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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:

Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model
Quande Liu, Lequan Yu, Luyang Luo, et al.
IEEE Transactions on Medical Imaging (2020) Vol. 39, Iss. 11, pp. 3429-3440
Open Access | Times Cited: 245

Showing 1-25 of 245 citing articles:

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
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
A survey on incorporating domain knowledge into deep learning for medical image analysis
Xiaozheng Xie, Jianwei Niu, Xuefeng Liu, et al.
Medical Image Analysis (2021) Vol. 69, pp. 101985-101985
Open Access | Times Cited: 229
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan
Dong Yang, Ziyue Xu, Wenqi Li, et al.
Medical Image Analysis (2021) Vol. 70, pp. 101992-101992
Open Access | Times Cited: 210
Graph-Based Semi-Supervised Learning: A Comprehensive Review
Zixing Song, Xiangli Yang, Zenglin Xu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 11, pp. 8174-8194
Open Access | Times Cited: 166
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
LViT: Language Meets Vision Transformer in Medical Image Segmentation
Zihan Li, Yunxiang Li, Qingde Li, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 43, Iss. 1, pp. 96-107
Open Access | Times Cited: 110
A multimodal transformer to fuse images and metadata for skin disease classification
Gan Cai, Yu Zhu, Yue Wu, et al.
The Visual Computer (2022) Vol. 39, Iss. 7, pp. 2781-2793
Open Access | Times Cited: 82
Weakly supervised machine learning
Zeyu Ren, Shuihua Wang‎, Yudong Zhang
CAAI Transactions on Intelligence Technology (2023) Vol. 8, Iss. 3, pp. 549-580
Open Access | Times Cited: 82
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification
Fengbei Liu, Yu Tian, Yuanhong Chen, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 20665-20674
Open Access | Times Cited: 78
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
A Novel Vision Transformer Model for Skin Cancer Classification
Guang Yang, Suhuai Luo, Peter B. Greer
Neural Processing Letters (2023) Vol. 55, Iss. 7, pp. 9335-9351
Open Access | Times Cited: 42
A bird’s-eye view of deep learning in bioimage analysis
Erik Meijering
Computational and Structural Biotechnology Journal (2020) Vol. 18, pp. 2312-2325
Open Access | Times Cited: 116
Accurate recognition of colorectal cancer with semi-supervised deep learning on pathological images
Gang Yu, Kai Sun, Chao Xu, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 97
Deep Mining External Imperfect Data for Chest X-Ray Disease Screening
Luyang Luo, Lequan Yu, Hao Chen, et al.
IEEE Transactions on Medical Imaging (2020) Vol. 39, Iss. 11, pp. 3583-3594
Open Access | Times Cited: 75
Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT
Ke Yan, Jinzheng Cai, Youjing Zheng, et al.
IEEE Transactions on Medical Imaging (2020) Vol. 40, Iss. 10, pp. 2759-2770
Open Access | Times Cited: 73
Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels
Chu Han, Jiatai Lin, Jinhai Mai, et al.
Medical Image Analysis (2022) Vol. 80, pp. 102487-102487
Open Access | Times Cited: 65
FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis
Yu Feng, Benteng Ma, Jing Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 20844-20853
Open Access | Times Cited: 64
Medical Image Segmentation With Limited Supervision: A Review of Deep Network Models
Jialin Peng, Ye Wang
IEEE Access (2021) Vol. 9, pp. 36827-36851
Open Access | Times Cited: 60
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification With Chest X-Rays
Chengsheng Mao, Liang Yao, Yuan Luo
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 8, pp. 1990-2003
Open Access | Times Cited: 59
Semi-supervised segmentation of echocardiography videos via noise-resilient spatiotemporal semantic calibration and fusion
Huisi Wu, Jiasheng Liu, Fangyan Xiao, et al.
Medical Image Analysis (2022) Vol. 78, pp. 102397-102397
Closed Access | Times Cited: 45
Self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation
Sang Joon Park, Gwanghyun Kim, Yujin Oh, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 40
Generative adversarial network based data augmentation for CNN based detection of Covid-19
Rutwik Gulakala, Bernd Markert, Marcus Stoffel
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 38
Multi-scale representation attention based deep multiple instance learning for gigapixel whole slide image analysis
Hangchen Xiang, Junyi Shen, Qingguo Yan, et al.
Medical Image Analysis (2023) Vol. 89, pp. 102890-102890
Closed Access | Times Cited: 24
Physics-Informed Computer Vision: A Review and Perspectives
Chayan Banerjee, Kien Nguyen, Clinton Fookes, et al.
ACM Computing Surveys (2024) Vol. 57, Iss. 1, pp. 1-38
Open Access | Times Cited: 9
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