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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:

Is Artificial Intelligence the New Friend for Radiologists? A Review Article
Sravani Gampala, Varun Vankeshwaram, Satya Siva P Gadula
Cureus (2020)
Open Access | Times Cited: 44

Showing 1-25 of 44 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: 38
First-year nursing students’ attitudes towards artificial intelligence: Cross-sectional multi-center study
Anita Lukić, Nenad Kudelić, Vesna Antičević, et al.
Nurse Education in Practice (2023) Vol. 71, pp. 103735-103735
Closed Access | Times Cited: 36
The Integration of Deep Learning in Radiotherapy: Exploring Challenges, Opportunities, and Future Directions through an Umbrella Review
Andrea Lastrucci, Yannick Wandael, Renzo Ricci, et al.
Diagnostics (2024) Vol. 14, Iss. 9, pp. 939-939
Open Access | Times Cited: 7
Artificial Intelligence in Teleradiology
Manuel Duarte Lobo
Advances in medical education, research, and ethics (AMERE) book series (2023), pp. 80-104
Closed Access | Times Cited: 16
Navigating the ethical landscape of artificial intelligence in radiography: a cross-sectional study of radiographers’ perspectives
Faten Mane Aldhafeeri
BMC Medical Ethics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 6
Healthcare Systems and Artificial Intelligence: Focus on Challenges and the International Regulatory Framework
Alessia Romagnoli, Francesco Ferrara, Roberto Langella, et al.
Pharmaceutical Research (2024) Vol. 41, Iss. 4, pp. 721-730
Closed Access | Times Cited: 5
Revolutionizing Radiology With Artificial Intelligence
Abhiyan Bhandari
Cureus (2024)
Open Access | Times Cited: 5
Artificial intelligence support improves diagnosis accuracy in anterior segment eye diseases
Hiroki Maehara, Yuta Ueno, Takefumi Yamaguchi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Future Use of AI in Diagnostic Medicine: 2-Wave Cross-Sectional Survey Study
Bernardo Pereira Cabral, Luiza Amara Maciel Braga, Carlos Gilbert Conte Filho, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e53892-e53892
Open Access
Metaphors in digital radiology: ethical implications for responsibility assignments of human-AI imaginaries
Frank Ursin, Katharina Fürholzer, Sabine Salloch
AI & Society (2025)
Open Access
The Artificial Intelligence in Digital Radiology: Part 1: The Challenges, Acceptance and Consensus
Daniele Giansanti, Francesco Di Basilio
Healthcare (2022) Vol. 10, Iss. 3, pp. 509-509
Open Access | Times Cited: 26
Comparison of artificial intelligence to the veterinary radiologist's diagnosis of canine cardiogenic pulmonary edema
Eunbee Kim, Anthony J. Fischetti, Pratheev S. Sreetharan, et al.
Veterinary Radiology & Ultrasound (2022) Vol. 63, Iss. 3, pp. 292-297
Closed Access | Times Cited: 23
Artificial Intelligence in Pediatric Cardiology: A Scoping Review
Yashendra Sethi, Neil Patel, Nirja Kaka, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 23, pp. 7072-7072
Open Access | Times Cited: 21
Efficiency, accuracy, and health professional's perspectives regarding artificial intelligence in radiology practice: A scoping review
Chanchan He, Weiqi Liu, Jing Xu, et al.
iRadiology (2024) Vol. 2, Iss. 2, pp. 156-172
Open Access | Times Cited: 3
Multicentric study to evaluate the effectiveness of Thermalytix as compared with standard screening modalities in subjects who show possible symptoms of suspected breast cancer
Akshita Singh, Venkatraman Bhat, S Sudhakar, et al.
BMJ Open (2021) Vol. 11, Iss. 10, pp. e052098-e052098
Open Access | Times Cited: 24
Artificial intelligence-based decision support system (AI-DSS) implementation in radiology residency: Introducing residents to AI in the clinical setting
Tina Shiang, Elisabeth R. Garwood, Carolynn M. DeBenedectis
Clinical Imaging (2022) Vol. 92, pp. 32-37
Closed Access | Times Cited: 17
Artificial Intelligence-Based Software with CE Mark for Chest X-ray Interpretation: Opportunities and Challenges
Salvatore Claudio Fanni, Alessandro Marcucci, Federica Volpi, et al.
Diagnostics (2023) Vol. 13, Iss. 12, pp. 2020-2020
Open Access | Times Cited: 8
Radiology as a Specialty in the Era of Artificial Intelligence: A Systematic Review and Meta-analysis on Medical Students, Radiology Trainees, and Radiologists
Amir Hassankhani, Melika Amoukhteh, Parya Valizadeh, et al.
Academic Radiology (2023) Vol. 31, Iss. 1, pp. 306-321
Closed Access | Times Cited: 8
Changes in Radiology Due to Artificial Intelligence That Can Attract Medical Students to the Specialty
David Liu, Kamil Abu-Shaban, Safwan S. Halabi, et al.
JMIR Medical Education (2023) Vol. 9, pp. e43415-e43415
Open Access | Times Cited: 6
A qualitative study to explore opinions of Saudi Arabian radiologists concerning AI-based applications and their impact on the future of the radiology
Walaa Alsharif, Abdulaziz A. Qurashi, Fadi Toonsi, et al.
BJR|Open (2022) Vol. 4, Iss. 1
Open Access | Times Cited: 10
Machine Learning for Renal Pathologies: An Updated Survey
Roberto Magherini, Elisa Mussi, Yary Volpe, et al.
Sensors (2022) Vol. 22, Iss. 13, pp. 4989-4989
Open Access | Times Cited: 10
Artificial Intelligence in Radiology
Alireza Mohseni, Elena Ghotbi, Foad Kazemi, et al.
Radiologic Clinics of North America (2024) Vol. 62, Iss. 6, pp. 935-947
Closed Access | Times Cited: 1
Artificial intelligence and machine learning applications for the imaging of bone and soft tissue tumors
Paniz Sabeghi, Ketki Kinkar, Gloria Del Rosario Castaneda, et al.
Frontiers in Radiology (2024) Vol. 4
Open Access | Times Cited: 1
Artificial Intelligence Support Improves Diagnosis Accuracy in Anterior Segment Eye Diseases
Hiroki Maehara, Yuta Ueno, Takefumi Yamaguchi, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Artificial Intelligence Evidence-Based Current Status and Potential for Lower Limb Vascular Management
Xenia Butova, Sergey Shayakhmetov, М.В. Федин, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 12, pp. 1280-1280
Open Access | Times Cited: 11
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