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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:

Integrating large language models in systematic reviews: a framework and case study using ROBINS-I for risk of bias assessment
Bashar Hasan, Samer Saadi, Noora S. Rajjoub, et al.
BMJ evidence-based medicine (2024) Vol. 29, Iss. 6, pp. 394-398
Closed Access | Times Cited: 17

Showing 17 citing articles:

Sensitivity and Specificity of Using GPT-3.5 Turbo Models for Title and Abstract Screening in Systematic Reviews and Meta-analyses
Viet-Thi Tran, Gerald Gartlehner, Sally Yaacoub, et al.
Annals of Internal Medicine (2024) Vol. 177, Iss. 6, pp. 791-799
Closed Access | Times Cited: 18
Artificial intelligence for modelling infectious disease epidemics
Moritz U. G. Kraemer, Joseph L.-H. Tsui, Serina Chang, et al.
Nature (2025) Vol. 638, Iss. 8051, pp. 623-635
Closed Access | Times Cited: 5
Transforming literature screening: The emerging role of large language models in systematic reviews
Fernando M. Delgado-Chaves, Matthew J. Jennings, António Atalaia, et al.
Proceedings of the National Academy of Sciences (2025) Vol. 122, Iss. 2
Open Access | Times Cited: 3
Collaborative large language models for automated data extraction in living systematic reviews
Muhammad Ali Khan, Umair Ayub, Syed Arsalan Ahmed Naqvi, et al.
Journal of the American Medical Informatics Association (2025)
Open Access | Times Cited: 2
Screening articles for systematic reviews with ChatGPT
Eugene Syriani, István Dávid, G. Kiran Kumar
Journal of Computer Languages (2024) Vol. 80, pp. 101287-101287
Open Access | Times Cited: 8
Pilot study on large language models for risk-of-bias assessments in systematic reviews: A(I) new type of bias?
Joseph Barsby, Samuel Hume, Hamish A.L. Lemmey, et al.
BMJ evidence-based medicine (2024), pp. bmjebm-112990
Closed Access | Times Cited: 4
Generative artificial intelligence use in evidence synthesis: A systematic review
Justin Clark, Belinda Barton, Loai Albarqouni, et al.
Research Synthesis Methods (2025), pp. 1-19
Closed Access
Language models for data extraction and risk of bias assessment in complementary medicine
Honghao Lai, Jiayi Liu, Chunyang Bai, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Human versus artificial intelligence: evaluating ChatGPT’s performance in conducting published systematic reviews with meta-analysis in chronic pain research
Anam Purewal, Kalli Fautsch, Johana Klasová, et al.
Regional Anesthesia & Pain Medicine (2025), pp. rapm-106358
Closed Access
Exploring the potential of Claude 2 for risk of bias assessment: Using a large language model to assess randomized controlled trials with RoB 2
Angelika Eisele‐Metzger, Judith-Lisa Lieberum, Markus Toews, et al.
Research Synthesis Methods (2025), pp. 1-18
Open Access
Large language model-generated clinical practice guideline for appendicitis
Amy Boyle, Bright Huo, Patricia Sylla, et al.
Surgical Endoscopy (2025)
Closed Access
The emergence of large language models as tools in literature reviews: a large language model-assisted systematic review
Dmitry Scherbakov, Nina Hubig, Vinita Jansari, et al.
Journal of the American Medical Informatics Association (2025)
Open Access
Streamlining systematic reviews with large language models using prompt engineering and retrieval augmented generation
Fouad Trad, Ryan Yammine, Jana Charafeddine, et al.
BMC Medical Research Methodology (2025) Vol. 25, Iss. 1
Open Access
Future of Evidence Synthesis: Automated, Living, and Interactive Systematic Reviews and Meta-analyses
Irbaz Bin Riaz, Syed Arsalan Ahmed Naqvi, Bashar Hasan, et al.
Mayo Clinic Proceedings Digital Health (2024) Vol. 2, Iss. 3, pp. 361-365
Closed Access | Times Cited: 2
Exploring the potential of Claude 2 for risk of bias assessment: Using a large language model to assess randomized controlled trials with RoB 2
Angelika Eisele‐Metzger, Judith-Lisa Lieberum, Markus Toews, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Collaborative Large Language Models for Automated Data Extraction in Living Systematic Reviews
Muhammad Ali Khan, Umair Ayub, Syed Arsalan Ahmed Naqvi, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Concordance between humans and GPT-4 in appraising the methodological quality of case reports and case series using the Murad tool
Zin Tarakji, Adel Kanaan, Samer Saadi, et al.
BMC Medical Research Methodology (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
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 | Times Cited: 1
Evaluating the Performance of ChatGPT‐4o in Risk of Bias Assessments
Ilari Kuitunen, Ville Ponkilainen, Rasmus Liukkonen, et al.
Journal of Evidence-Based Medicine (2024) Vol. 17, Iss. 4, pp. 700-702
Open Access
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