
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 price in a new hybrid neural network model with machine learning
Rui Zhu, Guang-Yan Zhong, Jiang-Cheng Li
Expert Systems with Applications (2024) Vol. 249, pp. 123697-123697
Closed Access | Times Cited: 19
Rui Zhu, Guang-Yan Zhong, Jiang-Cheng Li
Expert Systems with Applications (2024) Vol. 249, pp. 123697-123697
Closed Access | Times Cited: 19
Showing 19 citing articles:
Major Issues in High-Frequency Financial Data Analysis: A Survey of Solutions
Lu Zhang, Lei Hua
Mathematics (2025) Vol. 13, Iss. 3, pp. 347-347
Open Access
Lu Zhang, Lei Hua
Mathematics (2025) Vol. 13, Iss. 3, pp. 347-347
Open Access
Transfer learning for predicting of gross domestic product growth based on remittance inflows using RNN-LSTM hybrid model: a case study of The Gambia
Haruna Jallow, Ronald Waweru Mwangi, Alieu Gibba, et al.
Frontiers in Artificial Intelligence (2025) Vol. 8
Open Access
Haruna Jallow, Ronald Waweru Mwangi, Alieu Gibba, et al.
Frontiers in Artificial Intelligence (2025) Vol. 8
Open Access
Financial Time Series Forecasting: A Comprehensive Review of Signal Processing and Optimization-Driven Intelligent Models
Matoori Praveen, Satish Dekka, Sai Dai, et al.
Computational Economics (2025)
Closed Access
Matoori Praveen, Satish Dekka, Sai Dai, et al.
Computational Economics (2025)
Closed Access
Forecasting stock market time series through the integration of bee colony optimizer and multivariate empirical mode decomposition with extreme gradient boosting regression
Xuefeng Liu, Zhixin Wu, Jiayue Xin
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110353-110353
Closed Access
Xuefeng Liu, Zhixin Wu, Jiayue Xin
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110353-110353
Closed Access
Economic implications of enhanced stock market analysis using improved forecasting methods
Jason Peng, Yuming Yang
Expert Systems with Applications (2025), pp. 127240-127240
Closed Access
Jason Peng, Yuming Yang
Expert Systems with Applications (2025), pp. 127240-127240
Closed Access
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
Review and Analysis of Financial Market Movements: Google Stock Case Study
Yiming LU
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 4
Open Access | Times Cited: 3
Yiming LU
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 4
Open Access | Times Cited: 3
Estimating Stock Market Prices with Histogram-based Gradient Boosting Regressor: A Case Study on Alphabet Inc
Shigen Li
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 5
Open Access | Times Cited: 3
Shigen Li
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 5
Open Access | Times Cited: 3
Prediction of Financial Markets Utilizing an Innovatively Optimized Hybrid Model: A Case Study of the Hang Seng Index
Xiaopeng YANG
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 4
Open Access | Times Cited: 1
Xiaopeng YANG
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 4
Open Access | Times Cited: 1
Forecasting of S&P 500 ESG Index by Using CEEMDAN and LSTM Approach
Divya Aggarwal, Sougata Banerjee
Journal of Forecasting (2024)
Closed Access | Times Cited: 1
Divya Aggarwal, Sougata Banerjee
Journal of Forecasting (2024)
Closed Access | Times Cited: 1
Prediction of Rock Bursts Based on Microseismic Energy Change: Application of Bayesian Optimization–Long Short-Term Memory Combined Model
Xiang-yun Fu, Shiwei Chen, Tuo Zhang
Applied Sciences (2024) Vol. 14, Iss. 20, pp. 9277-9277
Open Access | Times Cited: 1
Xiang-yun Fu, Shiwei Chen, Tuo Zhang
Applied Sciences (2024) Vol. 14, Iss. 20, pp. 9277-9277
Open Access | Times Cited: 1
A Novel Proposal for Improving Economic Decision-Making Through Stock Price Index Forecasting
Yao Xu, Weikang Zeng, Lei Zhu, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 4
Open Access
Yao Xu, Weikang Zeng, Lei Zhu, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 4
Open Access
A Method for Assessing Financial Market Price Behavior: An Analysis of the Shanghai Stock Exchange Index
Zhi Huang, Jiansheng Li
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 5
Open Access
Zhi Huang, Jiansheng Li
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 5
Open Access
Dual-market quantitative trading: The dynamics of liquidity and turnover in financial markets
Qing Zhu, Chenyu Han, Yuze Li
Data Science and Management (2024)
Open Access
Qing Zhu, Chenyu Han, Yuze Li
Data Science and Management (2024)
Open Access
The two-stage pricing of preannouncement for platform introducing self-operated logistics under consideration of the first- or second-mover advantage
Ping Li, Bin Wu
Asia Pacific Journal of Marketing and Logistics (2024)
Closed Access
Ping Li, Bin Wu
Asia Pacific Journal of Marketing and Logistics (2024)
Closed Access
A Dynamic Hill Cipher with Arnold Scrambling Technique for Medical Images Encryption
Yue Xi, Ning Yu, Jie Jin, et al.
Mathematics (2024) Vol. 12, Iss. 24, pp. 3948-3948
Open Access
Yue Xi, Ning Yu, Jie Jin, et al.
Mathematics (2024) Vol. 12, Iss. 24, pp. 3948-3948
Open Access
Analysis of Financial Contagion and Prediction of Dynamic Correlations During the COVID-19 Pandemic: A Combined DCC-GARCH and Deep Learning Approach
Víctor Manuel Chung Alva, Jenny Luz Espinoza Poves, Alan Mauricio Mansilla de los Santos
Journal of risk and financial management (2024) Vol. 17, Iss. 12, pp. 567-567
Open Access
Víctor Manuel Chung Alva, Jenny Luz Espinoza Poves, Alan Mauricio Mansilla de los Santos
Journal of risk and financial management (2024) Vol. 17, Iss. 12, pp. 567-567
Open Access
An intelligent framework based on optimized variational mode decomposition and temporal convolutional network: Applications to stock index multi-step forecasting
Yuanyuan Yu, D Dai, Qu Yang, et al.
Expert Systems with Applications (2024), pp. 126222-126222
Closed Access
Yuanyuan Yu, D Dai, Qu Yang, et al.
Expert Systems with Applications (2024), pp. 126222-126222
Closed Access
A Fusion of LightGBM, PLSRegression, and ElasticNet Regressors in Advanced Ensemble Stacking for Empowering Predictive Modeling
Sanjay Kumar, Meenakshi Srivastava, Vijay Prakash, et al.
(2024), pp. 1432-1437
Closed Access
Sanjay Kumar, Meenakshi Srivastava, Vijay Prakash, et al.
(2024), pp. 1432-1437
Closed Access