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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:

A survey on artificial intelligence approaches in supporting frontline workers and decision makers for the COVID-19 pandemic
Jawad Rasheed, Akhtar Jamıl, Alaa Ali Hameed, et al.
Chaos Solitons & Fractals (2020) Vol. 141, pp. 110337-110337
Open Access | Times Cited: 107

Showing 1-25 of 107 citing articles:

Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues
Anichur Rahman, Md. Sazzad Hossain, Ghulam Muhammad, et al.
Cluster Computing (2022) Vol. 26, Iss. 4, pp. 2271-2311
Open Access | Times Cited: 147
Automatic diagnosis of COVID-19 disease using deep convolutional neural network with multi-feature channel from respiratory sound data: Cough, voice, and breath
Kranthi Kumar Lella, Alphonse PJA
Alexandria Engineering Journal (2021) Vol. 61, Iss. 2, pp. 1319-1334
Open Access | Times Cited: 119
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: 41
The Role of Artificial Intelligence in Tackling COVID-19
Neelima Arora, Amit Kumar Banerjee, Mangamoori L Narasu
Future Virology (2020) Vol. 15, Iss. 11, pp. 717-724
Open Access | Times Cited: 100
Automatic COVID-19 disease diagnosis using 1D convolutional neural network and augmentation with human respiratory sound based on parameters: cough, breath, and voice
Kranthi Kumar Lella, Alphonse PJA
AIMS Public Health (2021) Vol. 8, Iss. 2, pp. 240-264
Open Access | Times Cited: 64
The Promise of AI in Detection, Diagnosis, and Epidemiology for Combating COVID-19: Beyond the Hype
Musa Abdulkareem, Steffen E. Petersen
Frontiers in Artificial Intelligence (2021) Vol. 4
Open Access | Times Cited: 59
Chest X-ray analysis empowered with deep learning: A systematic review
Dulani Meedeniya, Hashara Kumarasinghe, Shammi Kolonne, et al.
Applied Soft Computing (2022) Vol. 126, pp. 109319-109319
Open Access | Times Cited: 57
COVID-19 in the Age of Artificial Intelligence: A Comprehensive Review
Jawad Rasheed, Akhtar Jamıl, Alaa Ali Hameed, et al.
Interdisciplinary Sciences Computational Life Sciences (2021) Vol. 13, Iss. 2, pp. 153-175
Open Access | Times Cited: 55
The Role of Digital Technology in Curbing COVID-19
Noha Saeed Alghamdi, Saeed M. Alghamdi
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 14, pp. 8287-8287
Open Access | Times Cited: 49
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
Handling class imbalance in COVID-19 chest X-ray images classification: Using SMOTE and weighted loss
Ekram Chamseddine, Nesrine Mansouri, Makram Soui, et al.
Applied Soft Computing (2022) Vol. 129, pp. 109588-109588
Open Access | Times Cited: 47
CR19: a framework for preliminary detection of COVID-19 in cough audio signals using machine learning algorithms for automated medical diagnosis applications
Ezz El‐Din Hemdan, Walid El‐Shafai, Amged Sayed
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 9, pp. 11715-11727
Open Access | Times Cited: 44
COVID-19 disease diagnosis with light-weight CNN using modified MFCC and enhanced GFCC from human respiratory sounds
Kranthi Kumar Lella, P. J. A. Alphonse
The European Physical Journal Special Topics (2022) Vol. 231, Iss. 18-20, pp. 3329-3346
Open Access | Times Cited: 40
Using artificial intelligence technology to fight COVID-19: a review
Yong Peng, Enbin Liu, Shanbi Peng, et al.
Artificial Intelligence Review (2022) Vol. 55, Iss. 6, pp. 4941-4977
Open Access | Times Cited: 37
Systematic review of MCDM approach applied to the medical case studies of COVID-19: trends, bibliographic analysis, challenges, motivations, recommendations, and future directions
A. H. Alamoodi, B. B. Zaidan, O. S. Albahri, et al.
Complex & Intelligent Systems (2023) Vol. 9, Iss. 4, pp. 4705-4731
Open Access | Times Cited: 27
Innovative applications of artificial intelligence during the COVID-19 pandemic
Chenrui Lv, Wenqiang Guo, Xinyi Yin, et al.
Infectious Medicine (2024) Vol. 3, Iss. 1, pp. 100095-100095
Open Access | Times Cited: 10
Artificial intelligence-based public healthcare systems: G2G knowledge-based exchange to enhance the decision-making process
Omar A. Nasseef, Abdullah M. Baabdullah, Ali Abdallah Alalwan, et al.
Government Information Quarterly (2021) Vol. 39, Iss. 4, pp. 101618-101618
Open Access | Times Cited: 47
Overview of current state of research on the application of artificial intelligence techniques for COVID-19
Vijay Kumar, Dilbag Singh, Manjit Kaur, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e564-e564
Open Access | Times Cited: 42
AI in Global Health: The View from the Front Lines
Azra Ismail, Neha Kumar
(2021), pp. 1-21
Closed Access | Times Cited: 41
Analyzing the Effect of Filtering and Feature-Extraction Techniques in a Machine Learning Model for Identification of Infectious Disease Using Radiography Imaging
Jawad Rasheed
Symmetry (2022) Vol. 14, Iss. 7, pp. 1398-1398
Open Access | Times Cited: 31
Strategies to Improve the Impact of Artificial Intelligence on Health Equity: Scoping Review
Carl T. Berdahl, Lawrence Baker, Sean Mann, et al.
JMIR AI (2023) Vol. 2, pp. e42936-e42936
Open Access | Times Cited: 18
A literature review on COVID-19 disease diagnosis from respiratory sound data
Kranthi Kumar Lella, Alphonse PJA
AIMS bioengineering (2021) Vol. 8, Iss. 2, pp. 140-153
Open Access | Times Cited: 38
SOM-LWL method for identification of COVID-19 on chest X-rays
Ahmed Hamza Osman, Hani Moaiteq Aljahdali, Sultan Menwer Altarrazi, et al.
PLoS ONE (2021) Vol. 16, Iss. 2, pp. e0247176-e0247176
Open Access | Times Cited: 34
Deep Learning Techniques for COVID-19 Detection Based on Chest X-ray and CT-scan Images: A Short Review and Future Perspective
Maad M. Mijwil, Karan Aggarwal, Ruchi Doshi, et al.
Asian Journal of Applied Sciences (2022) Vol. 10, Iss. 3
Open Access | Times Cited: 23
Screening Lung Diseases Using Cascaded Feature Generation and Selection Strategies
Jawad Rasheed, Raed M. Shubair
Healthcare (2022) Vol. 10, Iss. 7, pp. 1313-1313
Open Access | Times Cited: 22
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