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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:

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

Showing 1-25 of 140 citing articles:

From Blackbox to Explainable AI in Healthcare: Existing Tools and Case Studies
Parvathaneni Naga Srinivasu, N. Sandhya, Rutvij H. Jhaveri, et al.
Mobile Information Systems (2022) Vol. 2022, pp. 1-20
Open Access | Times Cited: 93
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: 92
A systematic literature review on deep learning approaches for pneumonia detection using chest X-ray images
Shagun Sharma, Kalpna Guleria
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 24101-24151
Closed Access | Times Cited: 64
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: 52
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: 49
Review on the Evaluation and Development of Artificial Intelligence for COVID-19 Containment
Md. Mahadi Hasan, Muhammad Usama Islam, Muhammad Jafar Sadeq, et al.
Sensors (2023) Vol. 23, Iss. 1, pp. 527-527
Open Access | Times Cited: 46
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 novel data augmentation based on Gabor filter and convolutional deep learning for improving the classification of COVID-19 chest X-Ray images
Amir Hossein Barshooi, Abdollah Amirkhani
Biomedical Signal Processing and Control (2021) Vol. 72, pp. 103326-103326
Open Access | Times Cited: 82
COVID-19 Case Recognition from Chest CT Images by Deep Learning, Entropy-Controlled Firefly Optimization, and Parallel Feature Fusion
Muhammad Attique Khan, Majed Alhaisoni, Usman Tariq, et al.
Sensors (2021) Vol. 21, Iss. 21, pp. 7286-7286
Open Access | Times Cited: 78
A Multi-Agent Deep Reinforcement Learning Approach for Enhancement of COVID-19 CT Image Segmentation
Hanane Allioui, Mazin Abed Mohammed, Narjes Benameur, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 2, pp. 309-309
Open Access | Times Cited: 66
Reported Adverse Effects and Attitudes among Arab Populations Following COVID-19 Vaccination: A Large-Scale Multinational Study Implementing Machine Learning Tools in Predicting Post-Vaccination Adverse Effects Based on Predisposing Factors
Ma’mon M. Hatmal, Mohammad A. I. Al-Hatamleh, Amin N. Olaimat, et al.
Vaccines (2022) Vol. 10, Iss. 3, pp. 366-366
Open Access | Times Cited: 60
A privacy-aware method for COVID-19 detection in chest CT images using lightweight deep conventional neural network and blockchain
Arash Heidari, Shiva Toumaj, Nima Jafari Navimipour, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105461-105461
Open Access | Times Cited: 56
Review of Machine Learning in Lung Ultrasound in COVID-19 Pandemic
Jing Wang, Xiaofeng Yang, Boran Zhou, et al.
Journal of Imaging (2022) Vol. 8, Iss. 3, pp. 65-65
Open Access | Times Cited: 45
An Intelligent ECG-Based Tool for Diagnosing COVID-19 via Ensemble Deep Learning Techniques
Omneya Attallah
Biosensors (2022) Vol. 12, Iss. 5, pp. 299-299
Open Access | Times Cited: 43
RADIC:A tool for diagnosing COVID-19 from chest CT and X-ray scans using deep learning and quad-radiomics
Omneya Attallah
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 233, pp. 104750-104750
Open Access | Times Cited: 36
COVID-19 CT-images diagnosis and severity assessment using machine learning algorithm
Zaid Albataineh, Fatima Aldrweesh, Mohammad A. Alzubaidi
Cluster Computing (2023) Vol. 27, Iss. 1, pp. 547-562
Open Access | Times Cited: 22
AI-powered COVID-19 forecasting: a comprehensive comparison of advanced deep learning methods
Muhammad Usman Tariq, Shuhaida Ismail
Osong Public Health and Research Perspectives (2024) Vol. 15, Iss. 2, pp. 115-136
Open Access | Times Cited: 12
MOX-NET: Multi-stage deep hybrid feature fusion and selection framework for monkeypox classification
Sarmad Maqsood, Robertas Damaševičius, Sana Shahid, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124584-124584
Closed Access | Times Cited: 12
A Novel Ensemble Framework for Multi-Classification of Brain Tumors Using Magnetic Resonance Imaging
Yasemın Çetın-Kaya, Mahır Kaya
Diagnostics (2024) Vol. 14, Iss. 4, pp. 383-383
Open Access | Times Cited: 10
Automatic COVID-19 Lung Infection Segmentation through Modified Unet Model
Sania Shamim, Mazhar Javed Awan, Azlan Mohd Zain, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 37
A computer-aided diagnostic framework for coronavirus diagnosis using texture-based radiomics images
Omneya Attallah
Digital Health (2022) Vol. 8, pp. 205520762210925-205520762210925
Open Access | Times Cited: 36
A wavelet-based deep learning pipeline for efficient COVID-19 diagnosis via CT slices
Omneya Attallah, Ahmed Samir
Applied Soft Computing (2022) Vol. 128, pp. 109401-109401
Open Access | Times Cited: 36
Automated System for Identifying COVID-19 Infections in Computed Tomography Images Using Deep Learning Models
Karrar Hameed Abdulkareem, Salama A. Mostafa, Zainab N. Al-Qudsy, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 34
Machine Learning, Deep Learning, and Mathematical Models to Analyze Forecasting and Epidemiology of COVID-19: A Systematic Literature Review
Farrukh Saleem, Abdullah Alghamdi, Madini O. Alassafi, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 9, pp. 5099-5099
Open Access | Times Cited: 34
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