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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:

Cat Swarm Optimization-Based Computer-Aided Diagnosis Model for Lung Cancer Classification in Computed Tomography Images
Thavavel Vaiyapuri, Liyakathunisa, Haya Alaskar, et al.
Applied Sciences (2022) Vol. 12, Iss. 11, pp. 5491-5491
Open Access | Times Cited: 21

Showing 21 citing articles:

Deep Learning Techniques to Diagnose Lung Cancer
Lulu Wang
Cancers (2022) Vol. 14, Iss. 22, pp. 5569-5569
Open Access | Times Cited: 108
Recent advancements in deep learning based lung cancer detection: A systematic review
Shubham Dodia, B. Annappa, P A Mahesh
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105490-105490
Closed Access | Times Cited: 43
A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics
Hari Mohan, Joon Yoo
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 15, pp. 14365-14408
Closed Access | Times Cited: 19
Sooty Tern Optimization Algorithm-Based Deep Learning Model for Diagnosing NSCLC Tumours
Muhammad Asim Saleem, Ngoc Thien Le, Widhyakorn Asdornwised, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 2147-2147
Open Access | Times Cited: 16
GoogLeNet-AL: A fully automated adaptive model for lung cancer detection
Lei Ma, Huiqun Wu, P. Samundeeswari
Pattern Recognition (2024) Vol. 155, pp. 110657-110657
Closed Access | Times Cited: 7
Advancing Pulmonary Nodule Diagnosis by Integrating Engineered and Deep Features Extracted from CT Scans
Wiem Safta, Ahmed Shaffie
Algorithms (2024) Vol. 17, Iss. 4, pp. 161-161
Open Access | Times Cited: 6
TPOT with SVM hybrid machine learning model for lung cancer classification using CT image
Nayana N. Murthy, K Thippeswamy
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107465-107465
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
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
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
Computer aided model for lung cancer classification using cat optimized convolutional neural networks
A. Gopinath, P. Gowthaman, M. Venkatachalam, et al.
Measurement Sensors (2023) Vol. 30, pp. 100932-100932
Open Access | Times Cited: 7
YOLO Based Deep Learning Model for Segmenting the Color Images
D. Rasi, M. AntoBennet, P. N. Renjith, et al.
International Journal of Electrical and Electronics Research (2023) Vol. 11, Iss. 2, pp. 359-370
Open Access | Times Cited: 4
An efficient combined intelligent system for segmentation and classification of lung cancer computed tomography images
Maheswari Sivakumar, Sundar Chinnasamy, Thanabal MS
PeerJ Computer Science (2024) Vol. 10, pp. e1802-e1802
Open Access | Times Cited: 1
A powerful Transfer learning technique for multiclass classification of lung cancer CT images
Ananya Bhattacharjee, K. Shankar, R. Murugan, et al.
2021 International Conference on Engineering and Emerging Technologies (ICEET) (2022)
Closed Access | Times Cited: 3
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
Segmentation and Classification of Lung Tumor Analysis using LU-Net with BBH Optimizer
T. Gayathri, Ratna Kumari K, N Durga, et al.
(2024), pp. 834-839
Closed Access
Cross-spectral vision transformer for lung nodule detection with improved moth flame algorithm using deep learning
D. Shashikala, C. P. Chandran, S. Rajathi
e-Prime - Advances in Electrical Engineering Electronics and Energy (2024) Vol. 8, pp. 100556-100556
Open Access
Fuzzy-ER Net: Fuzzy-based Efficient Residual Network-based lung cancer classification
Nayana N. Murthy, K Thippeswamy
Computers & Electrical Engineering (2024) Vol. 121, pp. 109891-109891
Closed Access
A Review on Analyzing and Predicting the State of Cancer Disease using Machine Learning Algorithms
Babu Selvaraj, M. Aruna
(2023), pp. 832-841
Closed Access | Times Cited: 1
Classification of Lung Diseases using Deep Learning Techniques: A Comparative Study of Classification Algorithms
Vanshika Gupta, Abhishek Singhal, Aniket Tripathi
(2023), pp. 1-6
Closed Access
Lung Cancer Detection using Evolutionary Machine learning and Deep learning: A survey
A.A. Hasan, Alaa Taima Albu Salih, Ahmad Ghandour
(2023), pp. 129-133
Closed Access
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