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:

Enhancing Cryptocurrency Price Forecasting by Integrating Machine Learning with Social Media and Market Data
Loris Belcastro, Domenico Carbone, Cristian Cosentino, et al.
Algorithms (2023) Vol. 16, Iss. 12, pp. 542-542
Open Access | Times Cited: 9

Showing 9 citing articles:

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

Exploiting Large Language Models for Enhanced Review Classification Explanations Through Interpretable and Multidimensional Analysis
Cristian Cosentino, Merve Gündüz-Cüre, Fabrizio Marozzo, et al.
Lecture notes in computer science (2025), pp. 3-18
Closed Access

Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions
David L. John, Sebastian Binnewies, Bela Stantić
Forecasting (2024) Vol. 6, Iss. 3, pp. 637-671
Open Access | Times Cited: 2

Unleashing the Power of Tweets and News in Stock-Price Prediction Using Machine-Learning Techniques
Hossein Zolfagharinia, Mehdi Najafi, Shamir Rizvi, et al.
Algorithms (2024) Vol. 17, Iss. 6, pp. 234-234
Open Access

Cryptocurrency Market Dynamics: A Machine Learning-Based Approach for Price Prediction
D. Ganesh, Vemula Chandu Harshavardhan
(2024), pp. 1-6
Closed Access

Candlestick Pattern Recognition in Cryptocurrency Price Time-Series Data Using Rule-Based Data Analysis Methods
Illia Uzun, M. Lobachev, Vyacheslav Kharchenko, et al.
Computation (2024) Vol. 12, Iss. 7, pp. 132-132
Open Access

Harnessing prompt-based large language models for disaster monitoring and automated reporting from social media feedback
Riccardo Cantini, Cristian Cosentino, Fabrizio Marozzo, et al.
Online Social Networks and Media (2024) Vol. 45, pp. 100295-100295
Open Access

Algorithmic trading strategy based on the integration of deep learning models and natural language processing
Neda Sadeghi, Kamran Kianfar, Nasser Ghaem Doust, et al.
International Journal of Data Science and Analytics (2024)
Closed Access

An Out-of-Distribution Generalization Framework Based on Variational Backdoor Adjustment
Hang Su, Wei Wang
Mathematics (2023) Vol. 12, Iss. 1, pp. 85-85
Open Access | Times Cited: 1

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