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:

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: 56

Showing 1-25 of 56 citing articles:

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

Explainable machine learning models based on multimodal time-series data for the early detection of Parkinson’s disease
Muhammad Junaid, Sajid Ali, Fatma Eid, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 234, pp. 107495-107495
Closed Access | Times Cited: 41

Viral outbreaks detection and surveillance using wastewater-based epidemiology, viral air sampling, and machine learning techniques: A comprehensive review and outlook
Omar M. Abdeldayem, Areeg M. Dabbish, Mahmoud M. Habashy, et al.
The Science of The Total Environment (2021) Vol. 803, pp. 149834-149834
Open Access | Times Cited: 66

Towards using cough for respiratory disease diagnosis by leveraging Artificial Intelligence: A survey
Aneeqa Ijaz, Muhammad Nabeel, Usama Masood, et al.
Informatics in Medicine Unlocked (2022) Vol. 29, pp. 100832-100832
Open Access | Times Cited: 54

Chest X-ray Images for Lung Disease Detection Using Deep Learning Techniques: A Comprehensive Survey
Mohammed A. A. Al‐qaness, Jie Zhu, Dalal AL-Alimi, et al.
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 6, pp. 3267-3301
Closed Access | Times Cited: 6

Applying Machine Learning Sampling Techniques to Address Data Imbalance in a Chilean COVID-19 Symptoms and Comorbidities Dataset
Pablo Ormeño-Arriagada, Gastón Márquez, David Araya, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1132-1132
Open Access

A Comprehensive Review of Machine Learning Used to Combat COVID-19
Rahul Gomes, Connor Kamrowski, Jordan Langlois, et al.
Diagnostics (2022) Vol. 12, Iss. 8, pp. 1853-1853
Open Access | Times Cited: 25

Recommender System for the Efficient Treatment of COVID-19 Using a Convolutional Neural Network Model and Image Similarity
Madhusree Kuanr, Puspanjali Mohapatra, Sanchi Mittal, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2700-2700
Open Access | Times Cited: 20

An efficient edge/cloud medical system for rapid detection of level of consciousness in emergency medicine based on explainable machine learning models
Nora El-Rashidy, Ahmed Sedik, Ali I. Siam, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 14, pp. 10695-10716
Open Access | Times Cited: 8

A brief review and scientometric analysis on ensemble learning methods for handling COVID-19
Mohammad Javad Shayegan
Heliyon (2024) Vol. 10, Iss. 4, pp. e26694-e26694
Open Access | Times Cited: 2

A Survey on Machine Learning and Internet of Medical Things-Based Approaches for Handling COVID-19: Meta-Analysis
Shahab S. Band, Sina Ardabili, Atefeh Yarahmadi, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 14

Sentiment Analysis of Users’ Reactions on Social Media during the Pandemic
Eldor Abdukhamidov, Firuz Juraev, Mohammed Abuhamad, et al.
Electronics (2022) Vol. 11, Iss. 10, pp. 1648-1648
Open Access | Times Cited: 12

Novel Coronavirus and Common Pneumonia Detection from CT Scans Using Deep Learning-Based Extracted Features
Ghazanfar Latif, Hamdy Morsy, Asmaa Hassan, et al.
Viruses (2022) Vol. 14, Iss. 8, pp. 1667-1667
Open Access | Times Cited: 12

Covid-19 Ultrasound image classification using SVM based on kernels deduced from Convolutional neural network
Saif Al‐jumaili, Adil Deniz Duru, Osman Nuri Uçan
2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (2021), pp. 429-433
Closed Access | Times Cited: 16

Current Artificial Intelligence (AI) Techniques, Challenges, and Approaches in Controlling and Fighting COVID-19: A Review
Umar Albalawi, Mohammed Mustafa
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 10, pp. 5901-5901
Open Access | Times Cited: 11

A Review on the Use of Machine Learning Against the Covid-19 Pandemic
Sardar Asad Ali Biabani, Nahla Tayyib
Engineering Technology & Applied Science Research (2022) Vol. 12, Iss. 1, pp. 8039-8044
Open Access | Times Cited: 10

Application of Machine Learning and Deep Learning Techniques for COVID-19 Screening Using Radiological Imaging: A Comprehensive Review
Asifuzzaman Lasker, Sk Md Obaidullah, Chandan Chakraborty, et al.
SN Computer Science (2022) Vol. 4, Iss. 1
Open Access | Times Cited: 10

Investigating the role of machine learning techniques in internet of things during the COVID-19 pandemic: A systematic review
Shahla Faramarzi, Sanaz Abbasi, Sharareh Faramarzi, et al.
Informatics in Medicine Unlocked (2024) Vol. 45, pp. 101453-101453
Open Access | Times Cited: 1

Research challenges and future directions towards medical data processing
Anusha Ampavathi, Vijaya Saradhi Thommandru
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2022) Vol. 10, Iss. 6, pp. 633-652
Closed Access | Times Cited: 9

Handling Imbalanced Data for Improved Classification Performance: Methods and Challenges
Somiya Abokadr, Azreen Azman, Hazlina Hamdan, et al.
(2023) Vol. 17, pp. 1-8
Closed Access | Times Cited: 4

Spanish Flu (Great Influenza) 1918: The Tale of The Most deadly Pandemic in History
Maad M. Mijwil, Abdel‐Hameed Al‐Mistarehi, Deeb Jamil Zahran, et al.
Asian Journal of Applied Sciences (2022) Vol. 10, Iss. 2
Open Access | Times Cited: 7

Pattern recognition of omicron variants from amalgamated multi-focus EEG signals and X-ray images using deep transfer learning
Saad Al-Ahmadi, Farah Mohammad
Egyptian Informatics Journal (2023) Vol. 24, Iss. 1, pp. 129-138
Open Access | Times Cited: 3

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