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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:

Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images
Rehan Raza, Fatima Zulfiqar, Muhammad Owais Khan, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106902-106902
Open Access | Times Cited: 84

Showing 1-25 of 84 citing articles:

Applied Artificial Intelligence in Healthcare: A Review of Computer Vision Technology Application in Hospital Settings
Heidi Lindroth, Keivan Nalaie, Roshini Raghu, et al.
Journal of Imaging (2024) Vol. 10, Iss. 4, pp. 81-81
Open Access | Times Cited: 22
Optimizing double-layered convolutional neural networks for efficient lung cancer classification through hyperparameter optimization and advanced image pre-processing techniques
M. Mohamed Musthafa, I. Manimozhi, T R Mahesh, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 12
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
Improving performance in colorectal cancer histology decomposition using deep and ensemble machine learning
Fabi Prezja, Leevi Annala, Sampsa Kiiskinen, et al.
Heliyon (2024) Vol. 10, Iss. 18, pp. e37561-e37561
Open 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
Improving lung cancer detection via MobileNetV2 and stacked-GRU with explainable AI
Abolfazl Bagheri Tofighi, Abbas Ahmadi, Hadi Mosadegh
International Journal of Information Technology (2024)
Closed Access | Times Cited: 5
Enhancing lung cancer diagnosis with data fusion and mobile edge computing using DenseNet and CNN
Chengping Zhang, Muhammad Aamir, Yurong Guan, et al.
Journal of Cloud Computing Advances Systems and Applications (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 4
Lung Cancer Detection and Classification from Chest CT Images Using an Ensemble Deep Learning Approach
Zakia Sultana, Md. Ferdouse Ahmed Foysal, Soyabul Islam, et al.
(2024)
Closed Access | Times Cited: 4
Four Transformer-Based Deep Learning Classifiers Embedded with an Attention U-Net-Based Lung Segmenter and Layer-Wise Relevance Propagation-Based Heatmaps for COVID-19 X-ray Scans
Siddharth Gupta, Arun Kumar Dubey, Rajesh Singh, et al.
Diagnostics (2024) Vol. 14, Iss. 14, pp. 1534-1534
Open Access | Times Cited: 4
Optimized Crop Disease Identification in Bangladesh: A Deep Learning and SVM Hybrid Model for Rice, Potato, and Corn
Shohag Barman, Fahmid Al Farid, Jaohar Raihan, et al.
Journal of Imaging (2024) Vol. 10, Iss. 8, pp. 183-183
Open Access | Times Cited: 4
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
NAVT-Net Neuron Attention Visual Taylor Network for lung cancer detection using CT images
L Jimson, J. P. Ananth
Computational Biology and Chemistry (2025), pp. 108363-108363
Closed Access
Evaluating pre-processing and deep learning methods in medical imaging: Combined effectiveness across multiple modalities
Tat-Bao-Thien Nguyen, T. Hung, Pham Tien Nam, et al.
Alexandria Engineering Journal (2025) Vol. 119, pp. 558-586
Open Access
Optimized theory-guided convolutional neural network for lung cancer classification using CT images with advanced FPGA implementation
S. Manikandan, P. Karthigaikumar
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107719-107719
Closed Access
Improving breast cancer classification in fine-grain ultrasound images through feature discrimination and a transfer learning approach
Fatemeh Taheri, Kambiz Rahbar
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107690-107690
Closed Access
Lung Cancer Diagnosis Based on Object Detection Technology
Jia-Lang Xu, Pei-Yun Wang, Tzu-Hsuan Huang, et al.
Lecture notes in electrical engineering (2025), pp. 200-203
Closed Access
Diagnosis of Lung Cancer Using Endobronchial Ultrasonography Image Based on Multi-Scale Image and Multi-Feature Fusion Framework
Huitao Wang, Takahiro Nakajima, Kohei Shikano, et al.
Tomography (2025) Vol. 11, Iss. 3, pp. 24-24
Open Access
Early Detection of Lung Cancer Using Pyramid Vision Transformer (PVT v2): A Comparative Analysis of Deep Learning Models
Md. Khurshid Jahan, Ahmed Faizul Haque Dhrubo, Maher Ali Rusho, et al.
(2025), pp. 0389-0394
Closed Access
EfficientNet Evolution: Exploring the Optimal Architecture for Lung Carcinoma Nodule Identification
S. Athiramol, M. Sudheep Elayidom
Algorithms for intelligent systems (2025), pp. 43-52
Closed Access
Mpox-XDE: an ensemble model utilizing deep CNN and explainable AI for monkeypox detection and classification
Dip Kumar Saha, Sana Rafi, M. F. Mridha, et al.
BMC Infectious Diseases (2025) Vol. 25, Iss. 1
Open Access
PCA-F-SHCNNet: Principal Component Analysis-Fused-Shepard Convolutional Neural Networks for lung cancer detection and severity level classification
Sk Khader Basha, Pravin R. Kshirsagar, P. Srinivasa Rao, et al.
Biomedical Signal Processing and Control (2025) Vol. 107, pp. 107843-107843
Closed Access
Hypermetabolic pulmonary lesions detection and diagnosis based on PET/CT imaging and deep learning models
Jiajia Hu, Ran Cheng, Martin Quan, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2025)
Open Access
Early Classification of Lung Cancer Based on Cell Morphology Features
Haewon Byeon, Mukesh Soni, Nabendu Kumar Deb, et al.
Communications in computer and information science (2025), pp. 279-292
Closed Access
Enhanced Lung Cancer Detection Using Vision Transformer for Features Extraction and SVM Classification
Dorsaf Hrizi, Khaoula Tbarki, Sadok Elasmi
Lecture notes on data engineering and communications technologies (2025), pp. 440-449
Closed Access
Navigating the Challenges and Opportunities of Tiny Deep Learning and Tiny Machine Learning in Lung Cancer Identification
Yasir Salam Abdulghafoor, Auns Qusai Al-Neami, Ahmed Faeq Hussein
Al-Nahrain Journal for Engineering Sciences (2025) Vol. 28, Iss. 1, pp. 97-120
Open Access
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