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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:

Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks
Rui Cheng, Qing Li
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 1, pp. 55-62
Open Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction
Sheng Xiang, Dawei Cheng, Chencheng Shang, et al.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (2022)
Open Access | Times Cited: 45
Attention-based graph neural networks: a survey
Chengcheng Sun, Chenhao Li, Xiang Lin, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S2, pp. 2263-2310
Closed Access | Times Cited: 32
Fuzzy hypergraph network for recommending top-K profitable stocks
Xiang Ma, Tianlong Zhao, Qiang Guo, et al.
Information Sciences (2022) Vol. 613, pp. 239-255
Closed Access | Times Cited: 36
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
Stock Movement Prediction Based on Bi-Typed Hybrid-Relational Market Knowledge Graph Via Dual Attention Networks
Yu Zhao, Huaming Du, Ying Liu, et al.
IEEE Transactions on Knowledge and Data Engineering (2022), pp. 1-12
Open Access | Times Cited: 30
A stock rank prediction method combining industry attributes and price data of stocks
Huajin Liu, Tianlong Zhao, Suwei Wang, et al.
Information Processing & Management (2023) Vol. 60, Iss. 4, pp. 103358-103358
Closed Access | Times Cited: 18
ComNC: A unified framework for trends prediction integrating node and concept effects
S. Y. Xiao, Qing Li, Xuan Gong, et al.
Neurocomputing (2025), pp. 129721-129721
Closed Access
Integrated GCN-LSTM stock prices movement prediction based on knowledge-incorporated graphs construction
Yong Shi, Yunong Wang, Yi Qu, et al.
International Journal of Machine Learning and Cybernetics (2023) Vol. 15, Iss. 1, pp. 161-176
Closed Access | Times Cited: 14
The utility of hyperplane angle metric in detecting financial concept drift
ZhiPeng Jiang, Dengyi Zhang, Xiaolei Luo, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Unraveling asset pricing with AI: A systematic literature review
Yan Chen, Lin Zhang, Zhilong Xie, et al.
Applied Soft Computing (2025), pp. 112978-112978
Closed Access
Leveraging BiLSTM-GAT for enhanced stock market prediction: a dual-graph approach to portfolio optimization
Xiaojian Lu, Josiah Poon, Matloob Khushi
Applied Intelligence (2025) Vol. 55, Iss. 7
Open Access
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
MetaTrader
Hui Niu, Siyuan Li, Jian Li
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (2022)
Open Access | Times Cited: 17
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
CI-STHPAN: Pre-trained Attention Network for Stock Selection with Channel-Independent Spatio-Temporal Hypergraph
Hongjie Xia, Huijie Ao, Long Li, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 8, pp. 9187-9195
Open Access | Times Cited: 3
The Effect of ESG News on the Chinese Stock Market
Xiaoqing Eleanor Xu, Yan Chen, Jingmei Zhao, et al.
Journal of Global Information Management (2022) Vol. 30, Iss. 1, pp. 1-21
Open Access | Times Cited: 15
Stock trend prediction based on industry relationships driven hypergraph attention networks
Haodong Han, Liang Xie, Shengshuang Chen, et al.
Applied Intelligence (2023) Vol. 53, Iss. 23, pp. 29448-29464
Closed Access | Times Cited: 7
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
Considering momentum spillover effects via graph neural network in option pricing
Yao Wang, Jingmei Zhao, Qing Li, et al.
Journal of Futures Markets (2024) Vol. 44, Iss. 6, pp. 1069-1094
Closed Access | Times Cited: 2
A non-ferrous metal price ensemble prediction system based on innovative combined kernel extreme learning machine and chaos theory
Honggang Guo, Jianzhou Wang, Zhiwu Li, et al.
Resources Policy (2022) Vol. 79, pp. 102975-102975
Closed Access | Times Cited: 12
Research on Graph Neural Network in Stock Market
Wenjun Zhang, Zhensong Chen, Jianyu Miao, et al.
Procedia Computer Science (2022) Vol. 214, pp. 786-792
Open Access | Times Cited: 11
Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model
Jinan Zou, Haiyao Cao, Lingqiao Liu, et al.
(2022)
Open Access | Times Cited: 10
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
A large-scale microblog dataset and stock movement prediction based on Supervised Contrastive Learning model
Yang Song, Xunzhu Tang
Neurocomputing (2024) Vol. 584, pp. 127583-127583
Closed Access | Times Cited: 1
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
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