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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:

Putting artificial intelligence (AI) on the spot: machine learning evaluation of pulmonary nodules
Yasmeen K. Tandon, Brian J. Bartholmai, Chi Wan Koo
Journal of Thoracic Disease (2020) Vol. 12, Iss. 11, pp. 6954-6965
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Artificial intelligence: A critical review of applications for lung nodule and lung cancer
Constance de Margerie‐Mellon, Guillaume Chassagnon
Diagnostic and Interventional Imaging (2022) Vol. 104, Iss. 1, pp. 11-17
Open Access | Times Cited: 78
Research Progress of Respiratory Disease and Idiopathic Pulmonary Fibrosis Based on Artificial Intelligence
Gerui Zhang, Lin Luo, Limin Zhang, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 357-357
Open Access | Times Cited: 23
Breast Cancer Detection and Localizing the Mass Area Using Deep Learning
Md. Mijanur Rahman, Md. Zihad Bin Jahangir, Anisur Rahman, et al.
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 7, pp. 80-80
Open Access | Times Cited: 11
Advancing idiopathic pulmonary fibrosis prognosis through integrated CNN-LSTM predictive modeling and uncertainty quantification
A. Karthik, Sridhar Patthi, B. Uma Maheswari, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 106811-106811
Closed Access | Times Cited: 8
The current status and future of FDA-approved artificial intelligence tools in chest radiology in the United States
M.E. Milam, Chi Wan Koo
Clinical Radiology (2022) Vol. 78, Iss. 2, pp. 115-122
Closed Access | Times Cited: 30
Successful Implementation of an Artificial Intelligence-Based Computer-Aided Detection System for Chest Radiography in Daily Clinical Practice
Seungsoo Lee, Hyun Joo Shin, Sung‐Won Kim, et al.
Korean Journal of Radiology (2022) Vol. 23, Iss. 9, pp. 847-847
Open Access | Times Cited: 25
Incidentally found resectable lung cancer with the usage of artificial intelligence on chest radiographs
Se Hyun Kwak, Eun‐Kyung Kim, Myung Hyun Kim, et al.
PLoS ONE (2023) Vol. 18, Iss. 3, pp. e0281690-e0281690
Open Access | Times Cited: 15
Beyond high hopes: A scoping review of the 2019–2021 scientific discourse on machine learning in medical imaging
Vasileios Nittas, Paola Daniore, Constantin Landers, et al.
PLOS Digital Health (2023) Vol. 2, Iss. 1, pp. e0000189-e0000189
Open Access | Times Cited: 12
Revolutionizing Pulmonary Diagnostics: A Narrative Review of Artificial Intelligence Applications in Lung Imaging
Arman Sindhu, Ulhas Jadhav, Babaji Ghewade, et al.
Cureus (2024)
Open Access | Times Cited: 4
The utility of artificial intelligence in identifying radiological evidence of lung cancer and pulmonary tuberculosis in a high-burden tuberculosis setting
Zoliswa Nxumalo, Elvis M. Irusen, Brian Allwood, et al.
South African Medical Journal (2024), pp. e1846-e1846
Open Access | Times Cited: 4
Inteligencia Artificial en la detección del cáncer de pulmón
Janina Monserrath Ramos Portero, Andrea Carolina Cevallos Teneda
LATAM Revista Latinoamericana de Ciencias Sociales y Humanidades (2025) Vol. 6, Iss. 1
Closed Access
A Thorough Review of the Clinical Applications of Artificial Intelligence in Lung Cancer
Serafeim‐Chrysovalantis Kotoulas, Dionysios Spyratos, Κonstantinos Porpodis, et al.
Cancers (2025) Vol. 17, Iss. 5, pp. 882-882
Open Access
New Perspectives on Lung Cancer Screening and Artificial Intelligence
Leonardo Duranti, Luca Tavecchio, Luigi Rolli, et al.
Life (2025) Vol. 15, Iss. 3, pp. 498-498
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
How AI Can Help in the Diagnostic Dilemma of Pulmonary Nodules
Dalia Fahmy, Heba Kandil, Adel Khelifi, et al.
Cancers (2022) Vol. 14, Iss. 7, pp. 1840-1840
Open Access | Times Cited: 16
Independent evaluation of the accuracy of 5 artificial intelligence software for detecting lung nodules on chest X-rays
Kirill M. Arzamasov, Yuriy А. Vasilev, Maria A. Zelenova, et al.
Quantitative Imaging in Medicine and Surgery (2024) Vol. 14, Iss. 8, pp. 5288-5303
Open Access | Times Cited: 3
Procurement, commissioning and QA of AI based solutions: An MPE’s perspective on introducing AI in clinical practice
Hilde Bosmans, Federica Zanca, Frederik Gelaude
Physica Medica (2021) Vol. 83, pp. 257-263
Open Access | Times Cited: 21
ResDSda_U-Net: A Novel U-Net-Based Residual Network for Segmentation of Pulmonary Nodules in Lung CT Images
Zhanlin Ji, Ziheng Zhao, Xinyi Zeng, et al.
IEEE Access (2023) Vol. 11, pp. 87775-87789
Open Access | Times Cited: 9
The application of artificial intelligence in lung cancer: a narrative review
Huixian Zhang, Die Meng, Siqi Cai, et al.
Translational Cancer Research (2021) Vol. 10, Iss. 5, pp. 2478-2487
Open Access | Times Cited: 15
Performance of an AI based CAD system in solid lung nodule detection on chest phantom radiographs compared to radiology residents and fellow radiologists
Alan A. Peters, Amanda Decasper, Jaro Munz, et al.
Journal of Thoracic Disease (2021) Vol. 13, Iss. 5, pp. 2728-2737
Open Access | Times Cited: 14
Diagnostic validation of a deep learning nodule detection algorithm in low-dose chest CT: determination of optimized dose thresholds in a virtual screening scenario
Alan A. Peters, A Huber, Verena Carola Obmann, et al.
European Radiology (2022) Vol. 32, Iss. 6, pp. 4324-4332
Closed Access | Times Cited: 9
The role of artificial intelligence in the management of lung cancer: a narrative review

Futurity Medicine. (2023), pp. 36-46
Open Access | Times Cited: 5
Artificial Intelligence in Chest Radiology: Advancements and Applications for Improved Global Health Outcomes
Mohammad Jalloul, Dana Alkhulaifat, Monica Miranda‐Schaeubinger, et al.
Current Pulmonology Reports (2024) Vol. 13, Iss. 1, pp. 1-9
Closed Access | Times Cited: 1
Research on bronze wine vessel classification using improved SSA-CBAM-GNNs
Weifan Wang, Siming Miao, Yin Liao
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0295690-e0295690
Open Access | Times Cited: 1
Challenging the significance of SUV-based parameters in a large-scale retrospective study on lung lesions
Cristiano Pini, Margarita Kirienko, Fabrizia Gelardi, et al.
Cancer Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
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