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:
A bibliometric literature review of stock price forecasting: From statistical model to deep learning approach
Pham Hoang Vuong, Lam Hung Phu, Tran Hong Van Nguyen, et al.
Science Progress (2024) Vol. 107, Iss. 1
Open Access | Times Cited: 8
Pham Hoang Vuong, Lam Hung Phu, Tran Hong Van Nguyen, et al.
Science Progress (2024) Vol. 107, Iss. 1
Open Access | Times Cited: 8
Showing 8 citing articles:
A Comprehensive Review of Methods for Hydrological Forecasting Based on Deep Learning
Xinfeng Zhao, Hongyan Wang, Mingyu Bai, et al.
Water (2024) Vol. 16, Iss. 10, pp. 1407-1407
Open Access | Times Cited: 10
Xinfeng Zhao, Hongyan Wang, Mingyu Bai, et al.
Water (2024) Vol. 16, Iss. 10, pp. 1407-1407
Open Access | Times Cited: 10
Stock Price Forecasting With Integration of Sectoral Behavior: A Deep Auto‐Optimized Multimodal Framework
Renu Saraswat, Ajit Kumar
Journal of Forecasting (2025)
Closed Access
Renu Saraswat, Ajit Kumar
Journal of Forecasting (2025)
Closed Access
Hybrid CNN-BiGRU-AM Model with Anomaly Detection for Nonlinear Stock Price Prediction
Jiacheng Luo, Yun Cao, Kai Xie, et al.
Electronics (2025) Vol. 14, Iss. 7, pp. 1275-1275
Open Access
Jiacheng Luo, Yun Cao, Kai Xie, et al.
Electronics (2025) Vol. 14, Iss. 7, pp. 1275-1275
Open Access
Deep learning-based predictive models for forex market trends: Practical implementation and performance evaluation
Phuong Dong Nguyen, Nguyen Ngoc Thao, Duong Thi Kim, et al.
Science Progress (2024) Vol. 107, Iss. 3
Open Access | Times Cited: 1
Phuong Dong Nguyen, Nguyen Ngoc Thao, Duong Thi Kim, et al.
Science Progress (2024) Vol. 107, Iss. 3
Open Access | Times Cited: 1
Implications of Deep Learning for Stock Market Forecasting
Supendi, Devi Kumala, Maria Lusiana Yulianti
International Journal Software Engineering and Computer Science (IJSECS) (2024) Vol. 4, Iss. 1, pp. 68-80
Open Access
Supendi, Devi Kumala, Maria Lusiana Yulianti
International Journal Software Engineering and Computer Science (IJSECS) (2024) Vol. 4, Iss. 1, pp. 68-80
Open Access
Stock price prediction based on particle swarm algorithm optimised SVM univariate time series algorithm
Yuhang Li
(2024)
Open Access
Yuhang Li
(2024)
Open Access
Unveiling the Future: Exploring Stock Price Prediction in the Finance Sector through Machine Learning and Deep Learning - A Comprehensive Bibliometric Analysis
M Martha Sucharitha, Md Shaik Amzad Basha, C. Prabhavathi, et al.
(2024), pp. 1-7
Closed Access
M Martha Sucharitha, Md Shaik Amzad Basha, C. Prabhavathi, et al.
(2024), pp. 1-7
Closed Access
Mapping the Evolution of Ethical Standards in Trading: A Bibliometric Analysis
Miguel Guillén-Pujadas, David Alaminos, Emili Vizuete–Luciano, et al.
International Review of Economics & Finance (2024), pp. 103639-103639
Open Access
Miguel Guillén-Pujadas, David Alaminos, Emili Vizuete–Luciano, et al.
International Review of Economics & Finance (2024), pp. 103639-103639
Open Access
A Textual Sentiment Analysis for Stock Price Volatility Forecasting using Bidirectional Long Short-Term Memory
Vidya Kamma, Biren Prasad, Areman Ramyasri, et al.
(2024), pp. 1-5
Closed Access
Vidya Kamma, Biren Prasad, Areman Ramyasri, et al.
(2024), pp. 1-5
Closed Access
