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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 26-50 of 105 citing articles:

ARTIFICIAL INTELLIGENCE IN COPD
Álvar Agustí, Marc Vila
Archivos de Bronconeumología (2025)
Closed Access
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
Automated Patient-specific Quality Assurance for Automated Segmentation of Organs at Risk in Nasopharyngeal Carcinoma Radiotherapy
Y. Wang, Jiang Hu, Lixin Chen, et al.
Cancer Control (2025) Vol. 32
Open Access
The Future of Breast Cancer Organized Screening Program Through Artificial Intelligence: A Scoping Review
Emma Altobelli, Paolo Matteo Angeletti, Marco Ciancaglini, et al.
Healthcare (2025) Vol. 13, Iss. 4, pp. 378-378
Open Access
KI-unterstützte Krankheitsvorhersage in der visualisierten Medizin
Juan Du, Mengen Huang, Lin Liu
(2025), pp. 117-139
Closed 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
DCT-MIL: Deep CNN transferred multiple instance learning for COPD identification using CT images
Caiwen Xu, Shouliang Qi, Jie Feng, et al.
Physics in Medicine and Biology (2020) Vol. 65, Iss. 14, pp. 145011-145011
Closed Access | Times Cited: 35
COPD phenotypes and machine learning cluster analysis: A systematic review and future research agenda
Vasilis Nikolaou, Sebastiano Massaro, Masoud Fakhimi, et al.
Respiratory Medicine (2020) Vol. 171, pp. 106093-106093
Open Access | Times Cited: 28
Deep Learning Based Centerline-Aggregated Aortic Hemodynamics: An Efficient Alternative to Numerical Modeling of Hemodynamics
Pavlo Yevtushenko, Leonid Goubergrits, Lina Gundelwein, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 4, pp. 1815-1825
Closed Access | Times Cited: 24
Deep learning diagnostic and risk-stratification pattern detection for COVID-19 in digital lung auscultations: clinical protocol for a case–control and prospective cohort study
Alban Glangetas, Mary-Anne Hartley, Aymeric Cantais, et al.
BMC Pulmonary Medicine (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 23
Analysing X-Ray Images to Detect Lung Diseases Using DenseNet-169 technique
Kartik Nair, Atharva Deshpande, Ritesh Guntuka, et al.
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 17
Emerging point of care devices and artificial intelligence: Prospects and challenges for public health
Andrew Stranieri, Sitalakshmi Venkatraman, John Minicz, et al.
Smart Health (2022) Vol. 24, pp. 100279-100279
Open Access | Times Cited: 16
Deep learning diagnostic and severity-stratification for interstitial lung diseases and chronic obstructive pulmonary disease in digital lung auscultations and ultrasonography: clinical protocol for an observational case–control study
Johan N Siebert, Mary-Anne Hartley, Delphine S. Courvoisier, et al.
BMC Pulmonary Medicine (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 10
A Novel Approach for Prediction of Lung Disease Using Chest X-ray Images Based on DenseNet and MobileNet
Adem Tekerek, Ismael Abdullah Mohammed Al-Rawe
Wireless Personal Communications (2023)
Open Access | Times Cited: 9
Screening and staging of chronic obstructive pulmonary disease with deep learning based on chest X-ray images and clinical parameters
XiaoLing Zou, Yong Ren, HaiLing Yang, et al.
BMC Pulmonary Medicine (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3
Computerized lung sound based classification of asthma and chronic obstructive pulmonary disease (COPD)
Nishi Shahnaj Haider, Ajoy Kumar Behera
Journal of Applied Biomedicine (2021) Vol. 42, Iss. 1, pp. 42-59
Closed Access | Times Cited: 22
Employment of Artificial Intelligence Based on Routine Laboratory Results for the Early Diagnosis of Multiple Myeloma
Wei Yan, Hua Shi, Tao He, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 20
Machine Learning and Deep Neural Network Applications in the Thorax
Martine Rémy‐Jardin, Jean‐Baptiste Faivre, Rainer Kaergel, et al.
Journal of Thoracic Imaging (2020) Vol. 35, Iss. Supplement 1, pp. S40-S48
Closed Access | Times Cited: 21
Using machine learning to identify clotted specimens in coagulation testing
Kui Fang, Zheqing Dong, Xiling Chen, et al.
Clinical Chemistry and Laboratory Medicine (CCLM) (2021) Vol. 59, Iss. 7, pp. 1289-1297
Closed Access | Times Cited: 19
Identification of diagnostic markers and lipid dysregulation in oesophageal squamous cell carcinoma through lipidomic analysis and machine learning
Yuyao Yuan, Zitong Zhao, Liyan Xue, et al.
British Journal of Cancer (2021) Vol. 125, Iss. 3, pp. 351-357
Open Access | Times Cited: 18
An Improved Endoscopic Automatic Classification Model for Gastroesophageal Reflux Disease Using Deep Learning Integrated Machine Learning
Hsu‐Heng Yen, Hui‐Yu Tsai, Chi‐Chih Wang, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2827-2827
Open Access | Times Cited: 13
Differential diagnosis of asthma and restrictive respiratory diseases by combining forced oscillation measurements, machine learning and neuro-fuzzy classifiers
Jorge Amaral, Alexandre Gomes Sancho, Álvaro Camilo Dias Faria, et al.
Medical & Biological Engineering & Computing (2020) Vol. 58, Iss. 10, pp. 2455-2473
Closed Access | Times Cited: 20
How the Smartphone Is Changing Allergy Diagnostics
Ana Margarida Pereira, Cristina Jácome, Rute Almeida, et al.
Current Allergy and Asthma Reports (2018) Vol. 18, Iss. 12
Closed Access | Times Cited: 17
A review of current advancements and limitations of artificial intelligence in genitourinary cancers.
Raghav Pai, Derek J. Van Booven, Madhumita Parmar, et al.
PubMed (2020) Vol. 8, Iss. 5, pp. 152-162
Closed Access | Times Cited: 13
Simplify the Difficult: Artificial Intelligence and Cloud Computing in Healthcare
Sargam Yadav, Abhishek Kaushik, Shubham Sharma
EAI/Springer Innovations in Communication and Computing (2021), pp. 101-124
Closed Access | Times Cited: 12

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