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:

Exploring Bias and Information Bubbles in YouTube’s Video Recommendation Networks
Baris Kirdemir, Nitin Agarwal
Studies in computational intelligence (2021), pp. 166-177
Closed Access | Times Cited: 9

Showing 9 citing articles:

Investigating Bias in YouTube Recommendations: Emotion, Morality, and Network Dynamics in China-Uyghur Content
Mert Can Çakmak, Obianuju Okeke, Ugochukwu Onyepunuka, et al.
Studies in computational intelligence (2024), pp. 351-362
Closed Access | Times Cited: 5

Opening up Echo Chambers via Optimal Content Recommendation
Antoine Vendeville, Anastasios Giovanidis, Effrosyni Papanastasiou, et al.
Studies in computational intelligence (2023), pp. 74-85
Closed Access | Times Cited: 5

Reducing Exposure to Harmful Content via Graph Rewiring
Corinna Coupette, Stefan Neumann, Aristides Gionis
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 323-334
Open Access | Times Cited: 2

Complex Networks & Their Applications X
R. M. Benito, Chantal Cherifi, Hocine Cherifi, et al.
Studies in computational intelligence (2022)
Open Access | Times Cited: 3

Evaluating Bias and Fairness in AI: An Analysis of YouTube’s Recommendation Algorithm and its Impact on Geopolitical Discourse
Mert Can Çakmak, Nitin Agarwal, Obianuju Okeke, et al.
Research Square (Research Square) (2024)
Open Access

The bias beneath: analyzing drift in YouTube’s algorithmic recommendations
Mert Can Çakmak, Nitin Agarwal, Remi Oni
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Open Access

User perceptions of algorithmic persuasion in OTT platforms: A scoping review
Ronald Svondo Nyathi, Sophie McKenzie, Jianhua Li, et al.
(2024), pp. 1-7
Closed Access

The effect of Collaborative-Filtering based Recommendation Algorithms on Opinion Polarization
Alessandro Bellina, Claudio Castellano, Paul Pineau, et al.
arXiv (Cornell University) (2023)
Open Access

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