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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:

Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts
Hong-Yu Zhou, Chixiang Lu, Sibei Yang, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

End-to-End Reconstruction-Classification Learning for Face Forgery Detection
Junyi Cao, Chao Ma, Taiping Yao, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 4103-4112
Closed Access | Times Cited: 130
FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation
Wenxuan Wang, Jing Wang, Chen Chen, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 7845-7855
Open Access | Times Cited: 17
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
A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis
Hong-Yu Zhou, Chixiang Lu, Chaoqi Chen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023), pp. 1-16
Closed Access | Times Cited: 31
UNet-2022: Exploring Dynamics in Non-isomorphic Architecture
Jiansen Guo, Hong-Yu Zhou, Liansheng Wang, et al.
Lecture notes in electrical engineering (2023), pp. 465-476
Closed Access | Times Cited: 29
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images
Wei-Chien Wang, Euijoon Ahn, Dagan Feng, et al.
Deleted Journal (2023) Vol. 20, Iss. 4, pp. 483-513
Open Access | Times Cited: 24
SSiT: Saliency-Guided Self-Supervised Image Transformer for Diabetic Retinopathy Grading
Yijin Huang, Junyan Lyu, Pujin Cheng, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 5, pp. 2806-2817
Open Access | Times Cited: 10
Self-supervised learning for medical image analysis: Discriminative, restorative, or adversarial?
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, et al.
Medical Image Analysis (2024) Vol. 94, pp. 103086-103086
Closed Access | Times Cited: 8
UniMiSS: Universal Medical Self-supervised Learning via Breaking Dimensionality Barrier
Yutong Xie, Jianpeng Zhang, Yong Xia, et al.
Lecture notes in computer science (2022), pp. 558-575
Closed Access | Times Cited: 37
A survey of the impact of self-supervised pretraining for diagnostic tasks in medical X-ray, CT, MRI, and ultrasound
Blake VanBerlo, Jesse Hoey, Alexander Wong
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 7
VoCo: A Simple-Yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis
Linshan Wu, Jiaxin Zhuang, Hao Chen
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 35, pp. 22873-22882
Closed Access | Times Cited: 6
Self-supervised 3D Anatomy Segmentation Using Self-distilled Masked Image Transformer (SMIT)
Jue Jiang, Neelam Tyagi, Kathryn R. Tringale, et al.
Lecture notes in computer science (2022), pp. 556-566
Open Access | Times Cited: 24
Inter-frame residual frequency-based reconstruction learning for deep video frame interpolation detection
Yibin Xu, Hui Yang, Shan Bian, et al.
Expert Systems with Applications (2025), pp. 126416-126416
Closed Access
A self-supervised representation learning paradigm with global content perception and peritumoral context restoration for MRI breast tumor segmentation
Xianqi Meng, Hongwei Yu, Jingfan Fan, et al.
Biomedical Signal Processing and Control (2025) Vol. 107, pp. 107757-107757
Closed Access
Brain anatomy prior modeling to forecast clinical progression of cognitive impairment with structural MRI
Lintao Zhang, Jinjian Wu, Lihong Wang, et al.
Pattern Recognition (2025), pp. 111603-111603
Closed Access
Learning From Partially Labeled Data for Multi-Organ and Tumor Segmentation
Yutong Xie, Jianpeng Zhang, Yong Xia, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 45, Iss. 12, pp. 14905-14919
Open Access | Times Cited: 12
A knowledge-based learning framework for self-supervised pre-training towards enhanced recognition of biomedical microscopy images
Wei Chen, Chen Li, Dan Chen, et al.
Neural Networks (2023) Vol. 167, pp. 810-826
Open Access | Times Cited: 12
Continual Self-Supervised Learning: Towards Universal Multi-Modal Medical Data Representation Learning
Yiwen Ye, Yutong Xie, Jianpeng Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 114, pp. 11114-11124
Closed Access | Times Cited: 4
Benefit from public unlabeled data: A Frangi filter-based pretraining network for 3D cerebrovascular segmentation
Gen Shi, Lu Hao, Hui Hui, et al.
Medical Image Analysis (2025) Vol. 101, pp. 103442-103442
Closed Access
MuRCL: Multi-Instance Reinforcement Contrastive Learning for Whole Slide Image Classification
Zhonghang Zhu, Lequan Yu, Wei Wu, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 42, Iss. 5, pp. 1337-1348
Closed Access | Times Cited: 17
Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis
Yankai Jiang, Mingze Sun, Heng Guo, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 15813-15823
Open Access | Times Cited: 10
Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering
Duy M. H. Nguyen, Hoang Nguyen, Mai Thanh Nhat Truong, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 12, pp. 14426-14435
Open Access | Times Cited: 9
Stepwise incremental pretraining for integrating discriminative, restorative, and adversarial learning
Zuwei Guo, Nahid Ul Islam, Michael B. Gotway, et al.
Medical Image Analysis (2024) Vol. 95, pp. 103159-103159
Closed Access | Times Cited: 3
Mlip: Medical Language-Image Pre-Training With Masked Local Representation Learning
Jiarun Liu, Hong-Yu Zhou, Cheng Li, et al.
(2024), pp. 1-5
Open Access | Times Cited: 3
Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image Modeling Transformer for Ophthalmic Image Classification
Zhiyuan Cai, Lin Li, Huaqing He, et al.
Lecture notes in computer science (2022), pp. 88-98
Closed Access | Times Cited: 14
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