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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:

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

Showing 26-50 of 57 citing articles:

Introducing PneumNet—A Groundbreaking Dual Version Deep Learning Model for Pneumonia Disease Detection
Khursheed Aurangzeb, Sonain Jamil, Musaed Alhussein
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 4
Closed Access | Times Cited: 1
Using a Layered Ensemble of Physics-Guided Graph Attention Networks to Predict COVID-19 Trends
Connie Sun, Vijayalakshmi K Kumarasamy, Yu Liang, et al.
Applied Artificial Intelligence (2022) Vol. 36, Iss. 1
Open Access | Times Cited: 7
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
Application of Deep Learning to IVC Filter Detection from CT Scans
Rahul Gomes, Connor Kamrowski, Pavithra Devy Mohan, et al.
Diagnostics (2022) Vol. 12, Iss. 10, pp. 2475-2475
Open Access | Times Cited: 6
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
RESEARCH AND APPLICATION ADVANCES OF ARTIFICIAL INTELLIGENCE IN DIAGNOSIS AND EPIDEMIC PREDICTION OF COVID-19
Jinping Liu, Juanjuan Wu, Subo Gong, et al.
Fractals (2023) Vol. 31, Iss. 06
Closed Access | Times Cited: 2
Using discrete wavelet transform for optimizing COVID-19 new cases and deaths prediction worldwide with deep neural networks
Erick Giovani Sperandio Nascimento, Júnia Ortiz, Adhvan Furtado, et al.
PLoS ONE (2023) Vol. 18, Iss. 4, pp. e0282621-e0282621
Open Access | Times Cited: 2
Deep Neural Network Augments Performance of Junior Residents in Diagnosing COVID-19 Pneumonia on Chest Radiographs
Yangqin Feng, Jordan Sim, Xinxing Xu, et al.
Diagnostics (2023) Vol. 13, Iss. 8, pp. 1397-1397
Open Access | Times Cited: 2
A computationally-inexpensive strategy in CT image data augmentation for robust deep learning classification in the early stages of an outbreak
Yikun Hou, Miguel Navarro‐Cía
Biomedical Physics & Engineering Express (2023) Vol. 9, Iss. 5, pp. 055003-055003
Open Access | Times Cited: 2
Towards smart diagnostic methods for COVID-19: Review of deep learning for medical imaging
Marjan Jalali Moghaddam, Mina Ghavipour
IPEM-Translation (2022) Vol. 3-4, pp. 100008-100008
Open Access | Times Cited: 3
The Capacity of Artificial Intelligence in COVID-19 Response: A Review in Context of COVID-19 Screening and Diagnosis
Dilber Uzun Ozsahin, Nuhu Abdulhaqq Isa, Berna Uzun
Diagnostics (2022) Vol. 12, Iss. 12, pp. 2943-2943
Open Access | Times Cited: 3
A Reliable and Efficient Tracking System Based on Deep Learning for Monitoring the Spread of COVID-19 in Closed Areas
Radwa Ahmed Osman, Sherine Nagy Saleh, Yasmine N. M. Saleh, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 24, pp. 12941-12941
Open Access | Times Cited: 4
Early Prediction of Chronic Kidney Disease: A Comprehensive Survey
M. S. Jayaprabha, V. Vishwa Priya
(2024), pp. 45-51
Closed Access
A Comprehensive Survey on the Data-Driven Approaches used for Tackling the COVID-19 Pandemic
Walid A. Salameh, Ola Surakhi, Mohammad Y. Khanafseh
WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE (2024) Vol. 21, pp. 200-217
Open Access
Meta-DPSTL: meta learning-based differentially private self-taught learning
Upendra Singh, Indrajeet Kumar Sinha, Krishna Pratap Singh, et al.
International Journal of Machine Learning and Cybernetics (2024) Vol. 15, Iss. 9, pp. 4021-4053
Closed Access
Future perspective and outlook: Incorporation of advanced technology
Hong‐Wen Gao, Rui Li, Ankit Joshi
Elsevier eBooks (2024), pp. 289-313
Closed Access
Incremental Learning Framework for Mining Big Data Stream
Alaa Eisa, Nora El-Rashidy, Mohammad Dahman Alshehri, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 71, Iss. 2, pp. 2901-2921
Open Access | Times Cited: 3
Investigación e innovación biomédica ante la sindemia por COVID-19. Informe SESPAS 2022
Juan Alguacil
Gaceta Sanitaria (2022) Vol. 36, pp. S87-S92
Open Access | Times Cited: 2
Classification of COVID-19 from CT chest images using Convolutional Wavelet Neural Network
Dina A. Abdulqader, Asma T. Saadoon, Marwa T. Naser, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2022) Vol. 13, Iss. 1, pp. 1078-1078
Open Access | Times Cited: 2
A Survey in Using Machine Learning (Ml) Approaches for the Diagnosis of Personal Stress
Brajesh Kumar, Tangirala Ruthvika Reddy, Deepti Sharma, et al.
2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) (2022), pp. 2646-2649
Closed Access | Times Cited: 1
Modelling the fourth wave of Covid-19 pandemic in Egypt
I. A. Moneim, Eman I. Abd El-Latif
Journal of Mathematics and Computer Science (2022) Vol. 29, Iss. 01, pp. 52-59
Open Access | Times Cited: 1
Covid-19 Diagnosis, Prognosis, and Rehabilitation: Latest Perceptions, Challenges, and Future Directions
Vishnu Priya Veeraraghavan, L. R. Sujithra, Praitayini Kanakaraj
EAI/Springer Innovations in Communication and Computing (2023), pp. 413-428
Closed Access
Machine Learning-based Approach for Prevention of COVID-19 using Steam Vaporizer
Professor R.K. Saket
(2022)
Open Access
Machine Learning-based Approach for Prevention of COVID-19 using Steam Vaporizer
Professor R.K. Saket
(2022)
Open Access
Building predictive model for COVID-19 using artificial neural network (ANN) algorithm
D. Christy Sujatha, P. Aruna, J. Jeyachidra
International Journal of Health Sciences (2022), pp. 4522-4532
Open Access

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