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 Giuffrè, Dennis Shung
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 124

Showing 26-50 of 124 citing articles:

Application of GenAI in Synthetic Data Generation in the Healthcare System
Amirfarhad Farhadi, Alireza Taheri
(2025), pp. 67-89
Closed Access

Cities, communities and clinics can be testbeds for human exposome and aging research
Tina Woods, Nic Palmarini, Lynne Corner, et al.
Nature Medicine (2025)
Closed Access

Synthetic data generation: a privacy-preserving approach to accelerate rare disease research
Jorge M. Mendes, Aziz Barbar, Marwa Refaie
Frontiers in Digital Health (2025) Vol. 7
Open Access

Synthetic healthcare data utility with biometric pattern recognition using adversarial networks
Adil O. Khadidos, Hariprasath Manoharan, Alaa O. Khadidos, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Current Status and Future Directions: The Application of Artificial Intelligence/Machine Learning for Precision Medicine
Kunal Naik, Rahul K. Goyal, Luca Foschini, et al.
Clinical Pharmacology & Therapeutics (2023) Vol. 115, Iss. 4, pp. 673-686
Closed Access | Times Cited: 15

Open Science at the Generative AI Turn: An Exploratory Analysis of Challenges and Opportunities
Mohammad Hosseini, Serge P. J. M. Horbach, Kristi Holmes, et al.
(2024)
Open Access | Times Cited: 4

OpenSAFELY: A platform for analysing electronic health records designed for reproducible research
Linda Nab, Andrea L. Schaffer, William Hulme, et al.
Pharmacoepidemiology and Drug Safety (2024) Vol. 33, Iss. 6
Open Access | Times Cited: 4

Robustness in deep learning models for medical diagnostics: security and adversarial challenges towards robust AI applications
Haseeb Javed, Shaker El-Sappagh, Tamer Abuhmed
Artificial Intelligence Review (2024) Vol. 58, Iss. 1
Open Access | Times Cited: 4

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

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

Externally validated and clinically useful machine learning algorithms to support patient-related decision-making in oncology: a scoping review
Cleiton Ferreira dos Santos, Mário Amorim‐Lopes
BMC Medical Research Methodology (2025) Vol. 25, Iss. 1
Open Access

Privacy-preserving Framework for Automated Detection of Arrhythmia in ECG Data
Kacper Gil, Andres Véjar
Journal of Telecommunications and Information Technology (2025)
Open Access

Deep learning-based image analysis in muscle histopathology using photo-realistic synthetic data
Leonid Mill, Oliver Aust, Jochen A. Ackermann, et al.
Communications Medicine (2025) Vol. 5, Iss. 1
Open Access

Harnessing the Power of Deep Learning
Veeramalla Anitha, C. Kishor Kumar Reddy
Advances in computational intelligence and robotics book series (2025), pp. 313-354
Closed Access

Integrating artificial intelligence in drug discovery and early drug development: a transformative approach
Alberto Ocaña, Atanasio Pandiella, Cristian Privat, et al.
Biomarker Research (2025) Vol. 13, Iss. 1
Open Access

The Explanation and Sensitivity of AI Algorithms Supplied with Synthetic Medical Data
Dan Munteanu, Simona Moldovanu, Mihaela Miron
Electronics (2025) Vol. 14, Iss. 7, pp. 1270-1270
Open Access

Molecular insights fast-tracked: AI in biosynthetic pathway research
Lijuan Liao, Mengjun Xie, Xiaoshan Zheng, et al.
Natural Product Reports (2025)
Closed Access

Tabular transformer generative adversarial network for heterogeneous distribution in healthcare
Ha Ye Jin Kang, Minsam Ko, Kwang Sun Ryu
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Introducing an Artificial Neural Network for Virtually Increasing the Sample Size of Bioequivalence Studies
Dimitris Papadopoulos, Vangelis Karalis
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 2970-2970
Open Access | Times Cited: 3

Automated quality control of T1-weighted brain MRI scans for clinical research: methods comparison and design of a quality prediction classifier
Gaurav Vivek Bhalerao, Grace Gillis, M Dembélé, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3

Generating reality and silencing debate: Synthetic data as discursive device
Paula Helm, Benjamin Lipp, Roser Pujadas
Big Data & Society (2024) Vol. 11, Iss. 2
Open Access | Times Cited: 3

Generating Synthetic Data for Medical Imaging
Lennart R. Koetzier, Jie Wu, Domenico Mastrodicasa, et al.
Radiology (2024) Vol. 312, Iss. 3
Closed Access | Times Cited: 3

Virtual patient analysis identifies strategies to improve the performance of predictive biomarkers for PD-1 blockade
Theinmozhi Arulraj, Hanwen Wang, Atul Deshpande, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 45
Open Access | Times Cited: 3

Privacy-by-design generation of two virtual clinical trials in multiple sclerosis and their release as open datasets
Stanislas Demuth, Olivia Rousseau, Igor Faddeenkov, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 3

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