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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 26-50 of 88 citing articles:

SC2Net: A Novel Segmentation-Based Classification Network for Detection of COVID-19 in Chest X-Ray Images
Huimin Zhao, Zhenyu Fang, Jinchang Ren, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 8, pp. 4032-4043
Open Access | Times Cited: 25
Multi-task semantic segmentation of CT images for COVID-19 infections using DeepLabV3+ based on dilated residual network
Hasan Polat
Physical and Engineering Sciences in Medicine (2022) Vol. 45, Iss. 2, pp. 443-455
Open Access | Times Cited: 24
A lightweight convolutional neural network for automated crack inspection
Siwei Chang, Bowen Zheng
Construction and Building Materials (2024) Vol. 416, pp. 135151-135151
Closed Access | Times Cited: 5
Pulmonary Parenchyma and COVID-19 Lesion Volumetric Segmentation Based on Probabilistic Active Contours
Oscar I. Liñan-López, Adrian D. Olivares-Romo, Hermes S. Torres-Ortega, et al.
IFMBE proceedings (2025), pp. 409-418
Closed Access
Performance evaluation of reduced complexity deep neural networks
Shahrukh Agha, Sajid Nazir, Mohammad Kaleem, et al.
PLoS ONE (2025) Vol. 20, Iss. 3, pp. e0319859-e0319859
Open Access
COFE-Net: An ensemble strategy for Computer-Aided Detection for COVID-19
Avinandan Banerjee, Rajdeep Bhattacharya, Vikrant Bhateja, et al.
Measurement (2021) Vol. 187, pp. 110289-110289
Open Access | Times Cited: 32
Research on Classification of COVID-19 Chest X-Ray Image Modal Feature Fusion Based on Deep Learning
Dongsheng Ji, Zhujun Zhang, Yanzhong Zhao, et al.
Journal of Healthcare Engineering (2021) Vol. 2021, pp. 1-12
Open Access | Times Cited: 29
Deep Ensemble Learning-Based Models for Diagnosis of COVID-19 from Chest CT Images
Mohamed Mouhafid, M. Ali Al-Obaidi Salah, Yue Chi, et al.
Healthcare (2022) Vol. 10, Iss. 1, pp. 166-166
Open Access | Times Cited: 19
MFL-Net: An Efficient Lightweight Multi-Scale Feature Learning CNN for COVID-19 Diagnosis From CT Images
Amogh Manoj Joshi, Deepak Ranjan Nayak
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 11, pp. 5355-5363
Closed Access | Times Cited: 19
CoviDetector: A transfer learning-based semi supervised approach to detect Covid-19 using CXR images
Deepraj Chowdhury, Anik Das, Ajoy Dey, et al.
BenchCouncil Transactions on Benchmarks Standards and Evaluations (2023) Vol. 3, Iss. 2, pp. 100119-100119
Open Access | Times Cited: 11
A comparative analysis of machine learning algorithms for detecting COVID-19 using lung X-ray images
Susmita Hamal, Bhupesh Kumar Mishra, Robert A. Baldock, et al.
Decision Analytics Journal (2024) Vol. 11, pp. 100460-100460
Open Access | Times Cited: 4
A Literature Review on the Use of Artificial Intelligence for the Diagnosis of COVID-19 on CT and Chest X-ray
Ciara Mulrenan, Kawal Rhode, Barbara M. Fischer
Diagnostics (2022) Vol. 12, Iss. 4, pp. 869-869
Open Access | Times Cited: 18
Convolutional Neural Networks with Transfer Learning for Pneumonia Detection
Orlando Iparraguirre-Villanueva, Victor Guevara-Ponce, Ofelia Roque Paredes, et al.
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 9
Open Access | Times Cited: 17
Reinforcement Learning Based Diagnosis and Prediction for COVID-19 by Optimizing a Mixed Cost Function From CT Images
Siying Chen, Minghui Liu, Deng Pan, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 11, pp. 5344-5354
Closed Access | Times Cited: 16
Semi-supervised COVID-19 volumetric pulmonary lesion estimation on CT images using probabilistic active contour and CNN segmentation
Diomar Enrique Rodríguez-Obregón, Aldo R. Mejía‐Rodríguez, Leopoldo Cendejas‐Zaragoza, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104905-104905
Open Access | Times Cited: 8
A Hybrid Deep Learning Approach for COVID-19 Diagnosis via CT and X-ray Medical Images
Channabasava Chola, M. Pramodha, Abdullah Y. Muaad, et al.
(2021), pp. 13-13
Open Access | Times Cited: 18
Multi-task supervised contrastive learning for chest X-ray diagnosis: A two-stage hierarchical classification framework for COVID-19 diagnosis
G. G. Chen, Chih‐Ting Lin
Applied Soft Computing (2024) Vol. 155, pp. 111478-111478
Closed Access | Times Cited: 2
Classifying chest x-rays for COVID-19 through transfer learning: a systematic review
Devanshi Mallick, Arshdeep Singh, E. Y. K. Ng, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 2
Iterative enhancement fusion-based cascaded model for detection and localization of multiple disease from CXR-Images
Satvik Vats, Vikrant Sharma, Amit Singh, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124464-124464
Closed Access | Times Cited: 2
Classification of Breast Lesions on DCE-MRI Data Using a Fine-Tuned MobileNet
Long Wang, Ming Zhang, Guangyuan He, et al.
Diagnostics (2023) Vol. 13, Iss. 6, pp. 1067-1067
Open Access | Times Cited: 6
Boosting automatic COVID-19 detection performance with self-supervised learning and batch knowledge ensembling
Guang Li, Ren Togo, Takahiro Ogawa, et al.
Computers in Biology and Medicine (2023) Vol. 158, pp. 106877-106877
Open Access | Times Cited: 6
A multi-class classification framework for disease screening and disease diagnosis of COVID-19 from chest X-ray images
Ebenezer Jangam, Chandra Sekhara Rao Annavarapu, Aaron Antonio Dias Barreto
Multimedia Tools and Applications (2022) Vol. 82, Iss. 10, pp. 14367-14401
Open Access | Times Cited: 10
Improved Analysis of COVID-19 Influenced Pneumonia from the Chest X-Rays Using Fine-Tuned Residual Networks
Amel Ksibi, Mohammed Zakariah, Manel Ayadi, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 9
Classification COVID-19 Based on Enhancement X-Ray Images and Low Complexity Model
Aymen Saad, Israa S. Kamil, Ahmed Alsayat, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 72, Iss. 1, pp. 561-576
Open Access | Times Cited: 8
A Model based on Deep Learning for COVID-19 X-rays Classification
Eman I. Abd El-Latif, Nour Eldeen M. Khalifa
International Journal of Image Graphics and Signal Processing (2023) Vol. 15, Iss. 1, pp. 36-46
Open Access | Times Cited: 4

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