (2024) Vol. 43, Iss. 7, pp. 2809-2821
Closed Access | Times Cited: 8
Xiaohang Ren, Wenting Jiang, Qiang Ji, et al.
Journal of Forecasting (2024) Vol. 43, Iss. 7, pp. 2809-2821
Closed Access | Times Cited: 8
Stock market prediction with deep learning: The case of China
Qingfu Liu, Zhenyi Tao, Yiuman Tse, et al.
Finance research letters (2021) Vol. 46, pp. 102209-102209
Closed Access | Times Cited: 54
Qingfu Liu, Zhenyi Tao, Yiuman Tse, et al.
Finance research letters (2021) Vol. 46, pp. 102209-102209
Closed Access | Times Cited: 54
A Blockchain and Metaheuristic-Enabled Distributed Architecture for Smart Agricultural Analysis and Ledger Preservation Solution: A Collaborative Approach
Abdullah Ayub Khan, Zaffar Ahmed Shaikh, Larisa Belinskaja, et al.
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1487-1487
Open Access | Times Cited: 37
Abdullah Ayub Khan, Zaffar Ahmed Shaikh, Larisa Belinskaja, et al.
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1487-1487
Open Access | Times Cited: 37
Financial fraud detection using the related-party transaction knowledge graph
Xuting Mao, Hao Sun, Xiaoqian Zhu, et al.
Procedia Computer Science (2022) Vol. 199, pp. 733-740
Open Access | Times Cited: 31
Xuting Mao, Hao Sun, Xiaoqian Zhu, et al.
Procedia Computer Science (2022) Vol. 199, pp. 733-740
Open Access | Times Cited: 31
Deep Learning-Based Bitcoin Price Forecasting Using Neural Prophet
Teuku Rizky Noviandy, Aga Maulana, Ghazi Mauer Idroes, et al.
Ekonomikalia Journal of Economics (2023) Vol. 1, Iss. 1, pp. 19-25
Open Access | Times Cited: 20
Teuku Rizky Noviandy, Aga Maulana, Ghazi Mauer Idroes, et al.
Ekonomikalia Journal of Economics (2023) Vol. 1, Iss. 1, pp. 19-25
Open Access | Times Cited: 20
Centralized decomposition approach in LSTM for Bitcoin price prediction
Eunho Koo, Geonwoo Kim
Expert Systems with Applications (2023) Vol. 237, pp. 121401-121401
Closed Access | Times Cited: 16
Eunho Koo, Geonwoo Kim
Expert Systems with Applications (2023) Vol. 237, pp. 121401-121401
Closed Access | Times Cited: 16
Is cryptocurrency a hedging tool during economic policy uncertainty? An empirical investigation
Chengying He, Yong Li, Tianqi Wang, et al.
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 6
Chengying He, Yong Li, Tianqi Wang, et al.
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 6
Research on the Feasibility of Applying GRU and Attention Mechanism Combined with Technical Indicators in Stock Trading Strategies
Ming-Che Lee
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1007-1007
Open Access | Times Cited: 26
Ming-Che Lee
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1007-1007
Open Access | Times Cited: 26
Probabilistic deep learning and transfer learning for robust cryptocurrency price prediction
Amin Golnari, Mohammad Hossein Komeili, Zahra Azizi
Expert Systems with Applications (2024) Vol. 255, pp. 124404-124404
Closed Access | Times Cited: 4
Amin Golnari, Mohammad Hossein Komeili, Zahra Azizi
Expert Systems with Applications (2024) Vol. 255, pp. 124404-124404
Closed Access | Times Cited: 4
Using deep learning to predict energy stock risk spillover based on co-investor attention
Jingjian Si, Xiangyun Gao, Jinsheng Zhou
Finance research letters (2025) Vol. 74, pp. 106759-106759
Closed Access
Jingjian Si, Xiangyun Gao, Jinsheng Zhou
Finance research letters (2025) Vol. 74, pp. 106759-106759
Closed Access
Harnessing technical indicators with deep learning based price forecasting for cryptocurrency trading
Mingu Kang, Jinglan Hong, Suntae Kim
Physica A Statistical Mechanics and its Applications (2025), pp. 130359-130359
Closed Access
Mingu Kang, Jinglan Hong, Suntae Kim
Physica A Statistical Mechanics and its Applications (2025), pp. 130359-130359
Closed Access
Putting VAR forecasts of the real price of crude oil to the test
Reinhard Ellwanger, Stephen Snudden
Finance research letters (2025), pp. 106940-106940
Open Access
Reinhard Ellwanger, Stephen Snudden
Finance research letters (2025), pp. 106940-106940
Open Access
Forecasting the Bitcoin price using the various Machine Learning: A systematic review in data-driven marketing
Payam Boozary, Sohgand Sheykhan, Hamed GhorbanTanhaei
Systems and Soft Computing (2025), pp. 200209-200209
Open Access
Payam Boozary, Sohgand Sheykhan, Hamed GhorbanTanhaei
Systems and Soft Computing (2025), pp. 200209-200209
Open Access
A dynamic ensemble learning with multi-objective optimization for oil prices prediction
Jun Hao, Qianqian Feng, Jiaxin Yuan, et al.
Resources Policy (2022) Vol. 79, pp. 102956-102956
Closed Access | Times Cited: 21
Jun Hao, Qianqian Feng, Jiaxin Yuan, et al.
Resources Policy (2022) Vol. 79, pp. 102956-102956
Closed Access | Times Cited: 21
Dynamics of bitcoin prices and energy consumption
Moinak Maiti
Chaos Solitons & Fractals X (2022) Vol. 9, pp. 100086-100086
Closed Access | Times Cited: 19
Moinak Maiti
Chaos Solitons & Fractals X (2022) Vol. 9, pp. 100086-100086
Closed Access | Times Cited: 19