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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:

Multivariate cryptocurrency prediction: comparative analysis of three recurrent neural networks approaches
Seng Hansun, Arya Wicaksana, A.Q.M. Khaliq
Journal Of Big Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Forecasting Cryptocurrency Prices Using LSTM, GRU, and Bi-Directional LSTM: A Deep Learning Approach
Phumudzo Lloyd Seabe, Claude Rodrigue Bambe Moutsinga, Edson Pindza
Fractal and Fractional (2023) Vol. 7, Iss. 2, pp. 203-203
Open Access | Times Cited: 70
An improved convolutional neural network-bidirectional gated recurrent unit algorithm for robust state of charge and state of energy estimation of new energy vehicles of lithium-ion batteries
Fan Wu, Shunli Wang, Donglei Liu, et al.
Journal of Energy Storage (2024) Vol. 82, pp. 110574-110574
Closed Access | Times Cited: 15
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: 19
Prediction of Ethereum Prices Based on Blockchain Information in an Industrial Finance System Using Machine Learning Techniques
Syrine Ben Romdhane, Fahmi Ben Rejab, Khadija Mnasri
Communications in computer and information science (2025), pp. 189-211
Closed Access
Revolutionizing Cryptocurrency Price Prediction: Advanced Insights from Machine Learning, Deep Learning and Hybrid Models
Abdullah Amberkhani, Harshitha Bolisetty, Ranjith Narasimhaiah, et al.
Lecture notes in networks and systems (2025), pp. 274-286
Closed Access
Development of a cryptocurrency price prediction model: leveraging GRU and LSTM for Bitcoin, Litecoin and Ethereum
Ramneet Kaur, Mudita Uppal, Deepali Gupta, et al.
PeerJ Computer Science (2025) Vol. 11, pp. e2675-e2675
Open Access
Forecasting Bitcoin Price by Tuned Long Short Term Memory Model
Aleksandar Petrović, Luka Jovanovic, Miodrag Živković, et al.
(2023), pp. 187-202
Open Access | Times Cited: 13
Understanding rate of return dynamics of cryptocurrencies: an experimental campaign
Krzysztof Koszewski, Somnath Mazumdar, Anoop Kumar
Artificial Intelligence Review (2024) Vol. 57, Iss. 1
Open Access | Times Cited: 4
Intraday algorithmic trading strategies for cryptocurrencies
Gil Cohen
Review of Quantitative Finance and Accounting (2023) Vol. 61, Iss. 1, pp. 395-409
Closed Access | Times Cited: 11
A survey of deep learning applications in cryptocurrency
Junhuan Zhang, Kewei Cai, Jiaqi Wen
iScience (2023) Vol. 27, Iss. 1, pp. 108509-108509
Open Access | Times Cited: 10
Machine learning Ethereum cryptocurrency prediction and knowledge-based investment strategies
Adrián Viéitez, Matilde Santos, Rodrigo Naranjo
Knowledge-Based Systems (2024) Vol. 299, pp. 112088-112088
Open Access | Times Cited: 3
Forecasting and Trading of the Stable Cryptocurrencies With Machine Learning and Deep Learning Algorithms for Market Conditions
Hasib Shamshad, Fasee Ullah, Asad Ullah, et al.
IEEE Access (2023) Vol. 11, pp. 122205-122220
Open Access | Times Cited: 7
Profitability trend prediction in crypto financial markets using Fibonacci technical indicator and hybrid CNN model
Bilal Hassan Ahmed Khattak, Imran Shafi, Chaudhary Hamza Rashid, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Cryptocurrency trading: A systematic mapping study
Duy Thien An Nguyen, Ka Ching Chan
International Journal of Information Management Data Insights (2024) Vol. 4, Iss. 2, pp. 100240-100240
Closed Access | Times Cited: 2
Intraday trading of cryptocurrencies using polynomial auto regression
Gil Cohen
AIMS Mathematics (2023) Vol. 8, Iss. 4, pp. 9782-9794
Open Access | Times Cited: 6
The Application and Ethics of Artificial Intelligence in Blockchain
Jing Chen, Feng Bao, Chenxi Li, et al.
Journal of Global Information Management (2023) Vol. 31, Iss. 7, pp. 1-32
Open Access | Times Cited: 4
Forecasting Cryptocurrency Prices Using a Gated Recurrent Unit Neural Network
Muhammad Shahzeb Khan, Sibghat Ullah Bazai, Muhammad Imran Ghafoor, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 4
HyBiLSTM: Multivariate Bitcoin Price Forecasting Using Hybrid Time-Series Models With Bidirectional LSTM
Anny Mardjo, Chidchanok Choksuchat
IEEE Access (2024) Vol. 12, pp. 50792-50808
Open Access | Times Cited: 1
Federated learning for scam classification in small Indonesian language dataset: an initial study
Michael Chen, Dareen Kusuma Halim
Indonesian Journal of Electrical Engineering and Computer Science (2023) Vol. 30, Iss. 1, pp. 325-325
Open Access | Times Cited: 3
Deep Learning with Attention Mechanism for Cryptocurrency Price Forecasting
V. Yazhini, Nimal Madhu M., B. Premjith, et al.
Lecture notes in networks and systems (2023), pp. 471-484
Closed Access | Times Cited: 3
Deep Neural Network: Predicting Future Prices of Cryptocurency Using LSTM and GRU
Segun I. I Oladele
(2023)
Open Access | Times Cited: 2
An alternative formulation of the differential quadrature method with a neural network perspective
Stefania Tomasiello, Jorge E. Macías‐Díaz, Joel Alba-Pérez
International Journal of Computer Mathematics (2023) Vol. 100, Iss. 6, pp. 1248-1263
Closed Access | Times Cited: 2
A Deep Learning CNN based Approach to the Problem of Crypto-Currency Prediction
Sajan Kumar Kar
Soft Computing Research Society eBooks (2023), pp. 1123-1136
Open Access | Times Cited: 2
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
Predictive Analytics of Bitcoin Cryptocurrency Price Prediction: A Recurrent Neural Network Approach
Anandhavalli Muniasamy, Salma Abdulaziz Saeed Alquhtani, Linda Elzubair Gasim Alsid
Studies in systems, decision and control (2024), pp. 11-21
Closed Access
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