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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:

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

Showing 11 citing articles:

Lung Cancer Classification using Optimized Attention-based Convolutional Neural Network with DenseNet-201 Transfer Learning Model on CT image
G Mohandass, G. Hari Krishnan, D. Selvaraj, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106330-106330
Closed Access | Times Cited: 16
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
Healthcare As a Service (HAAS): CNN-based cloud computing model for ubiquitous access to lung cancer diagnosis
Nuruzzaman Faruqui, Mohammad Abu Yousuf, Faris Kateb, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e21520-e21520
Open Access | Times Cited: 31
Quantum computational infusion in extreme learning machines for early multi-cancer detection
Anas Bilal, Muhammad Shafiq, Waeal J. Obidallah, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
Lung cancer computed tomography image classification using Attention based Capsule Network with dispersed dynamic routing
R. PARAMASIVAM, Sujata N. Patil, Srinivas Konda, et al.
Expert Systems (2024)
Closed Access | Times Cited: 3
Mitigating Diagnostic Errors in Lung Cancer Classification: A Multi-Eyes Principle to Uncertainty Quantification
Rahimi Zahari, Julie Cox, Bogusław Obara
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 11, pp. 6828-6839
Closed Access
A novel dense-net deep neural network with enhanced feature selection method for classification of different stages of tuberculosis using chest X-ray images
Mamta Patankar, Vijayshri Chaurasia, Madhu Shandilya
Multimedia Tools and Applications (2024)
Closed Access
A scoping review of deep learning approaches for lung cancer detection using chest radiographs and computed tomography scans
Michele Nguyen
Biomedical Engineering Advances (2024) Vol. 9, pp. 100138-100138
Open Access
Automated Lung Cancer Diagnosis Applying Butterworth Filtering, Bi-Level Feature Extraction, and Sparce Convolutional Neural Network to Luna 16 CT Images
Nasr Y. Gharaibeh, Roberto De Fazio, Bassam Al‐Naami, et al.
Journal of Imaging (2024) Vol. 10, Iss. 7, pp. 168-168
Open Access
An enhanced Garter Snake Optimization-assisted deep learning model for lung cancer segmentation and classification using CT images
Maloth Shekhar, Seetharam Khetavath
Journal of Medical Engineering & Technology (2024) Vol. 48, Iss. 4, pp. 121-150
Closed Access
A novel spiking neural network method for classification of tuberculosis using X-ray images
Mamta Patankar, Vijayshri Chaurasia, Madhu Shandilya
Computers & Electrical Engineering (2024) Vol. 122, pp. 110003-110003
Closed Access
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