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:

Sentiment analysis for measuring hope and fear from Reddit posts during the 2022 Russo-Ukrainian conflict
Alessio Guerra, Oktay Karakuş
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 13

Showing 13 citing articles:

Russian-Ukraine armed conflict: Lessons learned on the digital ecosystem
Itzhak Aviv, Uri Ferri
International Journal of Critical Infrastructure Protection (2023) Vol. 43, pp. 100637-100637
Closed Access | Times Cited: 19

Using aspect-based sentiment analysis to evaluate the global effects of the food security crisis during the Russia-Ukraine war
Osman Aygun, İrfan Aygün, Mehmet Kaya
Global Food Security (2025) Vol. 44, pp. 100828-100828
Closed Access

Unpacking Online Discourse on Bioplastics: Insights from Reddit Sentiment Analysis
Bernardo Cruz, Aimilia Vaitsi, Samuel Domingos, et al.
Polymers (2025) Vol. 17, Iss. 6, pp. 823-823
Open Access

Exploring Mental Stress Expressions in Online Communities: A Subreddit Analysis
Tuan Anh Tran, Nguyễn Hữu Nghĩa, Tran Dai An, et al.
Journal of Human Earth and Future (2024) Vol. 5, Iss. 2, pp. 131-150
Open Access | Times Cited: 3

Sentiment analysis of the Hamas-Israel war on YouTube comments using deep learning
Ashagrew Liyih, Shegaw Anagaw, Minichel Yibeyin, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3

IsamasRed: A Public Dataset Tracking Reddit Discussions on Israel-Hamas Conflict
Kai Chen, Zihao He, Keith Burghardt, et al.
Proceedings of the International AAAI Conference on Web and Social Media (2024) Vol. 18, pp. 1900-1912
Open Access | Times Cited: 2

Mining themes, emotions, and stance in the news coverage of the Russia–Ukraine War from Reuters and Xinhua
Zhaokun Jiang
Digital Scholarship in the Humanities (2024) Vol. 39, Iss. 2, pp. 609-624
Closed Access | Times Cited: 2

Analyzing Sentiment of Reddit Posts for the Russia-Ukraine War
Armin Krivičić, Sanda Martinčić-Ipšić
(2023), pp. 1709-1714
Closed Access | Times Cited: 2

Analyzing the worldwide perception of the Russia-Ukraine conflict through Twitter
Bernardo Breve, Loredana Caruccio, Stefano Cirillo, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access

Moral Frameworks and Sentiment in Tweets: A Comparative Study of Public Opinion on the Israeli-Palestine Conflict
Yulu Qiu, Yutong Ye, Xupin Zhang, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 7122-7130
Closed Access

System Project for Ukrainian-language Feedback Tonality Analysis in the Health Care Field Based on BERT Model
Volodymyr Motyka, Victoria Vysotska, Lyubomyr Chyrun, et al.
(2023), pp. 1-6
Closed Access

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