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:

How artificial intelligence improves radiological interpretation in suspected pulmonary embolism
A. Ben Cheikh, G. Gorincour, Hubert Nivet, et al.
European Radiology (2022) Vol. 32, Iss. 9, pp. 5831-5842
Open Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Clinical applications of artificial intelligence in radiology
Claudia Mello‐Thoms, C.A.B. Mello
British Journal of Radiology (2023) Vol. 96, Iss. 1150
Open Access | Times Cited: 46

Artificial Intelligence Tool for Detection and Worklist Prioritization Reduces Time to Diagnosis of Incidental Pulmonary Embolism at CT
Laurens Topff, Erik Ranschaert, Annemarieke Bartels‐Rutten, et al.
Radiology Cardiothoracic Imaging (2023) Vol. 5, Iss. 2
Open Access | Times Cited: 42

Does artificial intelligence surpass the radiologist?
Philippe Soyer, Elliot K. Fishman, Steven P. Rowe, et al.
Diagnostic and Interventional Imaging (2022) Vol. 103, Iss. 10, pp. 445-447
Open Access | Times Cited: 47

Artificial Intelligence in Emergency Radiology: Where Are We Going?
Michaela Cellina, Maurizio Cè, Giovanni Irmici, et al.
Diagnostics (2022) Vol. 12, Iss. 12, pp. 3223-3223
Open Access | Times Cited: 39

Prospective Evaluation of AI Triage of Pulmonary Emboli on CT Pulmonary Angiograms
Steven Rothenberg, Cody Savage, Asser Abou Elkassem, et al.
Radiology (2023) Vol. 309, Iss. 1
Closed Access | Times Cited: 27

New trend in artificial intelligence-based assistive technology for thoracic imaging
Masahiro Yanagawa, Rintaro Ito, Taiki Nozaki, et al.
La radiologia medica (2023) Vol. 128, Iss. 10, pp. 1236-1249
Open Access | Times Cited: 25

Deep Learning-Based Algorithm for Automatic Detection of Pulmonary Embolism in Chest CT Angiograms
Philippe Greniér, Angela Ayobi, Sarah Quenet, et al.
Diagnostics (2023) Vol. 13, Iss. 7, pp. 1324-1324
Open Access | Times Cited: 23

Radiologist Worklist Reprioritization Using Artificial Intelligence: Impact on Report Turnaround Times for CTPA Examinations Positive for Acute Pulmonary Embolism
Kiran Batra, Yin Xi, Siddharth Bhagwat, et al.
American Journal of Roentgenology (2023) Vol. 221, Iss. 3, pp. 324-333
Closed Access | Times Cited: 23

Quality of Interaction Between Clinicians and Artificial Intelligence Systems. A Systematic Review
Argyrios Perivolaris, Chris Adams-McGavin, Yasmine Madan, et al.
Future Healthcare Journal (2024) Vol. 11, Iss. 3, pp. 100172-100172
Open Access | Times Cited: 12

Anatomically aware dual-hop learning for pulmonary embolism detection in CT pulmonary angiograms
Florin Condrea, Saikiran Rapaka, Lucian Itu, et al.
Computers in Biology and Medicine (2024) Vol. 174, pp. 108464-108464
Closed Access | Times Cited: 8

Effects of artificial intelligence implementation on efficiency in medical imaging—a systematic literature review and meta-analysis
Katharina Wenderott, Jim Krups, Fiona Zaruchas, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 8

Prospective Evaluation of Artificial Intelligence Triage of Incidental Pulmonary Emboli on Contrast-Enhanced CT Examinations of the Chest or Abdomen
Cody Savage, Asser Abou Elkassem, Omar Hamki, et al.
American Journal of Roentgenology (2024) Vol. 223, Iss. 3
Closed Access | Times Cited: 7

Performance and clinical utility of an artificial intelligence-enabled tool for pulmonary embolism detection
Angela Ayobi, Peter Chang, Daniel Chow, et al.
Clinical Imaging (2024) Vol. 113, pp. 110245-110245
Closed Access | Times Cited: 6

Acute pulmonary embolism: Diagnosis and management
Harshwardhan Khandait, Pankaj Harkut, Vinod Khandait, et al.
Indian Heart Journal (2023) Vol. 75, Iss. 5, pp. 335-342
Open Access | Times Cited: 13

Retrospective batch analysis to evaluate the diagnostic accuracy of a clinically deployed AI algorithm for the detection of acute pulmonary embolism on CTPA
Eline Langius-Wiffen, Pim A. de Jong, Firdaus A. Mohamed Hoesein, et al.
Insights into Imaging (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 12

Added value of an artificial intelligence algorithm in reducing the number of missed incidental acute pulmonary embolism in routine portal venous phase chest CT
Eline Langius-Wiffen, Pim A. de Jong, Firdaus A. Mohamed Hoesein, et al.
European Radiology (2023) Vol. 34, Iss. 1, pp. 367-373
Closed Access | Times Cited: 12

A deep learning-based algorithm improves radiology residents’ diagnoses of acute pulmonary embolism on CT pulmonary angiograms
Alexandre Vallée, R Quint, Anne‐Laure Brun, et al.
European Journal of Radiology (2024) Vol. 171, pp. 111324-111324
Closed Access | Times Cited: 4

Evolving and Novel Applications of Artificial Intelligence in Thoracic Imaging
Jin Y. Chang, Mina S. Makary
Diagnostics (2024) Vol. 14, Iss. 13, pp. 1456-1456
Open Access | Times Cited: 4

Potential strength and weakness of artificial intelligence integration in emergency radiology: a review of diagnostic utilizations and applications in patient care optimization
Mobina Fathi, Reza Eshraghi, Shima Behzad, et al.
Emergency Radiology (2024) Vol. 31, Iss. 6, pp. 887-901
Closed Access | Times Cited: 4

Independent Evaluation of a Commercial AI Software for Incidental Findings of Pulmonary Embolism (IPE) on a Large Hospital Retrospective Dataset
Simone Ambrogio, I Verdon, Brianna Laureano, et al.
Radiology Research and Practice (2025) Vol. 2025, Iss. 1
Open Access

Research progress of artificial intelligence and machine learning in pulmonary embolism
Yue Li, Limin Zhang, Haoran Liu, et al.
Frontiers in Medicine (2025) Vol. 12
Open Access

Value assessment of augmentative artificial intelligence for assessment of pulmonary emboli on CT – a meta-analysis comprising 15,963 CT scans
Igor M Kitanovski, Alec Buetow, S. Cody Schoettler Woll, et al.
Emergency Radiology (2025)
Closed Access

Cardiac Computed Tomography Measurements in Pulmonary Embolism Associated with Clinical Deterioration
Anthony J. Weekes, A. Pikus, Parker L. Hambright, et al.
Western Journal of Emergency Medicine (2025) Vol. 26, Iss. 2
Open Access

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