OpenAlex Citation Counts

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:

Did the public attribute the Flint Water Crisis to racism as it was happening? Text analysis of Twitter data to examine causal attributions to racism during a public health crisis
Neslihan Bisgin, Halil Bişğin, Daniel Hummel, et al.
Journal of Computational Social Science (2022) Vol. 6, Iss. 1, pp. 165-190
Open Access | Times Cited: 5

Showing 5 citing articles:

A systematic review of social media-based sentiment analysis in disaster risk management
Bilal Ilyas, Ayyoob Sharifi
International Journal of Disaster Risk Reduction (2025), pp. 105487-105487
Open Access

Temporal public perceptions and experiences during water service disruptions: the case of Jackson, Mississippi
Haniye Safarpour, Lauryn A. Spearing
Environmental Research Infrastructure and Sustainability (2024) Vol. 4, Iss. 1, pp. 015003-015003
Open Access

Comparing location-specific and location-open social media data: methodological lessons from a study of blaming of minorities on Twitter during the COVID-19 pandemic
Shiyi Zhang, Panayiota Tsatsou, Lauren M. McLaren, et al.
Journal of Computational Social Science (2024) Vol. 7, Iss. 3, pp. 2457-2479
Open Access

Racial Attitudes and Views of Disaster
Martin Gilens, Tali Mendelberg, Nicholas Short
Political Research Quarterly (2024)
Closed Access

Examining ethno-racial attitudes of the public in Twitter discourses related to the United States Supreme Court Dobbs vs. Jackson Women's Health Organization ruling: A machine learning approach
Otobo I. Ujah, Pelumi Olaore, Onome C. Nnorom, et al.
Frontiers in Global Women s Health (2023) Vol. 4
Open Access | Times Cited: 1

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Requested Article:

Showing 5 citing articles:

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