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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 in diagnosis of obstructive lung disease
Nilakash Das, Marko Topalovic, Wim Janssens
Current Opinion in Pulmonary Medicine (2017) Vol. 24, Iss. 2, pp. 117-123
Closed Access | Times Cited: 105

Showing 1-25 of 105 citing articles:

Applications of Machine Learning Predictive Models in the Chronic Disease Diagnosis
Gopi Battineni, Getu Gamo Sagaro, Nalini Chinatalapudi, et al.
Journal of Personalized Medicine (2020) Vol. 10, Iss. 2, pp. 21-21
Open Access | Times Cited: 279
Convolutional neural network for the diagnosis of early gastric cancer based on magnifying narrow band imaging
Lan Li, Yishu Chen, Zhe Shen, et al.
Gastric Cancer (2019) Vol. 23, Iss. 1, pp. 126-132
Open Access | Times Cited: 183
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: 139
Where Is the Artificial Intelligence Applied in Dentistry? Systematic Review and Literature Analysis
Andrej Thurzo, Wanda Urbanová, Bohušlav Novák, et al.
Healthcare (2022) Vol. 10, Iss. 7, pp. 1269-1269
Open Access | Times Cited: 109
CURATE.AI: Optimizing Personalized Medicine with Artificial Intelligence
Agata Blasiak, Jeffrey Khong, Theodore Kee
SLAS TECHNOLOGY (2019) Vol. 25, Iss. 2, pp. 95-105
Open Access | Times Cited: 139
Integrating Artificial and Human Intelligence: A Partnership for Responsible Innovation in Biomedical Engineering and Medicine
Kevin Dzobo, Sampson Adotey, Nicholas Ekow Thomford, et al.
OMICS A Journal of Integrative Biology (2019) Vol. 24, Iss. 5, pp. 247-263
Closed Access | Times Cited: 107
Current applications of big data and machine learning in cardiology.
Renato Cuocolo, Teresa Perillo, Eliana De Rosa, et al.
PubMed (2019) Vol. 16, Iss. 8, pp. 601-607
Closed Access | Times Cited: 83
Artificial intelligence in pulmonary medicine: computer vision, predictive model and COVID-19
Danai Khemasuwan, Jeffrey Sorensen, Henri G. Colt
European Respiratory Review (2020) Vol. 29, Iss. 157, pp. 200181-200181
Open Access | Times Cited: 74
The best person (or machine) for the job: Rethinking task shifting in healthcare
May C I van Schalkwyk, Aleš Bourek, Dionne Kringos, et al.
Health Policy (2020) Vol. 124, Iss. 12, pp. 1379-1386
Open Access | Times Cited: 69
Towards using cough for respiratory disease diagnosis by leveraging Artificial Intelligence: A survey
Aneeqa Ijaz, Muhammad Nabeel, Usama Masood, et al.
Informatics in Medicine Unlocked (2022) Vol. 29, pp. 100832-100832
Open Access | Times Cited: 57
Lung disease recognition methods using audio-based analysis with machine learning
Ahmad H. Sabry, Omar I. Dallal Bashi, N. H. Nik Ali, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e26218-e26218
Open Access | Times Cited: 12
The second information revolution: digitalization brings opportunities and concerns for public health
Martin McKee, May C I van Schalkwyk, David Stuckler
European Journal of Public Health (2019) Vol. 29, Iss. Supplement_3, pp. 3-6
Open Access | Times Cited: 73
Application of Artificial Intelligence in Diabetes Education and Management: Present Status and Promising Prospect
Juan Li, Jin Huang, Lanbo Zheng, et al.
Frontiers in Public Health (2020) Vol. 8
Open Access | Times Cited: 62
Spirometric indices of early airflow impairment in individuals at risk of developing COPD: Spirometry beyond FEV1/FVC
Daniel Hoesterey, Nilakash Das, Wim Janssens, et al.
Respiratory Medicine (2019) Vol. 156, pp. 58-68
Open Access | Times Cited: 58
Collaboration between explainable artificial intelligence and pulmonologists improves the accuracy of pulmonary function test interpretation
Nilakash Das, Sofie Happaerts, Iwein Gyselinck, et al.
European Respiratory Journal (2023) Vol. 61, Iss. 5, pp. 2201720-2201720
Open Access | Times Cited: 19
Acoustic-Based Deep Learning Architectures for Lung Disease Diagnosis: A Comprehensive Overview
Alyaa Hamel Sfayyih, Ahmad H. Sabry, Shymaa Mohammed Jameel, et al.
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1748-1748
Open Access | Times Cited: 18
Using artificial intelligence to promote equitable care for inpatients with language barriers and complex medical needs: clinical stakeholder perspectives
Amelia Barwise, Susan Curtis, Daniel A. Diedrich, et al.
Journal of the American Medical Informatics Association (2023) Vol. 31, Iss. 3, pp. 611-621
Open Access | Times Cited: 17
Machine Learning for Prediction of Cardiovascular Disease and Respiratory Disease: A Review
Gaurav Parashar, Alka Chaudhary, Dilkeshwar Pandey
SN Computer Science (2024) Vol. 5, Iss. 1
Closed Access | Times Cited: 6
Pathways to chronic disease detection and prediction: Mapping the potential of machine learning to the pathophysiological processes while navigating ethical challenges
Ebenezer Afrifa‐Yamoah, Eric Adua, Emmanuel Peprah‐Yamoah, et al.
Chronic Diseases and Translational Medicine (2024) Vol. 11, Iss. 1, pp. 1-21
Closed Access | Times Cited: 6
KI-unterstützte Krankheitsvorhersage in der visualisierten Medizin
Juan Du, Mengen Huang, Lin Liu
(2025), pp. 117-139
Closed Access
An Innovative Artificial Intelligence–Based App for the Diagnosis of Gestational Diabetes Mellitus (GDM-AI): Development Study
Jiayi Shen, Jiebin Chen, Zequan Zheng, et al.
Journal of Medical Internet Research (2020) Vol. 22, Iss. 9, pp. e21573-e21573
Open Access | Times Cited: 47
Validation of the portable Bluetooth® Air Next spirometer in patients with different respiratory diseases
Konstantinos Exarchos, Athena Gogali, Agni Sioutkou, et al.
Respiratory Research (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 39
Artificial neural network and logistic regression modelling to characterize COVID-19 infected patients in local areas of Iran
Farzaneh Mohammadi, Hamidreza Pourzamani, Hossein Karimi, et al.
Biomedical Journal (2021) Vol. 44, Iss. 3, pp. 304-316
Open Access | Times Cited: 38
A Deep Learning Model for Classification of Endoscopic Gastroesophageal Reflux Disease
Chi‐Chih Wang, Yu-Ching Chiu, Weiliang Chen, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 5, pp. 2428-2428
Open Access | Times Cited: 34
Coronavirus: a comparative analysis of detection technologies in the wake of emerging variants
Shagun Sharma, Surabhi Shrivastava, Shankar B. Kausley, et al.
Infection (2022) Vol. 51, Iss. 1, pp. 1-19
Open Access | Times Cited: 24
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