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:

AI Improves Nodule Detection on Chest Radiographs in a Health Screening Population: A Randomized Controlled Trial
Ju Gang Nam, Eui Jin Hwang, Jayoun Kim, et al.
Radiology (2023) Vol. 307, Iss. 2
Closed Access | Times Cited: 69

Showing 26-50 of 69 citing articles:

Performance of deep learning-based autodetection of arterial stenosis on head and neck CT angiography: an independent external validation study
Yongwei Yang, Xinyue Huan, Dajing Guo, et al.
La radiologia medica (2023) Vol. 128, Iss. 9, pp. 1103-1115
Closed Access | Times Cited: 10

Enhancing Diagnostic Accuracy of Lung Nodules in Chest Computed Tomography Using Artificial Intelligence: Retrospective Analysis
W Liu, You Wu, Zhuozhao Zheng, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e64649-e64649
Open Access

AI Implementation in Thoracic Radiology: It Is Getting Closer
Edwin J.R. van Beek
Radiology (2025) Vol. 314, Iss. 2
Closed Access

DETECT IPN: Real-World Experience with Automated Detection of Incidental Pulmonary Nodules in an All-Comer Population
Johannes Dunsche, Hans‐Ulrich Kauczor, Oyunbileg von Stackelberg, et al.
Open Journal of Radiology (2025) Vol. 15, Iss. 01, pp. 13-25
Open Access

Artificial Intelligence for Regional Anesthesiology and Acute Pain Medicine in the 21st Century
Kristopher M. Schroeder, Monika Nanda, Edward R. Mariano, et al.
Anesthesiology Clinics (2025)
Closed Access

An Overview of Artificial Intelligence in Gynaecological Pathology Diagnostics
Anthony M. Joshua, Katie E. Allen, Nicolas M. Orsi
Cancers (2025) Vol. 17, Iss. 8, pp. 1343-1343
Open Access

Artificial Intelligence in Chest Radiography—A Comparative Review of Human and Veterinary Medicine
Alessandro Rubini, Roberto Di Via, Vito Paolo Pastore, et al.
Veterinary Sciences (2025) Vol. 12, Iss. 5, pp. 404-404
Open Access

Human-AI Complementarity in Diagnostic Radiology: The Case of Double Reading
Isaac Anderson Wagner, Kaustubh Chakradeo
Philosophy & Technology (2025) Vol. 38, Iss. 2
Open Access

Multi-centric AI Model for Unruptured Intracranial Aneurysm Detection and Volumetric Segmentation in 3D TOF-MRI
Ashraya K. Indrakanti, Jakob Wasserthal, Martin Segeroth, et al.
Deleted Journal (2025)
Open Access

Survey on Value Elements Provided by Artificial Intelligence and Their Eligibility for Insurance Coverage With an Emphasis on Patient-Centered Outcomes
Hoyol Jhang, So Jin Park, Ah-Ram Sul, et al.
Korean Journal of Radiology (2024) Vol. 25, Iss. 5, pp. 414-414
Open Access | Times Cited: 2

Leveraging State-of-the-Art AI Algorithms in Personalized Oncology: From Transcriptomics to Treatment
Anwar Shams
Diagnostics (2024) Vol. 14, Iss. 19, pp. 2174-2174
Open Access | Times Cited: 2

Performance of artificial intelligence-based software for the automatic detection of lung lesions on chest radiographs of patients with suspected lung cancer
Atsushi Takamatsu, Midori Ueno, Kotaro Yoshida, et al.
Japanese Journal of Radiology (2023) Vol. 42, Iss. 3, pp. 291-299
Open Access | Times Cited: 4

Impact of AI-assisted CXR analysis in detecting incidental lung nodules and lung cancers in non-respiratory outpatient clinics
Se Hyun Kwak, Kyeong Yeon Kim, Ji Soo Choi, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 1

Added value of artificial intelligence solutions for arterial stenosis detection on head and neck CT angiography: A randomized crossover multi-reader multi-case study
Kunhua Li, Yang Yang, Yongwei Yang, et al.
Diagnostic and Interventional Imaging (2024) Vol. 106, Iss. 1, pp. 11-21
Closed Access | Times Cited: 1

AI-assisted Analysis to Facilitate Detection of Humeral Lesions on Chest Radiographs
Harim Kim, Kyungsu Kim, Seong Je Oh, et al.
Radiology Artificial Intelligence (2024) Vol. 6, Iss. 3
Open Access | Times Cited: 1

What is the role of artificial intelligence in general surgery?
Seung Min Baik, Ryung‐Ah Lee
The Ewha Medical Journal (2024) Vol. 47, Iss. 2
Open Access | Times Cited: 1

Deep learning-based automatic detection for pulmonary nodules on chest radiographs: The relationship with background lung condition, nodule characteristics, and location
Midori Ueno, Kotaro Yoshida, Atsushi Takamatsu, et al.
European Journal of Radiology (2023) Vol. 166, pp. 111002-111002
Open Access | Times Cited: 3

Identification of age-dependent features of human bronchi using explainable artificial intelligence
Hiroaki Ikushima, Kazuhiro Usui
ERJ Open Research (2023) Vol. 9, Iss. 5, pp. 00362-2023
Open Access | Times Cited: 3

Application value of a computer-aided diagnosis and management system for the detection of lung nodules
Jingwen Chen, Rong Cao, Shengyin Jiao, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 13, Iss. 10, pp. 6929-6941
Open Access | Times Cited: 3

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