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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:

Automated COVID-19 detection from X-ray and CT images with stacked ensemble convolutional neural network
Mahesh Gour, Sweta Jain
Journal of Applied Biomedicine (2021) Vol. 42, Iss. 1, pp. 27-41
Open Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

The internet of medical things and artificial intelligence: trends, challenges, and opportunities
Kourosh Kakhi, Roohallah Alizadehsani, H M Dipu Kabir, et al.
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 3, pp. 749-771
Closed Access | Times Cited: 88
An automated diagnosis and classification of COVID-19 from chest CT images using a transfer learning-based convolutional neural network
Nadiah A. Baghdadi, Amer Malki, Sally Mohammed Farghaly Abdelaliem, et al.
Computers in Biology and Medicine (2022) Vol. 144, pp. 105383-105383
Open Access | Times Cited: 79
Deep learning models-based CT-scan image classification for automated screening of COVID-19
Kapil Gupta, Varun Bajaj
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104268-104268
Open Access | Times Cited: 69
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: 46
Auto-detection of the coronavirus disease by using deep convolutional neural networks and X-ray photographs
Ahmad MohdAziz Hussein, Abdulrauf Garba Sharifai, Osama Moh’d Alia, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 20
Detection of pneumonia using convolutional neural networks and deep learning
Patrik Szepesi, László Szilágyi
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 3, pp. 1012-1022
Open Access | Times Cited: 66
COVID-19 detection on chest X-ray images using Homomorphic Transformation and VGG inspired deep convolutional neural network
Gerosh Shibu George, Pratyush Raj Mishra, Panav Sinha, et al.
Journal of Applied Biomedicine (2022) Vol. 43, Iss. 1, pp. 1-16
Open Access | Times Cited: 40
Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19
Md. Nahiduzzaman, Md. Omaer Faruq Goni, Rakibul Hassan, et al.
Expert Systems with Applications (2023) Vol. 229, pp. 120528-120528
Open Access | Times Cited: 33
Nature-Inspired Algorithms-Based Optimal Features Selection Strategy for COVID-19 Detection Using Medical Images
Law Kumar Singh, Munish Khanna, Himanshu Monga, et al.
New Generation Computing (2024) Vol. 42, Iss. 4, pp. 761-824
Closed Access | Times Cited: 12
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
Stacking Ensemble and ECA-EfficientNetV2 Convolutional Neural Networks on Classification of Multiple Chest Diseases Including COVID-19
Mei‐Ling Huang, Yu-Chieh Liao
Academic Radiology (2022) Vol. 30, Iss. 9, pp. 1915-1935
Open Access | Times Cited: 27
Detection of various lung diseases including COVID-19 using extreme learning machine algorithm based on the features extracted from a lightweight CNN architecture
Md. Nahiduzzaman, Md. Omaer Faruq Goni, Md. Robiul Islam, et al.
Journal of Applied Biomedicine (2023) Vol. 43, Iss. 3, pp. 528-550
Open Access | Times Cited: 17
Unlocking the Power of 3D Convolutional Neural Networks for COVID-19 Detection: A Comprehensive Review
Ademola E. Ilesanmi, Taiwo Ilesanmi, Babatunde O. Ajayi, et al.
Deleted Journal (2025)
Closed Access
Quantitative Assessment of XAI Methods for COVID-19 Detection: A Comparative Approach
Reenu Rajpoot, Sweta Jain, Vijay Bhaskar Semwal, et al.
SN Computer Science (2025) Vol. 6, Iss. 2
Closed Access
Automated diagnosis of COVID stages from lung CT images using statistical features in 2-dimensional flexible analytic wavelet transform
Rajneesh Kumar Patel, Manish Kashyap
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 3, pp. 829-841
Open Access | Times Cited: 22
A Deep learning based data augmentation method to improve COVID-19 detection from medical imaging
Djamila Romaissa Beddiar, Mourad Oussalah, Usman Muhammad, et al.
Knowledge-Based Systems (2023) Vol. 280, pp. 110985-110985
Open Access | Times Cited: 13
LitefusionNet: Boosting the performance for medical image classification with an intelligent and lightweight feature fusion network
Sohaib Asif, Q Ul Ain, Raeed Al-Sabri, et al.
Journal of Computational Science (2024) Vol. 80, pp. 102324-102324
Closed Access | Times Cited: 4
EO-CNN: Equilibrium Optimization-Based hyperparameter tuning for enhanced pneumonia and COVID-19 detection using AlexNet and DarkNet19
Soner Kızıloluk, Eser Sert, Mohamed Hammad, et al.
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 3, pp. 635-650
Closed Access | Times Cited: 4
Application of neighborhood-scale wastewater-based epidemiology in low COVID-19 incidence situations
Chamteut Oh, Aijia Zhou, Kate O’Brien, et al.
The Science of The Total Environment (2022) Vol. 852, pp. 158448-158448
Open Access | Times Cited: 21
TL-med: A Two-stage transfer learning recognition model for medical images of COVID-19
Jiana Meng, Zhiyong Tan, Yuhai Yu, et al.
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 3, pp. 842-855
Open Access | Times Cited: 20
AI-based wavelet and stacked deep learning architecture for detecting coronavirus (COVID-19) from chest X-ray images
Rajkumar Soundrapandiyan, Himanshu Naidu, Marimuthu Karuppiah, et al.
Computers & Electrical Engineering (2023) Vol. 108, pp. 108711-108711
Open Access | Times Cited: 10
Application of Convolutional Neural Networks for COVID-19 Detection in X-ray Images Using InceptionV3 and U-Net
Aman Gupta, Shashank Mishra, Sourav Chandan Sahu, et al.
New Generation Computing (2023) Vol. 41, Iss. 2, pp. 475-502
Open Access | Times Cited: 10
M-EOS: modified-equilibrium optimization-based stacked CNN for insider threat detection
A. Anju, M. Krishnamurthy
Wireless Networks (2024) Vol. 30, Iss. 4, pp. 2819-2838
Closed Access | Times Cited: 3
Deep Convolutional Neural Networks for Detecting COVID-19 Using Medical Images: A Survey
Rana Khattab, Islam R. Abdelmaksoud, Samir Abdelrazek
New Generation Computing (2023) Vol. 41, Iss. 2, pp. 343-400
Open Access | Times Cited: 9
A Novel Snore Detection and Suppression Method for a Flexible Patch With MEMS Microphone and Accelerometer
Chunhua He, Jiewen Tan, Xuelei Jian, et al.
IEEE Internet of Things Journal (2022) Vol. 9, Iss. 24, pp. 25791-25804
Closed Access | Times Cited: 14
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