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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:

LungNet22: A Fine-Tuned Model for Multiclass Classification and Prediction of Lung Disease Using X-ray Images
F. M. Javed Mehedi Shamrat, Sami Azam, Asif Karim, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 5, pp. 680-680
Open Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

High-precision multiclass classification of lung disease through customized MobileNetV2 from chest X-ray images
F. M. Javed Mehedi Shamrat, Sami Azam, Asif Karim, et al.
Computers in Biology and Medicine (2023) Vol. 155, pp. 106646-106646
Open Access | Times Cited: 88
Explainable artificial intelligence approaches for COVID-19 prognosis prediction using clinical markers
Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 22
An advanced deep neural network for fundus image analysis and enhancing diabetic retinopathy detection
F. M. Javed Mehedi Shamrat, Rashiduzzaman Shakil, Sharmin, et al.
Healthcare Analytics (2024) Vol. 5, pp. 100303-100303
Open Access | Times Cited: 12
Analysis of Diabetic Retinopathy (DR) Based on the Deep Learning
Abdul Muiz Fayyaz, Muhammad Imran Sharif, Sami Azam, et al.
Information (2023) Vol. 14, Iss. 1, pp. 30-30
Open Access | Times Cited: 35
Deep learning for pneumothorax diagnosis: a systematic review and meta-analysis
Takahiro Sugibayashi, Shannon L. Walston, Toshimasa Matsumoto, et al.
European Respiratory Review (2023) Vol. 32, Iss. 168, pp. 220259-220259
Open Access | Times Cited: 20
DeepChestGNN: A Comprehensive Framework for Enhanced Lung Disease Identification through Advanced Graphical Deep Features
Shakil Rana, Md Jabed Hosen, Tasnim Jahan Tonni, et al.
Sensors (2024) Vol. 24, Iss. 9, pp. 2830-2830
Open Access | Times Cited: 7
Lung-DT: An AI-Powered Digital Twin Framework for Thoracic Health Monitoring and Diagnosis
Roberta Avanzato, Francesco Beritelli, Alfio Lombardo, et al.
Sensors (2024) Vol. 24, Iss. 3, pp. 958-958
Open Access | Times Cited: 6
A multiclass deep learning algorithm for healthy lung, Covid-19 and pneumonia disease detection from chest X-ray images
Geethu Mohan, M. Monica Subashini, Shuba Balan, et al.
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 6
A Deep Learning Framework for Accurate COVID-19 Classification in CT-Scan Images
Shirin Kordnoori, Malihe Sabeti, Hamidreza Mostafaei, et al.
Machine Learning with Applications (2025), pp. 100628-100628
Open Access
Automated breast tumor ultrasound image segmentation with hybrid UNet and classification using fine-tuned CNN model
Shahed Hossain, Sami Azam, Sidratul Montaha, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e21369-e21369
Open Access | Times Cited: 17
A machine learning approach for risk factors analysis and survival prediction of Heart Failure patients
Md. Mamun Ali, Vian S. Al-Doori, Nubogh Mirzah, et al.
Healthcare Analytics (2023) Vol. 3, pp. 100182-100182
Open Access | Times Cited: 13
An efficient SMD-PCBA detection based on YOLOv7 network model
Zhijin Li, Jinfeng Yan, Jie Zhou, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106492-106492
Closed Access | Times Cited: 11
An explainable artificial intelligence model for multiple lung diseases classification from chest X-ray images using fine-tuned transfer learning
Eram Mahamud, Nafiz Fahad, Md Assaduzzaman, et al.
Decision Analytics Journal (2024) Vol. 12, pp. 100499-100499
Open Access | Times Cited: 4
Prediction of Tuberculosis from Lung Tissue Images of Diversity Outbred Mice using Jump Knowledge Based Cell Graph Neural Network
Vasundhara Acharya, Diana Choi, Bülent Yener, et al.
IEEE Access (2024) Vol. 12, pp. 17164-17194
Open Access | Times Cited: 3
Automated COVID-19 detection with convolutional neural networks
Aphelele Dumakude, Absalom E. Ezugwu
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11
Multi-Scale CNN: An Explainable AI-Integrated Unique Deep Learning Framework for Lung-Affected Disease Classification
Ovi Sarkar, Md. Robiul Islam, Md. Khalid Syfullah, et al.
Technologies (2023) Vol. 11, Iss. 5, pp. 134-134
Open Access | Times Cited: 10
Lung-DT: An AI-Powered Digital Twin Framework for Thoracic Health Monitoring and Diagnosis
Roberta Avanzato, Francesco Beritelli, Alfio Lombardo, et al.
(2024)
Open Access | Times Cited: 3
OView-AI Supporter for Classifying Pneumonia, Pneumothorax, Tuberculosis, Lung Cancer Chest X-ray Images Using Multi-Stage Superpixels Classification
Joonho Oh, Chanho Park, Hongchang Lee, et al.
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1519-1519
Open Access | Times Cited: 9
Unsupervised domain adaptation for Covid-19 classification based on balanced slice Wasserstein distance
Jiawei Gu, Xuan Qian, Qian Zhang, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107207-107207
Closed Access | Times Cited: 9
Deep learning-based analysis of COVID-19 X-ray images: Incorporating clinical significance and assessing misinterpretation
Md. Rahad Islam Bhuiyan, Sami Azam, Sidratul Montaha, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 9
Deep Transfer Learning Techniques-Based Automated Classification and Detection of Pulmonary Fibrosis from Chest CT Images
Asif Hassan, Tabrej Khan, Sher Afzal Khan
Processes (2023) Vol. 11, Iss. 2, pp. 443-443
Open Access | Times Cited: 8
RESNET-50, CNN and HNN Medical Image Registration Techniques For Covid-19, Pneumonia and Other Chest Ailments Detection
Palempati Ganesh Sathvik, Mandapati Rohith Kumar, Gyana Harsha Neeli, et al.
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2022), pp. 1-7
Closed Access | Times Cited: 13
Deployment of Breast Cancer Hybrid Net using Deep Learning
Nipun B Nair, Tripty Singh, Amrita Thakur, et al.
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2022), pp. 1-6
Closed Access | Times Cited: 13
Enhancing safety of construction workers in Korea: an integrated text mining and machine learning framework for predicting accident types
Joon Woo Yoo, Junsung Park, Heejun Park
International Journal of Injury Control and Safety Promotion (2024) Vol. 31, Iss. 2, pp. 203-215
Closed Access | Times Cited: 1
A novel multi class disease detection of chest x-ray images using deep learning with pre trained transfer learning models for medical imaging applications
Deema Mohammed Alsekait, K. Mahendran, Suresh Muthusamy, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
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