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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:

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

Showing 1-25 of 128 citing articles:

Deep Learning Applications in Computed Tomography Images for Pulmonary Nodule Detection and Diagnosis: A Review
Rui Li, Chuda Xiao, Yongzhi Huang, et al.
Diagnostics (2022) Vol. 12, Iss. 2, pp. 298-298
Open Access | Times Cited: 90
On the Analyses of Medical Images Using Traditional Machine Learning Techniques and Convolutional Neural Networks
Saeed Iqbal, Adnan N. Qureshi, Jianqiang Li, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 5, pp. 3173-3233
Open Access | Times Cited: 78
Artificial Intelligence in Lung Cancer Screening: The Future Is Now
Michaela Cellina, Laura Maria Cacioppa, Maurizio Cè, et al.
Cancers (2023) Vol. 15, Iss. 17, pp. 4344-4344
Open Access | Times Cited: 51
Automated detection and forecasting of COVID-19 using deep learning techniques: A review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, et al.
Neurocomputing (2024) Vol. 577, pp. 127317-127317
Open Access | Times Cited: 46
Deep learning-based automatic segmentation of images in cardiac radiography: A promising challenge
Yucheng Song, Shengbing Ren, Yu Lu, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 220, pp. 106821-106821
Closed Access | Times Cited: 51
Artificial Intelligence in Lung Cancer Imaging: Unfolding the Future
Michaela Cellina, Maurizio Cè, Giovanni Irmici, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2644-2644
Open Access | Times Cited: 47
Lung nodule diagnosis and cancer histology classification from computed tomography data by convolutional neural networks: A survey
Selene Tomassini, Nicola Falcionelli, Paolo Sernani, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105691-105691
Open Access | Times Cited: 41
The importance of resource awareness in artificial intelligence for healthcare
Zhenge Jia, Jianxu Chen, Xiaowei Xu, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 7, pp. 687-698
Open Access | Times Cited: 35
Deep learning models for tuberculosis detection and infected region visualization in chest X-ray images
Vinayak Sharma, Nillmani, Sachin Kumar Gupta, et al.
Intelligent Medicine (2023) Vol. 4, Iss. 2, pp. 104-113
Open Access | Times Cited: 25
WS-LungNet: A two-stage weakly-supervised lung cancer detection and diagnosis network
Zhiqiang Shen, Peng Cao, Jinzhu Yang, et al.
Computers in Biology and Medicine (2023) Vol. 154, pp. 106587-106587
Closed Access | Times Cited: 23
New trend in artificial intelligence-based assistive technology for thoracic imaging
Masahiro Yanagawa, Rintaro Ito, Taiki Nozaki, et al.
La radiologia medica (2023) Vol. 128, Iss. 10, pp. 1236-1249
Open Access | Times Cited: 23
Deep learning for lungs cancer detection: a review
Rabia Javed, Tahir Abbas, Ali Haider Khan, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 11
Chest X-ray Images for Lung Disease Detection Using Deep Learning Techniques: A Comprehensive Survey
Mohammed A. A. Al‐qaness, Jie Zhu, Dalal AL-Alimi, et al.
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 6, pp. 3267-3301
Closed Access | Times Cited: 8
Artificial Intelligence: The Milestone in Modern Biomedical Research
Konstantina Athanasopoulou, Glykeria N. Daneva, Panagiotis G. Adamopoulos, et al.
BioMedInformatics (2022) Vol. 2, Iss. 4, pp. 727-744
Open Access | Times Cited: 36
Deep learning for the detection of benign and malignant pulmonary nodules in non-screening chest CT scans
Ward Hendrix, Nils Hendrix, Ernst T. Scholten, et al.
Communications Medicine (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 20
Cancer Prognosis and Diagnosis Methods Based on Ensemble Learning
Behrouz Zolfaghari, Leila Mirsadeghi, Khodakhast Bibak, et al.
ACM Computing Surveys (2023) Vol. 55, Iss. 12, pp. 1-34
Closed Access | Times Cited: 19
An ensemble method for the detection and classification of lung cancer using Computed Tomography images utilizing a capsule network with Visual Geometry Group
A. R. Bushara, R.S. Vinod Kumar, S. S. Kumar
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104930-104930
Closed Access | Times Cited: 19
The Effects of Artificial Intelligence Assistance on the Radiologists’ Assessment of Lung Nodules on CT Scans: A Systematic Review
Lotte Ewals, Kasper van der Wulp, Ben E.E.M. van den Borne, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 10, pp. 3536-3536
Open Access | Times Cited: 17
ALBAE feature extraction based lung pneumonia and cancer classification
M. Braveen, S. Nachiyappan, R Seetha, et al.
Soft Computing (2023) Vol. 28, Iss. S2, pp. 589-589
Open Access | Times Cited: 16
A Holistic Approach to Implementing Artificial Intelligence in Lung Cancer
Seyed Masoud HaghighiKian, Ahmad Shirinzadeh-Dastgiri, Mohammad Vakili-Ojarood, et al.
Indian Journal of Surgical Oncology (2024) Vol. 16, Iss. 1, pp. 257-278
Closed Access | Times Cited: 6
C-UQ: Conflict-based uncertainty quantification—A case study in lung cancer classification
Rahimi Zahari, Julie Cox, Bogusław Obara
Computers in Biology and Medicine (2025) Vol. 188, pp. 109825-109825
Open Access
Automatic Pulmonary Nodule Detection and Management System
Zhanlin Ji, Shengnan Hao, Jianhua Pang, et al.
WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE (2025) Vol. 22, pp. 190-199
Open Access
Diagnosis of Lung Cancer Using Endobronchial Ultrasonography Image Based on Multi-Scale Image and Multi-Feature Fusion Framework
Huitao Wang, Takahiro Nakajima, Kohei Shikano, et al.
Tomography (2025) Vol. 11, Iss. 3, pp. 24-24
Open Access
Deep Differential Lifelong Cross-modal Hashing for Stream Medical Data Retrieval
Liming Xu, Dengping Zhao, Hanqi Li, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2025)
Closed Access
Prediction of Lymph Node Metastasis in Lung Cancer Using Deep Learning of Endobronchial Ultrasound Images With Size on CT and PET‐CT Findings
Ji Eun Oh, Hyun Sung Chung, Hye Ran Gwon, et al.
Respirology (2025)
Open Access
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