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:

Showing 16 citing articles:

Reducing Hallucinations in Large Language Models Through Contextual Position Encoding
Sarah Desrochers, James Wilson, Matthew Beauchesne
(2024)
Open Access | Times Cited: 20

An Evaluation of the Safety of ChatGPT with Malicious Prompt Injection
Jiang Han, Mingming Guo
Research Square (Research Square) (2024)
Open Access | Times Cited: 11

Evaluating Privacy Compliance in Commercial Large Language Models - ChatGPT, Claude, and Gemini
Oliver Cartwright, H. Flanders Dunbar, Theo Radcliffe
Research Square (Research Square) (2024)
Open Access | Times Cited: 11

Benchmarking the Hallucination Tendency of Google Gemini and Moonshot Kimi
Ruoxi Shan, Qiang Ming, Guang Hong, et al.
(2024)
Open Access | Times Cited: 9

Coal Mine Accident Risk Analysis with Large Language Models and Bayesian Networks
Guoliang Du, An Chen
Sustainability (2025) Vol. 17, Iss. 5, pp. 1896-1896
Open Access

Efficient Conceptual Knowledge Removal in Large Language Models: Methods and Evaluations
Miyim Dimitriou, Daniel Rogowski, Michael C. Anderson, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 2

Benchmarking the Ethics of Large Language Models with Polarizing Topics
Ritsuko Moriyama, Mayumi Yamada, Y. Tanaka
(2024)
Open Access | Times Cited: 1

The AI attribution gap: Encouraging transparent acknowledgment in the age of AI
Gilles E. Gignac
Intelligence (2024) Vol. 108, pp. 101880-101880
Closed Access

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