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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:

GCNET: Graph-based prediction of stock price movement using graph convolutional network
Alireza Jafari, Saman Haratizadeh
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105452-105452
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

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 | Times Cited: 1
STAD-GCN: Spatial–Temporal Attention-based Dynamic Graph Convolutional Network for retail market price prediction
Sodam Kim, Eunil Park
Expert Systems with Applications (2024) Vol. 255, pp. 124553-124553
Closed Access | Times Cited: 6
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: 14
Landslide susceptibility evaluation based on active deformation and graph convolutional network algorithm
Xianmin Wang, Aiheng Du, Fengchang Hu, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 13
Algorithmic stock trading based on ensemble deep neural networks trained with time graph
Muhammed Yilmaz, Mustafa Mert Keskin, Ahmet Murat Özbayoğlu
Applied Soft Computing (2024) Vol. 163, pp. 111847-111847
Closed Access | Times Cited: 4
Stock Type Prediction Model Based on Hierarchical Graph Neural Network
Jianhua Yao, Yuxin Dong, Jiajing Wang, et al.
2022 International Conference on Electronics and Devices, Computational Science (ICEDCS) (2024), pp. 426-430
Closed Access | Times Cited: 4
STGAT: Spatial–Temporal Graph Attention Neural Network for Stock Prediction
Ruizhe Feng, Shanshan Jiang, Xingyu Liang, et al.
Applied Sciences (2025) Vol. 15, Iss. 8, pp. 4315-4315
Open Access
A novel inter-intra graph neural networks for stock price forecasting modeling cross-border relationships
Maryam Bukhari, Muazzam Maqsood, Asma Sattar
Expert Systems with Applications (2025), pp. 127907-127907
Closed Access
Integrated GCN–BiGRU–TPE Agricultural Product Futures Prices Prediction Based on Multi-graph Construction
Dabin Zhang, Xiaoming Li, Liwen Ling, et al.
Computational Economics (2025)
Closed Access
A temporal graph-based contrastive approach for financial time series forecasting
Iman Barazandeh, Saman Haratizadeh, Georgios Sermpinis
Engineering Applications of Artificial Intelligence (2025) Vol. 153, pp. 110834-110834
Closed Access
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: 2
DMEformer: A newly designed dynamic model ensemble transformer for crude oil futures prediction
Chao Liu, Kaiyi Ruan, Xinmeng Ma
Heliyon (2023) Vol. 9, Iss. 6, pp. e16715-e16715
Open Access | Times Cited: 6
Research on trend prediction of component stock in fuzzy time series based on deep forest
Peng Li, Hengwen Gu, Lili Yin, et al.
CAAI Transactions on Intelligence Technology (2022) Vol. 7, Iss. 4, pp. 617-626
Open Access | Times Cited: 8
Enhancing stock market prediction using three-phase classifier and EM-EPO optimization with news feeds and historical data
Shilpa Dixit, Nitasha Soni
Multimedia Tools and Applications (2023) Vol. 83, Iss. 13, pp. 37859-37887
Closed Access | Times Cited: 4
A framework for stock selection via concept-oriented attention representation in hypergraph neural network
Yuxiao Yan, Changsheng Zhang, Xiaohang Li, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111326-111326
Closed Access | Times Cited: 4
A Joint Model for Stock Prediction Based on Image and Text Multisource Heterogeneous Data
泓含 昝
Computer Science and Application (2024) Vol. 14, Iss. 01, pp. 88-97
Closed Access | Times Cited: 1
Multi-scale contrast approach for stock index prediction with adaptive stock fusion
Jianliang Gao, Shenwei Wang, Changlong He, et al.
Expert Systems with Applications (2024), pp. 125590-125590
Closed Access | Times Cited: 1
AI in Investment Analysis: LLMs for Equity Stock Ratings
Kassiani Papasotiriou, Srijan Sood, Shayleen Reynolds, et al.
(2024), pp. 419-427
Open Access | Times Cited: 1
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 | Times Cited: 1
Stock Price Movement Prediction based on Relation Type guided Graph Convolutional Network
Hao Peng, Ke Dong, Jie Yang
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106948-106948
Closed Access | Times Cited: 3
The Network of Mutual Funds: A Dynamic Heterogeneous Graph Neural Network for Estimating Mutual Funds Performance
Siqi Jiang, Ajim Uddin, Zhi Wei, et al.
(2023), pp. 235-243
Open Access | Times Cited: 2
Ameliorated graph sample and aggregate network and convolutional neural network for stock trading decisions
Xi Chen, Kaoru Hirota, Yaping Dai, et al.
Applied Soft Computing (2023) Vol. 145, pp. 110626-110626
Closed Access | Times Cited: 1
Sglnet: A Self-Supervised Framework for Stock Price Prediction
Jiayi Xu, Yong Li
(2024)
Closed Access
TCL: Trend-consistent Contrastive Learning for Stock Movement Prediction
Li Xia, Rihu Liao
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 33, pp. 1-8
Closed Access
Time Series Foundation Models and Deep Learning Architectures for Earthquake Temporal and Spatial Nowcasting
Alireza Jafari, Geoffrey Fox, John B. Rundle, et al.
GeoHazards (2024) Vol. 5, Iss. 4, pp. 1247-1274
Open Access
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