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:

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

Showing 11 citing articles:

Sentiment analysis for stock market research: A bibliometric study
Xieling Chen, Haoran Xie, Zongxi Li, et al.
Natural Language Processing Journal (2025), pp. 100125-100125
Open Access

Utilizing Ensemble Learning and Dimension Reduction in Predicting Stock Prices: A Transparent Methodology with Insights from Explainable AI
Nabanita Das, Bikash Sadhukhan, Chayan Ghosh, et al.
SN Computer Science (2025) Vol. 6, Iss. 1
Closed Access

A novel strongly-typed Genetic Programming algorithm for combining sentiment and technical analysis for algorithmic trading
Evangelia Christodoulaki, Michael Kampouridis, Maria Kyropoulou
Knowledge-Based Systems (2025), pp. 113054-113054
Closed Access

Enhancing Stock Market Forecasts with Double Deep Q-Network in Volatile Stock Market Environments
George Papageorgiou, Dimitrios Gkaimanis, Christos Tjortjis
Electronics (2024) Vol. 13, Iss. 9, pp. 1629-1629
Open Access | Times Cited: 1

Improving Sentiment Analysis of Social Media Captions Through Advancements in NLP
Abdul harsath M, Arshad Ali, Hari prasath R, et al.
(2024), pp. 732-736
Closed Access

Mining Nuanced Weibo Sentiment with Hierarchical Graph Modeling and Self-Supervised Learning
C.M. Wang, Jessada Konpang, Adisorn Sirikham, et al.
Electronics (2024) Vol. 14, Iss. 1, pp. 41-41
Open Access

Group Decision Method Without Consensus Threshold Based on Personalized Semantic Continuous Learning
Xi Chen
Journal of Advances in Mathematics and Computer Science (2024) Vol. 39, Iss. 4, pp. 62-80
Open Access

Sentiment Analysis with RNNs: Insights from LIME Interpretability
Devesh Srivastava, Saroj Bala, Abhishek Saxena
(2024), pp. 1-7
Closed Access

A novel predictive analytics model for forecasting short-term trends in equity assets prices
Fabián Achury-Calderón, John A. Arredondo, Leidy Catherinne Sánchez Ascanio
Decision Analytics Journal (2024), pp. 100534-100534
Open Access

Hybridized Deep Learning Models and Federated Learning Techniques to Forecast Stock Market Movement
A. Anitha, Bhabani Shankar Prasad Mishra, Rahul Sahu, et al.
Advances in logistics, operations, and management science book series (2024), pp. 161-198
Closed Access

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