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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:

Fine-grained Prediction of Political Leaning on Social Media with Unsupervised Deep Learning
Tiziano Fagni, Stefano Cresci
Journal of Artificial Intelligence Research (2022) Vol. 73, pp. 633-672
Open Access | Times Cited: 14

Showing 14 citing articles:

Multifaceted online coordinated behavior in the 2020 US presidential election
Serena Tardelli, Leonardo Nizzoli, Marco Avvenuti, et al.
EPJ Data Science (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 8
The Spread of Propaganda by Coordinated Communities on Social Media
Kristina Hristakieva, Stefano Cresci, Giovanni Da San Martino, et al.
(2022), pp. 191-201
Open Access | Times Cited: 31
A comprehensive analysis of forecasting elections using social media text
Abhishek Gaur, Dharmendra Kumar Yadav
Multimedia Tools and Applications (2025)
Closed Access
The COVID-19 Infodemic: A Survey (Preprint)
Ali Fahad Al-Qahtani, Hanaa Abbas, Stefano Cresci, et al.
(2025)
Closed Access
Sentiment analysis of twitter data to detect and predict political leniency using natural language processing
V. V. Sai Kowsik, L. Yashwanth, Srivatsan Harish, et al.
Journal of Intelligent Information Systems (2024) Vol. 62, Iss. 3, pp. 765-785
Closed Access | Times Cited: 3
Online Social Behavior Enhanced Detection of Political Stances in Tweets
Xingyu Peng, Zhenkun Zhou, Chong Zhang, et al.
Proceedings of the International AAAI Conference on Web and Social Media (2024) Vol. 18, pp. 1207-1219
Open Access | Times Cited: 2
Party Prediction for Twitter
Kellin Pelrine, Anne Imouza, Zachary Yang, et al.
Proceedings of the International AAAI Conference on Web and Social Media (2024) Vol. 18, pp. 1174-1192
Open Access | Times Cited: 1
Evaluating large language models for user stance detection on X (Twitter)
Margherita Gambini, Caterina Senette, Tiziano Fagni, et al.
Machine Learning (2024)
Open Access | Times Cited: 1
Three language political leaning text classification using naturallanguage processing methods
Yurii A. Kosiv, Vitaliy Yakovyna
Applied Aspects of Information Technology (2022) Vol. 5, Iss. 4, pp. 359-370
Open Access | Times Cited: 3
A Deep Learning Approach to Fine-Grained Political Ideology Classification on Social Media Texts
Erik-Robert Kovacs, Liviu‐Adrian Cotfas, Camelia Delcea
Lecture notes in computer science (2024), pp. 3-14
Closed Access
Ideological orientation and extremism detection in online social networking sites: A systematic review
Kamalakkannan Ravi, Jing Yuan
Intelligent Systems with Applications (2024) Vol. 24, pp. 200456-200456
Open Access
Benchmarking Political Bias Classification with In-Context Learning: Insights from GPT-3.5, GPT-4o, LLaMA-3, and Gemma-2
Eduan Kotzé, Burgert Senekal
Communications in computer and information science (2024), pp. 161-175
Closed Access
How Does the Language of ‘Threat’ Vary Across News Domains? A Semi-Supervised Pipeline for Understanding Narrative Components in News Contexts
Igor Ryazanov, Johanna Björklund
Linköping electronic conference proceedings (2023)
Open Access
Sentiment Analysis of Twitter Data to Detect and Predict Political Leniency Using Natural Language Processing
V. V. Sai Kowsik, L. Yashwanth, Srivatsan Harish, et al.
Research Square (Research Square) (2023)
Open Access
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