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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:

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

Showing 19 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
Multifactor prediction model for stock market analysis based on deep learning techniques
Kangyi Wang
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A systematic literature survey on recent trends in stock market prediction
Prakash Balasubramanian, P. Chinthan, Saleena Badarudeen, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1700-e1700
Open Access | Times Cited: 3
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
Attention based adaptive spatial–temporal hypergraph convolutional networks for stock price trend prediction
Hongyang Su, Xiaolong Wang, Yang Qin, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121899-121899
Closed Access | Times Cited: 4
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 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: 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
Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Mean-Variance Efficient Sampling
Youngbin Lee, Y. Han Kim, Javier Sanz-Cruzado, et al.
(2024), pp. 795-803
Open 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
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
Application of ARIMA-LSTM-CQP Time Rolling Window Multi-Factor Stock Selection Model in Quantitative Investment
Chen Tang, Yidan Xu, Shupo Bu, et al.
Research Square (Research Square) (2024)
Open Access
Enhancing Portfolio Optimization: A Two-Stage Approach with Deep Learning and Portfolio Optimization
Shiguo Huang, Linyu Cao, Ruili Sun, et al.
Mathematics (2024) Vol. 12, Iss. 21, pp. 3376-3376
Open Access
A Graph Neural Network for Comparing the Propagation of Stock Market Shocks
Khalid Bentaleb, Mohamed Ben Houad, Mohammed Mestari
IEEE Access (2024) Vol. 12, pp. 158611-158626
Open Access
Heterogeneous Graph Transformer Auto-Encoder for multivariate time series forecasting
Hongjiang Ye, Ying Sun, Yu Gao, et al.
Computers & Electrical Engineering (2024) Vol. 122, pp. 109927-109927
Closed Access
UMGCN: Updating multi-graph for graph convolutional networks
Guorong Zhu, Keyu Liu, Xibei Yang, et al.
Computers & Electrical Engineering (2024) Vol. 123, pp. 109957-109957
Closed Access
GraphCNNpred: A stock market indices prediction using a Graph based deep learning system
Yuhui Jin
(2024), pp. 170-178
Closed Access
Spatiotemporal Analysis of Health Data using Graph Convolutional Networks in the Cloud
Aasheesh Shukla, Hemant Singh Pokhariya, Jacob J. Michaelson, et al.
(2023), pp. 1-6
Closed Access
Financial Trend Prediction Based on Deep Belief Network
L. P. Zhou, Jin Shen, Ting Zhang
2021 5th Asian Conference on Artificial Intelligence Technology (ACAIT) (2022), pp. 1-5
Closed Access
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