Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Comparison of convolutional neural networks for classification of vocal fold nodules from high-speed video images
Christian F. Larsen, Mette Pedersen
European Archives of Oto-Rhino-Laryngology (2022) Vol. 280, Iss. 5, pp. 2365-2371
Closed Access | Times Cited: 11

Showing 11 citing articles:

The Use of Deep Learning Software in the Detection of Voice Disorders: A Systematic Review
Joshua Barlow, Zara Sragi, Gabriel Rivera‐Rivera, et al.
Otolaryngology (2024) Vol. 170, Iss. 6, pp. 1531-1543
Open Access | Times Cited: 7
Comparison of Deep Learning Models for Voice Disorder Classification Using Kymographic Images
B Panchami, S. Pravin Kumar
Journal of Voice (2025)
Closed Access
Vocal performance evaluation of the intelligent note recognition method based on deep learning
Daniel T. Chang
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Convolutional neural network-based vocal cord tumor classification technique for home-based self-prescreening purpose
Gun Ho Kim, Young Jun Hwang, Hongje Lee, et al.
BioMedical Engineering OnLine (2023) Vol. 22, Iss. 1
Open Access | Times Cited: 9
Transforming ENT Healthcare: Advancements and Implications of Artificial Intelligence
Ayushmaan Pandey, Jagdeep Kaur, Darwin Kaushal
Indian Journal of Otolaryngology and Head & Neck Surgery (2024) Vol. 76, Iss. 5, pp. 4986-4996
Closed Access
Diagnosis of benign laryngeal tumors using neural network
A I Kryukov, P A Sudarev, С Г Романенко, et al.
Russian Bulletin of Otorhinolaryngology (2024) Vol. 89, Iss. 3, pp. 24-24
Closed Access
Application of Deep Learning Models for Vocal Cords Detection in Laryngoscopic Imagery
Jan Vrba, Jakub Steinbach, Matouš Cejnek, et al.
Procedia Computer Science (2024) Vol. 246, pp. 5007-5016
Open Access
A non-local dual-stream fusion network for laryngoscope recognition
Ran Wei, Yan Liang, Lei Geng, et al.
American Journal of Otolaryngology (2024) Vol. 46, Iss. 1, pp. 104565-104565
Open Access
Extent and Effect of Covering Laryngeal Structures with Synthetic Laryngeal Mucus via Two Different Administration Techniques
Marion Semmler, Sarina Lasar, Franziska Kremer, et al.
Journal of Voice (2023)
Closed Access | Times Cited: 1
CONVOLUTIONAL NEURAL NETWORK-BASED MULTI-REGION SINGLE INSPECTION TECHNIQUE FOR AT-HOME, SELF-PRESCREENING OF ORAL/LARYNGEAL TUMORS
Young Jun Hwang, Gun Ho Kim, Hongje Lee, et al.
Journal of Mechanics in Medicine and Biology (2023) Vol. 24, Iss. 05
Closed Access
Discussion, Possibilities, and Limitations
Mette Pedersen
Springer eBooks (2023), pp. 117-137
Closed Access
Normal Development of Voice
Mette Pedersen
Springer eBooks (2023)
Closed Access
Page 1

Scroll to top