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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:

Deep Learning Application for Vocal Fold Disease Prediction Through Voice Recognition: Preliminary Development Study
Hao‐Chun Hu, Shyue‐Yih Chang, Chuen-Heng Wang, et al.
Journal of Medical Internet Research (2021) Vol. 23, Iss. 6, pp. e25247-e25247
Open Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

A Review of Fingerprint Sensors: Mechanism, Characteristics, and Applications
Yirong Yu, Qiming Niu, Xuyang Li, et al.
Micromachines (2023) Vol. 14, Iss. 6, pp. 1253-1253
Open Access | Times Cited: 21
A comparison of data augmentation methods in voice pathology detection
F. Javanmardi, Sudarsana Reddy Kadiri, Paavo Alku
Computer Speech & Language (2023) Vol. 83, pp. 101552-101552
Open Access | Times Cited: 19
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
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: 14
A machine learning approach for vocal fold segmentation and disorder classification based on ensemble method
S. M. Nuruzzaman Nobel, S M Masfequier Rahman Swapno, Md. Rajibul Islam, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Developing an Artificial Intelligence Tool to Predict Vocal Cord Pathology in Primary Care Settings
Evan C. Compton, Tim Cruz, Meri Andreassen, et al.
The Laryngoscope (2022) Vol. 133, Iss. 8, pp. 1952-1960
Closed Access | Times Cited: 20
Multitask Learning on Graph Convolutional Residual Neural Networks for Screening of Multitarget Anticancer Compounds
Thanh‐Hoang Nguyen‐Vo, T. T. Trang, Binh P. Nguyen
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 18, pp. 6957-6968
Closed Access | Times Cited: 4
Chinese Expert Consensus for Assessment of Vocal Function (2024): Guidelines of the Subspecialty Group of Voice, Society of Otorhinolaryngology Head and Neck Surgery, Chinese Medical Association; Subspecialty Group of Laryngopharyngology, Editorial Board of Chinese Journal of Otorhinolaryngology Head and Neck Surgery
Wen Xu, Peiyun Zhuang, Hui Yang, et al.
Journal of Voice (2025)
Open Access
Multimodal Interaction, Interfaces, and Communication: A Survey
Ηλίας Δρίτσας, Μαρία Τρίγκα, Christos Troussas, et al.
Multimodal Technologies and Interaction (2025) Vol. 9, Iss. 1, pp. 6-6
Open Access
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
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
Applications of Artificial Intelligence in Neurological Voice Disorders
Dongren Yao, Aki Koivu, Kristina Simonyan
World Journal of Otorhinolaryngology - Head and Neck Surgery (2025)
Open Access
A Novel Pathological Voice Identification Technique through Simulated Cochlear Implant Processing Systems
Rumana Islam, Esam Abdel‐Raheem, Mohammed Tarique
Applied Sciences (2022) Vol. 12, Iss. 5, pp. 2398-2398
Open Access | Times Cited: 18
Non-invasive way to diagnose dysphagia by training deep learning model with voice spectrograms
Heekyu Kim, Hae‐Yeon Park, DoGyeom Park, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105259-105259
Closed Access | Times Cited: 9
Survey of deep learning techniques for disease prediction based on omics data
Xindi Yu, Shusen Zhou, Hailin Zou, et al.
Human Gene (2022) Vol. 35, pp. 201140-201140
Closed Access | Times Cited: 13
Machine Learning Assessment of Spasmodic Dysphonia Based on Acoustical and Perceptual Parameters
Federico Calà, Lorenzo Frassineti, Claudia Manfredi, et al.
Bioengineering (2023) Vol. 10, Iss. 4, pp. 426-426
Open Access | Times Cited: 7
Voice disorder recognition using machine learning: a scoping review protocol
Rijul Gupta, Dhanshree R. Gunjawate, Duy Duong Nguyên, et al.
BMJ Open (2024) Vol. 14, Iss. 2, pp. e076998-e076998
Open Access | Times Cited: 2
Identifying bias in models that detect vocal fold paralysis from audio recordings using explainable machine learning and clinician ratings
Daniel M. Low, Vishwanatha M. Rao, Gregory W. Randolph, et al.
PLOS Digital Health (2024) Vol. 3, Iss. 5, pp. e0000516-e0000516
Open Access | Times Cited: 2
End‐to‐end deep learning classification of vocal pathology using stacked vowels
George S. Liu, Jordan M. Hodges, Jingzhi Yu, et al.
Laryngoscope Investigative Otolaryngology (2023) Vol. 8, Iss. 5, pp. 1312-1318
Open Access | Times Cited: 6
An Artificial Intelligence-Based Algorithm for the Assessment of Substitution Voicing
Virgilijus Uloza, Rytis Maskeliūnas, Kipras Pribuišis, et al.
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 9748-9748
Open Access | Times Cited: 8
Deep learning in voice analysis for diagnosing vocal cord pathologies: a systematic review
Idit Tessler, Adi Primov‐Fever, Shelly Soffer, et al.
European Archives of Oto-Rhino-Laryngology (2023) Vol. 281, Iss. 2, pp. 863-871
Closed Access | Times Cited: 4
Evaluating the Diagnostic Potential of Connected Speech for Benign Laryngeal Disease Using Deep Learning Analysis
Jeong Hoon Lee, Jungirl Seok, Jae Yeong Kim, et al.
Journal of Voice (2024)
Closed Access | Times Cited: 1
Diagnosing Spasmodic Dysphonia with the Power of AI
Nardjes Merzougui, Mohamed Cherif Amara Korba, Fethi Amara
(2024), pp. 1042-1046
Closed Access | Times Cited: 1
Classification of laryngeal diseases including laryngeal cancer, benign mucosal disease, and vocal cord paralysis by artificial intelligence using voice analysis
Hyun-Bum Kim, Jaemin Song, Seho Park, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Harnessing machine learning in diagnosing complex hoarseness cases
Ariel Roitman, Yiftach Edelstain, Chen Katzir, et al.
American Journal of Otolaryngology (2024) Vol. 46, Iss. 1, pp. 104533-104533
Closed Access | Times Cited: 1
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