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:

A Critical Assessment of Large Language Models for Systematic Reviews: Utilizing ChatGPT for Complex Data Extraction
Hesam Mahmoudi, Doris F. Chang, Hannah Lee, et al.
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 7

Showing 7 citing articles:

Introducing the INSPIRE Framework: Guidelines From Expert Librarians for Search and Selection in HCI Literature
Joseph Tu, Lennart E. Nacke, Katja Rogers
Interacting with Computers (2025)
Open Access | Times Cited: 1

Potential Roles of Large Language Models in the Production of Systematic Reviews and Meta-Analyses
Xufei Luo, Fengxian Chen, Di Zhu, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e56780-e56780
Open Access | Times Cited: 6

Assessing the ability of ChatGPT to extract natural product bioactivity and biosynthesis data from publications
Thomas L. Kalmer, Christine Mae F. Ancajas, Zihao Cheng, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

LLMscreen: A Python Package for Systematic Review Screening of Scientific Texts Using Prompt Engineering
Ziqian Xia, Jinquan Ye, Bo Hu, et al.
Research Square (Research Square) (2024)
Closed Access

Automated Assessment of Reporting Completeness in Orthodontic Research Using LLMs: An Observational Study
Fahad Alharbi, Saeed N. Asiri
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10323-10323
Open Access

From promise to practice: challenges and pitfalls in the evaluation of large language models for data extraction in evidence synthesis
Gerald Gartlehner, Leila C. Kahwati, Barbara Nußbaumer-Streit, et al.
BMJ evidence-based medicine (2024), pp. bmjebm-113199
Closed Access

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