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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:

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: 48

Showing 1-25 of 48 citing articles:

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: 40
Authentication Schemes for Healthcare Applications Using Wireless Medical Sensor Networks: A Survey
Anwar Noureddine Bahache, Noureddine Chikouche, Fares Mezrag
SN Computer Science (2022) Vol. 3, Iss. 5
Open Access | Times Cited: 35
An overview of deep learning techniques for COVID-19 detection: methods, challenges, and future works
Ercan Gürsoy, Yasin Kaya
Multimedia Systems (2023) Vol. 29, Iss. 3, pp. 1603-1627
Open Access | Times Cited: 20
The economics of deep and machine learning-based algorithms for COVID-19 prediction, detection, and diagnosis shaping the organizational management of hospitals
George Lăzăroiu, Tom Gedeon, Elżbieta Rogalska, et al.
Oeconomia Copernicana (2024) Vol. 15, Iss. 1, pp. 27-58
Open Access | Times Cited: 10
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 novel hybrid supervised and unsupervised hierarchical ensemble for COVID-19 cases and mortality prediction
Vitaliy Yakovyna, Nataliya Shakhovska, Aleksandra Szpakowska
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Internet of Things with Deep Learning Techniques for Pandemic Detection: A Comprehensive Review of Current Trends and Open Issues
Sunday Adeola Ajagbe, Pragasen Mudali, Matthew O. Adigun
Electronics (2024) Vol. 13, Iss. 13, pp. 2630-2630
Open Access | Times Cited: 5
An assessment of ensemble learning approaches and single-based machine learning algorithms for the characterization of undersaturated oil viscosity
Theddeus T. Akano, Chinemerem C. James
Beni-Suef University Journal of Basic and Applied Sciences (2022) Vol. 11, Iss. 1
Open Access | Times Cited: 17
Digital Transformation Process Towards Resilient Production Systems and Networks
Dimitris Mourtzis, Nikos Panopoulos
Springer series in supply chain management (2022), pp. 11-42
Closed Access | Times Cited: 17
Performance of Machine Learning Models for Pandemic Detection Using COVID-19 Dataset
Sunday Adeola Ajagbe, Adekanmi Adeyinka Adegun, Pragasen Mudali, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 9
Classification of COVID-19 Patients into Clinically Relevant Subsets by a Novel Machine Learning Pipeline Using Transcriptomic Features
Andrea R. Daamen, Prathyusha Bachali, Amrie C. Grammer, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 5, pp. 4905-4905
Open Access | Times Cited: 8
Role of different types of RNA molecules in the severity prediction of SARS-CoV-2 patients
Pratheeba Jeyananthan
Pathology - Research and Practice (2023) Vol. 242, pp. 154311-154311
Open Access | Times Cited: 7
Challenges and Opportunities in Deep Learning Driven Fashion Design and Textiles Patterns Development
Dana Simian, Felix Husac
Communications in computer and information science (2023), pp. 173-187
Closed Access | Times Cited: 6
Application of Artificial Intelligence in Assessing the Self-Management Practices of Patients with Type 2 Diabetes
Rashid M. Ansari, Mark Harris, Hassan Hosseinzadeh, et al.
Healthcare (2023) Vol. 11, Iss. 6, pp. 903-903
Open Access | Times Cited: 6
Integration of ontology with machine learning to predict the presence of covid-19 based on symptoms
Hakim El Massari, Noreddine Gherabi, Sajida Mhammedi, et al.
Bulletin of Electrical Engineering and Informatics (2022) Vol. 11, Iss. 5, pp. 2805-2816
Open Access | Times Cited: 11
Automatic detection of COVID-19 and pneumonia from chest X-ray images using texture features
Farnaz Sheikhi, Aliakbar Taghdiri, Danial Moradisabzevar, et al.
The Journal of Supercomputing (2023) Vol. 79, Iss. 18, pp. 21449-21473
Closed Access | Times Cited: 5
Classification and Identification of Infectious COVID-19 Virus Using Deep Learning and Machine Learning Techniques: A Comprehensive Analysis
Vijaya Patnaik, Asit Subudhi, Monalisa Mohanty
SN Computer Science (2024) Vol. 5, Iss. 1
Closed Access | Times Cited: 1
An Integrated Framework for Early Differential Diagnosis of COVID-19 using Improved Fuzzy Cognitive Map Approaches
P. S. S. Akilashri, Govindasamy Nithya
Indian Journal of Science and Technology (2024) Vol. 17, Iss. 23, pp. 2390-2400
Open Access | Times Cited: 1
Seeker optimization with mask RCNN based efficient model for Covid-19 detection and severity analysis using CT images
P. Ranjini Mupra, B. Ashok, T. S. Bindulal
OPSEARCH (2024)
Closed Access | Times Cited: 1
Time-Series Analysis and Healthcare Implications of COVID-19 Pandemic in Saudi Arabia
Rafat Zrieq, Souad Kamel, Sahbi Boubaker, et al.
Healthcare (2022) Vol. 10, Iss. 10, pp. 1874-1874
Open Access | Times Cited: 9
Cloud-based COVID-19 disease prediction system from X-Ray images using convolutional neural network on smartphone
Madhusudan G. Lanjewar, Arman Yusuf Shaikh, Jivan S. Parab
Multimedia Tools and Applications (2022) Vol. 82, Iss. 19, pp. 29883-29912
Open Access | Times Cited: 8
A Hybrid Feature Selection Approach to Screen a Novel Set of Blood Biomarkers for Early COVID-19 Mortality Prediction
Asif Hassan, Tabrej Khan, Nashwan Alromema
Diagnostics (2022) Vol. 12, Iss. 7, pp. 1604-1604
Open Access | Times Cited: 7
Generalized external synchronization of networks based on clustered pandemic systems—The approach of Covid-19 towards influenza
Muhammad Marwan, Maoan Han, Rizwan Khan
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0288796-e0288796
Open Access | Times Cited: 3
Cardiovascular and Renal Comorbidities Included into Neural Networks Predict the Outcome in COVID-19 Patients Admitted to an Intensive Care Unit: Three-Center, Cross-Validation, Age- and Sex-Matched Study
Е. А. Овчаренко, Anton G. Kutikhin, О. В. Груздева, et al.
Journal of Cardiovascular Development and Disease (2023) Vol. 10, Iss. 2, pp. 39-39
Open Access | Times Cited: 2
Virtual reality for assessing stereopsis performance and eye characteristics in Post-COVID
Wolfgang Mehringer, Maike Stoeve, Daniel Krauss, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 2
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