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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:

Diagnostic Algorithm Based on Machine Learning to Predict Complicated Appendicitis in Children Using CT, Laboratory, and Clinical Features
Jieun Byun, Seongkeun Park, Sook Min Hwang
Diagnostics (2023) Vol. 13, Iss. 5, pp. 923-923
Open Access | Times Cited: 12

Showing 12 citing articles:

Analysis of Incidence and Risk Factors of Complicated Acute Appendicitis in Children: Evidence From a Tertiary Pediatric Center
Sina Azadnajafabad, Faisal Awan, Bahar Ashjaei, et al.
International Journal of Pediatrics (2025) Vol. 2025, Iss. 1
Open Access
Artificial Intelligence in Gastrointestinal Imaging
Jaron Chong, Anish Kirpalani, Robert B. Moreland, et al.
Radiologic Clinics of North America (2025)
Closed Access
Diagnosing Acute Appendicitis in Children: The Role of Diagnostic Scores
Adelais Tzortzopoulou
IntechOpen eBooks (2025)
Closed Access
Progress in the application of machine learning in CT diagnosis of acute appendicitis
Jiaxin Li, Jiayin Ye, Yuan Luo, et al.
Abdominal Radiology (2025)
Closed Access
Predicting Complicated Appendicitis in Children: Pros and Cons of a New Score Combining Clinical Signs, Laboratory Values, and Ultrasound Images (CLU Score)
Konstantina Bekiaridou, Katerina Kambouri, Alexandra Giatromanolaki, et al.
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2275-2275
Open Access | Times Cited: 7
LesionScanNet: dual-path convolutional neural network for acute appendicitis diagnosis
Muhab Hariri, Ahmet Aydın, Osman Sıbıç, et al.
Health Information Science and Systems (2024) Vol. 13, Iss. 1
Closed Access | Times Cited: 1
Current use of artificial intelligence in the diagnosis and management of acute appendicitis
Micaela Cappuccio, Paolo Bianco, Marco Rotondo, et al.
Minerva Surgery (2024) Vol. 79, Iss. 3
Closed Access
Using shock index, pediatric age adjusted (SIPA) to predict prolonged length of stay in perforated appendicitis
Alexandra Barone-Camp, Amanda E. Louiselle, Samantha Bothwell, et al.
Research Square (Research Square) (2024)
Closed Access
The Impact of Systemic Inflammation Index and Systemic Inflammatory Response Index on Predicting Acute Appendicitis Complications in Children Under Five Years Old
Zerrin Özçelik, İlknur Banlı Cesur, Cemal Parlakgümüş
Research Square (Research Square) (2024)
Open Access
Are Preoperative CT Findings Useful in Predicting the Duration of Laparoscopic Appendectomy in Pediatric Patients? A Single Center Study
İsmail Taşkent, Bünyamin Ece, Mehmet Ali NARSAT
Journal of Clinical Medicine (2024) Vol. 13, Iss. 18, pp. 5504-5504
Open Access
MaskAppendix: Backbone-Enriched Mask R-CNN Based on Grad-CAM for Automatic Appendix Segmentation
Emre Dandıl, Betül Tiryaki Baştuğ, Mehmet Süleyman Yıldırım, et al.
Diagnostics (2024) Vol. 14, Iss. 21, pp. 2346-2346
Open Access
Using shock index, pediatric age adjusted (SIPA) to predict prolonged length of stay in perforated appendicitis: a retrospective review
Alexandra Barone-Camp, Amanda E. Louiselle, Samantha Bothwell, et al.
Pediatric Surgery International (2024) Vol. 40, Iss. 1
Closed Access
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