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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:

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

Showing 1-25 of 82 citing articles:

Synthetic data generation methods in healthcare: A review on open-source tools and methods
Vasileios C. Pezoulas, Dimitrios I. Zaridis, Eugenia Mylona, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 2892-2910
Open Access | Times Cited: 23
Empowerment of AI algorithms in biochemical sensors
Zhongzeng Zhou, Tailin Xu, Xueji Zhang
TrAC Trends in Analytical Chemistry (2024) Vol. 173, pp. 117613-117613
Closed Access | Times Cited: 21
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: 18
Generative AI for synthetic data across multiple medical modalities: A systematic review of recent developments and challenges
Mahmoud K. Ibrahim, Yasmina Al Khalil, Sina Amirrajab, et al.
Computers in Biology and Medicine (2025) Vol. 189, pp. 109834-109834
Open Access | Times Cited: 3
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
Alhassan Mumuni, Fuseini Mumuni
Knowledge and Information Systems (2025)
Closed 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 RNN-Bi LSTM Based Multi Decision GAN Approach for the Recognition of Cardiovascular Disease (CVD) From Heart Beat Sound: A Feature Optimization Process
V. N. Manjunath Aradhya, K. Vidyasagar, S Rohith, et al.
IEEE Access (2024) Vol. 12, pp. 65482-65502
Open Access | Times Cited: 6
Comparative assessment of synthetic time series generation approaches in healthcare: leveraging patient metadata for accurate data synthesis
Imanol Isasa, Mikel Hernandez, Gorka Epelde, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 5
Merging synthetic and real embryo data for advanced AI predictions
Oriana Presacan, Alexandru Dorobanțiu, Vajira Thambawita, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Enhancing public research on citizen data: An empirical investigation of data synthesis using Statistics New Zealand’s Integrated Data Infrastructure
Alex X. Wang, Stefanka Chukova, Andrew Sporle, et al.
Information Processing & Management (2023) Vol. 61, Iss. 1, pp. 103558-103558
Open Access | Times Cited: 13
Privacy Distillation: Reducing Re-identification Risk of Diffusion Models
Virginia Fernandez, Pedro Sanchez, Walter Hugo Lopez Pinaya, et al.
Lecture notes in computer science (2024), pp. 3-13
Closed Access | Times Cited: 4
Generating Synthetic Medical Dataset Using Generative AI: A Case Study
Partha Pratim Ray
(2025), pp. 259-273
Closed Access
The Goldilocks Zone: Finding the right balance of user and institutional risk for suicide-related generative AI queries
Anna Van Meter, Michael G. Wheaton, Victoria E. Cosgrove, et al.
PLOS Digital Health (2025) Vol. 4, Iss. 1, pp. e0000711-e0000711
Open Access
Enhancing Skin Cancer Detection with Multimodal Data Integration: A Combined Approach Using Images and Clinical Notes
V. Chakkarapani, S. Poornapushpakala, S. Suresh
SN Computer Science (2025) Vol. 6, Iss. 1
Closed Access
Deep Learning for Risky Cardiovascular and Cerebrovascular Event Prediction in Hypertensive Patients
Francesco Goretti, Ali Salman, Alessandra Cartocci, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1178-1178
Open Access
Advanced Temporal Deep Learning Framework for Enhanced Predictive Modeling in Industrial Treatment Systems
S Ramya, S Srinath, Pushpa Tuppad
Results in Engineering (2025), pp. 104158-104158
Open 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
A novelty towards neural signatures − Unveiling the inter-subject distance metric for EEG-based motor imagery
Hajra Murtaza, Musharif Ahmed, Ghulam Murtaza, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107552-107552
Closed 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
Application of GenAI in Synthetic Data Generation in the Healthcare System
Amirfarhad Farhadi, Alireza Taheri
(2025), pp. 67-89
Closed 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
Improving mixed-integer temporal modeling by generating synthetic data using conditional generative adversarial networks: A case study of fluid overload prediction in the intensive care unit
Alireza Rafiei, Milad Ghiasi Rad, Andrea Sikora, et al.
Computers in Biology and Medicine (2023) Vol. 168, pp. 107749-107749
Open Access | Times Cited: 10
Prior-guided generative adversarial network for mammogram synthesis
Annie Julie Joseph, Priyansh Dwivedi, Jiffy Joseph, et al.
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105456-105456
Closed Access | Times Cited: 9
Generation of a Realistic Synthetic Laryngeal Cancer Cohort for AI Applications
Mika Katalinic, Martin Schenk, Stefan Franke, et al.
Cancers (2024) Vol. 16, Iss. 3, pp. 639-639
Open Access | Times Cited: 3
A multimodal framework for extraction and fusion of satellite images and public health data
Dana Moukheiber, David Restrepo, Sebastián Andrés Cajas, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 3
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