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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:

NODULe: Combining constrained multi-scale LoG filters with densely dilated 3D deep convolutional neural network for pulmonary nodule detection
Junjie Zhang, Yong Xia, Haoyue Zeng, et al.
Neurocomputing (2018) Vol. 317, pp. 159-167
Closed Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

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
Convolutional neural networks for medical image analysis: State-of-the-art, comparisons, improvement and perspectives
Hang Yu, Laurence T. Yang, Qingchen Zhang, et al.
Neurocomputing (2021) Vol. 444, pp. 92-110
Closed Access | Times Cited: 259
Deep Learning for Lung Cancer Nodules Detection and Classification in CT Scans
Diego Riquelme, Moulay A. Akhloufi
AI (2020) Vol. 1, Iss. 1, pp. 28-67
Open 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: 127
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 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
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
An attentive and adaptive 3D CNN for automatic pulmonary nodule detection in CT image
Dandan Zhao, Yang Liu, Hongpeng Yin, et al.
Expert Systems with Applications (2022) Vol. 211, pp. 118672-118672
Closed Access | Times Cited: 36
Two-stage lung nodule detection framework using enhanced UNet and convolutional LSTM networks in CT images
S. Akila Agnes, J. Anitha, A.A. Solomon
Computers in Biology and Medicine (2022) Vol. 149, pp. 106059-106059
Closed Access | Times Cited: 36
Res-trans networks for lung nodule classification
Dongxu Liu, Fenghui Liu, Yun Tie, et al.
International Journal of Computer Assisted Radiology and Surgery (2022) Vol. 17, Iss. 6, pp. 1059-1068
Closed Access | Times Cited: 30
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
Deep Learning in Thoracic Oncology: Meta-Analytical Insights into Lung Nodule Early-Detection Technologies
Tingwei Wang, Chih-Keng Wang, Jia‐Sheng Hong, et al.
Cancers (2025) Vol. 17, Iss. 4, pp. 621-621
Open Access
Deep Learning Innovations in the Detection of Lung Cancer: Advances, Trends, and Open Challenges
Helena Liz, Áurea Anguera de Sojo-Hernández, Sergio D’Antonio Maceiras, et al.
Cognitive Computation (2025) Vol. 17, Iss. 2
Open Access
Lung Nodule Classification on Computed Tomography Images Using Deep Learning
Amrita Naik, Damodar Reddy Edla
Wireless Personal Communications (2020) Vol. 116, Iss. 1, pp. 655-690
Closed Access | Times Cited: 47
Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection
Sunyi Zheng, Jiapan Guo, Xiaonan Cui, et al.
IEEE Transactions on Medical Imaging (2019) Vol. 39, Iss. 3, pp. 797-805
Open Access | Times Cited: 43
Attention-embedded complementary-stream CNN for false positive reduction in pulmonary nodule detection
Lingma Sun, Zhuoran Wang, Hong Pu, et al.
Computers in Biology and Medicine (2021) Vol. 133, pp. 104357-104357
Closed Access | Times Cited: 33
Deep convolutional neural networks for multiplanar lung nodule detection: Improvement in small nodule identification
Sunyi Zheng, L. J. Cornelissen, Xiaonan Cui, et al.
Medical Physics (2020) Vol. 48, Iss. 2, pp. 733-744
Open Access | Times Cited: 38
Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program
Xiaonan Cui, Sunyi Zheng, Marjolein A. Heuvelmans, et al.
European Journal of Radiology (2021) Vol. 146, pp. 110068-110068
Open Access | Times Cited: 27
Analysis based on machine and deep learning techniques for the accurate detection of lung nodules from CT images
Rama Vaibhav Kaulgud, Arun Angelo Patil
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 105055-105055
Closed Access | Times Cited: 11
Classification of lung cancer computed tomography images using a 3-dimensional deep convolutional neural network with multi-layer filter
Ebtasam Ahmad Siddiqui, Vijayshri Chaurasia, Madhu Shandilya
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 13, pp. 11279-11294
Closed Access | Times Cited: 11
Pulmonary Nodule Detection, Segmentation and Classification Using Deep Learning: A Comprehensive Literature Review
Ioannis Marinakis, Konstantinos Κarampidis, Giorgos Papadourakis
BioMedInformatics (2024) Vol. 4, Iss. 3, pp. 2043-2106
Open Access | Times Cited: 3
Hybrid Automatic Lung Segmentation on Chest CT Scans
Tao Peng, Thomas Canhao Xu, Yihuai Wang, et al.
IEEE Access (2020) Vol. 8, pp. 73293-73306
Open Access | Times Cited: 29
A novel deep learning framework for lung nodule detection in 3d CT images
Reza Majidpourkhoei, Mehdi Alilou, Kambiz Majidzadeh, et al.
Multimedia Tools and Applications (2021) Vol. 80, Iss. 20, pp. 30539-30555
Closed Access | Times Cited: 25
Lung Nodule Classification on Computed Tomography Images Using Fractalnet
Amrita Naik, Damodar Reddy Edla, Venkatanareshbabu Kuppili
Wireless Personal Communications (2021)
Closed Access | Times Cited: 22
Using a Noisy U-Net for Detecting Lung Nodule Candidates
Wenkai Huang, Lingkai Hu
IEEE Access (2019) Vol. 7, pp. 67905-67915
Open Access | Times Cited: 25
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