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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 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: 38

Showing 1-25 of 38 citing articles:

Digital Twins: The New Frontier for Personalized Medicine?
Michaela Cellina, Maurizio Cè, Marco Alì, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7940-7940
Open Access | Times Cited: 65
Artificial Intelligence in Lung Cancer Screening: The Future Is Now
Michaela Cellina, Laura Maria Cacioppa, Maurizio Cè, et al.
Cancers (2023) Vol. 15, Iss. 17, pp. 4344-4344
Open Access | Times Cited: 56
Artificial Intelligence in Brain Tumor Imaging: A Step toward Personalized Medicine
Maurizio Cè, Giovanni Irmici, Chiara Foschini, et al.
Current Oncology (2023) Vol. 30, Iss. 3, pp. 2673-2701
Open Access | Times Cited: 48
Chest X-ray in Emergency Radiology: What Artificial Intelligence Applications Are Available?
Giovanni Irmici, Maurizio Cè, Elena Caloro, et al.
Diagnostics (2023) Vol. 13, Iss. 2, pp. 216-216
Open Access | Times Cited: 31
Teeth Segmentation in Panoramic Dental X-ray Using Mask Regional Convolutional Neural Network
Giulia Rubiu, Marco Bologna, Michaela Cellina, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7947-7947
Open Access | Times Cited: 22
Diagnostic Performance of an Artificial Intelligence Software for the Evaluation of Bone X-Ray Examinations Referred from the Emergency Department
Alejandro Díaz Moreno, Raquel Cano Alonso, Ana Fernández Alfonso, et al.
Diagnostics (2025) Vol. 15, Iss. 4, pp. 491-491
Open Access
Mitigating Bias in Clinical Machine Learning Models
Julio C. Perez-Downes, Andrew S. Tseng, Keith McConn, et al.
Current Treatment Options in Cardiovascular Medicine (2024) Vol. 26, Iss. 3, pp. 29-45
Closed Access | Times Cited: 4
Artificial Intelligence in Optimizing the Functioning of Emergency Departments; a Systematic Review of Current Solutions.
Aleksandra Szymczyk, Krion Robert, Krzyzaniak Klaudia, et al.
PubMed (2024) Vol. 12, Iss. 1, pp. e22-e22
Closed Access | Times Cited: 4
Pitfalls in Interpretive Applications of Artificial Intelligence in Radiology
Shima Behzad, Shahin Tabatabaei, Max Yang Lu, et al.
American Journal of Roentgenology (2024) Vol. 223, Iss. 4
Closed Access | Times Cited: 4
Leveraging Artificial Intelligence in the Diagnosis and Management of Pulmonary Embolism
Hamid Mojibian, Akhil Khosla
(2025), pp. 1-15
Closed Access
Emergency and Trauma Imaging
Michael N. Patlas, Douglas S. Katz, Devang Odedra
(2025), pp. 1-7
Closed Access
AI-driven biomarker discovery: enhancing precision in cancer diagnosis and prognosis
Esther Ugo Alum
Discover Oncology (2025) Vol. 16, Iss. 1
Open Access
Harnessing artificial intelligence for theragnostic applications: Current landscape and future directions
Arundhati Pande, Abhishek Kumar, Ashish Anjankar
Multidisciplinary Reviews (2025) Vol. 8, Iss. 7, pp. 2025218-2025218
Closed Access
Research Status and Challenges on the Sustainable Development of Artificial Intelligence Courses from a Global Perspective
Ying Yang, Jinruo Qin, Jing Lei, et al.
Sustainability (2023) Vol. 15, Iss. 12, pp. 9335-9335
Open Access | Times Cited: 9
Operating Artificial Intelligence to Assist Physicians Diagnose Medical Images: A Narrative Review
Oluwaseun A. Adelaja, Hussein Alkattan
Mesopotamian Journal of Artificial Intelligence in Healthcare (2023) Vol. 2023, pp. 45-51
Open Access | Times Cited: 9
Machine Learning in Neuroimaging of Traumatic Brain Injury: Current Landscape, Research Gaps, and Future Directions
Kevin Pierre, Jordan Turetsky, Abheek Raviprasad, et al.
Trauma Care (2024) Vol. 4, Iss. 1, pp. 31-43
Open Access | Times Cited: 3
GPT-4 Vision: Multi-Modal Evolution of ChatGPT and Potential Role in Radiology
Ramin Javan, Theodore Kim, Navid Mostaghni
Cureus (2024)
Open Access | Times Cited: 3
Artificial intelligence in emergency neuroradiology: Current applications and perspectives
Bo Gong, Farzad Khalvati, Birgit Ertl‐Wagner, et al.
Diagnostic and Interventional Imaging (2024)
Open Access | Times Cited: 3
Diagnostic performance of an AI algorithm for the detection of appendicular bone fractures in pediatric patients
Paolo Niccolò Franco, Cesare Maino, Ilaria Mariani, et al.
European Journal of Radiology (2024) Vol. 178, pp. 111637-111637
Closed Access | Times Cited: 2
Anwendungsspektrum der künstlichen Intelligenz in der Radiologie
Johannes Jahn, Jakob Weiß, Fabian Bamberg, et al.
Deleted Journal (2024) Vol. 64, Iss. 10, pp. 752-757
Closed Access | Times Cited: 2
Diagnostic Accuracy and Performance Analysis of a Scanner-Integrated Artificial Intelligence Model for the Detection of Intracranial Hemorrhages in a Traumatology Emergency Department
Jonas Kiefer, Markus Kopp, Theresa Ruettinger, et al.
Bioengineering (2023) Vol. 10, Iss. 12, pp. 1362-1362
Open Access | Times Cited: 6
A Deep Learning Model Based on Capsule Networks for COVID Diagnostics through X-ray Images
Gabriela Rangel, Juan C. Cuevas‐Tello, Mariano Rivera, et al.
Diagnostics (2023) Vol. 13, Iss. 17, pp. 2858-2858
Open Access | Times Cited: 4
Combining Non-Contrast CT Signs With Onset-to-Imaging Time to Predict the Evolution of Intracerebral Hemorrhage
Lei Song, Xiaoming Qiu, Cun Zhang, et al.
Korean Journal of Radiology (2024) Vol. 25, Iss. 2, pp. 166-166
Open Access | Times Cited: 1
AI in Acute Cerebrovascular Disorders: What can the Radiologist Contribute?
Yi Zhang, Jonathan Joshi, Mohiuddin Hadi
Seminars in Roentgenology (2024) Vol. 59, Iss. 2, pp. 137-147
Closed Access | Times Cited: 1
Assessing the Performance of Artificial Intelligence Models: Insights from the American Society of Functional Neuroradiology Artificial Intelligence Competition
Bin Jiang, Burak Berksu Ozkara, Guangming Zhu, et al.
American Journal of Neuroradiology (2024) Vol. 45, Iss. 9, pp. 1276-1283
Closed Access | Times Cited: 1
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