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:
Forecasting the Stock Price of Listed Innovative SMEs Using Machine Learning Methods Based on Bayesian optimization: Evidence from China
Wei Liu, Yoshihisa Suzuki, Shuyi Du
Computational Economics (2023) Vol. 63, Iss. 5, pp. 2035-2068
Closed Access | Times Cited: 7
Wei Liu, Yoshihisa Suzuki, Shuyi Du
Computational Economics (2023) Vol. 63, Iss. 5, pp. 2035-2068
Closed Access | Times Cited: 7
Showing 7 citing articles:
Ensemble learning algorithms based on easyensemble sampling for financial distress prediction
Wei Liu, Yoshihisa Suzuki, Shuyi Du
Annals of Operations Research (2025)
Open Access
Wei Liu, Yoshihisa Suzuki, Shuyi Du
Annals of Operations Research (2025)
Open Access
Wavelet Denoising and Double-Layer Feature Selection for Stock Trend Prediction
Yong Zhang, Jianping Qin, BingXue Lin, et al.
Computational Economics (2025)
Closed Access
Yong Zhang, Jianping Qin, BingXue Lin, et al.
Computational Economics (2025)
Closed Access
Predicting Auditor Opinion and Stock Price Using Machine Learning Techniques: Evidence from Egypt
Omayma Rizk Elguoshy, Ahmed Mahmoud Ahmed Elbrashy, Bassant Badr El Din El Sharawy
المجلة العلمية للدراسات والبحوث المالية والإدارية (2024) Vol. 16, Iss. 1, pp. 480-519
Open Access
Omayma Rizk Elguoshy, Ahmed Mahmoud Ahmed Elbrashy, Bassant Badr El Din El Sharawy
المجلة العلمية للدراسات والبحوث المالية والإدارية (2024) Vol. 16, Iss. 1, pp. 480-519
Open Access
Designing a combined Markov-bayesian model in order to predict stock prices in the stock exchange
Azam Hajiaghajani
International Journal of Innovation in Management Economics and Social Sciences (2023) Vol. 3, Iss. 2, pp. 33-41
Open Access
Azam Hajiaghajani
International Journal of Innovation in Management Economics and Social Sciences (2023) Vol. 3, Iss. 2, pp. 33-41
Open Access
What investors need to know about forecasting stock market return volatility using artificial intelligence
Aviral Kumar Tiwari, Emmanuel Joel Aikins Abakah, Mohammad Abdullah, et al.
Elsevier eBooks (2023)
Closed Access
Aviral Kumar Tiwari, Emmanuel Joel Aikins Abakah, Mohammad Abdullah, et al.
Elsevier eBooks (2023)
Closed Access
Machine learning portfolios for US stock prices: Directional forecasting before and during the COVID-19 pandemic
Adán Reyes Santiago, Jaime González Maiz Jiménez
Contaduría y Administración (2023) Vol. 69, Iss. 4
Open Access
Adán Reyes Santiago, Jaime González Maiz Jiménez
Contaduría y Administración (2023) Vol. 69, Iss. 4
Open Access
Investor Behavior Analysis Using Bayesian Learning for the Equity Market
Haider Sharif, Mohammed Jameel Alsalhy, Raaid Alubady, et al.
(2023), pp. 1-6
Closed Access
Haider Sharif, Mohammed Jameel Alsalhy, Raaid Alubady, et al.
(2023), pp. 1-6
Closed Access
