OpenAlex Citation Counts

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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:

Incorporating stock prices and text for stock movement prediction based on information fusion
Qiuyue Zhang, Yunfeng Zhang, Fangxun Bao, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107377-107377
Closed Access | Times Cited: 10

Showing 10 citing articles:

A hybrid dual-branch model with recurrence plots and transposed transformer for stock trend prediction
Jingyu Su, Haoyu Li, Ruiqi Wang, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2025) Vol. 35, Iss. 1
Closed Access

Towards Economic Sustainability: A Comprehensive Review of Artificial Intelligence and Machine Learning Techniques in Improving the Accuracy of Stock Market Movements
Atoosa Rezaei, Iheb Abdellatif, Amjad Umar
International Journal of Financial Studies (2025) Vol. 13, Iss. 1, pp. 28-28
Open Access

An electric vehicle sales hybrid forecasting method based on improved sentiment analysis model and secondary decomposition
Jinpei Liu, Pan Hui, Rui Luo, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 150, pp. 110561-110561
Closed Access

Leveraging large language models to examine the interaction between investor sentiment and stock performance
Yong Zhuang, Feilong Wang, Dickson K.W. Chiu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 150, pp. 110602-110602
Closed Access

To Rise or to Fall? Chinese Medicinal Materials Price Index Trend Prediction using GA-XGBoost Feature Selection and Bi-GRU Deep Learning
Liang Ye, Chonghui Guo
Journal of Systems Science and Systems Engineering (2025)
Closed Access

A hierarchical deep model integrating economic facts for stock movement prediction
Jiahao Yang, Ming Zhang, Shuo Feng, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108320-108320
Closed Access | Times Cited: 2

Deep Convolutional Transformer Network for Stock Movement Prediction
Li Yang Xie, Zhengming Chen, Sheng Yu
Electronics (2024) Vol. 13, Iss. 21, pp. 4225-4225
Open Access | Times Cited: 2

HEnsem_DTIs: A heterogeneous ensemble learning model for drug-target interactions prediction
Mohammad Reza Keyvanpour, Yasaman Asghari, Soheila Mehrmolaei
Chemometrics and Intelligent Laboratory Systems (2024) Vol. 253, pp. 105224-105224
Closed Access

Hybrid price prediction method combining TCN-BiGRU and attention mechanism for battery-grade lithium carbonate
Zhanglin Peng, Tianci Yin, Xuhui Zhu, et al.
Kybernetes (2024)
Closed Access

HDML: hybrid data-driven multi-task learning for China’s stock price forecast
Weiqiang Xu, Yang Liu, Wenjie Liu, et al.
Applied Intelligence (2024)
Closed Access

How does user-generated content on Social Media affect stock predictions? A case study on GameStop
Antonino Ferraro, Giancarlo Sperlì
Online Social Networks and Media (2024) Vol. 43-44, pp. 100293-100293
Open Access

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