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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:

Big Self-Supervised Models Advance Medical Image Classification
Shekoofeh Azizi, Basil Mustafa, Fiona Ryan, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 3458-3468
Open Access | Times Cited: 415

Showing 1-25 of 415 citing articles:

Transformers in medical imaging: A survey
Fahad Shamshad, Salman Khan, Syed Waqas Zamir, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102802-102802
Open Access | Times Cited: 572
Recent advances and clinical applications of deep learning in medical image analysis
Xuxin Chen, Ximin Wang, Ke Zhang, et al.
Medical Image Analysis (2022) Vol. 79, pp. 102444-102444
Open Access | Times Cited: 538
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
Yucheng Tang, Dong Yang, Wenqi Li, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 20698-20708
Open Access | Times Cited: 427
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
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: 310
The Role of Artificial Intelligence in Early Cancer Diagnosis
Benjamin Hunter, Sumeet Hindocha, Richard W. Lee
Cancers (2022) Vol. 14, Iss. 6, pp. 1524-1524
Open Access | Times Cited: 186
Self-supervised learning methods and applications in medical imaging analysis: a survey
Saeed Shurrab, Rehab Duwairi
PeerJ Computer Science (2022) Vol. 8, pp. e1045-e1045
Open Access | Times Cited: 149
AUC Maximization in the Era of Big Data and AI: A Survey
Tianbao Yang, Yiming Ying
ACM Computing Surveys (2022) Vol. 55, Iss. 8, pp. 1-37
Open Access | Times Cited: 149
RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval
Xiyue Wang, Yuexi Du, Sen Yang, et al.
Medical Image Analysis (2022) Vol. 83, pp. 102645-102645
Closed Access | Times Cited: 125
Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging
Shekoofeh Azizi, Laura Culp, Jan Freyberg, et al.
Nature Biomedical Engineering (2023) Vol. 7, Iss. 6, pp. 756-779
Closed Access | Times Cited: 110
Self-supervised representation learning from 12-lead ECG data
Temesgen Mehari, Nils Strodthoff
Computers in Biology and Medicine (2021) Vol. 141, pp. 105114-105114
Open Access | Times Cited: 107
Deep multimodal fusion of image and non-image data in disease diagnosis and prognosis: a review
Can Cui, Haichun Yang, Yaohong Wang, et al.
Progress in Biomedical Engineering (2023) Vol. 5, Iss. 2, pp. 022001-022001
Open Access | Times Cited: 79
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging
Rui Yan, Liangqiong Qu, Qingyue Wei, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 7, pp. 1932-1943
Open Access | Times Cited: 74
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets
Mingu Kang, Heon Song, Seonwook Park, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 3344-3354
Open Access | Times Cited: 74
A holistic overview of deep learning approach in medical imaging
Rammah Yousef, Gaurav Gupta, Nabhan Yousef, et al.
Multimedia Systems (2022) Vol. 28, Iss. 3, pp. 881-914
Open Access | Times Cited: 71
Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians
Krishnamurthy Dvijotham, Jim Winkens, Melih Barsbey, et al.
Nature Medicine (2023) Vol. 29, Iss. 7, pp. 1814-1820
Open Access | Times Cited: 52
Masked Image Modeling Advances 3D Medical Image Analysis
Zekai Chen, Devansh Agarwal, K.K. Aggarwal, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 1969-1979
Open Access | Times Cited: 43
Vision Transformers for Computational Histopathology
Hongming Xu, Qi Xu, Fengyu Cong, et al.
IEEE Reviews in Biomedical Engineering (2023) Vol. 17, pp. 63-79
Closed Access | Times Cited: 41
Foundation model for cancer imaging biomarkers
Suraj Pai, Dennis Bontempi, Ibrahim Hadžić, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 3, pp. 354-367
Open Access | Times Cited: 32
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: 17
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: 16
Is it Time to Replace CNNs with Transformers for Medical Images?
Christos Matsoukas, Johan Fredin Haslum, Magnus Söderberg, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 91
CheXtransfer
Alexander Ke, William L. Ellsworth, Oishi Banerjee, et al.
(2021)
Open Access | Times Cited: 59
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 20792-20802
Open Access | Times Cited: 59
HyperNet: Self-Supervised Hyperspectral Spatial–Spectral Feature Understanding Network for Hyperspectral Change Detection
Meiqi Hu, Chen Wu, Liangpei Zhang
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-17
Open Access | Times Cited: 49
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