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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:

Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT
Yutong Xie, Yong Xia, Jianpeng Zhang, et al.
IEEE Transactions on Medical Imaging (2018) Vol. 38, Iss. 4, pp. 991-1004
Open Access | Times Cited: 418

Showing 1-25 of 418 citing articles:

Attention Residual Learning for Skin Lesion Classification
Jianpeng Zhang, Yutong Xie, Yong Xia, et al.
IEEE Transactions on Medical Imaging (2019) Vol. 38, Iss. 9, pp. 2092-2103
Closed Access | Times Cited: 480
Deep Transfer Learning Based Classification Model for COVID-19 Disease
Yadunath Pathak, Prashant Kumar Shukla, Akhilesh Tiwari, et al.
IRBM (2020) Vol. 43, Iss. 2, pp. 87-92
Open Access | Times Cited: 416
Deep-learning framework to detect lung abnormality – A study with chest X-Ray and lung CT scan images
Abhir Bhandary, G. Ananth Prabhu, V. Rajinikanth, et al.
Pattern Recognition Letters (2019) Vol. 129, pp. 271-278
Open Access | Times Cited: 372
A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification
Yutong Xie, Jianpeng Zhang, Yong Xia, et al.
IEEE Transactions on Medical Imaging (2020) Vol. 39, Iss. 7, pp. 2482-2493
Open Access | Times Cited: 308
Deep learning-based multi-view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study
Xiangjun Wu, Hui Hui, Meng Niu, et al.
European Journal of Radiology (2020) Vol. 128, pp. 109041-109041
Open Access | Times Cited: 260
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: 227
Deep neural network correlation learning mechanism for CT brain tumor detection
Marcin Woźniak, Jakub Siłka, Michał Wieczorek
Neural Computing and Applications (2021) Vol. 35, Iss. 20, pp. 14611-14626
Open Access | Times Cited: 184
Semi-supervised adversarial model for benign–malignant lung nodule classification on chest CT
Yutong Xie, Jianpeng Zhang, Yong Xia
Medical Image Analysis (2019) Vol. 57, pp. 237-248
Closed Access | Times Cited: 168
LungNet: A hybrid deep-CNN model for lung cancer diagnosis using CT and wearable sensor-based medical IoT data
Nuruzzaman Faruqui, Mohammad Abu Yousuf, Md Whaiduzzaman, et al.
Computers in Biology and Medicine (2021) Vol. 139, pp. 104961-104961
Closed Access | Times Cited: 138
A survey of computer-aided diagnosis of lung nodules from CT scans using deep learning
Yu Gu, Jingqian Chi, Jiaqi Liu, et al.
Computers in Biology and Medicine (2021) Vol. 137, pp. 104806-104806
Closed Access | Times Cited: 128
Deep Learning Techniques to Diagnose Lung Cancer
Lulu Wang
Cancers (2022) Vol. 14, Iss. 22, pp. 5569-5569
Open Access | Times Cited: 107
Deep learning ensemble 2D CNN approach towards the detection of lung cancer
Asghar Ali Shah, Hafiz Abid Mahmood Malik, AbdulHafeez Muhammad, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 76
Medical Images Segmentation for Lung Cancer Diagnosis Based on Deep Learning Architectures
Yahia Said, Ahmed A. Alsheikhy, Tawfeeq Shawly, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 546-546
Open Access | Times Cited: 52
Efficient Lung Cancer Image Classification and Segmentation Algorithm Based on an Improved Swin Transformer
Ruina Sun, Yuexin Pang, Wenfa Li
Electronics (2023) Vol. 12, Iss. 4, pp. 1024-1024
Open Access | Times Cited: 42
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: 20
Artificial intelligence in lung cancer screening: Detection, classification, prediction, and prognosis
Wu Quanyang, Yao Huang, Sicong Wang, et al.
Cancer Medicine (2024) Vol. 13, Iss. 7
Open Access | Times Cited: 15
Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET
Inês Domingues, Gisèle Pereira, Pedro Martins, et al.
Artificial Intelligence Review (2019) Vol. 53, Iss. 6, pp. 4093-4160
Closed Access | Times Cited: 136
Rubik’s Cube+: A self-supervised feature learning framework for 3D medical image analysis
Jiuwen Zhu, Yuexiang Li, Yifan Hu, et al.
Medical Image Analysis (2020) Vol. 64, pp. 101746-101746
Closed Access | Times Cited: 135
Artificial intelligence and radiomics in pulmonary nodule management: current status and future applications
Sarim Ather, Timor Kadir, Fergus Gleeson
Clinical Radiology (2019) Vol. 75, Iss. 1, pp. 13-19
Open Access | Times Cited: 132
Thorax-Net: An Attention Regularized Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography
Hongyu Wang, Haozhe Jia, Le Lü, et al.
IEEE Journal of Biomedical and Health Informatics (2019) Vol. 24, Iss. 2, pp. 475-485
Closed Access | Times Cited: 124
Triple attention learning for classification of 14 thoracic diseases using chest radiography
Hongyu Wang, Shanshan Wang, Zibo Qin, et al.
Medical Image Analysis (2020) Vol. 67, pp. 101846-101846
Closed Access | Times Cited: 110
A novel hand-crafted with deep learning features based fusion model for COVID-19 diagnosis and classification using chest X-ray images
K. Shankar, Eswaran Perumal
Complex & Intelligent Systems (2020) Vol. 7, Iss. 3, pp. 1277-1293
Open Access | Times Cited: 104
Detection and Classification of Pulmonary Nodules Using Convolutional Neural Networks: A Survey
Patrice Monkam, Shouliang Qi, He Ma, et al.
IEEE Access (2019) Vol. 7, pp. 78075-78091
Open Access | Times Cited: 103
3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images
Haozhe Jia, Yong Xia, Yang Song, et al.
IEEE Transactions on Medical Imaging (2019) Vol. 39, Iss. 2, pp. 447-457
Closed Access | Times Cited: 103
Computer-Aided Cervical Cancer Diagnosis Using Time-Lapsed Colposcopic Images
Yuexiang Li, Jiawei Chen, Peng Xue, et al.
IEEE Transactions on Medical Imaging (2020) Vol. 39, Iss. 11, pp. 3403-3415
Closed Access | Times Cited: 101
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