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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:

Intelligent deep learning algorithm for lung cancer detection and classification
N. Sudhir Reddy, V. Khanaa
Bulletin of Electrical Engineering and Informatics (2023) Vol. 12, Iss. 3, pp. 1747-1754
Open Access | Times Cited: 13

Showing 13 citing articles:

Enhancing Clinical Outcomes Using Deep Learning Solution for Accurate Lung Cancer Classification
Aditya Shastri, Yash Prajapati, Harsh Katariya, et al.
Sensing and Imaging (2025) Vol. 26, Iss. 1
Closed Access
Quantum-enhanced hybrid feature engineering in thoracic CT image analysis for state-of-the-art nodule classification: an advanced lung cancer assessment
Resham Raj Shivwanshi, Neelamshobha Nirala
Biomedical Physics & Engineering Express (2024) Vol. 10, Iss. 4, pp. 045005-045005
Closed Access | Times Cited: 2
An Automated Lion-Butterfly Optimization (LBO) based Stacking Ensemble Learning Classification (SELC) Model for Lung Cancer Detection
Swapna Rani S, V. Suganya, Selami Selvı, et al.
Iraqi Journal for Computer Science and Mathematics (2023), pp. 87-100
Open Access | Times Cited: 6
Convolutional neural network for assisting accuracy of personalized clavicle bone implant designs
Dita Ayu Mayasari, Ihtifazhuddin Hawari, Sheba Atma Dwiyanti, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2024) Vol. 14, Iss. 3, pp. 3208-3208
Open Access
Strengthening Accuracy of Lung Cancer Diagnosis Through A Novel Multimodal Bayesian Convolutional Neural Network
S. C. Prasanna Kumar
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 3915-3918
Closed Access
Synergistic Fusion of U-Net and DeepLabV3+ for Enhanced Lung Disease Segmentation: A Comprehensive Evaluation and Performance Analysis
Rakhi Gangal, Avneesh Kumar, Prashant Johri, et al.
(2024), pp. 1919-1924
Closed Access
A Review on DeepLungNet: CNN-Based Lung Cancer Detection Techniques Using CT Images
Surabhi S Nair, Asha Susan John, Juby Raju
(2024), pp. 1-6
Closed Access
Automated Pathology Diagnosis Using Artifical Intelligence with Histopathological Images of Lungs
Anu Sowdeswari K, S Divyadurga, A Aashiq, et al.
(2023), pp. 1-7
Closed Access
Thermographic Images-Based Lung Cancer Detection Using a Convolutional Neural Network Algorithm
Anindita Saha, Rakesh Kumar Yadav
(2023), pp. 1-6
Closed Access
Lung Nodule Classification Based on SE-ResNet152 and Stratified Sampling
Jiancheng Li, Junying Gan, Lu Cao, et al.
Communications in computer and information science (2023), pp. 388-398
Closed Access
Classification of clove types using convolution neural network algorithm with optimizing hyperparamters
Firman Tempola, Retantyo Wardoyo, Aina Musdholifah, et al.
Bulletin of Electrical Engineering and Informatics (2023) Vol. 13, Iss. 1, pp. 444-452
Open Access
Developing a Deep Learning Model to Classify Cancerous and Non-cancerous Lung Nodules
Rishit Pandey, Sayani Joddar, Sushruta Mishra, et al.
Lecture notes in networks and systems (2023), pp. 225-236
Closed Access
Clinical Informatics System to Understand Lung Cancer Using Transfer Learning-Based Computer Aided Application-I
Atif Mehmood, Ahed Abugabah, Farah Shahid
(2023), pp. 1-5
Closed Access
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