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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:

Deep Learning-Assisted Diagnosis of Pediatric Skull Fractures on Plain Radiographs
Jae Won Choi, Yeon Jin Cho, Ji Young Ha, et al.
Korean Journal of Radiology (2022) Vol. 23, Iss. 3, pp. 343-343
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Hybrid SFNet Model for Bone Fracture Detection and Classification Using ML/DL
Dhirendra Prasad Yadav, Ashish Sharma, Senthil Athithan, et al.
Sensors (2022) Vol. 22, Iss. 15, pp. 5823-5823
Open Access | Times Cited: 54
Application of artificial intelligence technology in the field of orthopedics: a narrative review
Pengran Liu, Jiayao Zhang, Songxiang Liu, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 1
Open Access | Times Cited: 13
A review on artificial intelligence for the diagnosis of fractures in facial trauma imaging
Tuan D. Pham, Simon Holmes, Paul Coulthard
Frontiers in Artificial Intelligence (2024) Vol. 6
Open Access | Times Cited: 9
The Role of Artificial Intelligence in the Identification and Evaluation of Bone Fractures
Andrew Tieu, Ezriel Kroen, Yonaton Kadish, et al.
Bioengineering (2024) Vol. 11, Iss. 4, pp. 338-338
Open Access | Times Cited: 9
Artificial intelligence for radiological paediatric fracture assessment: a systematic review
Susan C. Shelmerdine, Richard White, Hantao Liu, et al.
Insights into Imaging (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 30
Artificial intelligence CAD tools in trauma imaging: a scoping review from the American Society of Emergency Radiology (ASER) AI/ML Expert Panel
David Dreizin, Pedro V. Staziaki, Garvit D. Khatri, et al.
Emergency Radiology (2023) Vol. 30, Iss. 3, pp. 251-265
Open Access | Times Cited: 18
Reporting Guidelines for Artificial Intelligence Studies in Healthcare (for Both Conventional and Large Language Models): What’s New in 2024
Seong Ho Park, Chong Hyun Suh
Korean Journal of Radiology (2024) Vol. 25, Iss. 8, pp. 687-687
Open Access | Times Cited: 5
Artificial Intelligence (AI) for Fracture Diagnosis: An Overview of Current Products and Considerations for Clinical Adoption, From the AJR Special Series on AI Applications
John R. Zech, Samantha M. Santomartino, Paul H. Yi
American Journal of Roentgenology (2022) Vol. 219, Iss. 6, pp. 869-878
Closed Access | Times Cited: 22
A Minority Class Balanced Approach Using the DCNN-LSTM Method to Detect Human Wrist Fracture
Tooba Rashid, M. Sultan Zia, Najam-ur Rehman, et al.
Life (2023) Vol. 13, Iss. 1, pp. 133-133
Open Access | Times Cited: 11
Artificial intelligence diagnostic accuracy in fracture detection from plain radiographs and comparing it with clinicians: a systematic review and meta-analysis
Ali Nowroozi, Mohammad Amin Salehi, Parnian Shobeiri, et al.
Clinical Radiology (2024) Vol. 79, Iss. 8, pp. 579-588
Closed Access | Times Cited: 4
Crucial Role of Understanding in Human-Artificial Intelligence Interaction for Successful Clinical Adoption
Seong Ho Park, Curtis P. Langlotz
Korean Journal of Radiology (2025) Vol. 26
Closed Access
KAFATASI KIRIKLARININ TEŞHİSİNDE YAPAY ZEKÂ: GÜNCEL DERİN ÖĞRENME MİMARİ PERFORMANSLARI
Fidan Kaya Gülağız, Tuğrul Hakan Gençtürk, İsmail Kaya
Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi (2025) Vol. 28, Iss. 1, pp. 51-64
Open Access
Classification of AO/OTA 31A/B femur fractures in X-ray images using YOLOv8 and advanced data augmentation techniques
Giorgia Marullo, Luca Ulrich, Francesca Giada Antonaci, et al.
Bone Reports (2024) Vol. 22, pp. 101801-101801
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
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
Artificial Intelligence Application in Skull Bone Fracture with Segmentation Approach
Chia-Yin Lu, Yu-Hsin Wang, Hsiu-Ling Chen, et al.
Deleted Journal (2024)
Open Access | Times Cited: 2
Deep learning-based prediction of rib fracture presence in frontal radiographs of children under two years of age: a proof-of-concept study
Adarsh Ghosh, Saurav Bose, Daniella Patton, et al.
British Journal of Radiology (2023) Vol. 96, Iss. 1145
Open Access | Times Cited: 6
A Bone Fracture Detection using AI-Based Techniques
Preksha Pareek, Ruchi Jayaswal, Shruti Patil, et al.
Scalable Computing Practice and Experience (2023) Vol. 24, Iss. 2, pp. 161-171
Open Access | Times Cited: 5
The Quantitative Evaluation of Automatic Segmentation in Lumbar Magnetic Resonance Images
Yao-Wen Liang, Yu-Ting Fang, Ting-Chun Lin, et al.
Neurospine (2024) Vol. 21, Iss. 2, pp. 665-675
Open Access | Times Cited: 1
Diagnostic performance of neural network algorithms in skull fracture detection on CT scans: a systematic review and meta-analysis
Guive Sharifi, Ramtin Hajibeygi, S A Modares Zamani, et al.
Emergency Radiology (2024) Vol. 32, Iss. 1, pp. 97-111
Closed Access | Times Cited: 1
Development and evaluation of deep-learning measurement of leg length discrepancy: bilateral iliac crest height difference measurement
Min Jong Kim, Young Hun Choi, Seul Bi Lee, et al.
Pediatric Radiology (2022) Vol. 52, Iss. 11, pp. 2197-2205
Closed Access | Times Cited: 6
Diagnosis of nasal bone fractures on plain radiographs via convolutional neural networks
Yoonho Nam, Yangsean Choi, Jung-Hwa Kang, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 6
Reporting Quality of Research Studies on AI Applications in Medical Images According to the CLAIM Guidelines in a Radiology Journal With a Strong Prominence in Asia
D. Kim, Hyun Woo Oh, Chong Hyun Suh
Korean Journal of Radiology (2023) Vol. 24, Iss. 12, pp. 1179-1179
Open Access | Times Cited: 3
Developing and Evaluating Deep Learning Algorithms for Object Detection: Key Points for Achieving Superior Model Performance
Jang-Hoon Oh, Hyug‐Gi Kim, Kyung Mi Lee
Korean Journal of Radiology (2023) Vol. 24, Iss. 7, pp. 698-698
Open Access | Times Cited: 3
Systematic review of the performance evaluation of clinicians with or without the aid of machine learning clinical decision support system
Mikko Nuutinen, Riikka‐Leena Leskelä
Health and Technology (2023) Vol. 13, Iss. 4, pp. 557-570
Open Access | Times Cited: 2
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