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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:

InstaCovNet-19: A deep learning classification model for the detection of COVID-19 patients using Chest X-ray
Anunay Gupta, Anjum Ansari, Shreyansh Gupta, et al.
Applied Soft Computing (2020) Vol. 99, pp. 106859-106859
Open Access | Times Cited: 217

Showing 1-25 of 217 citing articles:

CNN-based transfer learning–BiLSTM network: A novel approach for COVID-19 infection detection
Muhammet Fatih Aslan, Muhammed Fahri Ünlerşen, Kadir Sabancı, et al.
Applied Soft Computing (2020) Vol. 98, pp. 106912-106912
Open Access | Times Cited: 312
Federated learning for COVID-19 screening from Chest X-ray images
I. Féki, Sourour Ammar, Yousri Kessentini, et al.
Applied Soft Computing (2021) Vol. 106, pp. 107330-107330
Open Access | Times Cited: 194
Robotics and artificial intelligence in healthcare during COVID-19 pandemic: A systematic review
Sujan Sarker, Lafifa Jamal, Syeda Faiza Ahmed, et al.
Robotics and Autonomous Systems (2021) Vol. 146, pp. 103902-103902
Open Access | Times Cited: 152
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: 131
A new approach for computer-aided detection of coronavirus (COVID-19) from CT and X-ray images using machine learning methods
Ahmet Saygılı
Applied Soft Computing (2021) Vol. 105, pp. 107323-107323
Open Access | Times Cited: 114
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: 113
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: 90
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: 81
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
RETRACTED ARTICLE: A MobileNet-based CNN model with a novel fine-tuning mechanism for COVID-19 infection detection
Yasin Kaya, Ercan Gürsoy
Soft Computing (2023) Vol. 27, Iss. 9, pp. 5521-5535
Open Access | Times Cited: 70
DMFL_Net: A Federated Learning-Based Framework for the Classification of COVID-19 from Multiple Chest Diseases Using X-rays
Hassaan Malik, Ahmad Naeem, Rizwan Ali Naqvi, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 743-743
Open Access | Times Cited: 45
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron
Asifullah Khan, Saddam Hussain Khan, Mahrukh Saif, et al.
Journal of Experimental & Theoretical Artificial Intelligence (2023) Vol. 36, Iss. 8, pp. 1779-1821
Open Access | Times Cited: 44
Lightweight deep CNN-based models for early detection of COVID-19 patients from chest X-ray images
Haval I. Hussein, Abdulhakeem O. Mohammed, Masoud Muhammed Hassan, et al.
Expert Systems with Applications (2023) Vol. 223, pp. 119900-119900
Open Access | Times Cited: 44
DSENetk: An Efficient Deep Stacking Ensemble Approach for COVID-19 Induced Pneumonia Prediction Using Radiograph Images
Sandeep Chaurasia, Amit Kumar Gupta‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Pramil Tiwari, et al.
SN Computer Science (2025) Vol. 6, Iss. 1
Closed Access | Times Cited: 2
Automatic emotion recognition using deep neural network
R. Sujatha, Jyotir Moy Chatterjee, Baibhav Pathy, et al.
Multimedia Tools and Applications (2025)
Closed Access | Times Cited: 2
A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images
Md. Khabir Uddin Ahamed, Manowarul Islam, Md Ashraf Uddin, et al.
Computers in Biology and Medicine (2021) Vol. 139, pp. 105014-105014
Open Access | Times Cited: 98
An extended fuzzy decision-making framework using hesitant fuzzy sets for the drug selection to treat the mild symptoms of Coronavirus Disease 2019 (COVID-19)
Arunodaya Raj Mishra, Pratibha Rani, R. Krishankumar, et al.
Applied Soft Computing (2021) Vol. 103, pp. 107155-107155
Open Access | Times Cited: 88
WetNet: A Spatial–Temporal Ensemble Deep Learning Model for Wetland Classification Using Sentinel-1 and Sentinel-2
Benyamin Hosseiny, Masoud Mahdianpari, Brian Brisco, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-14
Closed Access | Times Cited: 63
CovH2SD: A COVID-19 detection approach based on Harris Hawks Optimization and stacked deep learning
Hossam Magdy Balaha, Eman M. El-Gendy, Mahmoud M. Saafan
Expert Systems with Applications (2021) Vol. 186, pp. 115805-115805
Open Access | Times Cited: 62
Detection of Covid-19 and other pneumonia cases from CT and X-ray chest images using deep learning based on feature reuse residual block and depthwise dilated convolutions neural network
Gaffari Çelik
Applied Soft Computing (2022) Vol. 133, pp. 109906-109906
Open Access | Times Cited: 59
An Overview of Deep Learning Techniques on Chest X-Ray and CT Scan Identification of COVID-19
Serena Low Woan Ching, Joon Huang Chuah, Clarence Augustine TH Tee, et al.
Computational and Mathematical Methods in Medicine (2021) Vol. 2021, pp. 1-17
Open Access | Times Cited: 58
Cyber Security Threats, Vulnerabilities, and Security Solutions Models in Banking
Diptiben Ghelani, Tan Kian Hua, Surendra Kumar Reddy Koduru
Authorea (Authorea) (2022)
Open Access | Times Cited: 58
An automated COVID-19 detection based on fused dynamic exemplar pyramid feature extraction and hybrid feature selection using deep learning
Fatih Özyurt, Türker Tuncer, Abdülhamit Subaşı
Computers in Biology and Medicine (2021) Vol. 132, pp. 104356-104356
Open Access | Times Cited: 57
Implementation of a Heart Disease Risk Prediction Model Using Machine Learning
K. Karthick, S. Aruna, Ravi Samikannu, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 53
A handheld intelligent single-molecule binary bioelectronic system for fast and reliable immunometric point-of-care testing
Eleonora Macchia, Zsolt M. Kovács‐Vajna, Daniela Loconsole, et al.
Science Advances (2022) Vol. 8, Iss. 27
Open Access | Times Cited: 51
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