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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:

Harnessing the power of synthetic data in healthcare: innovation, application, and privacy
Mauro Giuffré, Dennis Shung
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 120

Showing 1-25 of 120 citing articles:

The ethics of using artificial intelligence in scientific research: new guidance needed for a new tool
David B. Resnik, Mohammad Hosseini
AI and Ethics (2024)
Open Access | Times Cited: 24
Addressing 6 challenges in generative AI for digital health: A scoping review
Tara Templin, Monika W. Perez, Sean Sylvia, et al.
PLOS Digital Health (2024) Vol. 3, Iss. 5, pp. e0000503-e0000503
Open Access | Times Cited: 20
Mimicking clinical trials with synthetic acute myeloid leukemia patients using generative artificial intelligence
Jan‐Niklas Eckardt, Waldemar Hahn, Christoph Röllig, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 17
FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Karim Lekadir, Alejandro F. Frangi, Antonio R. Porras, et al.
BMJ (2025), pp. e081554-e081554
Open Access | Times Cited: 3
Leveraging Administrative Health Databases to Address Health Challenges in Farming Populations: Scoping Review and Bibliometric Analysis (1975-2024)
Pascal Petit, Nicolas Vuillerme
JMIR Public Health and Surveillance (2025) Vol. 11, pp. e62939-e62939
Open Access | Times Cited: 2
Can I trust my fake data – A comprehensive quality assessment framework for synthetic tabular data in healthcare
Vibeke Binz Vallevik, Aleksandar Babić, Serena Marshall, et al.
International Journal of Medical Informatics (2024) Vol. 185, pp. 105413-105413
Open Access | Times Cited: 11
Towards equitable AI in oncology
Vidya Sankar Viswanathan, Vani Parmar, Anant Madabhushi
Nature Reviews Clinical Oncology (2024) Vol. 21, Iss. 8, pp. 628-637
Closed Access | Times Cited: 9
Chest X-ray Images for Lung Disease Detection Using Deep Learning Techniques: A Comprehensive Survey
Mohammed A. A. Al‐qaness, Jie Zhu, Dalal AL-Alimi, et al.
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 6, pp. 3267-3301
Closed Access | Times Cited: 8
MDD-ShipNet: Math-Data Integrated Defogging for Fog-Occlusion Ship Detection
Ning Wang, Yuanyuan Wang, Yuan Feng, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 10, pp. 15040-15052
Closed Access | Times Cited: 8
Towards regulatory generative AI in ophthalmology healthcare: a security and privacy perspective
Yueye Wang, Chi Liu, Keyao Zhou, et al.
British Journal of Ophthalmology (2024) Vol. 108, Iss. 10, pp. 1349-1353
Closed Access | Times Cited: 7
The effectiveness of personalised food choice advice tailored to an individual's socio-demographic, cognitive characteristics, and sensory preferences
Raluca A. Briazu, Linda Theriault Bell, Georgina F. Dodd, et al.
Appetite (2024) Vol. 201, pp. 107600-107600
Open Access | Times Cited: 7
Challenges of Using Synthetic Data Generation Methods for Tabular Microdata
Marko Miletic, Murat Sariyar
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 5975-5975
Open Access | Times Cited: 6
Accelerating AI for science: open data science for science
Neil D. Lawrence, Jessica Montgomery
Royal Society Open Science (2024) Vol. 11, Iss. 8
Open Access | Times Cited: 5
Generating unseen diseases patient data using ontology enhanced generative adversarial networks
Chang Sun, Michel Dumontier
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Generating Synthetic Medical Dataset Using Generative AI: A Case Study
Partha Pratim Ray
(2025), pp. 259-273
Closed Access
Leveraging synthetic data to tackle machine learning challenges in supply chains: challenges, methods, applications, and research opportunities
Y. F. Long, Sebastian Kroeger, Michael F. Zaeh, et al.
International Journal of Production Research (2025), pp. 1-22
Open Access
Tempered enthusiasm by interviewed experts for synthetic data and ELSI checklists for AI in medicine
Laura Y. Cabrera, Jennifer K. Wagner, Sara Gerke, et al.
AI and Ethics (2025)
Open Access
Challenges of online surveys and synthetic data in achieving reproducibility in public health research: echoes of the “rise of the machines”
Elena N. Naumova
Journal of Public Health Policy (2025)
Open Access
Deep Learning for Risky Cardiovascular and Cerebrovascular Event Prediction in Hypertensive Patients
Francesco Goretti, Ali Hamza Salman, Alessandra Cartocci, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1178-1178
Open Access
Explaining Biomarker Response to Anticoagulant Therapy in Atrial Fibrillation: A Study of Warfarin and Rivaroxaban with Machine Learning Models
Adriano Veloso, Gianlucca Zuin, Laureen Sena
Lecture notes in computer science (2025), pp. 475-487
Closed Access
Evaluating GPT models for clinical note de-identification
Bayan Altalla’, S. Abdalla, Ahmad Mousa Altamimi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Foundation Models in Radiology: What, How, Why, and Why Not
Magdalini Paschali, Zhihong Chen, Louis Blankemeier, et al.
Radiology (2025) Vol. 314, Iss. 2
Closed Access
Explainable evaluation of generative adversarial networks for wearables data augmentation
Sara Narteni, Vanessa Orani, Enrico Ferrari, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110133-110133
Open Access
How good is your synthetic data? SynthRO, a dashboard to evaluate and benchmark synthetic tabular data
Gabriele Santangelo, Giovanna Nicora, Riccardo Bellazzi, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
“Conversing” With Qualitative Data: Enhancing Qualitative Research Through Large Language Models (LLMs)
Adam Hayes
International Journal of Qualitative Methods (2025) Vol. 24
Open Access
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