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 26-50 of 42 citing articles:

Research on Cost Estimation of Launch Vehicle Based on Grey Neural Network
Zihui Liu, Bingfeng Ge, Yuming Huang, et al.
Lecture notes in business information processing (2024), pp. 46-57
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

Comparative Analysis of Recurrent Neural Network Models Performance in Predicting Bitcoin Prices
Zidane Ikkoy Ramadhan, Harya Widiputra
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) (2024) Vol. 8, Iss. 3, pp. 377-388
Closed Access

Forecasting price of cryptocurrency using time series data and machine learning algorithms
Arsh Chauhan, Ritik Chaudhary
AIP conference proceedings (2024) Vol. 3075, pp. 020198-020198
Closed Access

Predictive Analysis of Bitcoin Prices Using Bidirectional Long Short-Term Memory Networks
Prabhnoor Singh, Paurav Goel, Rohit Bajaj
(2024), pp. 114-119
Closed Access

Intelligent Forecasting in Bitcoin Markets
Gil Cohen, Avishay Aiche
Finance research letters (2024), pp. 106487-106487
Closed Access

Towards a New MI-Driven Methodology for Predicting the Prices of Cryptocurrencies
Cătălina Cocianu, Cristian Răzvan Uscatu
Electronics (2024) Vol. 14, Iss. 1, pp. 22-22
Open Access

Exploring Normalization Techniques in Neural Networks for Bitcoin Candlestick Price Prediction
Sutiwat Simtharakao, Daricha Sutivong
(2023), pp. 483-488
Closed Access | Times Cited: 1

Measurement and forecasting of fluctuating Cryptocurrency prices using deep learning
Fozia Zeeshan, Narayan Nepal, Mohammad Norouzifard
(2023), pp. 258-263
Closed Access | Times Cited: 1

Comparative Performance of Machine Learning Algorithms for Predicting Future Committer in Blockchain Projects
Alawiyah Abd Wahab, Huda Ibrahim, Shehu M. Sarkintudu, et al.
Journal of Advanced Research in Applied Sciences and Engineering Technology (2023) Vol. 34, Iss. 2, pp. 72-87
Open Access | Times Cited: 1

A Systematic Review for Crypto Currency Price Prediction using Machine Learning
Pankaj
2022 Fifth International Conference on Computational Intelligence and Communication Technologies (CCICT) (2022), pp. 339-343
Closed Access | Times Cited: 2

WEB APPLICATION WITH ANALYSIS AND VISUALIZATION OF CRYPTOCURRENCY METRICS WITH FUTURE PRICE PREDICTION USING NEURAL NETWORKS
Yurii Kryvenchuk, Veronika PYKHNEI
Herald of Khmelnytskyi National University Technical sciences (2023) Vol. 319, Iss. 2, pp. 171-174
Open Access

Forecasting Cryptocurrency Prices Using Contextual ES-adRNN with Exogenous Variables
Slawek Smyl, Grzegorz Dudek, Paweł Pełka
Lecture notes in computer science (2023), pp. 450-464
Closed Access

Committer Assessment Practice in Blockchain Project: A Systematic Literature Review
Alawiyah Abd Wahab, Huda Ibrahim, Shehu M. Sarkintudu
Journal of Information and Communication Technology (2023) Vol. 22
Open Access

Potential Market-Predictive Features Based Bitcoin Price Prediction Using Machine Learning Algorithms
P. Umamaheswari, S. Abiramasundari, M. Kamaladevi, et al.
Advances in computational intelligence and robotics book series (2022), pp. 233-245
Closed Access

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