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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:

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 26-50 of 47 citing articles:

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
High-Accuracy Airborne Rangefinder via Deep Learning based on Piezoelectric Micromachined Ultrasonic Cantilevers
Amirhossein Moshrefi, Abid Ali, Suaid Tariq Balghari, et al.
IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control (2024) Vol. 71, Iss. 9, pp. 1074-1086
Closed Access | Times Cited: 1
FORECASTING BITCOIN PRICES WITH THE ANFIS MODEL
Büşra KUTLU KARABIYIK, Zeliha Can Ergün
Dicle Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi (2021) Vol. 11, Iss. 22, pp. 295-315
Open Access | Times Cited: 9
Gold and Bitcoin Optimal Portfolio Research and Analysis Based on Machine-Learning Methods
Jingjing Li, Xinge Rao, Xianyi Li, et al.
Sustainability (2022) Vol. 14, Iss. 21, pp. 14659-14659
Open Access | Times Cited: 6
Prediction of Bitcoin Price using Deep Learning Model
S. Ezhilin Freeda, T.C.Ezhil Selvan, I.G. Hemanandhini
2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) (2021), pp. 1702-1706
Closed Access | Times Cited: 5
Predicting Financial Risk Associated to Bitcoin Investment by Deep Learning
Nahla Aljojo
ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL (2022) Vol. 11, Iss. 1, pp. 5-18
Open Access | Times Cited: 3
Machine Learning as a Predictive Technology And Its Impact on Digital Pricing and Cryptocurrency Markets
Naveen Chakravarthy Sattaru, Dhananjay Umrao, K. K. Ramachandran, et al.
2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) (2022), pp. 1077-1080
Closed Access | Times Cited: 3
Enhancing Bitcoin Tail Risk Estimation: Integrating Adaptive Lasso with Caviar Framework
He Ni, Ze Shen, Jiajun Cheng
(2024)
Closed Access
Forecasting cryptocurrency's buy signal with a bagged tree learning approach to enhance purchase decisions
Raed Alsini, Qasem Abu Al‐Haija, Abdulaziz A. Alsulami, et al.
Frontiers in Big Data (2024) Vol. 7
Open Access
A Review of Bitcoin Price Prediction Based on Deep Learning Algorithms
Hanaa Tayib, Adnan Mohsin Abdulazeez
Indonesian Journal of Computer Science (2024) Vol. 13, Iss. 2
Open Access
Economic Theory and Machine Learning Integration in Asset Pricing and Portfolio Optimization: A Bibliometric Analysis and Conceptual Framework
Patrick Kevin Aritonang, Sudarso Kaderi Wiryono, Taufik Faturohman
Journal of Computer Science (2024) Vol. 20, Iss. 10, pp. 1291-1309
Open Access
Predicting Bitcoin’s Price: A Critical Review of Forecasting Models and Methods
Luc Minh Tuan, Roman Šenkeřík, Tran Khanh Dang
Communications in computer and information science (2024), pp. 36-50
Closed Access
Bitcoin Forecasting Using Deep Learning and Time Series Ensemble Techniques
Huma Zafar, Stylianos Kapetanakis
Lecture notes in computer science (2024), pp. 105-115
Closed Access
DERİN ÖĞRENME VE EKONOMETRİK MODEL İLE BİTCOİN FİYAT TAHMİNİ: LSTM ve ARIMA
Yasin Büyükkör
Karamanoğlu Mehmetbey Üniversitesi Sosyal Ve Ekonomik Araştırmalar Dergisi (2024) Vol. 26, Iss. 47, pp. 978-993
Open Access
Neural Networks for Estimating Speculative Attacks Models
David Alaminos, Fernando Aguilar-Vijande, José Ramón Sánchez-Serrano
Entropy (2021) Vol. 23, Iss. 1, pp. 106-106
Open Access | Times Cited: 3
Adoption of blockchain + Internet of Things in demand forecasting of farm supply chain
Hao Wang, Tao Liu, Zhongyang Yu
Expert Systems (2022) Vol. 41, Iss. 5
Closed Access | Times Cited: 2
Constructing a Cryptocurrency-Price Prediction Model Using Deep Learning
Trần Kim Toại, Thanh Thi Tuyet Le, Thinh Tien Bui, et al.
2021 International Conference on Engineering and Emerging Technologies (ICEET) (2022), pp. 1-6
Closed Access | Times Cited: 2
Factor Augmented Artificial Neural Network vs Deep Learning for Forecasting Global Liquidity Dynamics
David Alaminos
Lecture notes in computer science (2021), pp. 15-28
Closed Access | Times Cited: 2
A Comparative Analysis and Prediction over Bitcoin Price Using Machine Learning Technique
Meenu Gupta, Riya Srivastava
Fusion Practice and Applications (2021), pp. 31-41
Closed Access | Times Cited: 2
Identificación de factores de influencia en el precio de las criptomonedas: evidencia para bitcoin y ethereum
Prosper Lamothe Fernández, Prosper Lamothe López, Manuel Ángel Fernández Gámez, et al.
Cuadernos Económicos de ICE (2020), Iss. 100
Open Access | Times Cited: 1
Assessing the Predictability of Bitcoin Using AI and Statistical Models
Keshanth Jude Jegathees, Aminu K. Bello, Michael O’Dea
Advances in information security (2023), pp. 215-240
Closed Access
Distributional Asymmetric and Nonlinear Interconnectedness between Crypto-Assets and the Us Equity Market: A Contrary Point of View
Walid Ben Omrane, Shawkat Hammoudeh, Amine Lahiani, et al.
(2023)
Closed Access
Digital Asset Valuation Method for Online Games Based on Machine Learning Algorithms
Zhihong Pan, Ning Huang, Zhiming Xu, et al.
(2023), pp. 18-22
Closed Access
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