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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:

Detecting acute respiratory diseases in the pediatric population using cough sound features and machine learning: A systematic review
Roneel V. Sharan, Hania Rahimi‐Ardabili
International Journal of Medical Informatics (2023) Vol. 176, pp. 105093-105093
Open Access | Times Cited: 13

Showing 13 citing articles:

The deep learning applications in IoT-based bio- and medical informatics: a systematic literature review
Zahra Mohtasham‐Amiri, Arash Heidari, Nima Jafari Navimipour, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 11, pp. 5757-5797
Open Access | Times Cited: 60
Detecting respiratory diseases using machine learning-based pattern recognition on spirometry data
Ahmed I. Taloba, R.T. Matoog
Alexandria Engineering Journal (2024) Vol. 113, pp. 44-59
Open Access | Times Cited: 10
Natural language processing systems for extracting information from electronic health records about activities of daily living. A systematic review
Yvonne Wieland-Jorna, Daan van Kooten, Robert Verheij, et al.
JAMIA Open (2024) Vol. 7, Iss. 2
Open Access | Times Cited: 4
Wet and dry cough classification using cough sound characteristics and machine learning: A systematic review
Roneel V. Sharan, Hao Xiong
International Journal of Medical Informatics (2025) Vol. 199, pp. 105912-105912
Open Access
Leveraging AI and Machine Learning to Develop and Evaluate a Contextualized User-Friendly Cough Audio Classifier for Detecting Respiratory Diseases: Protocol for a Diagnostic Study in Rural Tanzania
Kahabi Isangula, Rogers John Haule
JMIR Research Protocols (2024) Vol. 13, pp. e54388-e54388
Open Access | Times Cited: 3
Artificial intelligence and pneumonia: a rapidly evolving frontier
Amy Sarah Ginsburg, Eric D. McCollum
The Lancet Global Health (2023) Vol. 11, Iss. 12, pp. e1849-e1850
Open Access | Times Cited: 5
Cough Detection Using Acceleration Signals and Deep Learning Techniques
Daniel Morillo, Diego Sales-Lérida, Blanca Priego, et al.
Electronics (2024) Vol. 13, Iss. 12, pp. 2410-2410
Open Access | Times Cited: 1
The Role of Artificial Intelligence in Combatting Respiratory Tract Infections
Vasiliki Georgakopoulou
Cureus (2024)
Open Access | Times Cited: 1
Perceived healthcare quality via digital health platforms – evidence from Indian hospitals
Jinil Persis
International Journal of Quality & Reliability Management (2024)
Closed Access | Times Cited: 1
Automated Interpretation of Lung Sounds by Deep Learning in Children With Asthma: Scoping Review and Strengths, Weaknesses, Opportunities, and Threats Analysis
Isabelle Ruchonnet‐Metrailler, Johan N Siebert, Mary-Anne Hartley, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e53662-e53662
Open Access | Times Cited: 1
Determination of Hopper Fullness of Smart Screw Press Using Machine Learning
Volodymyr Havran, Mykhailo Lobur
Computer Design Systems Theory and Practice (2024) Vol. 6, Iss. 1, pp. 161-168
Closed Access
Recognition of Patient Gender: A Machine Learning Preliminary Analysis Using Heart Sounds from Children and Adolescents
Rodrigo M Carrillo-Larco
Pediatric Cardiology (2024)
Closed Access
Automated Interpretation of Lung Sounds by Deep Learning in Children With Asthma: Scoping Review and Strengths, Weaknesses, Opportunities, and Threats Analysis (Preprint)
Isabelle Ruchonnet‐Metrailler, Johan N Siebert, Mary-Anne Hartley, et al.
(2023)
Open Access
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