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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:

Validating a membership disclosure metric for synthetic health data
Khaled El Emam, Lucy Mosquera, Xi Fang
JAMIA Open (2022) Vol. 5, Iss. 4
Open Access | Times Cited: 23

Showing 23 citing articles:

Synthetic data generation: State of the art in health care domain
Hajra Murtaza, Musharif Ahmed, Naurin Farooq Khan, et al.
Computer Science Review (2023) Vol. 48, pp. 100546-100546
Closed Access | Times Cited: 82
A scoping review of privacy and utility metrics in medical synthetic data
Bayrem Kaabachi, Jérémie Despraz, Thierry Meurers, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 1
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: 12
An evaluation of the replicability of analyses using synthetic health data
Khaled El Emam, Lucy Mosquera, Xi Fang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Augmenting Insufficiently Accruing Oncology Clinical Trials Using Generative Models: Validation Study
Samer El Kababji, Nicholas Mitsakakis, Elizabeth Jonker, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e66821-e66821
Open Access
A systematic review of privacy-preserving techniques for synthetic tabular health data
Tobias Hyrup, Anton Danholt Lautrup, Arthur Zimek, et al.
Discover Data (2025) Vol. 3, Iss. 1
Open Access
A comparison of synthetic data generation and federated analysis for enabling international evaluations of cardiovascular health
Zahra Azizi, Simon David Lindner, Yumika Shiba, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11
Can We Trust Synthetic Data in Medicine? A Scoping Review of Privacy and Utility Metrics
Bayrem Kaabachi, Jérémie Despraz, Thierry Meurers, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 11
Examining the role of artificial intelligence to advance knowledge and address barriers to research in eating disorders
Mark L. Norris, Nicole Obeid, Khaled El Emam
International Journal of Eating Disorders (2024) Vol. 57, Iss. 6, pp. 1357-1368
Closed Access | Times Cited: 3
Evaluating the Utility and Privacy of Synthetic Breast Cancer Clinical Trial Data Sets
Samer El Kababji, Nicholas Mitsakakis, Xi Fang, et al.
JCO Clinical Cancer Informatics (2023), Iss. 7
Open Access | Times Cited: 10
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
Status of Synthetic Data Generation for Structured Health Data
Khaled El Emam
JCO Clinical Cancer Informatics (2023), Iss. 7
Open Access | Times Cited: 7
A Survey on Privacy of Personal and Non-Personal Data in B5G/6G Networks
Chamara Sandeepa, Bartlomiej Siniarski, Nicolas Kourtellis, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 10, pp. 1-37
Open Access | Times Cited: 1
Validation Assessment of Privacy‐Preserving Synthetic Electronic Health Record Data: Comparison of Original Versus Synthetic Data on Real‐World COVID‐19 Vaccine Effectiveness
E. Wang, Katrina Mott, Hongtao Zhang, et al.
Pharmacoepidemiology and Drug Safety (2024) Vol. 33, Iss. 10
Closed Access | Times Cited: 1
Preserving Information while Respecting Privacy: An Information Theoretic Framework for Synthetic Health Data Generation
Nadir Sella, Florent Guinot, Nikita Lagrange, et al.
Research Square (Research Square) (2024)
Open Access
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)
Closed Access
Données synthétiques en médecine : génération, évaluation et limites
Alaedine Benani, Julien Vibert, Stanislas Demuth
médecine/sciences (2024) Vol. 40, Iss. 8-9, pp. 661-664
Closed Access
Finnish perspective on using synthetic health data to protect privacy: the PRIVASA project
Tinja Pitkämäki, Tapio Pahikkala, Ileana Montoya Perez, et al.
Applied Computing and Intelligence (2024) Vol. 4, Iss. 2, pp. 138-163
Closed Access
Syntheval: a framework for detailed utility and privacy evaluation of tabular synthetic data
Anton Danholt Lautrup, Tobias Hyrup, Arthur Zimek, et al.
Data Mining and Knowledge Discovery (2024) Vol. 39, Iss. 1, pp. 1-25
Closed Access
ANONYMIZATION OF DATA USING BLOCKCHAIN TECHNOLOGY: A MODEL FOR DATA LIFECYCLE MANAGEMENT TO ENSURE TRANSPARENCY AND COMPLIANCE WITH GDPR
A. S. Pavliv
Komp'ûternì sistemi ta merežì (2024) Vol. 6, Iss. 2, pp. 173-182
Closed Access
ANONYMIZATION OF DATA USING BLOCKCHAIN TECHNOLOGY: A MODEL FOR DATA LIFECYCLE MANAGEMENT TO ENSURE TRANSPARENCY AND COMPLIANCE WITH GDPR
A. S. Pavliv
Komp'ûternì sistemi ta merežì (2024) Vol. 6, Iss. 2, pp. 179-188
Closed Access
Utilization of anonymization techniques to create an external control arm for clinical trial data
Juha Mehtälä, Mehreen Ali, Timo Miettinen, et al.
BMC Medical Research Methodology (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 1
A Privacy Nihilist’s Perspective on Clinical Data Sharing: Open Clinical Data Sharing is Dead, Long Live the Walled Garden
Justin Starren, Luke V. Rasmussen, Daniel Schneider, et al.
Journal of the Society for Clinical Data Management (2023) Vol. 3, Iss. 3
Open Access
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