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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:

Applications of Artificial Intelligence to Office Laryngoscopy: A Scoping Review
Peter Yao, Moon Usman, Yu H. Chen, et al.
The Laryngoscope (2021) Vol. 132, Iss. 10, pp. 1993-2016
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

An introduction to machine learning and generative artificial intelligence for otolaryngologists—head and neck surgeons: a narrative review
Isaac L. Alter, Karly Chan, Jérôme R. Lechien, et al.
European Archives of Oto-Rhino-Laryngology (2024) Vol. 281, Iss. 5, pp. 2723-2731
Closed Access | Times Cited: 14
Artificial Intelligence and Laryngeal Cancer: From Screening to Prognosis: A State of the Art Review
Yaël Bensoussan, Erik B. Vanstrum, Michael M. Johns, et al.
Otolaryngology (2022) Vol. 168, Iss. 3, pp. 319-329
Closed Access | Times Cited: 28
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
Videomics of the Upper Aero-Digestive Tract Cancer: Deep Learning Applied to White Light and Narrow Band Imaging for Automatic Segmentation of Endoscopic Images
Muhammad Adeel Azam, Claudio Sampieri, Alessandro Ioppi, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 26
Advances in Image‐Based Artificial Intelligence in Otorhinolaryngology–Head and Neck Surgery: A Systematic Review
Qingwu Wu, Xinyue Wang, Guixian Liang, et al.
Otolaryngology (2023) Vol. 169, Iss. 5, pp. 1132-1142
Closed Access | Times Cited: 14
Interpretable Computer Vision to Detect and Classify Structural Laryngeal Lesions in Digital Flexible Laryngoscopic Images
Andrés M. Bur, Tianxiao Zhang, Xiangyu Chen, et al.
Otolaryngology (2023) Vol. 169, Iss. 6, pp. 1564-1572
Closed Access | Times Cited: 14
Vocal cord leukoplakia classification using deep learning models in white light and narrow band imaging endoscopy images
Zhenzhen You, Botao Han, Zhenghao Shi, et al.
Head & Neck (2023) Vol. 45, Iss. 12, pp. 3129-3145
Closed Access | Times Cited: 14
Localization and quantification of glottal gaps on deep learning segmentation of vocal folds
Mette Pedersen, Christian F. Larsen, Bertram Madsen, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11
A Deep‐Learning Model for Multi‐class Audio Classification of Vocal Fold Pathologies in Office Stroboscopy
Yeo Eun Kim, Maria Dobko, Haomiao Li, et al.
The Laryngoscope (2025)
Closed Access
Comparison of Framewise Video Classification in Laryngoscopies
Ole Felber, Louis Bellmann, Philipp Breitfeld, et al.
Informatik aktuell (2025), pp. 19-24
Closed Access
Advancing laryngology through artificial intelligence: a comprehensive review of implementation frameworks and strategies
Rachel B. Kutler, Liang He, Ross W. Green, et al.
Current Opinion in Otolaryngology & Head & Neck Surgery (2025)
Closed Access
Global utilization of artificial intelligence in the diagnosis and management of voice disorders over the past five years
Amna Suleman, Amy L. Rutt
Eye & ENT Research (2025)
Open Access
The Bridge2AI-voice application: initial feasibility study of voice data acquisition through mobile health
Elijah Moothedan, Micah Boyer, Stephanie Watts, et al.
Frontiers in Digital Health (2025) Vol. 7
Open Access
Laryngeal Cancer Screening During Flexible Video Laryngoscopy Using Large Computer Vision Models
Ishwarya S. Mamidi, Michael E. Dunham, Lacey Adkins, et al.
Annals of Otology Rhinology & Laryngology (2024) Vol. 133, Iss. 8, pp. 720-728
Closed Access | Times Cited: 2
Re-Training of Convolutional Neural Networks for Glottis Segmentation in Endoscopic High-Speed Videos
Michael Döllinger, Tobias Schraut, Lea Henrich, et al.
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 9791-9791
Open Access | Times Cited: 11
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
Standardization, Collaboration, and Education in the Implementation of Artificial Intelligence in Otolaryngology
Emily Evangelista, Yaël Bensoussan
Otolaryngologic Clinics of North America (2024) Vol. 57, Iss. 5, pp. 897-908
Closed Access | Times Cited: 2
AI Detection of Glottic Neoplasm Using Voice Signals, Demographics, and Structured Medical Records
Chi‐Te Wang, Tsai‐Min Chen, Nien‐Ting Lee, et al.
The Laryngoscope (2024)
Closed Access | Times Cited: 1
NBI Classification Optimization With Morphological Characteristics in Vocal Fold Leukoplakia
Yi Fang, Changjiang Li, M Chen, et al.
Ear Nose & Throat Journal (2024)
Open Access | Times Cited: 1
Application of artificial intelligence in laryngeal lesions: a systematic review and meta-analysis
Alejandro R. Marrero‐Gonzalez, Tanner J. Diemer, Shaun A. Nguyen, et al.
European Archives of Oto-Rhino-Laryngology (2024)
Open Access | Times Cited: 1
Nyquist Plot Parametrization for Quantitative Analysis of Vibration of the Vocal Folds
Tomás Arias‐Vergara, Michael Döllinger, Tobias Schraut, et al.
Journal of Voice (2023)
Closed Access | Times Cited: 2
A Novel Framework of Manifold Learning Cascade-Clustering for the Informative Frame Selection
Lei Zhang, Linjie Wu, Liangzhuang Wei, et al.
Diagnostics (2023) Vol. 13, Iss. 6, pp. 1151-1151
Open Access | Times Cited: 2
Visual-perceptive assessment of glottic characteristics of vocal nodules by means of high-speed videoendoscopy
Gustavo Polacow Korn, Ana Cristina Côrtes Gama, Ualisson Nogueira do Nascimento
Brazilian Journal of Otorhinolaryngology (2023) Vol. 89, Iss. 4, pp. 101275-101275
Open Access | Times Cited: 2
Current Practices in Voice Data Collection and Limitations to Voice AI Research: A National Survey
Emily Evangelista, Rohan Kale, Desiree McCutcheon, et al.
The Laryngoscope (2023) Vol. 134, Iss. 3, pp. 1333-1339
Closed Access | Times Cited: 2
[Application and development of voice analysis and endoscopic technology combined with artificial intelligence in the diagnosis and treatment of throat disease].
Qi Song, Xiaoming Li
PubMed (2022) Vol. 36, Iss. 8, pp. 647-650
Closed Access | Times Cited: 3
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