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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:

Videomics: bringing deep learning to diagnostic endoscopy
Alberto Paderno, F. Christopher Holsinger, Cesare Piazza
Current Opinion in Otolaryngology & Head & Neck Surgery (2021) Vol. 29, Iss. 2, pp. 143-148
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives
Nian‐Nian Zhong, Hanqi Wang, Xinyue Huang, et al.
Seminars in Cancer Biology (2023) Vol. 95, pp. 52-74
Closed Access | Times Cited: 40
Artificial Intelligence for Upper Aerodigestive Tract Endoscopy and Laryngoscopy: A Guide for Physicians and State‐of‐the‐Art Review
Claudio Sampieri, Chiara Baldini, Muhammad Adeel Azam, et al.
Otolaryngology (2023) Vol. 169, Iss. 4, pp. 811-829
Closed Access | Times Cited: 24
Voice as an AI Biomarker of Health—Introducing Audiomics
Yaël Bensoussan, Olivier Elemento, Anaïs Rameau
JAMA Otolaryngology–Head & Neck Surgery (2024) Vol. 150, Iss. 4, pp. 283-283
Closed Access | Times Cited: 8
Deep Learning for Automatic Segmentation of Oral and Oropharyngeal Cancer Using Narrow Band Imaging: Preliminary Experience in a Clinical Perspective
Alberto Paderno, Cesare Piazza, Francesca Del Bon, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 49
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
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: 27
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
Computer Vision and Videomics in Otolaryngology–Head and Neck Surgery
Alberto Paderno, Nikita Bedi, Anita Rau, et al.
Otolaryngologic Clinics of North America (2024) Vol. 57, Iss. 5, pp. 703-718
Closed Access | Times Cited: 4
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
Automated Technical Skill and Performance Assessment in Otology and Neurotology: A Scoping Review
Obinna I. Nwosu, Mitsuki Ota, Deborah Goss, et al.
Otology & Neurotology (2025) Vol. 46, Iss. 3, pp. 248-255
Closed Access
Artificial intelligence in clinical endoscopy: Insights in the field of videomics
Alberto Paderno, Francesca Gennarini, Alessandra Sordi, et al.
Frontiers in Surgery (2022) Vol. 9
Open Access | Times Cited: 17
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
μRALP and Beyond: Micro-Technologies and Systems for Robot-Assisted Endoscopic Laser Microsurgery
Leonardo S. Mattos, Alperen Acemoğlu, André Geraldes, et al.
Frontiers in Robotics and AI (2021) Vol. 8
Open Access | Times Cited: 19
Using deep learning to identify the recurrent laryngeal nerve during thyroidectomy
Julia Gong, F. Christopher Holsinger, Julia E. Noel, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 18
Is the exoscope ready to replace the operative microscope in transoral surgery?
Alberto Paderno, Alberto Deganello, Davide Lancini, et al.
Current Opinion in Otolaryngology & Head & Neck Surgery (2022) Vol. 30, Iss. 2, pp. 79-86
Closed Access | Times Cited: 13
Sociodemographic reporting in videomics research: a review of practices in otolaryngology - head and neck surgery
Yeo Eun Kim, Aisha Serpedin, Preethi Periyakoil, et al.
European Archives of Oto-Rhino-Laryngology (2024) Vol. 281, Iss. 11, pp. 6047-6056
Closed Access | Times Cited: 2
Instance segmentation of upper aerodigestive tract cancer: site-specific outcomes
Alberto Paderno, Francesca Pia Villani, Milena Fior, et al.
Acta Otorhinolaryngologica Italica (2023) Vol. 43, Iss. 4, pp. 283-290
Open Access | Times Cited: 5
Multi‐Instance Learning for Vocal Fold Leukoplakia Diagnosis Using White Light and Narrow‐Band Imaging: A Multicenter Study
Cheng‐Wei Tie, Deyang Li, Ji‐Qing Zhu, et al.
The Laryngoscope (2024) Vol. 134, Iss. 10, pp. 4321-4328
Closed Access | Times Cited: 1
Contact Endoscopy – Narrow Band Imaging (CE-NBI) data set for laryngeal lesion assessment
Nazila Esmaeili, Nikolaos Davaris, Axel Boese, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 4
Computer Vision Foundation Models in Endoscopy: Proof of Concept in Oropharyngeal Cancer
Alberto Paderno, Anita Rau, Nikita Bedi, et al.
The Laryngoscope (2024)
Closed Access | Times Cited: 1
Artificial Intelligence in Head and Neck Surgery
Jamie R. Oliver, Rahul Alapati, Jason T. Lee, et al.
Otolaryngologic Clinics of North America (2024) Vol. 57, Iss. 5, pp. 803-820
Closed Access | Times Cited: 1
Deep learning to predict esophageal variceal bleeding based on endoscopic images
Hong Yu, Qianqian Yu, Feng Mo, et al.
Journal of International Medical Research (2023) Vol. 51, Iss. 10
Open Access | Times Cited: 3
Deep Learning Techniques and Imaging in Otorhinolaryngology—A State-of-the-Art Review
Christos Tsilivigkos, Michail Athanasopoulos, Riccardo Di Micco, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 22, pp. 6973-6973
Open Access | Times Cited: 3
A shallow extraction of texture features for classification of abnormal video endoscopy frames
Hussam Ali, Muhammad Imran Sharif, Mussarat Yasmin, et al.
Biomedical Signal Processing and Control (2022) Vol. 77, pp. 103733-103733
Closed Access | Times Cited: 5
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
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