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:
OPINION AND TECHNICAL INDICATOR BASED OPTIMIZED DEEP LEARNING FOR PREDICTION OF STOCK MARKET
Jaymit B. Pandya, Prof. Udesang K. Jaliya
Indian Journal of Computer Science and Engineering (2021) Vol. 12, Iss. 6, pp. 1860-1874
Open Access | Times Cited: 5
Jaymit B. Pandya, Prof. Udesang K. Jaliya
Indian Journal of Computer Science and Engineering (2021) Vol. 12, Iss. 6, pp. 1860-1874
Open Access | Times Cited: 5
Showing 5 citing articles:
Harnessing Machine Learning for Stock Price Prediction with Random Forest and Simple Moving Average Techniques
Arif Mudi Priyatno, Lidya Ningsih, Muhammad Aslam Noor
Journal of Engineering and Science Application. (2024) Vol. 1, Iss. 1, pp. 1-8
Open Access | Times Cited: 4
Arif Mudi Priyatno, Lidya Ningsih, Muhammad Aslam Noor
Journal of Engineering and Science Application. (2024) Vol. 1, Iss. 1, pp. 1-8
Open Access | Times Cited: 4
Harnessing Deep Learning and Technical Indicators for Enhanced Stock Predictions of Blue-Chip Stocks on the Indonesia Stock Exchange (IDX)
B. Yudi Dwiandiyanta, Rudy Hartanto, Ridi Ferdiana
Engineering Technology & Applied Science Research (2025) Vol. 15, Iss. 1, pp. 20348-20357
Open Access
B. Yudi Dwiandiyanta, Rudy Hartanto, Ridi Ferdiana
Engineering Technology & Applied Science Research (2025) Vol. 15, Iss. 1, pp. 20348-20357
Open Access
Support vector machine-based stock market prediction using long short-term memory and convolutional neural network with aquila circle inspired optimization
J. Karthick Myilvahanan, N. Mohana Sundaram
Network Computation in Neural Systems (2024), pp. 1-36
Closed Access | Times Cited: 3
J. Karthick Myilvahanan, N. Mohana Sundaram
Network Computation in Neural Systems (2024), pp. 1-36
Closed Access | Times Cited: 3
Feature selection using non-parametric correlations and important features on recursive feature elimination for stock price prediction
Arif Mudi Priyatno, Wahyu Febri Ramadhan Sudirman, Raja Joko Musridho
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2024) Vol. 14, Iss. 2, pp. 1906-1906
Open Access | Times Cited: 2
Arif Mudi Priyatno, Wahyu Febri Ramadhan Sudirman, Raja Joko Musridho
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2024) Vol. 14, Iss. 2, pp. 1906-1906
Open Access | Times Cited: 2
Integrating PCA with deep learning models for stock market Forecasting: An analysis of Turkish stocks markets
T. Uckan
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 8, pp. 102162-102162
Open Access | Times Cited: 2
T. Uckan
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 8, pp. 102162-102162
Open Access | Times Cited: 2
