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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:

Artificial Intelligence/Machine Learning in Respiratory Medicine and Potential Role in Asthma and COPD Diagnosis
Alan Kaplan, Hui Cao, J. Mark FitzGerald, et al.
The Journal of Allergy and Clinical Immunology In Practice (2021) Vol. 9, Iss. 6, pp. 2255-2261
Open Access | Times Cited: 140

Showing 26-50 of 140 citing articles:

Respiratory Condition Detection Using Audio Analysis and Convolutional Neural Networks Optimized by Modified Metaheuristics
Nebojša Bačanin, Luka Jovanovic, Ruxandra Stoean, et al.
Axioms (2024) Vol. 13, Iss. 5, pp. 335-335
Open Access | Times Cited: 5
Interpretable machine learning models for COPD ease of breathing estimation
Thomas T. Kok, John Morales, Dirk Deschrijver, et al.
Medical & Biological Engineering & Computing (2025)
Closed Access
Development of an AI Model for Predicting Methacholine Bronchial Provocation Test Results Using Spirometry
Sangjee Park, Yehyeon Yi, Seon‐Sook Han, et al.
Diagnostics (2025) Vol. 15, Iss. 4, pp. 449-449
Open Access
Screening and Validation of Potential Biomarkers of Immune Cells in Childhood Asthma Patients via Mendelian Randomization and Machine Learning
Yang Zhang, H.J. Yang, Baifen Song, et al.
Journal of Inflammation Research (2025) Vol. Volume 18, pp. 2583-2600
Open Access
Detection and airflow obstruction severity grading of chronic obstructive pulmonary disease based on capnography
Xiuying Mou, Peng Wang, Xianya Yu, et al.
Nanotechnology and Precision Engineering (2025) Vol. 8, Iss. 3
Open Access
Sales Prediction using Ensemble Machine Learning Model
Mustapha Ismail, Hafsat Muhammad Tukur, Mamudu Friday
(2025), pp. 24-35
Closed Access
Opportunities and challenges with artificial intelligence in allergy and immunology: a bibliometric study
Ningkun Xiao, Xin‐Lin Huang, Yujun Wu, et al.
Frontiers in Medicine (2025) Vol. 12
Open Access
Transforming pulmonary healthcare: the role of artificial intelligence in diagnosis and treatment
Farzat Farha, Sageer Abass, Saba Khan, et al.
Expert Review of Respiratory Medicine (2025)
Closed Access
Tidal Volume Monitoring via Surface Motions of the Upper Body—A Pilot Study of an Artificial Intelligence Approach
Bernhard Laufer, Tamer Abdulbaki Alshirbaji, Paul D. Docherty, et al.
Sensors (2025) Vol. 25, Iss. 8, pp. 2401-2401
Open Access
Artificial intelligence to differentiate asthma from COPD in medico-administrative databases
Hassan Joumaa, Raphaël Sigogne, Milka Maravic, et al.
BMC Pulmonary Medicine (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 21
Tele-Monitoring Applications in Respiratory Allergy
Xenofon Aggelidis, Maria Kritikou, Michaël Makris, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 3, pp. 898-898
Open Access | Times Cited: 4
Applications of Machine Learning (ML) and Mathematical Modeling (MM) in Healthcare with Special Focus on Cancer Prognosis and Anticancer Therapy: Current Status and Challenges
Jasmin Hassan, Safiya Mohammed Saeed, Lipika Deka, et al.
Pharmaceutics (2024) Vol. 16, Iss. 2, pp. 260-260
Open Access | Times Cited: 4
Current technological advancement in asthma care
Ali Hakizimana, Pooja Devani, Erol Gaillard
Expert Review of Respiratory Medicine (2024) Vol. 18, Iss. 7, pp. 499-512
Open Access | Times Cited: 4
An Enhancing Diagnostic Pulmonary Diseases Diagnostic method for Differentiating Talaromycosis from Tuberculosis
Ying Zhou, Phoebe Lin, Linghui Xia, et al.
iScience (2025) Vol. 28, Iss. 2, pp. 111867-111867
Open Access
COPD Detection: Hurdles and Struggles
Lucile Regard, Thierry Perez, Nicolás Roche
American Journal of Respiratory and Critical Care Medicine (2025)
Closed Access
Development and Validation of a Novel AI-Derived Index for Predicting COPD Medical Costs in Clinical Practice
Guan-Heng Liu, Chin-Ling Li, Chih-Yuan Yang, et al.
Computational and Structural Biotechnology Journal (2025)
Open Access
Machine learning-based screening of asthma biomarkers and related immune infiltration
Xiaoying S. Zhong, Jingjing Song, Chi Lei, et al.
Frontiers in Allergy (2025) Vol. 6
Open Access
Edge Computing System for Automatic Detection of Chronic Respiratory Diseases Using Audio Analysis
José Antonio Rivas-Navarrete, Humberto Pérez-Espinosa, A. L. Padilla-Ortíz, et al.
Journal of Medical Systems (2025) Vol. 49, Iss. 1
Closed Access
AI-powered evaluation of lung function for diagnosis of interstitial lung disease
Daniela Gompelmann, Maximilian Robert Gysan, Paul Desbordes, et al.
Thorax (2025), pp. thorax-221537
Closed Access
Gamification Reloaded
Athanasios Mazarakis
i-com (2021) Vol. 20, Iss. 3, pp. 279-294
Open Access | Times Cited: 24
Real-world characteristics of “super-responders” to mepolizumab and benralizumab in severe eosinophilic asthma and eosinophilic granulomatosis with polyangiitis
Andrea Portacci, Raffaele Campisi, Enrico Buonamico, et al.
ERJ Open Research (2023) Vol. 9, Iss. 5, pp. 00419-2023
Open Access | Times Cited: 10
Tele-Monitoring Applications in Respiratory Allergy
Xenofon Aggelidis, Maria Kritikou, Michaël Makris, et al.
(2024)
Open Access | Times Cited: 3
Online Supervisory System for In-Process Optimization of Calcium Additions by Continuously Monitoring the State of Non-metallic Inclusions Inside Low-Alloyed Liquid Steels
Sudhanshu Kuthe, Roman Rössler, Andrey Karasev, et al.
Metallurgical and Materials Transactions B (2024) Vol. 55, Iss. 3, pp. 1395-1413
Open Access | Times Cited: 3
Investigating Machine Learning Techniques for Predicting Risk of Asthma Exacerbations: A Systematic Review
Widana Kankanamge Darsha Jayamini, Farhaan Mirza, M. Asif Naeem, et al.
Journal of Medical Systems (2024) Vol. 48, Iss. 1
Open Access | Times Cited: 3
An explainable machine learning approach for automated medical decision support of heart disease
Francisco Mesquita, Gonçalo Marques
Data & Knowledge Engineering (2024) Vol. 153, pp. 102339-102339
Open Access | Times Cited: 3

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