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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:

Self-supervised learning in medicine and healthcare
Rayan Krishnan, Pranav Rajpurkar, Eric J. Topol
Nature Biomedical Engineering (2022) Vol. 6, Iss. 12, pp. 1346-1352
Closed Access | Times Cited: 274

Showing 1-25 of 274 citing articles:

Foundation models for generalist medical artificial intelligence
Michael Moor, Oishi Banerjee, Zahra Shakeri Hossein Abad, et al.
Nature (2023) Vol. 616, Iss. 7956, pp. 259-265
Open Access | Times Cited: 626
A foundation model for generalizable disease detection from retinal images
Yukun Zhou, Mark A. Chia, Siegfried Wagner, et al.
Nature (2023) Vol. 622, Iss. 7981, pp. 156-163
Open Access | Times Cited: 230
The Current and Future State of AI Interpretation of Medical Images
Pranav Rajpurkar, Matthew P. Lungren
New England Journal of Medicine (2023) Vol. 388, Iss. 21, pp. 1981-1990
Closed Access | Times Cited: 189
Self-supervised learning for medical image classification: a systematic review and implementation guidelines
Shih-Cheng Huang, Anuj Pareek, Malte Jensen, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 135
A comparison review of transfer learning and self-supervised learning: Definitions, applications, advantages and limitations
Zehui Zhao, Laith Alzubaidi, Jinglan Zhang, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122807-122807
Open Access | Times Cited: 74
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: 69
Ten deep learning techniques to address small data problems with remote sensing
Anastasiia Safonova, Gohar Ghazaryan, Stefan Stiller, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 125, pp. 103569-103569
Open Access | Times Cited: 43
A guide to artificial intelligence for cancer researchers
Raquel Pérez-López, Narmin Ghaffari Laleh, Faisal Mahmood, et al.
Nature reviews. Cancer (2024) Vol. 24, Iss. 6, pp. 427-441
Closed Access | Times Cited: 42
Battery safety: Machine learning-based prognostics
Jingyuan Zhao, Xuning Feng, Quanquan Pang, et al.
Progress in Energy and Combustion Science (2024) Vol. 102, pp. 101142-101142
Open Access | Times Cited: 40
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images
Ming Y. Lu, Bowen Chen, Andrew Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 19764-19775
Open Access | Times Cited: 38
A pathology foundation model for cancer diagnosis and prognosis prediction
Xiyue Wang, Junhan Zhao, Eliana Marostica, et al.
Nature (2024) Vol. 634, Iss. 8035, pp. 970-978
Closed Access | Times Cited: 24
Foundation model for cancer imaging biomarkers
Suraj Pai, Dennis Bontempi, Ibrahim Hadžić, et al.
Nature Machine Intelligence (2024)
Open Access | Times Cited: 23
Mosaic integration and knowledge transfer of single-cell multimodal data with MIDAS
眞智子 平賀, Shuofeng Hu, Yaowen Chen, et al.
Nature Biotechnology (2024) Vol. 42, Iss. 10, pp. 1594-1605
Open Access | Times Cited: 20
Analysis of 3D pathology samples using weakly supervised AI
Andrew H. Song, Mane Williams, Drew F. K. Williamson, et al.
Cell (2024) Vol. 187, Iss. 10, pp. 2502-2520.e17
Open Access | Times Cited: 16
Trustworthy deep learning framework for the detection of abnormalities in X-ray shoulder images
Laith Alzubaidi, Asma Salhi, Mohammed A. Fadhel, et al.
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0299545-e0299545
Open Access | Times Cited: 14
Thermodynamic and Kinetic Regulation for Mg‐Based Hydrogen Storage Materials: Challenges, Strategies, and Perspectives
Hongyuan Wang, Jie Li, Xinlin Wei, et al.
Advanced Functional Materials (2024)
Closed Access | Times Cited: 13
Transforming the cardiometabolic disease landscape: Multimodal AI-powered approaches in prevention and management
Evan D. Muse, Eric J. Topol
Cell Metabolism (2024) Vol. 36, Iss. 4, pp. 670-683
Closed Access | Times Cited: 12
A comprehensive survey on deep active learning in medical image analysis
Haoran Wang, Qiuye Jin, Shiman Li, et al.
Medical Image Analysis (2024) Vol. 95, pp. 103201-103201
Open Access | Times Cited: 12
A comprehensive survey of deep learning research on medical image analysis with focus on transfer learning
Sema Atasever, Nuh Azgınoglu, Duygu Sinanç Terzi, et al.
Clinical Imaging (2022) Vol. 94, pp. 18-41
Closed Access | Times Cited: 51
Toward Explainable Artificial Intelligence for Precision Pathology
Frederick Klauschen, Jonas Dippel, Philipp Keyl, et al.
Annual Review of Pathology Mechanisms of Disease (2023) Vol. 19, Iss. 1, pp. 541-570
Open Access | Times Cited: 35
Artificial intelligence in liver cancers: Decoding the impact of machine learning models in clinical diagnosis of primary liver cancers and liver cancer metastases
Anita K. Bakrania, Narottam Joshi, Xun Zhao, et al.
Pharmacological Research (2023) Vol. 189, pp. 106706-106706
Open Access | Times Cited: 34
RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation
Xiangyu Zhao, Zengxin Qi, Sheng Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 1, pp. 251-261
Open Access | Times Cited: 30
Artificial Intelligence Co-Piloted Auditing
Hanchi Gu, Marco Schreyer, Kevin Moffitt, et al.
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 27
Machine Learning in Clinical Trials: A Primer with Applications to Neurology
Matthew I. Miller, Ludy C. Shih, Vijaya B. Kolachalama
Neurotherapeutics (2023) Vol. 20, Iss. 4, pp. 1066-1080
Open Access | Times Cited: 23
Artificial intelligence in salivary biomarker discovery and validation for oral diseases
John Adeoye, Yu‐Xiong Su
Oral Diseases (2023) Vol. 30, Iss. 1, pp. 23-37
Open Access | Times Cited: 21
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