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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:

X-ray and CT-scan-based automated detection and classification of covid-19 using convolutional neural networks (CNN)
Samritika Thakur, Aman Kumar
Biomedical Signal Processing and Control (2021) Vol. 69, pp. 102920-102920
Open Access | Times Cited: 98

Showing 1-25 of 98 citing articles:

A Hybrid Deep Learning-Based Approach for Brain Tumor Classification
Asaf Raza, Huma Ayub, Javed Ali Khan, et al.
Electronics (2022) Vol. 11, Iss. 7, pp. 1146-1146
Open Access | Times Cited: 187
A deep learning architecture for multi-class lung diseases classification using chest X-ray (CXR) images
Goram Mufarah M. Alshmrani, Qiang Ni, Richard Jiang, et al.
Alexandria Engineering Journal (2022) Vol. 64, pp. 923-935
Open Access | Times Cited: 132
COVID-19 Detection Based on Lung Ct Scan Using Deep Learning Techniques
S. V. Kogilavani, Prabhu Jayagopal, R. Sandhiya, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 120
COVID-19 image classification using deep learning: Advances, challenges and opportunities
Priya Aggarwal, Narendra Kumar Mishra, Binish Fatimah, et al.
Computers in Biology and Medicine (2022) Vol. 144, pp. 105350-105350
Open Access | Times Cited: 114
A lightweight CNN-based network on COVID-19 detection using X-ray and CT images
Mei‐Ling Huang, Yu-Chieh Liao
Computers in Biology and Medicine (2022) Vol. 146, pp. 105604-105604
Open Access | Times Cited: 70
BTC-fCNN: Fast Convolution Neural Network for Multi-class Brain Tumor Classification
Basant S. Abd El-Wahab, Mohamed E. Nasr, S. Khamis, et al.
Health Information Science and Systems (2023) Vol. 11, Iss. 1
Open Access | Times Cited: 40
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
Abolfazl Younesi, Mohsen Ansari, MohammadAmin Fazli, et al.
IEEE Access (2024) Vol. 12, pp. 41180-41218
Open Access | Times Cited: 28
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
Learning-to-augment incorporated noise-robust deep CNN for detection of COVID-19 in noisy X-ray images
Adel Akbarimajd, Nicolas Hoertel, Mohammad Arafat Hussain, et al.
Journal of Computational Science (2022) Vol. 63, pp. 101763-101763
Open Access | Times Cited: 37
A Systematic Review on Federated Learning in Medical Image Analysis
Md Fahimuzzman Sohan, Anas Basalamah
IEEE Access (2023) Vol. 11, pp. 28628-28644
Open Access | Times Cited: 36
Comparison of CNN Classification Model using Machine Learning with Bayesian Optimizer
Sugiyarto Surono, M. Yahya Firza Afitian, Anggi Setyawan, et al.
HighTech and Innovation Journal (2023) Vol. 4, Iss. 3, pp. 531-542
Open Access | Times Cited: 22
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: 8
Learning-to-augment strategy using noisy and denoised data: Improving generalizability of deep CNN for the detection of COVID-19 in X-ray images
Mohammad Momeny, Ali Asghar Neshat, Mohammad Arafat Hussain, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104704-104704
Open Access | Times Cited: 49
COVID-19 diagnosis from routine blood tests using artificial intelligence techniques
Samin Babaei Rikan, Amir Sorayaie Azar, Ali Ghafari, et al.
Biomedical Signal Processing and Control (2021) Vol. 72, pp. 103263-103263
Open Access | Times Cited: 46
D2BOF-COVIDNet: A Framework of Deep Bayesian Optimization and Fusion-Assisted Optimal Deep Features for COVID-19 Classification Using Chest X-ray and MRI Scans
Ameer Hamza, Muhammad Attique Khan, Majed Alhaisoni, et al.
Diagnostics (2022) Vol. 13, Iss. 1, pp. 101-101
Open Access | Times Cited: 34
A Novel Fusion Model of Hand-Crafted Features With Deep Convolutional Neural Networks for Classification of Several Chest Diseases Using X-Ray Images
Hassaan Malik, Tayyaba Anees, Muhammad Umar Chaudhry, et al.
IEEE Access (2023) Vol. 11, pp. 39243-39268
Open Access | Times Cited: 20
Convolutional neural network-based real-time mosquito genus identification using wingbeat frequency: A binary and multiclass classification approach
Endra Joelianto, Miranti Indar Mandasari, Daniel Beltsazar Marpaung, et al.
Ecological Informatics (2024) Vol. 80, pp. 102495-102495
Open Access | Times Cited: 5
Concatenation of Pre-Trained Convolutional Neural Networks for Enhanced COVID-19 Screening Using Transfer Learning Technique
Oussama El Gannour, Soufiane Hamida, Bouchaib Cherradi, et al.
Electronics (2021) Vol. 11, Iss. 1, pp. 103-103
Open Access | Times Cited: 39
A deep convolutional neural network approach using medical image classification
Mohammad Mousavi, Soodeh Hosseini
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
AlzONet: a deep learning optimized framework for multiclass Alzheimer’s disease diagnosis using MRI brain imaging
Hiba A. Alahmed, Ghaida A. Al–Suhail
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access
Medical Imaging-based Artificial Intelligence in Pneumonia: A Narrative Review
Yanping Yang, Wenyu Xing, Yiwen Liu, et al.
Neurocomputing (2025), pp. 129731-129731
Closed Access
Adaptive Fusion Attention for enhanced classification and interpretability in medical imaging
Nagur Shareef Shaik, N. Veeranjaneulu, Jyostna Devi Bodapati
Machine Vision and Applications (2025) Vol. 36, Iss. 3
Closed Access
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
Machine intelligence in dynamical systems: \A state‐of‐art review
Arup Kumar Sahoo, Snehashish Chakraverty
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2022) Vol. 12, Iss. 4
Closed Access | Times Cited: 18
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
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