Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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-XNet: A Custom Deep Learning System to Diagnose and Locate COVID-19 in Chest X-ray Images
Lourdes Durán-López, Juan P. Dominguez‐Morales, Jesús Corral-Jaime, et al.
Applied Sciences (2020) Vol. 10, Iss. 16, pp. 5683-5683
Open Access | Times Cited: 89

Showing 1-25 of 89 citing articles:

Automatic COVID-19 detection from X-ray images using ensemble learning with convolutional neural network
Amit Kumar Das, Sayantani Ghosh, Samiruddin Thunder, et al.
Pattern Analysis and Applications (2021) Vol. 24, Iss. 3, pp. 1111-1124
Open Access | Times Cited: 178
COVID-19 Detection from Chest X-ray Images Using Feature Fusion and Deep Learning
Nur-A-Alam Alam, Mominul Ahsan, Md. Abdul Based, et al.
Sensors (2021) Vol. 21, Iss. 4, pp. 1480-1480
Open Access | Times Cited: 166
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
A comparative study of X-ray and CT images in COVID-19 detection using image processing and deep learning techniques
H. Mary Shyni, E. Chitra
Computer Methods and Programs in Biomedicine Update (2022) Vol. 2, pp. 100054-100054
Open Access | Times Cited: 56
A deep learning approach for classification of COVID and pneumonia using DenseNet‐201
Harshal A. Sanghvi, Riki Patel, Ankur Agarwal, et al.
International Journal of Imaging Systems and Technology (2022) Vol. 33, Iss. 1, pp. 18-38
Open Access | Times Cited: 45
A novel deep neural network model based Xception and genetic algorithm for detection of COVID-19 from X-ray images
Burak Gülmez
Annals of Operations Research (2022) Vol. 328, Iss. 1, pp. 617-641
Open Access | Times Cited: 41
AI-based radiodiagnosis using chest X-rays: A review
Yasmeena Akhter, Richa Singh, Mayank Vatsa
Frontiers in Big Data (2023) Vol. 6
Open Access | Times Cited: 23
Role of Artificial Intelligence in COVID-19 Detection
Anjan Gudigar, U. Raghavendra, Sneha Nayak, et al.
Sensors (2021) Vol. 21, Iss. 23, pp. 8045-8045
Open Access | Times Cited: 49
Medical image processing and COVID-19: A literature review and bibliometric analysis
Rabab Ali Abumalloh, Mehrbakhsh Nilashi, Muhammed Yousoof Ismail, et al.
Journal of Infection and Public Health (2021) Vol. 15, Iss. 1, pp. 75-93
Open Access | Times Cited: 48
COVID-19 Diagnosis in Chest X-rays Using Deep Learning and Majority Voting
Marwa Ben Jabra, Anis Koubâa, Bilel Benjdira, et al.
Applied Sciences (2021) Vol. 11, Iss. 6, pp. 2884-2884
Open Access | Times Cited: 43
Improved COVID-19 detection with chest x-ray images using deep learning
Vedika Gupta, Nikita Jain, Jatin Sachdeva, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 26, pp. 37657-37680
Open Access | Times Cited: 30
Using a Deep Learning Model to Explore the Impact of Clinical Data on COVID-19 Diagnosis Using Chest X-ray
Irfan Ullah Khan, Nida Aslam, Talha Anwar, et al.
Sensors (2022) Vol. 22, Iss. 2, pp. 669-669
Open Access | Times Cited: 29
A comparative study of the inter-observer variability on Gleason grading against Deep Learning-based approaches for prostate cancer
Jose Manuel Marron-Esquivel, Lourdes Durán-López, A. Linares-Barranco, et al.
Computers in Biology and Medicine (2023) Vol. 159, pp. 106856-106856
Open Access | Times Cited: 19
Study of Different Deep Learning Methods for Coronavirus (COVID-19) Pandemic: Taxonomy, Survey and Insights
Lamia Awassa, Imen Jdey, Habib Dhahri, et al.
Sensors (2022) Vol. 22, Iss. 5, pp. 1890-1890
Open Access | Times Cited: 24
Combating COVID-19 Crisis using Artificial Intelligence (AI) Based Approach: Systematic Review
Kavya Singh, Navjeet Kaur, Ashish A. Prabhu
Current Topics in Medicinal Chemistry (2024) Vol. 24, Iss. 8, pp. 737-753
Closed Access | Times Cited: 4
Edge AI-powered marine pollution classification with customized CNN model
Palanisamy Shanmugam, Talal Bonny, Nida Nasir, et al.
Neural Computing and Applications (2025)
Closed Access
HOG + CNN Net: Diagnosing COVID-19 and Pneumonia by Deep Neural Network from Chest X-Ray Images
Mohammad Marufur Rahman, Sheikh Nooruddin, K. M. Azharul Hasan, et al.
SN Computer Science (2021) Vol. 2, Iss. 5
Open Access | Times Cited: 32
Audio texture analysis of COVID-19 cough, breath, and speech sounds
Garima Sharma, Karthikeyan Umapathy, Sri Krishnan
Biomedical Signal Processing and Control (2022) Vol. 76, pp. 103703-103703
Open Access | Times Cited: 21
Explainable Machine Learning for COVID-19 Pneumonia Classification With Texture-Based Features Extraction in Chest Radiography
Luís Vinícius de Moura, Christian Mattjie, Caroline Machado Dartora, et al.
Frontiers in Digital Health (2022) Vol. 3
Open Access | Times Cited: 19
Deep Learning for Covid-19 Screening Using Chest X-Rays in 2020: A Systematic Review
K. C. Santosh, Supriti Ghosh, Debasmita GhoshRoy
International Journal of Pattern Recognition and Artificial Intelligence (2022) Vol. 36, Iss. 05
Closed Access | Times Cited: 19
Artificial Intelligence in COVID-19 Management: A Systematic Review
Samaneh Mohammadi, Samaneh Mohammadi, SeyedAhmad SeyedAlinaghi, et al.
Journal of Computer Science (2023) Vol. 19, Iss. 5, pp. 554-568
Open Access | Times Cited: 12
Improving explainable AI with patch perturbation-based evaluation pipeline: a COVID-19 X-ray image analysis case study
Jimin Sun, Wenqi Shi, Felipe Giuste, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11
A new deep learning pipeline to detect Covid-19 on chest X-ray images using local binary pattern, dual tree complex wavelet transform and convolutional neural networks
Hüseyin Yaşar, Murat Ceylan
Applied Intelligence (2020) Vol. 51, Iss. 5, pp. 2740-2763
Open Access | Times Cited: 29
AnkFall—Falls, Falling Risks and Daily-Life Activities Dataset with an Ankle-Placed Accelerometer and Training Using Recurrent Neural Networks
Francisco Luna-Perejón, Luis Muñoz-Saavedra, Javier Civit-Masot, et al.
Sensors (2021) Vol. 21, Iss. 5, pp. 1889-1889
Open Access | Times Cited: 26
Transfer Learning for the Detection and Diagnosis of Types of Pneumonia including Pneumonia Induced by COVID-19 from Chest X-ray Images
Yusuf Brima, Marcellin Atemkeng, S.R. Tankio Djiokap, et al.
Diagnostics (2021) Vol. 11, Iss. 8, pp. 1480-1480
Open Access | Times Cited: 26
Page 1 - Next Page

Scroll to top