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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.

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Showing 1-25 of 44 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
Development of Prompt Templates for Large Language Model–Driven Screening in Systematic Reviews
Christian Cao, Jason Sang, Rohit Arora, et al.
Annals of Internal Medicine (2025)
Closed Access | Times Cited: 1
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: 13
Large Language Models in Mental Health Care: A Systematic Scoping Review (Preprint)
Yining Hua, Fenglin Liu, Kailai Yang, et al.
(2024)
Closed Access | Times Cited: 9
GPT-4 performance on querying scientific publications: reproducibility, accuracy, and impact of an instruction sheet
Kaiming Tao, Zachary A. Osman, Philip L. Tzou, et al.
BMC Medical Research Methodology (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 5
Human-Comparable Sensitivity of Large Language Models in Identifying Eligible Studies Through Title and Abstract Screening: 3-Layer Strategy Using GPT-3.5 and GPT-4 for Systematic Reviews
Kentaro Matsui, Tomohiro Utsumi, Yumi Aoki, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e52758-e52758
Open 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
Opportunities, challenges and risks of using artificial intelligence for evidence synthesis
Waldemar Siemens, Erik von Elm, Harald Binder, et al.
BMJ evidence-based medicine (2025), pp. bmjebm-113320
Closed Access
The role of large language models in the peer-review process: opportunities and challenges for medical journal reviewers and editors
Jisoo Lee, Jieun Lee, Jeong‐Ju Yoo
Journal of Educational Evaluation for Health Professions (2025) Vol. 22, pp. 4-4
Open Access
Using large language models to facilitate academic work in the psychological sciences
Aamir Sohail, Lei Zhang
Current Psychology (2025)
Open 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
Enhancing systematic literature reviews with generative artificial intelligence: development, applications, and performance evaluation
Ying Li, Surabhi Datta, Majid Rastegar-Mojarad, et al.
Journal of the American Medical Informatics Association (2025)
Open Access
A comprehensive systematic review dataset is a rich resource for training and evaluation of AI systems for title and abstract screening
Gary Chan, Estrid He, Janni Leung, et al.
Research Synthesis Methods (2025), pp. 1-15
Closed Access
Can machine learning help accelerate article screening for systematic reviews? Yes, when article separability in embedding space is high
Farhan Ali, Amanda Tan, Shaoqing Wang
Research Synthesis Methods (2025), pp. 1-17
Closed Access
How to Write Effective Prompts for Screening Biomedical Literature Using Large Language Models
Maria Teresa Colangelo, Stefano Guizzardi, Marco Meleti, et al.
BioMedInformatics (2025) Vol. 5, Iss. 1, pp. 15-15
Open Access
Evidence-based advanced prompt engineeringin nursing research: quality analysisof ChatGPT-generated Boolean search query
Joanna Gotlib, Ilona Cieślak, Mariusz Jaworski, et al.
Pielegniarstwo XXI wieku / Nursing in the 21st Century (2025) Vol. 24
Open Access
A Hybrid Semi-Automated Workflow for Systematic and Literature Review Processes with Large Language Model Analysis
Anjia Ye, Ananda Maiti, Matthew Schmidt, et al.
Future Internet (2024) Vol. 16, Iss. 5, pp. 167-167
Open Access | Times Cited: 4
Prompting is all you need: LLMs for systematic review screening
Christian Cao, Jason Sang, Rohit Arora, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 4
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: 3
The Promise and Challenges of Using LLMs to Accelerate the Screening Process of Systematic Reviews
Aleksi Huotala, Miikka Kuutila, Paul Ralph, et al.
(2024) Vol. 12, pp. 262-271
Open Access | Times Cited: 3
Systematic review and meta-analysis of preclinical studies
Benjamin V. Ineichen, Ulrike Held, Georgia Salanti, et al.
Nature Reviews Methods Primers (2024) Vol. 4, Iss. 1
Closed Access | Times Cited: 2
Parenting and mental health in protracted refugee situations: A systematic review
Qusai Khraisha, Nadeen Abujaber, Sadhbh Carpenter, et al.
Comprehensive Psychiatry (2024) Vol. 135, pp. 152536-152536
Open Access | Times Cited: 1
Applying ChatGPT and AI‐Powered Tools to Accelerate Evidence Reviews
Kien Nguyen‐Trung, Alexander K. Saeri, Stefan Kaufman
Human Behavior and Emerging Technologies (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 1
MetaMate: Large Language Model to the Rescue of Automated Data Extraction for Educational Systematic Reviews and Meta-analyses
Xue Wang, Gaoxiang Luo
(2024)
Open Access | Times Cited: 1
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
Open Access | Times Cited: 1
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