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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 anomaly detection and classification method based on supervised machine learning of chest X-ray images
Jamal N. Hasoon, Ali Fadel, Rasha Subhi Hameed, et al.
Results in Physics (2021) Vol. 31, pp. 105045-105045
Open Access | Times Cited: 75

Showing 1-25 of 75 citing articles:

From Blackbox to Explainable AI in Healthcare: Existing Tools and Case Studies
Parvathaneni Naga Srinivasu, N. Sandhya, Rutvij H. Jhaveri, et al.
Mobile Information Systems (2022) Vol. 2022, pp. 1-20
Open Access | Times Cited: 98
Detection and classification of COVID-19 disease from X-ray images using convolutional neural networks and histogram of oriented gradients
Aleka Melese Ayalew, Ayodeji Olalekan Salau, Bekalu Tadele Abeje, et al.
Biomedical Signal Processing and Control (2022) Vol. 74, pp. 103530-103530
Open Access | Times Cited: 75
A systematic literature review on deep learning approaches for pneumonia detection using chest X-ray images
Shagun Sharma, Kalpna Guleria
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 24101-24151
Closed Access | Times Cited: 64
A Multi-Agent Deep Reinforcement Learning Approach for Enhancement of COVID-19 CT Image Segmentation
Hanane Allioui, Mazin Abed Mohammed, Narjes Benameur, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 2, pp. 309-309
Open Access | Times Cited: 67
A new brain tumor diagnostic model: Selection of textural feature extraction algorithms and convolution neural network features with optimization algorithms
Erdal Başaran
Computers in Biology and Medicine (2022) Vol. 148, pp. 105857-105857
Closed Access | Times Cited: 43
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
Chest X-ray Images for Lung Disease Detection Using Deep Learning Techniques: A Comprehensive Survey
Mohammed A. A. Al‐qaness, Jie Zhu, Dalal AL-Alimi, et al.
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 6, pp. 3267-3301
Closed Access | Times Cited: 10
Automatic COVID-19 Lung Infection Segmentation through Modified Unet Model
Sania Shamim, Mazhar Javed Awan, Azlan Mohd Zain, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 37
Automated System for Identifying COVID-19 Infections in Computed Tomography Images Using Deep Learning Models
Karrar Hameed Abdulkareem, Salama A. Mostafa, Zainab N. Al-Qudsy, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 34
Novel Crow Swarm Optimization Algorithm and Selection Approach for Optimal Deep Learning COVID-19 Diagnostic Model
Mazin Abed Mohammed, Belal Al‐Khateeb, Mohammed Yousif, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-22
Open Access | Times Cited: 33
Effective hybrid deep learning model forCOVID‐19 patterns identification usingCTimages
Dheyaa Ahmed Ibrahim, Dilovan Asaad Zebari, Hussam J. Mohammed, et al.
Expert Systems (2022) Vol. 39, Iss. 10
Open Access | Times Cited: 31
Review of medical image processing using quantum-enabled algorithms
Fei Yan, Hesheng Huang, Witold Pedrycz, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 8
Performance Analysis for COVID-19 Diagnosis Using Custom and State-of-the-Art Deep Learning Models
Ali Tariq Nagi, Mazhar Javed Awan, Mazin Abed Mohammed, et al.
Applied Sciences (2022) Vol. 12, Iss. 13, pp. 6364-6364
Open Access | Times Cited: 27
TOPSIS aided ensemble of CNN models for screening COVID-19 in chest X-ray images
Rishav Pramanik, Subhrajit Dey, Samir Malakar, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 27
QUCoughScope: An Intelligent Application to Detect COVID-19 Patients Using Cough and Breath Sounds
Tawsifur Rahman, Nabil Ibtehaz, Amith Khandakar, et al.
Diagnostics (2022) Vol. 12, Iss. 4, pp. 920-920
Open Access | Times Cited: 26
MorphAttnNet: An Attention-based morphology framework for lung cancer subtype classification
Amitava Halder, Debangshu Dey
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105149-105149
Closed Access | Times Cited: 15
Classification of spinal curvature types using radiography images: deep learning versus classical methods
Parisa Tavana, Mahdi Akraminia, Abbas Koochari, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 11, pp. 13259-13291
Open Access | Times Cited: 12
Edge intelligence-assisted smart healthcare solution for health pandemic: a federated environment approach
Ankush Manocha, Sandeep K. Sood, Munish Bhatia
Cluster Computing (2024) Vol. 27, Iss. 5, pp. 5611-5630
Closed Access | Times Cited: 4
A comprehensive fusion model for improved pneumonia prediction based on KNN-wavelet-GLCM and a residual network
Asmaa Shati, Ghulam Mubashar Hassan, Amitava Datta
Intelligent Systems with Applications (2025), pp. 200492-200492
Open Access
Novel autoencoder model for accurate detection of anomaly in medical image comparing with KNN (K-nearest neighbours) based outlier detection
N Bala Sai Vijay Krishna, P. Sriramya
AIP conference proceedings (2025) Vol. 3252, pp. 020179-020179
Closed Access
Optimized Residual Attention Based Generalized Adversarial Network for COVID‐19 Classification Using Chest CT Images
A. V. P. Sarvari, K. Sridevi
Computational Intelligence (2025) Vol. 41, Iss. 2
Open Access
Improved bounding box segmentation technique for crowd anomaly detection with optimal trained convolutional neural network
B. S. Rashmi, I Sowmy
Network Computation in Neural Systems (2025), pp. 1-54
Closed Access
Deep multi-view feature learning for detecting COVID-19 based on chest X-ray images
Hamidreza Hosseinzadeh
Biomedical Signal Processing and Control (2022) Vol. 75, pp. 103595-103595
Open Access | Times Cited: 18
COVID-RDNet: A novel coronavirus pneumonia classification model using the mixed dataset by CT and X-rays images
Lingling Fang, Xin Wang
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 3, pp. 977-994
Open Access | Times Cited: 15
Performance optimization of hunger games search for multi-threshold COVID-19 image segmentation
Shuhui Hao, Changcheng Huang, Ali Asghar Heidari, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 24005-24044
Closed Access | Times Cited: 8
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