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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:

Evaluating Identity Disclosure Risk in Fully Synthetic Health Data: Model Development and Validation
Khaled El Emam, Lucy Mosquera, Jason Bass
Journal of Medical Internet Research (2020) Vol. 22, Iss. 11, pp. e23139-e23139
Open Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Synthetic data generation for tabular health records: A systematic review
Mikel Hernandez, Gorka Epelde, Ane Alberdi, et al.
Neurocomputing (2022) Vol. 493, pp. 28-45
Open Access | Times Cited: 146
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: 84
Synthetic data as an enabler for machine learning applications in medicine
Jean-François Rajotte, Robert V. Bergen, David L. Buckeridge, et al.
iScience (2022) Vol. 25, Iss. 11, pp. 105331-105331
Open Access | Times Cited: 70
Can synthetic data be a proxy for real clinical trial data? A validation study
Zahra Azizi, Chaoyi Zheng, Lucy Mosquera, et al.
BMJ Open (2021) Vol. 11, Iss. 4, pp. e043497-e043497
Open Access | Times Cited: 71
A Multifaceted benchmarking of synthetic electronic health record generation models
Chao Yan, Yao Yan, Zhiyu Wan, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 60
Utility Metrics for Evaluating Synthetic Health Data Generation Methods: Validation Study
Khaled El Emam, Lucy Mosquera, Xi Fang, et al.
JMIR Medical Informatics (2022) Vol. 10, Iss. 4, pp. e35734-e35734
Open Access | Times Cited: 43
Patient-centric synthetic data generation, no reason to risk re-identification in biomedical data analysis
Morgan Guillaudeux, Olivia Rousseau, Julien Petot, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 36
A Unified Framework for Quantifying Privacy Risk in Synthetic Data
M. Giomi, Franziska Boenisch, Christoph Wehmeyer, et al.
Proceedings on Privacy Enhancing Technologies (2023) Vol. 2023, Iss. 2, pp. 312-328
Open Access | Times Cited: 32
Preserving information while respecting privacy through an information theoretic framework for synthetic health data generation
Nadir Sella, Florent Guinot, Nikita Lagrange, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 1
Generating synthetic clinical data that capture class imbalanced distributions with generative adversarial networks: Example using antiretroviral therapy for HIV
Nicholas I-Hsien Kuo, Féderico García, Anders Sönnerborg, et al.
Journal of Biomedical Informatics (2023) Vol. 144, pp. 104436-104436
Open Access | Times Cited: 20
A method for generating synthetic longitudinal health data
Lucy Mosquera, Khaled El Emam, Lei Ding, et al.
BMC Medical Research Methodology (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 17
Evaluating the utility of synthetic COVID-19 case data
Khaled El Emam, Lucy Mosquera, Elizabeth Jonker, et al.
JAMIA Open (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 35
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
The Health Gym: synthetic health-related datasets for the development of reinforcement learning algorithms
Nicholas I-Hsien Kuo, Mark N. Polizzotto, Simon Finfer, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 21
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: 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: 4
SynDEc: A Synthetic Data Ecosystem
Fabian Karst, Mahei Manhai Li, Jan Marco Leimeister
Electronic Markets (2025) Vol. 35, Iss. 1
Open Access
Large language models generating synthetic clinical datasets: a feasibility and comparative analysis with real-world perioperative data
Austin A. Barr, Joshua Quan, Eddie Guo, et al.
Frontiers in Artificial Intelligence (2025) Vol. 8
Open Access
A Study On Synthesizing Electronic Health Record Data For Privacy Preservation
Tran Phuc Nhat, Nguyen Vo, Nhat Le
Journal of Physics Conference Series (2025) Vol. 2949, Iss. 1, pp. 012010-012010
Open Access
GenAI synthetic data create ethical challenges for scientists. Here’s how to address them.
David B. Resnik, Mohammad Hosseini, Jeff J. H. Kim, et al.
Proceedings of the National Academy of Sciences (2025) Vol. 122, Iss. 9
Open Access
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 D. Lautrup, Arthur Zimek, et al.
Discover Data (2025) Vol. 3, Iss. 1
Open Access
A Case for Synthetic Data in Regulatory Decision‐Making in Europe
Clara Alloza, Bethany Knox, Hanaya Raad, et al.
Clinical Pharmacology & Therapeutics (2023) Vol. 114, Iss. 4, pp. 795-801
Closed Access | Times Cited: 10
Generating Synthetic Training Data for Supervised De-Identification of Electronic Health Records
Claudia Alessandra Libbi, Jan Trienes, Dolf Trieschnigg, et al.
Future Internet (2021) Vol. 13, Iss. 5, pp. 136-136
Open Access | Times Cited: 21
Status of Synthetic Data Generation for Structured Health Data
Khaled El Emam
JCO Clinical Cancer Informatics (2023), Iss. 7
Open Access | Times Cited: 8
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