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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 detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoost
Hamid Nasiri, Sharif Hasani
Radiography (2022) Vol. 28, Iss. 3, pp. 732-738
Open Access | Times Cited: 88

Showing 26-50 of 88 citing articles:

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
In Vivo Confocal Microscopy for Automated Detection of Meibomian Gland Dysfunction: A Study Based on Deep Convolutional Neural Networks
Qian‐Min Ge, Jinyan Lin, Yeye Zhang, et al.
Deleted Journal (2025)
Closed Access
Classification of COVID-19 in Chest X-ray Images Using Fusion of Deep Features and LightGBM
Hamid Nasiri, Ghazal Kheyroddin, Morteza Dorrigiv, et al.
2022 IEEE World AI IoT Congress (AIIoT) (2022), pp. 201-206
Open Access | Times Cited: 19
CCTCOVID: COVID-19 detection from chest X-ray images using Compact Convolutional Transformers
Abdolreza Marefat, Mahdieh Marefat, Javad Hassannataj Joloudari, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 12
Review on chest pathogies detection systems using deep learning techniques
Arshia Rehman, Ahmad Khan, Gohar Fatima, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 11, pp. 12607-12653
Open Access | Times Cited: 11
PD-ADSV: An automated diagnosing system using voice signals and hard voting ensemble method for Parkinson’s disease
Paria Ghaheri, Ahmadreza Shateri, Hamid Nasiri
Software Impacts (2023) Vol. 16, pp. 100504-100504
Open Access | Times Cited: 11
Data-driven XGBoost model for maximum stress prediction of additive manufactured lattice structures
Zhiwei Zhang, Yuyan Zhang, Yintang Wen, et al.
Complex & Intelligent Systems (2023) Vol. 9, Iss. 5, pp. 5881-5892
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
Diagnosis of COVID-19 Cases from Chest X-ray Images Using Deep Neural Network and LightGBM
Mobina Ezzoddin, Hamid Nasiri, Morteza Dorrigiv
(2022)
Open Access | Times Cited: 15
A Novel Deep Learning-Based Classification Framework for COVID-19 Assisted with Weighted Average Ensemble Modeling
Gouri Shankar Chakraborty, Salil Batra, Aman Singh, et al.
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1806-1806
Open Access | Times Cited: 8
An innovative ensemble model based on deep learning for predicting COVID-19 infection
Xiaoying Su, Yanfeng Sun, Liu Hong-xi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8
COV-ADSX: An Automated Detection System using X-ray Images, Deep Learning, and XGBoost for COVID-19
Sharif Hasani, Hamid Nasiri
Software Impacts (2021) Vol. 11, pp. 100210-100210
Open Access | Times Cited: 19
BLCov: A novel collaborative–competitive broad learning system for COVID-19 detection from radiology images
Guangheng Wu, Junwei Duan
Engineering Applications of Artificial Intelligence (2022) Vol. 115, pp. 105323-105323
Open Access | Times Cited: 12
COVID-AleXception: A Deep Learning Model Based on a Deep Feature Concatenation Approach for the Detection of COVID-19 from Chest X-ray Images
Manel Ayadi, Amel Ksibi, Amal Al‐Rasheed, et al.
Healthcare (2022) Vol. 10, Iss. 10, pp. 2072-2072
Open Access | Times Cited: 12
A Comparative Analysis of Skin Cancer Detection Applications Using Histogram-Based Local Descriptors
Yıldız Aydın
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3142-3142
Open Access | Times Cited: 7
Classification of COVID-19 patients from HRCT score prediction in CT images using transfer learning approach
Jitendra V. Tembhurne
Journal of Electrical Systems and Information Technology (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
A multi-level feature attention network for COVID-19 detection based on multi-source medical images
Aite Zhao, Huimin Wu, Ming Chen, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 2
Efficient-VGG16: A Novel Ensemble Method for the Classification of COVID-19 X-ray Images in Contrast to Machine and Transfer Learning
Sunil Kumar, Harish Kumar
Procedia Computer Science (2024) Vol. 235, pp. 1289-1299
Open Access | Times Cited: 2
RYOLO v4-tiny: A deep learning based detector for detection of COVID and Non-COVID Pneumonia in CT scans and X-RAY images
Akhil Kumar
Optik (2022) Vol. 268, pp. 169786-169786
Closed Access | Times Cited: 11
A hybrid convolutional neural network model to detect COVID‐19 and pneumonia using chest X‐ray images
Harsh Gupta, Naman Bansal, Swati Garg, et al.
International Journal of Imaging Systems and Technology (2022) Vol. 33, Iss. 1, pp. 39-52
Closed Access | Times Cited: 10
Detecting COVID-19 from Chest X-rays Using Convolutional Neural Network Ensembles
Tarik El Lel, Mominul Ahsan, Julfikar Haider
Computers (2023) Vol. 12, Iss. 5, pp. 105-105
Open Access | Times Cited: 5
A Novel Lightweight Approach to COVID-19 Diagnostics Based on Chest X-ray Images
Agata Giełczyk, Anna Marciniak, Martyna Tarczewska, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 19, pp. 5501-5501
Open Access | Times Cited: 8
COVID19-ResCapsNet: A Novel Residual Capsule Network for COVID-19 Detection from Chest X-Ray Scans Images
Zhihua Li, Qiwei Xing, Jiashi Zhao, et al.
IEEE Access (2023), pp. 1-1
Open Access | Times Cited: 4
Deep learning‐based COVID‐19 diagnosis using CT scans with laboratory and physiological parameters
Humam Adnan Sameer, Ammar Hussein Mutlag, Sadik Kamel Gharghan
IET Image Processing (2023) Vol. 17, Iss. 11, pp. 3127-3142
Open Access | Times Cited: 4
Centralized and Federated Learning for COVID-19 Detection With Chest X-Ray Images: Implementations and Analysis
Sadaf Naz, Khoa T. Phan, Yi‐Ping Phoebe Chen
IEEE Transactions on Emerging Topics in Computational Intelligence (2024) Vol. 8, Iss. 4, pp. 2987-3000
Closed Access | Times Cited: 1

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