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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:

COVID-19 and pneumonia diagnosis from chest X-ray images using convolutional neural networks
Muhab Hariri, Ercan Avşar
Network Modeling Analysis in Health Informatics and Bioinformatics (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 23

Showing 23 citing articles:

Detection of various lung diseases including COVID-19 using extreme learning machine algorithm based on the features extracted from a lightweight CNN architecture
Md. Nahiduzzaman, Md. Omaer Faruq Goni, Md. Robiul Islam, et al.
Journal of Applied Biomedicine (2023) Vol. 43, Iss. 3, pp. 528-550
Open Access | Times Cited: 19
Deep Learning for Pneumonia Detection in Chest X-ray Images: A Comprehensive Survey
Raheel Siddiqi, Sameena Javaid
Journal of Imaging (2024) Vol. 10, Iss. 8, pp. 176-176
Open Access | Times Cited: 8
Chest X-ray image classification using transfer learning and hyperparameter customization for lung disease diagnosis
Thanh-an Pham, Van-Dung Hoang
Journal of Information and Telecommunication (2024) Vol. 8, Iss. 4, pp. 587-601
Open Access | Times Cited: 4
Enhanced super-resolution generative adversarial network augmented convolution neural network for pneumonia prognosis in India: promising health policy implications
Tapan Kumar, R. L. Ujjwal
International Journal of Systems Assurance Engineering and Management (2025)
Closed Access
A Novel Computer-Aided Approach for Predicting COVID-19 Severity Using Hyperparameters in ResNet50v2 from X-ray Images
Rahul Deva, Arvind Dagur
International Journal of experimental research and review (2024) Vol. 42, pp. 120-132
Open Access | Times Cited: 3
Analysis of Lung Disease Prediction using Machine Learning Algorithms
Mr. Vishal Borate, Alpana Adsul, M. Purohit, et al.
International Journal of Advanced Research in Science Communication and Technology (2024), pp. 425-4234
Open Access | Times Cited: 2
Identification of COVID-19 with CT scans using radiomics and DL-based features
Sunil Dalal, Jyoti Prakash Singh, Arvind Kumar Tiwari, et al.
Network Modeling Analysis in Health Informatics and Bioinformatics (2024) Vol. 13, Iss. 1
Closed Access | Times Cited: 1
An Optimized Wasserstein Deep Convolutional Generative Adversarial Network approach for the classification of COVID-19 and pneumonia
Akhil Rajendra, B S Jayasri, S. Ramya, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107100-107100
Closed Access | Times Cited: 1
LesionScanNet: dual-path convolutional neural network for acute appendicitis diagnosis
Muhab Hariri, Ahmet Aydın, Osman Sıbıç, et al.
Health Information Science and Systems (2024) Vol. 13, Iss. 1
Closed Access | Times Cited: 1
New approach based on light enhancement and real-time dual CNN for classification of COVID-19 X-ray images
Samir Hallaci, Brahim Farou, Zineddine Kouahla, et al.
Evolving Systems (2023) Vol. 15, Iss. 3, pp. 1073-1097
Closed Access | Times Cited: 3
DFPT-CNN: A Dual Feature Extraction and Pretrained CNN Synergy for Minimal Computational Overhead and Enhanced Accuracy in Multi-Class Medical Image Classification
Dinah Ann Varughese, Sriadibhatla Sridevi
IEEE Access (2024) Vol. 12, pp. 58573-58585
Open Access
Predictive Modeling of Covid-19 Severity through Computer-Aided Analysis of X-Ray Imagery
Sachin Chaudhary, Rajneesh Panwar, Bhupendra Kumar, et al.
(2024), pp. 1-6
Closed Access
A Systematic Literature Review on Machine Learning and Deep Learning-Based Covid-19 Detection Frameworks using X-ray Images
S. Maheswari, Supriya Suresh, S Ahamed Ali
Applied Soft Computing (2024) Vol. 166, pp. 112137-112137
Closed Access
Deep learning-based mobile application for the enhancement of pneumonia medical imaging analysis: A case-study of West-Meru Hospital
Japheth Mumo Kimeu, Michael Kisangiri, Hope Mbelwa, et al.
Informatics in Medicine Unlocked (2024), pp. 101582-101582
Open Access
Uma visão sobre a classificação de pneumonia viral e bacteriana por radiografias de tórax
Gabriel Martins Gomes, Kaye Silva, Fabrízzio Soares, et al.
Journal of Health Informatics (2024) Vol. 16, Iss. Especial
Open Access
Symptoms can predict COVID-19 pneumonia in patients infected with SARS-CoV-2 Omicron variants
Qian-Qian Liao, Zefeng Zhu, Ke‐Wei Zhu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
A Scalable Solution for Pneumonia Diagnosis: Transfer Learning for Chest X-ray Analysis
Rezaul Haque, S Z Sultana, Chandan Prasad, et al.
(2024), pp. 255-262
Closed Access
Leveraging DenseNet Features for Machine Learning Based Lung Disease Diagnosis From X-Rays
M. Muthulakshmi, Suvetha SP, V Divya
(2024), pp. 1-6
Closed Access
Pneumonia detection of Linearly Classified X-Ray Images using CNN
Nishant Singh, Subhojeet Bhattacharjee, N. Prasath
(2023), pp. 1-5
Closed Access | Times Cited: 1
Deep CNN for the Identification of Pneumonia Respiratory Disease in Chest X-Ray Imagery
Dias Nessipkhanov, Venera Davletova, Nurgul Kurmanbekkyzy, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 10
Open Access
Overcoming Imbalanced Data Challenges in Spinal Disorder Detection: An Integrated YOLOv5 and CNNs Approach with SMOTE
Wanchaloem Nadda, Wararat Boonchieng, M.D. Wongthawat Liawrungrueang
(2023), pp. 425-428
Closed Access
Diagnosis of Pneumonia Using Distribution of Pertinent Microstructures: An Application of Machine Learning
Pulin Verma
(2023), pp. 710-715
Closed Access
Advancing Pneumonia Detection Using Deep Learning
Nitish Kumar, Tananki Keerthi, P. Varshini, et al.
(2023), pp. 1-7
Closed Access
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