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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:

Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, et al.
IEEE Transactions on Medical Imaging (2021) Vol. 40, Iss. 10, pp. 2857-2868
Open Access | Times Cited: 96

Showing 1-25 of 96 citing articles:

The Liver Tumor Segmentation Benchmark (LiTS)
Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, et al.
Medical Image Analysis (2022) Vol. 84, pp. 102680-102680
Open Access | Times Cited: 703
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
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: 151
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
Jie Liu, Yixiao Zhang, Jie-Neng Chen, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 21095-21107
Closed Access | Times Cited: 111
Generalized radiograph representation learning via cross-supervision between images and free-text radiology reports
Hong-Yu Zhou, Xiaoyu Chen, Yinghao Zhang, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 1, pp. 32-40
Open Access | Times Cited: 72
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification
Junfei Xiao, Yutong Bai, Alan Yuille, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 3577-3589
Open Access | Times Cited: 48
A medical multimodal large language model for future pandemics
Fenglin Liu, Tingting Zhu, Xian Wu, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 43
Hybrid Masked Image Modeling for 3D Medical Image Segmentation
Zhaohu Xing, Lei Zhu, Lequan Yu, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 4, pp. 2115-2125
Open Access | Times Cited: 30
Diagnosis of Alzheimer’s disease via an attention-based multi-scale convolutional neural network
Zhenbing Liu, Haoxiang Lu, Xipeng Pan, et al.
Knowledge-Based Systems (2021) Vol. 238, pp. 107942-107942
Closed Access | Times Cited: 67
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
SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection
Tiange Xiang, Yixiao Zhang, Yongyi Lu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 23890-23901
Open Access | Times Cited: 32
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
Self-supervised multi-task learning for medical image analysis
Huihui Yu, Qun Dai
Pattern Recognition (2024) Vol. 150, pp. 110327-110327
Closed Access | Times Cited: 11
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
Universal and extensible language-vision models for organ segmentation and tumor detection from abdominal computed tomography
Jie Liu, Yixiao Zhang, Kang Wang, et al.
Medical Image Analysis (2024) Vol. 97, pp. 103226-103226
Open Access | Times Cited: 8
Exploring Self-Supervised Learning for Disease Detection and Classification in Digital Pathology: A review
Abdulahi Mahammed Adem, Ravi Kant, S Sonia, et al.
Biomedical & Pharmacology Journal (2025) Vol. 18, Iss. December Spl Edition
Open Access | Times Cited: 1
A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis
Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Ruibin Feng, et al.
Lecture notes in computer science (2021), pp. 3-13
Open Access | Times Cited: 45
Slim UNETR: Scale Hybrid Transformers to Efficient 3D Medical Image Segmentation Under Limited Computational Resources
Yan Pang, Jiaming Liang, Teng Huang, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 43, Iss. 3, pp. 994-1005
Closed Access | Times Cited: 17
Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-training
Yuting He, Guanyu Yang, Rongjun Ge, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 9538-9547
Open Access | Times Cited: 16
QT-UNet: A Self-Supervised Self-Querying All-Transformer U-Net for 3D Segmentation
Andreas Hammer Håversen, Durga Prasad Bavirisetti, Gabriel Kiss, et al.
IEEE Access (2024) Vol. 12, pp. 62664-62676
Open Access | Times Cited: 7
Enhancing representation in radiography-reports foundation model: a granular alignment algorithm using masked contrastive learning
Weijian Huang, Cheng Li, Hong-Yu Zhou, et al.
Nature Communications (2024) Vol. 15, 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
Detection of COVID-19 features in lung ultrasound images using deep neural networks
Lingyi Zhao, Tiffany Fong, Muyinatu A. Lediju Bell
Communications Medicine (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 5
MCG-Net: Medical Chief Complaint-guided Multi-modal Masked Content Pre-training for chest image classification
Le Zou, Jun Li, Hao Chen, et al.
Expert Systems with Applications (2025), pp. 126660-126660
Closed Access
CDe: Focus on the Color Differences in Diabetic Foot Images
Yifan Wang, Xujie Gao, Haoqian Song, et al.
Lecture notes in computer science (2025), pp. 101-108
Closed Access
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