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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:

Transfer Learning to Detect COVID-19 Automatically from X-Ray Images Using Convolutional Neural Networks
Mundher Mohammed Taresh, Ningbo Zhu, Talal Ahmed Ali Ali, et al.
International Journal of Biomedical Imaging (2021) Vol. 2021, pp. 1-9
Open Access | Times Cited: 88

Showing 1-25 of 88 citing articles:

Global Increase in Breast Cancer Incidence: Risk Factors and Preventive Measures
Dharambir Kashyap, Deeksha Pal, Riya Sharma, et al.
BioMed Research International (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 397
A Study of CNN and Transfer Learning in Medical Imaging: Advantages, Challenges, Future Scope
Ahmad Waleed Salehi, Shakir Khan, Gaurav Gupta, et al.
Sustainability (2023) Vol. 15, Iss. 7, pp. 5930-5930
Open Access | Times Cited: 212
Artificial intelligence (AI) for medical imaging to combat coronavirus disease (COVID-19): a detailed review with direction for future research
Toufique Ahmed Soomro, Lihong Zheng, Ahmed J. Afifi, et al.
Artificial Intelligence Review (2021) Vol. 55, Iss. 2, pp. 1409-1439
Open Access | Times Cited: 82
Automatic detection of COVID-19 from chest CT scan and chest X-Rays images using deep learning, transfer learning and stacking
Ebenezer Jangam, Aaron Antonio Dias Barreto, Chandra Sekhara Rao Annavarapu
Applied Intelligence (2021) Vol. 52, Iss. 2, pp. 2243-2259
Open Access | Times Cited: 74
Automated multi-class classification of lung diseases from CXR-images using pre-trained convolutional neural networks
Sahebgoud Hanamantray Karaddi, Lakhan Dev Sharma
Expert Systems with Applications (2022) Vol. 211, pp. 118650-118650
Closed Access | Times Cited: 55
Ensemble Image Explainable AI (XAI) Algorithm for Severe Community-Acquired Pneumonia and COVID-19 Respiratory Infections
Lin Zou, Han Leong Goh, Charlene Liew, et al.
IEEE Transactions on Artificial Intelligence (2022) Vol. 4, Iss. 2, pp. 242-254
Open Access | Times Cited: 48
X-Ray image-based COVID-19 detection using deep learning
Aleka Melese Ayalew, Ayodeji Olalekan Salau, Yibeltal Tamyalew, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 28, pp. 44507-44525
Open Access | Times Cited: 31
IoMT with Deep CNN: AI-Based Intelligent Support System for Pandemic Diseases
Sujithra Thandapani, M. Mohamed Iqbal, Celestine Iwendi, et al.
Electronics (2023) Vol. 12, Iss. 2, pp. 424-424
Open Access | Times Cited: 28
SCovNet: A skip connection-based feature union deep learning technique with statistical approach analysis for the detection of COVID-19
Kiran Kumar Patro, Allam Jaya Prakash, Mohamed Hammad, et al.
Journal of Applied Biomedicine (2023) Vol. 43, Iss. 1, pp. 352-368
Open Access | Times Cited: 27
Incremental learning-based cascaded model for detection and localization of tuberculosis from chest x-ray images
Satvik Vats, Vikrant Sharma, Karan Singh, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122129-122129
Closed Access | Times Cited: 27
A survey on deep learning models for detection of COVID-19
Javad Mozaffari, Abdollah Amirkhani, Shahriar B. Shokouhi
Neural Computing and Applications (2023) Vol. 35, Iss. 23, pp. 16945-16973
Open Access | Times Cited: 24
A comparative study of Detecting Covid 19 by Using Chest X-ray Images– A Deep Learning Approach
Jonayet Miah, Razib Hayat Khan, Sabbir Ahmed, et al.
2022 IEEE World AI IoT Congress (AIIoT) (2023)
Closed Access | Times Cited: 24
Multi-modal deep learning methods for classification of chest diseases using different medical imaging and cough sounds
Hassaan Malik, Tayyaba Anees
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0296352-e0296352
Open Access | Times Cited: 9
Adapting transfer learning models to dataset through pruning and Avg-TopK pooling
Cüneyt Özdemir
Neural Computing and Applications (2024) Vol. 36, Iss. 11, pp. 6257-6270
Open Access | Times Cited: 8
A Comprehensive Exploration of Artificial Intelligence Methods for COVID-19 Diagnosis
S. Balasubramaniam, M Arishma, Satheesh Kumar K, et al.
EAI Endorsed Transactions on Pervasive Health and Technology (2024) Vol. 10
Open Access | Times Cited: 8
CO-IRv2: Optimized InceptionResNetV2 for COVID-19 detection from chest CT images
M. Rubaiyat Hossain Mondal, Subrato Bharati, Prajoy Podder
PLoS ONE (2021) Vol. 16, Iss. 10, pp. e0259179-e0259179
Open Access | Times Cited: 49
Role of Artificial Intelligence in COVID-19 Detection
Anjan Gudigar, U. Raghavendra, Sneha Nayak, et al.
Sensors (2021) Vol. 21, Iss. 23, pp. 8045-8045
Open Access | Times Cited: 49
Effect of image transformation on EfficientNet model for COVID-19 CT image classification
A. Shamila Ebenezer, S. Deepa Kanmani, Mahima Sivakumar, et al.
Materials Today Proceedings (2021) Vol. 51, pp. 2512-2519
Open Access | Times Cited: 42
Federated learning based Covid‐19 detection
Deepraj Chowdhury, Soham Banerjee, Madhushree Sannigrahi, et al.
Expert Systems (2022) Vol. 40, Iss. 5
Open Access | Times Cited: 32
Lung Disease Classification in CXR Images Using Hybrid Inception-ResNet-v2 Model and Edge Computing
Chandra Mani Sharma, Lakshay Goyal, Vijayaraghavan M. Chariar, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 31
Detecting Covid19 and pneumonia from chest X-ray images using deep convolutional neural networks
Nallamothu Sri Kavya, Thotapalli shilpa, N. Veeranjaneyulu, et al.
Materials Today Proceedings (2022) Vol. 64, pp. 737-743
Open Access | Times Cited: 28
A novel deep learning based method for COVID-19 detection from CT image
Seyyed-Mohammad Javadi-Moghaddam, Hossain Gholamalinejad
Biomedical Signal Processing and Control (2021) Vol. 70, pp. 102987-102987
Open Access | Times Cited: 38
Local binary pattern and deep learning feature extraction fusion for COVID‐19 detection on computed tomography images
Auwalu Saleh Mubarak, Sertan Serte, Fadi Al‐Turjman, et al.
Expert Systems (2021) Vol. 39, Iss. 3
Open Access | Times Cited: 38
A stacked ensemble for the detection of COVID-19 with high recall and accuracy
Ebenezer Jangam, Chandra Sekhara Rao Annavarapu
Computers in Biology and Medicine (2021) Vol. 135, pp. 104608-104608
Open Access | Times Cited: 34
Early prediction of COVID-19 using ensemble of transfer learning
Pradeep Kumar Roy, Abhinav Kumar
Computers & Electrical Engineering (2022) Vol. 101, pp. 108018-108018
Open Access | Times Cited: 26
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