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:

Stock trend prediction based on dynamic hypergraph spatio-temporal network
Sihao Liao, Liang Xie, Yuanchuang Du, et al.
Applied Soft Computing (2024) Vol. 154, pp. 111329-111329
Closed Access | Times Cited: 7

Showing 7 citing articles:

The fuzzy hypergraph neural network model based on sparse k-nearest neighborhood granule
Tao Yin, Weiping Ding, Hengrong Ju, et al.
Applied Soft Computing (2025), pp. 112721-112721
Closed Access

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

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

A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide
Sun-Woo Kim, Soo Y. Lee, Yue Gao, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 6534-6544
Open Access | Times Cited: 2

Graph-based stock prediction with multisource information and relational data fusion
Qiuyue Zhang, Yunfeng Zhang, Fangxun Bao, et al.
Information Sciences (2024) Vol. 690, pp. 121561-121561
Closed Access

A dynamic hypergraph attention network: Capturing market-wide spatiotemporal dependencies for stock selection
Zhipeng Liu, Peibo Duan, Xiaosha Xue, et al.
Applied Soft Computing (2024), pp. 112524-112524
Closed Access

Leveraging multi-time-span sequences and feature correlations for improved stock trend prediction
Yawen Li, Mengyu Zhuang, Junheng Wang, et al.
Neurocomputing (2024), pp. 129218-129218
Closed Access

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