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:
Applying an explainable machine learning model might reduce the number of negative appendectomies in pediatric patients with a high probability of acute appendicitis
Ivan Males, Zvonimir Boban, Marko Kumrić, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Ivan Males, Zvonimir Boban, Marko Kumrić, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Showing 4 citing articles:
Diagnostic value of the MZXBTCH scoring system for acute complex appendicitis
Tianyi Ma, Qian Zhang, Hongwei Zhao, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Tianyi Ma, Qian Zhang, Hongwei Zhao, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Acute Appendicitis or Appendiceal Diverticulitis? A Case Report and Systematic Literature Review
Stipe Vidović, Nenad Čekić, Ivica Šuvak, et al.
Clinics and Practice (2025) Vol. 15, Iss. 3, pp. 60-60
Open Access
Stipe Vidović, Nenad Čekić, Ivica Šuvak, et al.
Clinics and Practice (2025) Vol. 15, Iss. 3, pp. 60-60
Open 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
Jiaxin Li, Jiayin Ye, Yuan Luo, et al.
Abdominal Radiology (2025)
Closed Access
Appendicitis Diagnosis: Ensemble Machine Learning and Explainable Artificial Intelligence-Based Comprehensive Approach
Mohammed Gollapalli, Atta Rahman, Sheriff A. Kudos, et al.
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 9, pp. 108-108
Open Access | Times Cited: 3
Mohammed Gollapalli, Atta Rahman, Sheriff A. Kudos, et al.
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 9, pp. 108-108
Open Access | Times Cited: 3
Machine-learning based prediction of appendicitis for patients presenting with acute abdominal pain at the emergency department
Anoeska Schipper, Peter Belgers, Rory O’Connor, et al.
World Journal of Emergency Surgery (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 1
Anoeska Schipper, Peter Belgers, Rory O’Connor, et al.
World Journal of Emergency Surgery (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 1
Machine-learning based prediction of appendicitis for patients presenting with acute abdominal pain at the emergency department.
Anoeska Schipper, Peter Belgers, Rory O’Connor, et al.
Research Square (Research Square) (2024)
Closed Access
Anoeska Schipper, Peter Belgers, Rory O’Connor, et al.
Research Square (Research Square) (2024)
Closed Access
