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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 in machine learning for medicine and healthcare
Richard J. Chen, Ming Lu, Tiffany Chen, et al.
Nature Biomedical Engineering (2021) Vol. 5, Iss. 6, pp. 493-497
Open Access | Times Cited: 471

Showing 1-25 of 471 citing articles:

Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration
Fiona Fui‐Hoon Nah, Ruilin Zheng, Jingyuan Cai, et al.
Journal of Information Technology Case and Application Research (2023) Vol. 25, Iss. 3, pp. 277-304
Open Access | Times Cited: 540
Significance of machine learning in healthcare: Features, pillars and applications
Mohd Javaid, Abid Haleem, Ravi Pratap Singh, et al.
International Journal of Intelligent Networks (2022) Vol. 3, pp. 58-73
Open Access | Times Cited: 373
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
Laith Alzubaidi, Jinshuai Bai, Aiman Al-Sabaawi, et al.
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 331
Artificial intelligence for multimodal data integration in oncology
Jana Lipková, Richard J. Chen, Bowen Chen, et al.
Cancer Cell (2022) Vol. 40, Iss. 10, pp. 1095-1110
Open Access | Times Cited: 312
Diffusion models in medical imaging: A comprehensive survey
Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Moein Heidari, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102846-102846
Closed Access | Times Cited: 249
Artificial intelligence in histopathology: enhancing cancer research and clinical oncology
Artem Shmatko, Narmin Ghaffari Laleh, Moritz Gerstung, et al.
Nature Cancer (2022) Vol. 3, Iss. 9, pp. 1026-1038
Closed Access | Times Cited: 245
Shifting machine learning for healthcare from development to deployment and from models to data
Angela Zhang, Lei Xing, James Zou, et al.
Nature Biomedical Engineering (2022) Vol. 6, Iss. 12, pp. 1330-1345
Open Access | Times Cited: 234
Rapid single-particle chemical imaging of nanoplastics by SRS microscopy
Naixin Qian, Xin Gao, Xiaoqi Lang, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 3
Open Access | Times Cited: 163
Swarm learning for decentralized artificial intelligence in cancer histopathology
Oliver Lester Saldanha, Philip Quirke, Nicholas P. West, et al.
Nature Medicine (2022) Vol. 28, Iss. 6, pp. 1232-1239
Open Access | Times Cited: 146
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: 132
Denoising diffusion probabilistic models for 3D medical image generation
Firas Khader, Gustav Müller‐Franzes, Soroosh Tayebi Arasteh, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 120
Wearable artificial intelligence biosensor networks
Yihan Zhang, Yubing Hu, Nan Jiang, et al.
Biosensors and Bioelectronics (2022) Vol. 219, pp. 114825-114825
Open Access | Times Cited: 104
Generative adversarial networks and synthetic patient data: current challenges and future perspectives
Anmol Arora, Ananya Arora
Future Healthcare Journal (2022) Vol. 9, Iss. 2, pp. 190-193
Open Access | Times Cited: 93
Generative AI in Medical Practice: In-Depth Exploration of Privacy and Security Challenges
Yan Chen, Pouyan Esmaeilzadeh
Journal of Medical Internet Research (2024) Vol. 26, pp. e53008-e53008
Open Access | Times Cited: 92
Advancements and Challenges in Machine Learning: A Comprehensive Review of Models, Libraries, Applications, and Algorithms
Shahid Tufail, Hugo Riggs, Mohd Tariq, et al.
Electronics (2023) Vol. 12, Iss. 8, pp. 1789-1789
Open Access | Times Cited: 90
Large language models to identify social determinants of health in electronic health records
Marco Guevara-Vega, Shan Chen, Spencer A. Thomas, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 87
Modern views of machine learning for precision psychiatry
Zhe Chen, Prathamesh Kulkarni, Isaac R. Galatzer‐Levy, et al.
Patterns (2022) Vol. 3, Iss. 11, pp. 100602-100602
Open Access | Times Cited: 83
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: 83
Artificial intelligence for digital and computational pathology
Andrew H. Song, Guillaume Jaume, Drew F. K. Williamson, et al.
Nature Reviews Bioengineering (2023) Vol. 1, Iss. 12, pp. 930-949
Closed Access | Times Cited: 82
Deep learning for computational cytology: A survey
Hao Jiang, Yanning Zhou, Yi Lin, et al.
Medical Image Analysis (2022) Vol. 84, pp. 102691-102691
Open Access | Times Cited: 75
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: 69
Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment
Karen Drukker, Weijie Chen, Judy Wawira Gichoya, et al.
Journal of Medical Imaging (2023) Vol. 10, Iss. 06
Open Access | Times Cited: 61
An adversarial training framework for mitigating algorithmic biases in clinical machine learning
Jenny Yang, Andrew A. S. Soltan, David W. Eyre, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 57
Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications
Jin Li, Benjamin J. Cairns, Jingsong Li, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 46
An overview and a roadmap for artificial intelligence in hematology and oncology
Wiebke Rösler, Michael Altenbuchinger, Bettina Baeßler, et al.
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 10, pp. 7997-8006
Open Access | Times Cited: 45
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