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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 Transfer Learning Based on Domain Adaptation for Benign-Malignant Lung Nodule Classification on Thoracic CT
Hong Huang, Ruoyu Wu, Yuan Li, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 8, pp. 3860-3871
Closed Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Effective lung nodule detection using deep CNN with dual attention mechanisms
Zia Urrehman, Yan Qiang, Long Wang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 21
A survey on cancer detection via convolutional neural networks: Current challenges and future directions
Pallabi Sharma, Deepak Ranjan Nayak, Bunil Kumar Balabantaray, et al.
Neural Networks (2023) Vol. 169, pp. 637-659
Closed Access | Times Cited: 32
Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques
Anirudh Atmakuru, Subrata Chakraborty, Oliver Faust, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124665-124665
Closed Access | Times Cited: 8
Deep learning paradigms in lung cancer diagnosis: A methodological review, open challenges, and future directions
Aryan Nikul Patel, Kathiravan Srinivasan
Physica Medica (2025) Vol. 131, pp. 104914-104914
Closed Access | Times Cited: 1
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
MSSFN: A multi-scale sequence fusion network for ct-based diagnosis of pulmonary complications
Hongfu Zeng, Xinyu Li, Haipeng Xu, et al.
Neurocomputing (2025), pp. 129878-129878
Closed Access
From Silos to Synthesis: A comprehensive review of domain adaptation strategies for multi-source data integration in healthcare
Shelia Rahman, Sima Ranjbari, Alper Murat, et al.
Computers in Biology and Medicine (2025) Vol. 191, pp. 110108-110108
Closed Access
Self-supervised transfer learning framework driven by visual attention for benign–malignant lung nodule classification on chest CT
Ruoyu Wu, Changyu Liang, Yuan Li, et al.
Expert Systems with Applications (2022) Vol. 215, pp. 119339-119339
Closed Access | Times Cited: 21
Advanced deep learning and large language models: Comprehensive insights for cancer detection
Yassine Habchi, Hamza Kheddar, Yassine Himeur, et al.
Image and Vision Computing (2025), pp. 105495-105495
Closed Access
Ensemble framework based on attributes and deep features for benign-malignant classification of lung nodule
Jianping Qiao, Yanling Fan, Mowen Zhang, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104217-104217
Closed Access | Times Cited: 14
RAD-UNet: Research on an improved lung nodule semantic segmentation algorithm based on deep learning
Zezhi Wu, Xiaoshu Li, Jianhui Zuo
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 8
Automatic classification of pulmonary nodules in computed tomography images using pre-trained networks and bag of features
Thiago Lima, Daniel Luz, Antônio Oseas, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 27, pp. 42977-42993
Open Access | Times Cited: 8
S3-Net: A Self-Supervised Dual-Stream Network for Radiology Report Generation
Renjie Pan, Ruisheng Ran, Wei Hu, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 3, pp. 1448-1459
Closed Access | Times Cited: 8
3D multi‐view squeeze‐and‐excitation convolutional neural network for lung nodule classification
Yang Yang, Xiaoqin Li, Jipeng Fu, et al.
Medical Physics (2023) Vol. 50, Iss. 3, pp. 1905-1916
Closed Access | Times Cited: 7
MITER: Medical Image–TExt joint adaptive pretRaining with multi-level contrastive learning
Chang Shu, Yi Zhu, X. Tang, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121526-121526
Open Access | Times Cited: 7
Usefulness of longitudinal nodule-matching algorithm in computer-aided diagnosis of new pulmonary metastases on cancer surveillance CT scans
Sung Hyun Yoon, Dong Yul Oh, Hyo Jin Kim, et al.
Quantitative Imaging in Medicine and Surgery (2024) Vol. 14, Iss. 2, pp. 1493-1506
Open Access | Times Cited: 2
基于双路径交叉融合网络的肺结节CT图像分类方法
杨萍 Yang Ping, 张鑫 Zhang Xin, 温帆 Wen Fan, et al.
Laser & Optoelectronics Progress (2024) Vol. 61, Iss. 8, pp. 0837002-0837002
Open Access | Times Cited: 2
3D unsupervised anomaly detection through virtual multi-view projection and reconstruction: Clinical validation on low-dose chest computed tomography
Kyungsu Kim, Seong Je Oh, Ju Hwan Lee, et al.
Expert Systems with Applications (2023) Vol. 236, pp. 121165-121165
Open Access | Times Cited: 6
Optimizing Knowledge Transfer in Sequential Models: Leveraging Residual Connections in Flow Transfer Learning for Lung Cancer Classification
Richa Sharma, Santosh Kumar, Abhishek Shrivastava, et al.
(2023), pp. 1-8
Closed Access | Times Cited: 6
Masked Spectral Bands Modeling With Shifted Windows: An Excellent Self-Supervised Learner for Classification of Medical Hyperspectral Images
Yuan Li, Ruoyu Wu, Qijuan Tan, et al.
IEEE Signal Processing Letters (2023) Vol. 30, pp. 543-547
Closed Access | Times Cited: 5
Multi-kernel driven 3D convolutional neural network for automated detection of lung nodules in chest CT scans
Ruoyu Wu, Changyu Liang, Jiuquan Zhang, et al.
Biomedical Optics Express (2023) Vol. 15, Iss. 2, pp. 1195-1195
Open Access | Times Cited: 5
Classification of benign and malignant pulmonary nodule based on local-global hybrid network
Xin Zhang, Ping Yang, Ji Feng Tian, et al.
Journal of X-Ray Science and Technology (2024) Vol. 32, Iss. 3, pp. 689-706
Closed Access | Times Cited: 1
Diagnostic performance of a deep learning-based method in differentiating malignant from benign subcentimeter (≤10 mm) solid pulmonary nodules
Jianing Liu, Linlin Qi, Yawen Wang, et al.
Journal of Thoracic Disease (2023) Vol. 15, Iss. 10, pp. 5475-5484
Open Access | Times Cited: 4
Deep Learning-Based Self-Supervised Transfer Learning for Medical Image Classification
Mubeen Shaikh, Samender Singh, Neeraj Varshney, et al.
(2024), pp. 693-698
Closed Access | Times Cited: 1
Beyond Supervised: The Rise of Self-Supervised Learning in Autonomous Systems
Hamed Taherdoost
Information (2024) Vol. 15, Iss. 8, pp. 491-491
Open Access | Times Cited: 1
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