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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:

Deep Learning System for COVID-19 Diagnosis Aid Using X-ray Pulmonary Images
Javier Civit-Masot, Francisco Luna-Perejón, Manuel Domínguez-Morales, et al.
Applied Sciences (2020) Vol. 10, Iss. 13, pp. 4640-4640
Open Access | Times Cited: 167

Showing 1-25 of 167 citing articles:

Classification of Skin Disease Using Deep Learning Neural Networks with MobileNet V2 and LSTM
Parvathaneni Naga Srinivasu, Jalluri Gnana SivaSai, Muhammad Fazal Ijaz, et al.
Sensors (2021) Vol. 21, Iss. 8, pp. 2852-2852
Open Access | Times Cited: 543
A review on deep learning in medical image analysis
S. Suganyadevi, V. Seethalakshmi, K. Balasamy
International Journal of Multimedia Information Retrieval (2021) Vol. 11, Iss. 1, pp. 19-38
Open Access | Times Cited: 372
A deep learning approach to detect Covid-19 coronavirus with X-Ray images
Govardhan Jain, Deepti Mittal, Daksh Thakur, et al.
Journal of Applied Biomedicine (2020) Vol. 40, Iss. 4, pp. 1391-1405
Open Access | Times Cited: 294
Attention-based VGG-16 model for COVID-19 chest X-ray image classification
Chiranjibi Sitaula, Mohammad Belayet Hossain
Applied Intelligence (2020) Vol. 51, Iss. 5, pp. 2850-2863
Open Access | Times Cited: 294
Applications of artificial intelligence in battling against covid-19: A literature review
Mohammad-H. Tayarani N.
Chaos Solitons & Fractals (2020) Vol. 142, pp. 110338-110338
Open Access | Times Cited: 195
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
Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches
Zaid Abdi Alkareem Alyasseri, Mohammed Azmi Al‐Betar, Iyad Abu Doush, et al.
Expert Systems (2021) Vol. 39, Iss. 3
Open Access | Times Cited: 140
Application of Machine Learning in Diagnosis of COVID-19 Through X-Ray and CT Images: A Scoping Review
Hossein Mohammad‐Rahimi, Mohadeseh Nadimi, Azadeh Ghalyanchi‐Langeroudi, et al.
Frontiers in Cardiovascular Medicine (2021) Vol. 8
Open Access | Times Cited: 90
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
Transfer Learning to Detect COVID-19 Automatically from X-Ray Images Using Convolutional Neural Networks
Mundher Mohammed Taresh, Ningbo Zhu, Talal Ahmed Ali Ali, et al.
International Journal of Biomedical Imaging (2021) Vol. 2021, pp. 1-9
Open Access | Times Cited: 88
Artificial Intelligence Applied to Chest X-Ray Images for the Automatic Detection of COVID-19. A Thoughtful Evaluation Approach
Julián D. Arias-Londoño, Jorge A. Gómez-García, Laureano Moro-Velázquez, et al.
IEEE Access (2020) Vol. 8, pp. 226811-226827
Open Access | Times Cited: 87
COVID-19 detection in X-ray images using convolutional neural networks
Daniel Arias-Garzón, Jesús Alejandro Alzate-Grisales, Simón Orozco-Arias, et al.
Machine Learning with Applications (2021) Vol. 6, pp. 100138-100138
Open Access | Times Cited: 85
Covid-19 Imaging Tools: How Big Data is Big?
K. C. Santosh, Sourodip Ghosh
Journal of Medical Systems (2021) Vol. 45, Iss. 7
Open Access | Times Cited: 62
Comprehensive Survey of Using Machine Learning in the COVID-19 Pandemic
Nora El-Rashidy, Samir Abdelrazik, Tamer Abuhmed, et al.
Diagnostics (2021) Vol. 11, Iss. 7, pp. 1155-1155
Open Access | Times Cited: 57
Machine Learning-Based Research for COVID-19 Detection, Diagnosis, and Prediction: A Survey
Yassine Meraihi, Asma Benmessaoud Gabis, Seyedali Mirjalili, et al.
SN Computer Science (2022) Vol. 3, Iss. 4
Open Access | Times Cited: 51
Non-small cell lung cancer diagnosis aid with histopathological images using Explainable Deep Learning techniques
Javier Civit-Masot, Alejandro Bañuls-Beaterio, Manuel Domínguez-Morales, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107108-107108
Open Access | Times Cited: 46
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
An Efficient Deep Learning Model to Detect COVID-19 Using Chest X-ray Images
Somenath Chakraborty, Beddhu Murali, Amal K. Mitra
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 4, pp. 2013-2013
Open Access | Times Cited: 40
Incremental learning-based cascaded model for detection and localization of tuberculosis from chest x-ray images
Satvik Vats, Vikrant Sharma, Karan Singh, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122129-122129
Closed Access | Times Cited: 27
Advances in Deep Learning for Medical Image Analysis: A Comprehensive Investigation
Rajeev Ranjan Kumar, S. Vishnu Shankar, Ronit Jaiswal, et al.
Journal of Statistical Theory and Practice (2025) Vol. 19, Iss. 1
Closed Access | Times Cited: 1
Domain Fusion CNN-LSTM for Short-Term Power Consumption Forecasting
Xiaorui Shao, Pu Chen, Yuxin Zhang, et al.
IEEE Access (2020) Vol. 8, pp. 188352-188362
Open Access | Times Cited: 53
Classification by a stacking model using CNN features for COVID-19 infection diagnosis
Yavuz Selim Taşpınar, İlkay Çınar, Murat Köklü
Journal of X-Ray Science and Technology (2021) Vol. 30, Iss. 1, pp. 73-88
Open Access | Times Cited: 50
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
Intelligent system for COVID-19 prognosis: a state-of-the-art survey
Janmenjoy Nayak, Bighnaraj Naik, Savithramma P. Dinesh‐Kumar, et al.
Applied Intelligence (2021) Vol. 51, Iss. 5, pp. 2908-2938
Open Access | Times Cited: 48
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
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