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:
SMPDF: stock movement prediction based on stock prices and text
Qiuyue Zhang, Yunfeng Zhang, Fangxun Bao, et al.
International Journal of General Systems (2023) Vol. 53, Iss. 4, pp. 509-526
Closed Access | Times Cited: 7
Qiuyue Zhang, Yunfeng Zhang, Fangxun Bao, et al.
International Journal of General Systems (2023) Vol. 53, Iss. 4, pp. 509-526
Closed Access | Times Cited: 7
Showing 7 citing articles:
Carbon emissions forecasting based on tensor decomposition with multi-source data fusion
Xiaofeng Xu, Xiaoxi Cao, Lean Yu
Information Sciences (2024) Vol. 681, pp. 121235-121235
Closed Access | Times Cited: 4
Xiaofeng Xu, Xiaoxi Cao, Lean Yu
Information Sciences (2024) Vol. 681, pp. 121235-121235
Closed Access | Times Cited: 4
Multi-modal deep learning for credit rating prediction using text and numerical data streams
Mahsa Tavakoli, Rohitash Chandra, Fengrui Tian, et al.
Applied Soft Computing (2025), pp. 112771-112771
Open Access
Mahsa Tavakoli, Rohitash Chandra, Fengrui Tian, et al.
Applied Soft Computing (2025), pp. 112771-112771
Open Access
HCEG: A heterogeneous clustering ensemble learning approach with gravity-based strategy for data assets intelligent pricing
Jun Hao, Jiaxin Yuan, Jianping Li
Information Sciences (2024) Vol. 678, pp. 121082-121082
Closed Access | Times Cited: 1
Jun Hao, Jiaxin Yuan, Jianping Li
Information Sciences (2024) Vol. 678, pp. 121082-121082
Closed Access | Times Cited: 1
A Systematic Review on Graph Neural Network-based Methods for Stock Market Forecasting
Manali Patel, Krupa Jariwala, Chiranjoy Chattopadhyay
ACM Computing Surveys (2024)
Closed Access | Times Cited: 1
Manali Patel, Krupa Jariwala, Chiranjoy Chattopadhyay
ACM Computing Surveys (2024)
Closed Access | Times Cited: 1
A deep learning-based model for stock price prediction under consideration of financial news publishers
Quanshi Zhou, Lifen Jia, Wei Chen
International Journal of General Systems (2024), pp. 1-41
Closed Access | Times Cited: 1
Quanshi Zhou, Lifen Jia, Wei Chen
International Journal of General Systems (2024), pp. 1-41
Closed Access | Times Cited: 1
Intelligent Stock Forecasting by Iterative Global-Local Fusion
Jiahao Qin, Bihao You, Feng Liu
Lecture notes in computer science (2024), pp. 285-295
Closed Access
Jiahao Qin, Bihao You, Feng Liu
Lecture notes in computer science (2024), pp. 285-295
Closed Access
Stock price prediction using the Sand Cat Swarm Optimization and an improved deep Long Short Term Memory network
Burak Gülmez
Borsa Istanbul Review (2024)
Open Access
Burak Gülmez
Borsa Istanbul Review (2024)
Open Access
