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:

The Evolution and Application of Artificial Intelligence in Rhinology: A State of the Art Review
Ameen Amanian, Austin Heffernan, Masaru Ishii, et al.
Otolaryngology (2022) Vol. 169, Iss. 1, pp. 21-30
Open Access | Times Cited: 16

Showing 16 citing articles:

International Consensus Statement on Allergy and Rhinology: Sinonasal Tumors
Edward C. Kuan, Eric Wang, Nithin D. Adappa, et al.
International Forum of Allergy & Rhinology (2023) Vol. 14, Iss. 2, pp. 149-608
Open Access | Times Cited: 56
Applications and challenges of neural networks in otolaryngology (Review)
Iulian-Alexandru Taciuc, Mihai Dumitru, Daniela Vrînceanu, et al.
Biomedical Reports (2024) Vol. 20, Iss. 6
Open Access | Times Cited: 20
Using Machine Learning Models to Diagnose Chronic Rhinosinusitis: Analysis of Pre-Treatment Patient-Generated Health Data to Predict Cardinal Symptoms and Sinonasal Inflammation
Arun M. Raghavan, Mohamed Aboueisha, Ion Prohnitchi, et al.
American Journal of Rhinology and Allergy (2025)
Closed Access | Times Cited: 1
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
Exploring the Role of Artificial Intelligence Chatbots in Preoperative Counseling for Head and Neck Cancer Surgery
Jason C. Lee, Chelsea S. Hamill, Yelizaveta Shnayder, et al.
The Laryngoscope (2023) Vol. 134, Iss. 6, pp. 2757-2761
Closed Access | Times Cited: 13
Artificial intelligence driven diagnostic model for detecting paranasal sinus opacification in computed tomography images: Development and evaluation
Anubhav Singh, Kamal Deep Joshi, Sachin Girdhar, et al.
Medical Journal Armed Forces India (2025)
Closed Access
NeuroNasal: Advanced AI-Driven Self-Supervised Learning Approach for Enhanced Sinonasal Pathology Detection
Nesrine Atitallah, Safa Ben Atitallah, Maha Driss, et al.
Sensors (2025) Vol. 25, Iss. 8, pp. 2369-2369
Open Access
Otolaryngologist perceptions of AI-based sinus CT interpretation
Conner J. Massey, Annapoorani Asokan, Caroline Tietbohl, et al.
American Journal of Otolaryngology (2023) Vol. 44, Iss. 5, pp. 103932-103932
Closed Access | Times Cited: 4
Artificial Intelligence in Otology, Rhinology, and Laryngology: A Narrative Review of Its Current and Evolving Picture
Ayushi Ghosh Moulic, Sagar S Gaurkar, Prasad Deshmukh
Cureus (2024)
Open Access | Times Cited: 1
Machine Learning Model Predicts Postoperative Outcomes in Chronic Rhinosinusitis With Nasal Polyps
Anda Gâta, Lajos Ráduly, Liviuța Budișan, et al.
Clinical Otolaryngology (2024) Vol. 49, Iss. 6, pp. 776-784
Open Access | Times Cited: 1
Las principales tecnologías de la era de la industria 5.0
Luis Pérez-Domínguez
Revista Ingenio (2024) Vol. 21, Iss. 1, pp. 60-70
Open Access
Artificial Intelligence in Temporal Bone Imaging: A Systematic Review
Dimitrios Spinos, Anastasios Martinos, Dioni‐Pinelopi Petsiou, et al.
The Laryngoscope (2024)
Closed Access
General context and relevant public datasets available for improving pathways in Paediatric Cancer applying Artificial Intelligence. A review
Gustavo Hernández-Peñaloza, Silvia Uribe, Francisco Moreno, et al.
EJC Paediatric Oncology (2024) Vol. 4, pp. 100196-100196
Closed Access
Healthcare Social Robots in the Age of Generative AI: Protocol for a Scoping Review (Preprint)
Paul Notger Lempe, Camille Guinemer, Daniel Fürstenau, et al.
JMIR Research Protocols (2024) Vol. 14, pp. e63017-e63017
Open Access
The Potential Role of Artificial Intelligence in Allergy and Rhinology: A Paradigm Shift
Tarun Kumar Suvvari, Aksharaa Gurubalasubramaniyan Iyer, Charmi Dedeepya Boddapalli
Ear Nose & Throat Journal (2023)
Open Access
Navigating the Ethical Landscape of Artificial Intelligent(Ai): A Syntesis Analysis across Diverse Disciplines
Mohd Ekram Alhafis Bin Hashim, Nor Hazlen Kamaruddin, Wan Azani Mustafa, et al.
(2023), pp. 268-274
Closed Access
Page 1

Scroll to top