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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:

Effective Exploitation of Macroeconomic Indicators for Stock Direction Classification Using the Multimodal Fusion Transformer
Tae‐Won Lee, Paweł Teisseyre, Jaesung Lee
IEEE Access (2023) Vol. 11, pp. 10275-10287
Open Access | Times Cited: 12

Showing 12 citing articles:

Designing an efficient Deep Dyna Q based VARMAx Model for Prediction of Real-Time changes in Stock Value Patterns
Rachna Sable, Aman Pratap Singh, Sudhanshu Gupta, et al.
Research Square (Research Square) (2025)
Closed Access
A Hybrid Relational Approach Towards Stock Price Prediction and Profitability
Manali Patel, Krupa Jariwala, Chiranjoy Chattopadhyay
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 11, pp. 5844-5854
Closed Access | Times Cited: 1
Pro Trader RL: Reinforcement learning framework for generating trading knowledge by mimicking the decision-making patterns of professional traders
Da‐Woon Jeong, Yeong Hyeon Gu
Expert Systems with Applications (2024) Vol. 254, pp. 124465-124465
Open Access | Times Cited: 1
Multimodal market information fusion for stock price trend prediction in the pharmaceutical sector
Hongren Wang, Zerong Xie, Dickson K.W. Chiu, et al.
Applied Intelligence (2024) Vol. 55, Iss. 1
Open Access | Times Cited: 1
Stock Price Prediction Using Artificial Intelligence: A Literature Review
Adel Ismail Al‐Alawi, Naser Alshakhoori
(2024), pp. 1-6
Closed Access
Forecasting Financial Frontiers: Real-time Insights in Stock Price Prediction through LSTM, Linear Regression, and Sentiment Analysis
Ahmed Khalifa, G. Ramesh, R Deekshith, et al.
2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) (2024) Vol. 55, pp. 1-6
Closed Access
Position Papers of the 19th Conference on Computer Science and Intelligence Systems

Annals of Computer Science and Information Systems (2024) Vol. 40
Open Access
MLBGK: A Novel Feature Fusion Model for Forecasting Stocks Prices
Yonghong Li, Zhixian Li, Yuting Chen, et al.
Computational Economics (2024)
Closed Access
Improving Stock Price Prediction with Enhanced Sentiment Integrated with Generative Adversarial Network
G Subhashini, K Abinash, H. R. Lakshmi
SSRN Electronic Journal (2024)
Closed Access
Optimise the performance of the transformer model in stock forecasting for technology companies by aggregating information from different stocks
Yukun Niu
Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering (2024), pp. 1201-1205
Closed Access
Research on stock price prediction from a data fusion perspective
Aihua Li, Qinyan Wei, Yong Shi, et al.
Data Science in Finance and Economics (2023) Vol. 3, Iss. 3, pp. 230-250
Open Access | Times Cited: 1
Approach Advancing Stock Market Forecasting with Joint RMSE Loss LSTM-CNN Model
Mungara Kiran Kumar, Jagdish Chandra Patni, Mohan Raparthi, et al.
Fluctuation and Noise Letters (2023) Vol. 23, Iss. 02
Closed Access
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