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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 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

Showing 26-50 of 104 citing articles:

Stock index futures price prediction using feature selection and deep learning
Wan‐Lin Yan
The North American Journal of Economics and Finance (2022) Vol. 64, pp. 101867-101867
Closed Access | Times Cited: 19
Algorithmic trading using continuous action space deep reinforcement learning
Naseh Majidi, Mahdi Shamsi, Farokh Marvasti
Expert Systems with Applications (2023) Vol. 235, pp. 121245-121245
Open Access | Times Cited: 12
On modeling acquirer delisting post-merger using machine learning techniques
Ephraim Kwashie Thompson, Changki Kim, So-Yeun Kim
Journal of Management Analytics (2024) Vol. 11, Iss. 2, pp. 247-275
Closed Access | Times Cited: 4
From Prediction to Profit: A Comprehensive Review of Cryptocurrency Trading Strategies and Price Forecasting Techniques
Otabek Sattarov, Jaeyoung Choi
IEEE Access (2024) Vol. 12, pp. 87039-87064
Open Access | Times Cited: 4
N-BEATS Deep Learning Architecture for Agricultural Commodity Price Forecasting
G. H. Harish Nayak, Md Wasi Alam, G. Avinash, et al.
Potato Research (2024)
Closed Access | Times Cited: 4
Prediction of Bitcoin price based on manipulating distribution strategy
Eunho Koo, Geonwoo Kim
Applied Soft Computing (2021) Vol. 110, pp. 107738-107738
Closed Access | Times Cited: 24
Analysis of financial fraud based on manager knowledge graph
Shigang Wen, Jianping Li, Xiaoqian Zhu, et al.
Procedia Computer Science (2022) Vol. 199, pp. 773-779
Open Access | Times Cited: 17
Robust drivers of Bitcoin price movements: An extreme bounds analysis
Walid M.A. Ahmed
The North American Journal of Economics and Finance (2022) Vol. 62, pp. 101728-101728
Closed Access | Times Cited: 16
How well do investor sentiment and ensemble learning predict Bitcoin prices?
Petr Hájek, Lubica Hikkerova, Jean‐Michel Sahut
Research in International Business and Finance (2022) Vol. 64, pp. 101836-101836
Closed Access | Times Cited: 16
Statistical Modeling of High Frequency Datasets Using the ARIMA-ANN Hybrid
Etaf Alshawarbeh, Alanazi Talal Abdulrahman, Eslam Hussam
Mathematics (2023) Vol. 11, Iss. 22, pp. 4594-4594
Open Access | Times Cited: 10
A survey of long short term memory and its associated models in sustainable wind energy predictive analytics
Sherry Garg, Rajalakshmi Krishnamurthi
Artificial Intelligence Review (2023) Vol. 56, Iss. S1, pp. 1149-1198
Closed Access | Times Cited: 9
An Integrated Fuzzy Analytic Network Process and Fuzzy Regression Method for Bitcoin Price Prediction
Arman Amiri, Madjid Tavana, Hosein Arman
Internet of Things (2023) Vol. 25, pp. 101027-101027
Closed Access | Times Cited: 9
Deep Learning Models for Bitcoin Prediction Using Hybrid Approaches with Gradient-Specific Optimization
Amina Ladhari, Heni Boubaker
Forecasting (2024) Vol. 6, Iss. 2, pp. 279-295
Open Access | Times Cited: 3
Forecasting Bitcoin volatility using machine learning techniques
Zih-Chun Huang, Ivan Sangiorgi, Andrew Urquhart
Journal of International Financial Markets Institutions and Money (2024) Vol. 97, pp. 102064-102064
Open Access | Times Cited: 3
An Analytic Review on Stock Market Price Prediction using Machine Learning and Deep Learning Techniques
Swarnalata Rath, Nilima R. Das, Binod Kumar Pattanayak
Recent Patents on Engineering (2023) Vol. 18, Iss. 2
Closed Access | Times Cited: 8
A novel cryptocurrency price time series hybrid prediction model via machine learning with MATLAB/Simulink
Lingxiao Zhao, Zhiyang Li, Yue Ma, et al.
The Journal of Supercomputing (2023) Vol. 79, Iss. 14, pp. 15358-15389
Closed Access | Times Cited: 8
Cryptocurrency return prediction: A machine learning analysis
LI Xing-yi, Yujun Liu, Zhuang Liu, et al.
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 2
Intricacy of cryptocurrency returns
Maximilian Nagl
Economics Letters (2024) Vol. 239, pp. 111746-111746
Open Access | Times Cited: 2
Forecasting of Cryptocurrency Price and Financial Stability: Fresh Insights based on Big Data Analytics and Deep Learning Artificial Intelligence Techniques
Jihen Bouslimi, Sahbi Boubaker, Kais Tissaoui
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 3, pp. 14162-14169
Open Access | Times Cited: 2
A Bibliometric Analysis of Risk Management in Foreign Direct Investment: Insights and Implications
Lili Pan, Lin Wang, Qianqian Feng
Sustainability (2022) Vol. 14, Iss. 12, pp. 7078-7078
Open Access | Times Cited: 11
Prediction of Cryptocurrency Price using Time Series Data and Deep Learning Algorithms
M. Thamban Nair, Mohamed I. Marie, Laila A. Abd-Elmegid
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 8
Open Access | Times Cited: 6
Using GNN to detect financial fraud based on the related party transactions network
Xuting Mao, Mingxi Liu, Yinghui Wang
Procedia Computer Science (2022) Vol. 214, pp. 351-358
Open Access | Times Cited: 9
ARIMA for Short-Term and LSTM for Long-Term in Daily Bitcoin Price Prediction
Trần Kim Toại, Roman Šenkeřík, Ivan Zelinka, et al.
Lecture notes in computer science (2023), pp. 131-143
Closed Access | Times Cited: 5
A decision support system using signals from social media and news to predict cryptocurrency prices
Hemang Subramanian, Patricia Angle, Florent Rouxelin, et al.
Decision Support Systems (2023) Vol. 178, pp. 114129-114129
Closed Access | Times Cited: 5
A Deep Learning Framework for Baltic Dry Index Forecasting
Mingxi Liu, Yajie Zhao, Jingkai Wang, et al.
Procedia Computer Science (2022) Vol. 199, pp. 821-828
Open Access | Times Cited: 8

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