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:

Design and Validation of a Deep Learning Model for Renal Stone Detection and Segmentation on Kidney–Ureter–Bladder Images
Zih-Hao Huang, Yiyang Liu, Wei-Juei Wu, et al.
Bioengineering (2023) Vol. 10, Iss. 8, pp. 970-970
Open Access | Times Cited: 5

Showing 5 citing articles:

An Efficient and Robust Approach Using Inductive Transfer-Based Ensemble Deep Neural Networks for Kidney Stone Detection
Jyotismita Chaki, Ayşegül Uçar
IEEE Access (2024) Vol. 12, pp. 32894-32910
Open Access | Times Cited: 3

Stone decision engine accurately predicts stone removal and treatment complications for shock wave lithotripsy and laser ureterorenoscopy patients
Peter A. Noble, Blake D. Hamilton, Glenn S. Gerber
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0301812-e0301812
Open Access | Times Cited: 3

Explainable Multi-Modal Deep Learning With Cross-Modal Attention for Diagnosis of Dyssynergic Defecation Using Abdominal X-Ray Images and Symptom Questionnaire
Sirapob Sangnark, Pakkapon Rattanachaisit, Tanisa Patcharatrakul, et al.
IEEE Access (2024) Vol. 12, pp. 78132-78147
Open Access

A Comparative Study of Feature Selection Methods for ML-Based Kidney Stone Prediction
Suman MH, Kailash C. Patidar
(2024), pp. 568-574
Closed Access

UrologiQ: AI-based accurate detection, measurement and reporting of stones in CT-KUB scans
Abhijith Yenikekaluva, Syed Furqan Azeez, Apeksha Sakegaonkar, et al.
Urolithiasis (2024) Vol. 52, Iss. 1
Closed Access

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