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:

An efficient lung cancer detection using optimal SVM and improved weight based beetle swarm optimization
Nithya Venkatesan, S. Pasupathy, Balasubramanian Gobinathan
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105373-105373
Closed Access | Times Cited: 11

Showing 11 citing articles:

A novel Deep Learning architecture for lung cancer detection and diagnosis from Computed Tomography image analysis
Lavina Jean Crasta, Rupal Neema, Alwyn Roshan Pais
Healthcare Analytics (2024) Vol. 5, pp. 100316-100316
Open Access | Times Cited: 8

Optimized fuzzy K-nearest neighbor approach for accurate lung cancer prediction based on radial endobronchial ultrasonography
Jie Xing, Chengye Li, Peiliang Wu, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108038-108038
Closed Access | Times Cited: 6

Attention-guided CenterNet deep learning approach for lung cancer detection
Hussain Dawood, Marriam Nawaz, Muhammad Ilyas, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109613-109613
Closed Access

An Enhancing Diagnostic Pulmonary Diseases Diagnostic method for Differentiating Talaromycosis from Tuberculosis
Ying Zhou, Phoebe Lin, Linghui Xia, et al.
iScience (2025) Vol. 28, Iss. 2, pp. 111867-111867
Open Access

Automatic lung cancer detection from CT image using optimized Robust Deformed Convolutional Neural Network with TriHorn-Net
Chakradhar Reddy, M. V. D. Prasad
Expert Systems with Applications (2025), pp. 127124-127124
Closed Access

Transformative Advances in AI for Precise Cancer Detection: A Comprehensive Review of Non-Invasive Techniques
Hari Mohan, Joon Yoo, Serhii Dashkevych
Archives of Computational Methods in Engineering (2025)
Closed Access

A Novel Machine Learning Model for Efficacy Prediction of Immunotherapy-Chemotherapy in NSCLC Based on CT Radiomics
Chengye Li, Zhifeng Zhou, Lingxian Hou, et al.
Computers in Biology and Medicine (2024) Vol. 178, pp. 108638-108638
Closed Access | Times Cited: 2

Lung Cancer Prediction using Recurrent Residual Convolutional Neural Network and Long Short Term Memory
Elma Shrenitha, M Manvith Reddy, D U Sushanth, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1

Enhancing Lung Cancer Prediction: A Dual-Class Classification Approach with CNN and SVM
Gagan Singla, Chander Prabha, Prakash Srivastava, et al.
(2024), pp. 935-939
Closed Access

A novel lung cancer detection adopting Radiomic feature extraction with Locust assisted CS based CNN classifier
P. Lavanya, K. Vidhya
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107139-107139
Closed Access

An intelligent generative adversarial network multistage lung cancer detection and subtypes classification
Mattakoyya Aharonu, Lokesh Kumar Ramasamy
International Journal of Machine Learning and Cybernetics (2024)
Closed Access

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