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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:

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

Showing 11 citing articles:

Medical assisted-segmentation system based on global feature and stepwise feature integration for feature loss problem
Zhitao Huang, Ziqiang Ling, Fangfang Gou, et al.
Biomedical Signal Processing and Control (2023) Vol. 89, pp. 105814-105814
Closed 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
Multi-axis transformer based U-Net with class balanced ensemble model for lung disease classification using X-ray images
Suresh Maruthai, Tamilvizhi Thanarajan, T. Ramesh, et al.
Journal of X-Ray Science and Technology (2025)
Closed Access
Enhancing Lung Nodule Classification: A Novel CViEBi-CBGWO Approach with Integrated Image Preprocessing
J Manikandan, K Jayashree
Deleted Journal (2024) Vol. 37, Iss. 5, pp. 2108-2125
Closed Access | Times Cited: 3
A user-friendly deep learning application for accurate lung cancer diagnosis
Dương Thanh Tài, Nguyen Tan Nhu, Phạm Anh Tuấn, et al.
Journal of X-Ray Science and Technology (2024) Vol. 32, Iss. 3, pp. 611-622
Closed Access | Times Cited: 3
A survey on comparative study of lung nodules applying machine learning and deep learning techniques
K. Vino Aishwarya, A. Asuntha
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 2
Development of 3DTDUnet++ with novel function and multi-scale dilated-based deep learning model for lung cancer diagnosis using CT images
S. Sridevi, A. RajivKannan
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106243-106243
Closed Access | Times Cited: 1
Expressive feature representation pyramid network for pulmonary nodule detection
Haochen Zhang, Shuai Zhang, Liyin Xing, et al.
Multimedia Systems (2024) Vol. 30, Iss. 6
Closed Access | Times Cited: 1
Finite element method and hybrid deep learning approaches: high-accuracy lung cancer detection model
Suhad Jasim Khalefa
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 3, pp. 3017-3029
Closed Access
Enhancing Early Lung Cancer Detection using Deep Learning Techniques
Harsh Badaya, Shruti Mishra, Sandeep Kumar Satapathy, et al.
(2024), pp. 82-88
Closed Access
Dlctlungdetectnet: Deep Learning for Lung Tumor Detection in Ct Scans
Seema Babusing Rathod, Lata Ragha
(2023)
Closed Access | Times Cited: 1
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