Stock Price Forecasting with Artificial Neural Networks Long Short-Term Memory: A Bibliometric Analysis and Systematic Literature Review

ISSN Print: 2327-5219
ISSN Online: 2327-5227
www.scirp.net/journal/jcc
E-mail: [email protected]

Citations

"Stock Price Forecasting with Artificial Neural Networks Long Short-Term Memory: A Bibliometric Analysis and Systematic Literature Review"
written by Cristiane Orquisa Fantin, Eli Hadad,
published by Journal of Computer and Communications, Vol.10 No.12, 2022

has been cited by the following article(s):

[1]	RNN-LSTM: From applications to modeling techniques and beyond—Systematic review
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[2]	Navigating the technical analysis in stock markets: Insights from bibliometric and topic modeling approaches
	… and Financial Innovations, 2024

[3]	Long Short-Term Memory (LSTM): Trends and Future Research Potential

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