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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:

EDL-COVID: Ensemble Deep Learning for COVID-19 Case Detection From Chest X-Ray Images
Shanjiang Tang, Chunjiang Wang, Jiangtian Nie, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 17, Iss. 9, pp. 6539-6549
Open Access | Times Cited: 153

Showing 1-25 of 153 citing articles:

COVID-CXNet: Detecting COVID-19 in frontal chest X-ray images using deep learning
Arman Haghanifar, Mahdiyar Molahasani Majdabadi, Younhee Choi, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 21, pp. 30615-30645
Open Access | Times Cited: 153
Hybrid quantum-classical convolutional neural network model for COVID-19 prediction using chest X-ray images
Essam H. Houssein, Zainab Abohashima, Mohamed Elhoseny, et al.
Journal of Computational Design and Engineering (2022) Vol. 9, Iss. 2, pp. 343-363
Open Access | Times Cited: 102
Machine learning applications for COVID-19 outbreak management
Arash Heidari, Nima Jafari Navimipour, Mehmet Ünal, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 18, pp. 15313-15348
Open Access | Times Cited: 93
Application of Deep Learning Techniques in Diagnosis of Covid-19 (Coronavirus): A Systematic Review
Yogesh H. Bhosale, K. Sridhar Patnaik
Neural Processing Letters (2022) Vol. 55, Iss. 3, pp. 3551-3603
Open Access | Times Cited: 82
UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection
Moloud Abdar, Soorena Salari, Sina Qahremani, et al.
Information Fusion (2022) Vol. 90, pp. 364-381
Open Access | Times Cited: 76
Inverted bell-curve-based ensemble of deep learning models for detection of COVID-19 from chest X-rays
Ashis Kumar Paul, Arpan Basu, Mufti Mahmud, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 22, pp. 16113-16127
Open Access | Times Cited: 73
Hybrid Deep learning based Semi-supervised Model for Medical Imaging
Hemlata Sahu, Ramgopal Kashyap, Bhupesh Kumar Dewangan
(2023), pp. 1-6
Closed Access | Times Cited: 64
Automated detection and forecasting of COVID-19 using deep learning techniques: A review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, et al.
Neurocomputing (2024) Vol. 577, pp. 127317-127317
Open Access | Times Cited: 55
Densely attention mechanism based network for COVID-19 detection in chest X-rays
Zahid Ullah, Muhammad Usman, Siddique Latif, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 46
COVID-19 Detection in CT/X-ray Imagery Using Vision Transformers
Mohamad Mahmoud Al Rahhal, Yakoub Bazi, Rami M. Jomaa, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 2, pp. 310-310
Open Access | Times Cited: 41
MTSS-AAE: Multi-task semi-supervised adversarial autoencoding for COVID-19 detection based on chest X-ray images
Zahid Ullah, Muhammad Usman, Jeonghwan Gwak
Expert Systems with Applications (2023) Vol. 216, pp. 119475-119475
Open Access | Times Cited: 37
Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing Framework
Arun Kumar Dubey, Gian Luca Chabert, Alessandro Carriero, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1954-1954
Open Access | Times Cited: 24
Generalizable disease detection using model ensemble on chest X-ray images
Maider Abad, Jordi Casas-Roma, Ferrán Prados
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Machine Learning in Healthcare Analytics: A State-of-the-Art Review
Surajit Das, Samaleswari Pr. Nayak, Biswajit Sahoo, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 8
Design of Type-3 Fuzzy Systems and Ensemble Neural Networks for COVID-19 Time Series Prediction Using a Firefly Algorithm
Patricia Melín, Daniela Sánchez, Juan R. Castro, et al.
Axioms (2022) Vol. 11, Iss. 8, pp. 410-410
Open Access | Times Cited: 36
Study on transfer learning capabilities for pneumonia classification in chest-x-rays images
Danilo Avola, Andrea Bacciu, Luigi Cinque, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 221, pp. 106833-106833
Open Access | Times Cited: 33
A survey of machine learning-based methods for COVID-19 medical image analysis
Kashfia Sailunaz, Tansel Özyer, Jon Rokne, et al.
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 6, pp. 1257-1297
Open Access | Times Cited: 22
A Systematic Literature Review and Future Perspectives for Handling Big Data Analytics in COVID-19 Diagnosis
Nagamani Tenali, G. Rama Mohan Babu
New Generation Computing (2023) Vol. 41, Iss. 2, pp. 243-280
Open Access | Times Cited: 21
Classification and Localization of Multi-Type Abnormalities on Chest X-Rays Images
Abdussalam Elhanashi, Sergio Saponara, Qinghe Zheng
IEEE Access (2023) Vol. 11, pp. 83264-83277
Open Access | Times Cited: 19
SGS: SqueezeNet-guided Gaussian-kernel SVM for COVID-19 Diagnosis
Fanfeng Shi, Jiaji Wang, Vishnuvarthanan Govindaraj
Mobile Networks and Applications (2024)
Open Access | Times Cited: 8
COVID-19 chest X-ray detection through blending ensemble of CNN snapshots
Avinandan Banerjee, Arya Sarkar, Sayantan Roy, et al.
Biomedical Signal Processing and Control (2022) Vol. 78, pp. 104000-104000
Open Access | Times Cited: 27
Image enhancement techniques on deep learning approaches for automated diagnosis of COVID-19 features using CXR images
Ajay Sharma, Pramod Kumar Mishra
Multimedia Tools and Applications (2022) Vol. 81, Iss. 29, pp. 42649-42690
Open Access | Times Cited: 27
AI-enabled radiologist in the loop: novel AI-based framework to augment radiologist performance for COVID-19 chest CT medical image annotation and classification from pneumonia
Hemant Ghayvat, Muhammad Awais, Ali Kashif Bashir, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 20, pp. 14591-14609
Open Access | Times Cited: 25
Computer-aided diagnostic for classifying chest X-ray images using deep ensemble learning
Lara Visuña, Dandi Yang, Javier García-Blas, et al.
BMC Medical Imaging (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 25
The effectiveness of deep learning vs. traditional methods for lung disease diagnosis using chest X-ray images: A systematic review
Samira Sajed, Amir Sanati, Jorge Esparteiro Garcia, et al.
Applied Soft Computing (2023) Vol. 147, pp. 110817-110817
Closed Access | Times Cited: 15
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