
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:
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
Johan N Siebert, Mary-Anne Hartley, Delphine S. Courvoisier, et al.
BMC Pulmonary Medicine (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 10
Showing 10 citing articles:
Optimized fuzzy K-nearest neighbor approach for accurate lung cancer prediction based on radial endobronchial ultrasonography
Jie Xing, Chengye Li, Peiliang Wu, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108038-108038
Closed Access | Times Cited: 7
Jie Xing, Chengye Li, Peiliang Wu, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108038-108038
Closed Access | Times Cited: 7
Exploring the deep learning of artificial intelligence in nursing: a concept analysis with Walker and Avant’s approach
Supichaya Wangpitipanit, Jiraporn Lininger, Nicholas Anderson
BMC Nursing (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 7
Supichaya Wangpitipanit, Jiraporn Lininger, Nicholas Anderson
BMC Nursing (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 7
An explainable and accurate transformer-based deep learning model for wheeze classification utilizing real-world pediatric data
Beom Joon Kim, Jeong Hyeon Mun, Dae Hwan Hwang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Beom Joon Kim, Jeong Hyeon Mun, Dae Hwan Hwang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Machine Learning-Based Methods for Detecting Respiratory Abnormalities Using Audio and Visual Analysis: A Review
Sufyan Othman Zaben, Wan Mohd Nazmee Wan Zainon, Ahmad H. Sabry
Results in Engineering (2025), pp. 104744-104744
Open Access
Sufyan Othman Zaben, Wan Mohd Nazmee Wan Zainon, Ahmad H. Sabry
Results in Engineering (2025), pp. 104744-104744
Open Access
A Novel Automatic Algorithm to Support Lung Ultrasound Non-Expert Physicians in Interstitial Pneumonia Evaluation: A Single-Center Study
Marialuisa Sveva Marozzi, Sebastiano Cicco, Francesca Mancini, et al.
Diagnostics (2024) Vol. 14, Iss. 2, pp. 155-155
Open Access | Times Cited: 2
Marialuisa Sveva Marozzi, Sebastiano Cicco, Francesca Mancini, et al.
Diagnostics (2024) Vol. 14, Iss. 2, pp. 155-155
Open Access | Times Cited: 2
Deformable Dual-Path Networks for Chronic Obstructive Pulmonary Disease Staging in CT Images
Chao Min, Xiongbiao Luo, Wenkang Fan, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 19, pp. 1-8
Closed Access | Times Cited: 1
Chao Min, Xiongbiao Luo, Wenkang Fan, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 19, pp. 1-8
Closed Access | Times Cited: 1
Classification and Recognition of Lung Sounds Using Artificial Intelligence and Machine Learning: A Literature Review
Xiaoran Xu, Ravi Sankar
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 10, pp. 127-127
Open Access | Times Cited: 1
Xiaoran Xu, Ravi Sankar
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 10, pp. 127-127
Open Access | Times Cited: 1
New perspectives on the use of artificial intelligence in the ultrasound evaluation of lung diseases
Andrea Boccatonda, Fabio Piscaglia
Journal of Ultrasound (2024) Vol. 27, Iss. 2, pp. 429-431
Closed Access
Andrea Boccatonda, Fabio Piscaglia
Journal of Ultrasound (2024) Vol. 27, Iss. 2, pp. 429-431
Closed Access
Deep-X: Automated Diagnosis of Respiratory Sounds Using Deep Learning
S. Pratap Singh, Aakriti Chauhan, D. Ganesh
(2024), pp. 1-7
Closed Access
S. Pratap Singh, Aakriti Chauhan, D. Ganesh
(2024), pp. 1-7
Closed Access
Exploring the Deep Learning of Artificial Intelligence in Nursing: A Concept Analysis with Walker and Avant’s Approach
Supichaya Wangpitipanit, Jiraporn Lininger, Nicholas Anderson
Research Square (Research Square) (2024)
Open Access
Supichaya Wangpitipanit, Jiraporn Lininger, Nicholas Anderson
Research Square (Research Square) (2024)
Open Access