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:

Factuality challenges in the era of large language models and opportunities for fact-checking
Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 8, pp. 852-863
Closed Access | Times Cited: 8

Showing 8 citing articles:

Unveiling ambiguity: ChatGPT vs. human writing
Bill X. Hu
Applied Economics Letters (2025), pp. 1-9
Closed Access

A dataset for evaluating clinical research claims in large language models
Boya Zhang, Alban Bornet, Anthony Yazdani, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access

Outsourcing, Augmenting, or Complicating: The Dynamics of AI in Fact-Checking Practices in the Nordics
Laurence Dierickx, Stefanie Sirén‐Heikel, Carl‐Gustav Lindén
Emerging Media (2024) Vol. 2, Iss. 3, pp. 449-473
Open Access | Times Cited: 2

Results and implications for generative AI in a large introductory biomedical and health informatics course
William Hersh, Kate Fultz Hollis
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 1

Pick your AI poison

Nature Machine Intelligence (2024) Vol. 6, Iss. 10, pp. 1119-1119
Closed Access

A dataset for evaluating clinical research claims in large language models
Boya Zhang, Anthony Yazdani, Alban Bornet, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

Knowledge Graphs, Large Language Models, and hallucinations: An NLP perspective
Ernests Lavrinovics, Russa Biswas, Johannes Bjerva, et al.
Journal of Web Semantics (2024), pp. 100844-100844
Open Access

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