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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 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

Showing 25 citing articles:

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
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
CM-SegNet: A deep learning-based automatic segmentation approach for medical images by combining convolution and multilayer perceptron
Wenyu Xing, Zhibin Zhu, Dongni Hou, et al.
Computers in Biology and Medicine (2022) Vol. 147, pp. 105797-105797
Closed Access | Times Cited: 26
Applications of deep learning in disease diagnosis of chest radiographs: A survey on materials and methods
Sudipta Modak, Esam Abdel‐Raheem, Luis Rueda
Biomedical Engineering Advances (2023) Vol. 5, pp. 100076-100076
Open Access | Times Cited: 10
Lung cancer classification and identification framework with automatic nodule segmentation screening using machine learning
Mohammad H. Alshayeji, Sa’ed Abed
Applied Intelligence (2023) Vol. 53, Iss. 16, pp. 19724-19741
Closed Access | Times Cited: 8
Classification of Benign and Malignancy in Lung Cancer Using Capsule Networks with Dynamic Routing Algorithm on Computed Tomography Images
A. R. Bushara, Vinod Kumar R. S., S. S. Kumar
Journal of Artificial Intelligence and Technology (2023)
Open Access | Times Cited: 7
Automatic lung cancer detection using hybrid particle snake swarm optimization with optimized mask RCNN
Sudha Radhika, K.M. Uma Maheswari
Multimedia Tools and Applications (2024) Vol. 83, Iss. 31, pp. 76807-76831
Closed Access | Times Cited: 2
Lung Cancer Detection Using Image Processing Technique Through Deep Learning Algorithm
Prasath Sivasankaran, Karthiga Rani Dhanaraj
Revue d intelligence artificielle (2024) Vol. 38, Iss. 1, pp. 297-302
Open Access | Times Cited: 2
PSO-PSP-Net + InceptionV3: An optimized hyper-parameter tuned Computer-Aided Diagnostic model for liver tumor detection using CT scan slices
Jaspreet Kaur, Prabhpreet Kaur
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106442-106442
Closed Access | Times Cited: 2
Multi-scale detection of pulmonary nodules by integrating attention mechanism
Zhenguan Cao, Rui Li, Xun Yang, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4
A Comprehensive Review on the Application of 3D Convolutional Neural Networks in Medical Imaging
Satyam Tiwari, Goutam Jain, Dasharathraj K Shetty, et al.
(2023), pp. 3-3
Open Access | Times Cited: 4
Research on Key Algorithms of the Lung CAD System Based on Cascade Feature and Hybrid Swarm Intelligence Optimization for MKL‐SVM
Jiayue Chang, Yang Li, Hewei Zheng
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 10
An Improved Archimedes Optimization-aided Multi-scale Deep Learning Segmentation with dilated ensemble CNN classification for detecting lung cancer using CT images
Shalini Chowdary, Shyamala Bharathi Purushotaman
Network Computation in Neural Systems (2024), pp. 1-39
Closed Access
Unravelling the Mysteries of Lung Cancer: Harnessing the Power of Deep Learning for Detection and Classification
M. Dhayalini, Revathi Balasundaram
(2024) Vol. 15, pp. 1-6
Closed Access
An effective accurate lung nodule detection of CT images using extensible hunt optimization based deep CNN
Rama Vaibhav Kaulgud, Arun Angelo Patil
Web Intelligence (2024), pp. 1-20
Closed Access
An intelligent lung nodule segmentation framework for early detection of lung cancer using an optimized deep neural system
Manikanth Budati, Rajasekhar Karumuri
Multimedia Tools and Applications (2023) Vol. 83, Iss. 12, pp. 34153-34174
Closed Access | Times Cited: 1
An efficient lung nodule detection model using multiscale hybrid 2D-3D dilation assisted adaptive Trans-Res-Unet++ with hybrid heuristic mechanism
Pavan Kumar Illa
Biomedical Signal Processing and Control (2023) Vol. 90, pp. 105849-105849
Closed Access | Times Cited: 1
Lung cancer detection using novel residual unity AlexNet-based optimized mish dropout-deep convolutional neural network
Thappeta Praveen Kumar Reddy, P. Shyamala Bharathi
Soft Computing (2023)
Closed Access
A Study on Lung Cancer Detection in CT Images Using Medical Image processing with Deep Learning Techniques
D. E. Mariana Jaincy, Prasanthi
Advances in computer science research (2023), pp. 8-14
Open Access
A novel two-stage deep learning model used to assist in diagnosing neonatal necrotizing enterocolitis and determining the need for surgical treatment
Guoqiang Qi, Jian Ding, Jing Li, et al.
Research Square (Research Square) (2023)
Open Access
Integration of adaptive segmentation with heuristic-aided novel ensemble-based deep learning model for lung cancer detection using CT images
Potti Nagaraja, Sumanth Kumar Chennupati
Intelligent Decision Technologies (2023) Vol. 17, Iss. 4, pp. 1135-1160
Closed Access
Utilizing Visual Geometry Group (VGG16) and InceptionV3 convolutional Neural Network (CNN) models for accurate diagnosis of lung cancer: an Artificial Intelligence (AI)-based approach
Meesala Sravani, Meesala Krishna Murthy, Satish Muppidi
Multimedia Tools and Applications (2023) Vol. 83, Iss. 19, pp. 57477-57494
Closed Access
A Comprehensive Review of Machine Learning Techniques for Lung Cancer Detection
Ambuj Kumar Agarwal, Himani Maheshwari, Raj Gaurang Tiwari, et al.
(2023), pp. 623-627
Closed Access
Deep Learning Techniques for Lung Cancer Detection: A Systematic Literature Review
Sabilla Halimatus Mahmud, Indah Soesanti, Rudy Hartanto
2022 5th International Conference on Information and Communications Technology (ICOIACT) (2023), pp. 200-205
Closed Access
Practice toward standardized performance testing of computer-aided detection algorithms for pulmonary nodule
Hao Wang, Na Tang, Chao Zhang, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access
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