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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:

HGNN: Hierarchical graph neural network for predicting the classification of price-limit-hitting stocks
Cong Xu, Huiling Huang, Xiaoting Ying, et al.
Information Sciences (2022) Vol. 607, pp. 783-798
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Artificial intelligence techniques in financial trading: A systematic literature review
Fatima Dakalbab, Manar Abu Talib, Qassim Nasir, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 3, pp. 102015-102015
Open Access | Times Cited: 16
Financial Anti-Fraud Based on Dual-Channel Graph Attention Network
Sizheng Wei, Suan Lee
Journal of theoretical and applied electronic commerce research (2024) Vol. 19, Iss. 1, pp. 297-314
Open Access | Times Cited: 13
Integrating sentiment analysis with graph neural networks for enhanced stock prediction: A comprehensive survey
Nabanita Das, Bikash Sadhukhan, Rajdeep Chatterjee, et al.
Decision Analytics Journal (2024) Vol. 10, pp. 100417-100417
Open Access | Times Cited: 11
Does user interest matter? Exploring the impact of ignoring user interests in recommendations
Lijia Chen, Chang Sun, Yan-Li Lee, et al.
Expert Systems with Applications (2025), pp. 127373-127373
Closed Access
Negative samples selecting strategy for graph contrastive learning
Rui Miao, Yintao Yang, Yao Ma, et al.
Information Sciences (2022) Vol. 613, pp. 667-681
Closed Access | Times Cited: 20
MG-Conv: A spatiotemporal multi-graph convolutional neural network for stock market index trend prediction
Changhai Wang, Hui Liang, Bo Wang, et al.
Computers & Electrical Engineering (2022) Vol. 103, pp. 108285-108285
Closed Access | Times Cited: 19
Metapath-fused heterogeneous graph network for molecular property prediction
Ying Ji, Guojia Wan, Yibing Zhan, et al.
Information Sciences (2023) Vol. 629, pp. 155-168
Closed Access | Times Cited: 11
An enhanced Wasserstein generative adversarial network with Gramian Angular Fields for efficient stock market prediction during market crash periods
Alireza Ghasemieh, Rasha Kashef
Applied Intelligence (2023) Vol. 53, Iss. 23, pp. 28479-28500
Closed Access | Times Cited: 8
DR-GAT: Dynamic routing graph attention network for stock recommendation
Zengyu Lei, Caiming Zhang, Yunyang Xu, et al.
Information Sciences (2023) Vol. 654, pp. 119833-119833
Closed Access | Times Cited: 8
FinHGNN: A conditional heterogeneous graph learning to address relational attributes for stock predictions
Jinghua Tan, Qing Li, Jun Wang, et al.
Information Sciences (2022) Vol. 618, pp. 317-335
Closed Access | Times Cited: 9
Review of graph construction and graph learning in stock price prediction
Yunong Wang, Yi Qu, Zhensong Chen
Procedia Computer Science (2022) Vol. 214, pp. 771-778
Open Access | Times Cited: 9
Understanding the influence of news on society decision making: application to economic policy uncertainty
Paul Trust, Ahmed H. Zahran, Rosane Minghim
Neural Computing and Applications (2023) Vol. 35, Iss. 20, pp. 14929-14945
Open Access | Times Cited: 5
GeNNius: an ultrafast drug–target interaction inference method based on graph neural networks
Uxía Veleiro, Jesús de la Fuente, Guillermo Serrano, et al.
Bioinformatics (2023) Vol. 40, Iss. 1
Open Access | Times Cited: 5
AI in Stock Market Forecasting: A Bibliometric Analysis
Hồng Nhung Đào, Wang ChuanYuan, Aoshi Suzuki, et al.
SHS Web of Conferences (2024) Vol. 194, pp. 01003-01003
Open Access | Times Cited: 1
A Survey on Recommender Systems using Graph Neural Network
V. D. Anand, Ashish Kumar Maurya
ACM transactions on office information systems (2024)
Closed Access | Times Cited: 1
MSGraph: Modeling multi-scale K-line sequences with graph attention network for profitable indices recommendation
Changhai Wang, Jiaxi Ren, Hui Liang
Electronic Research Archive (2023) Vol. 31, Iss. 5, pp. 2626-2650
Open Access | Times Cited: 4
Conducting stock market index prediction via the localized spatial–temporal convolutional network
Changhai Wang, Jiaxi Ren, Hui Liang, et al.
Computers & Electrical Engineering (2023) Vol. 108, pp. 108687-108687
Closed Access | Times Cited: 2
Transfer learning model for cash-instrument prediction adopting a Transformer derivative
Ling Feng, Ananta Sinchai
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 3, pp. 102000-102000
Open Access
An automated quantitative investment model of stock selection and market timing based on industry information
Minshi Liu, Weipeng Sun, Jiafeng Chen, et al.
Egyptian Informatics Journal (2024) Vol. 26, pp. 100471-100471
Open Access
Deep learning for economic transformation: a parametric review
Usman Tariq, Irfan Ahmed, Muhammad Attique Khan, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 35, Iss. 1, pp. 520-520
Open Access
Sglnet: A Self-Supervised Framework for Stock Price Prediction
Jiayi Xu, Yong Li
(2024)
Closed Access
An Improved Stock Movement Prediction Method Using Transformer
Takuya Yokoyama, Shoto Morishita, Qiu Chen
(2024), pp. 27-31
Closed Access
MF-DAT: a stock trend prediction of the double-graph attention network based on multisource information fusion
Kun Huang, Xiaoming Li, Naixue Xiong, et al.
Multimedia Systems (2024) Vol. 30, Iss. 3
Open Access
Evaluating Financial Relational Graphs: Interpretation Before Prediction
Y. Niu, Lixian Lu, Rian Dolphin, et al.
(2024), pp. 564-572
Open Access
Comparative performance of machine learning-selected portfolios from dynamic CSI300 constituents: forward vs. backward adjusted stock prices
Ligang Zhou, Chen Xiao-guo, Xiaoou Tang
Applied Intelligence (2024) Vol. 55, Iss. 3
Closed Access
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