
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:
Assessing optimal methods for transferring machine learning models to low-volume and imbalanced clinical datasets: experiences from predicting outcomes of Danish trauma patients
Andreas Skov Millarch, Alexander Bonde, Mikkel Bonde, et al.
Frontiers in Digital Health (2023) Vol. 5
Open Access | Times Cited: 4
Andreas Skov Millarch, Alexander Bonde, Mikkel Bonde, et al.
Frontiers in Digital Health (2023) Vol. 5
Open Access | Times Cited: 4
Showing 4 citing articles:
Prehospital triage of trauma patients: predicting major surgery using artificial intelligence as decision support
Andreas Skov Millarch, Fredrik Folke, Søren Steemann Rudolph, et al.
British journal of surgery (2025) Vol. 112, Iss. 4
Closed Access
Andreas Skov Millarch, Fredrik Folke, Søren Steemann Rudolph, et al.
British journal of surgery (2025) Vol. 112, Iss. 4
Closed Access
Convolutional Neural Network-Based ECG Signal Classification Model: A Study on Addressing Class Imbalance and Enhancing Model Interpretability
Guanjun Wang, Shuwen Zheng, Xuejun Yang, et al.
(2024)
Open Access | Times Cited: 1
Guanjun Wang, Shuwen Zheng, Xuejun Yang, et al.
(2024)
Open Access | Times Cited: 1
Research on Predictive Auxiliary Diagnosis Method for Gastric Cancer Based on Non-Invasive Indicator Detection
Xia Zhang, Mao Zhang, Gang Wei, et al.
Applied Sciences (2024) Vol. 14, Iss. 16, pp. 6858-6858
Open Access
Xia Zhang, Mao Zhang, Gang Wei, et al.
Applied Sciences (2024) Vol. 14, Iss. 16, pp. 6858-6858
Open Access
Assessing the value of deep neural networks for postoperative complication prediction in pancreaticoduodenectomy patients
Mikkel Bonde, Alexander Bonde, Haytham M.A. Kaafarani, et al.
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0316402-e0316402
Open Access
Mikkel Bonde, Alexander Bonde, Haytham M.A. Kaafarani, et al.
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0316402-e0316402
Open Access