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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:

Fractal features for automatic detection of dysarthria
Taylor Spangler, N. V. Vinodchandran, Ashok Samal, et al.
(2017), pp. 437-440
Closed Access | Times Cited: 21

Showing 21 citing articles:

Oral and Laryngeal Diadochokinesis Across the Life Span: A Scoping Review of Methods, Reference Data, and Clinical Applications
Raymond D. Kent, Yunjung Kim, Limei Chen
Journal of Speech Language and Hearing Research (2021) Vol. 65, Iss. 2, pp. 574-623
Closed Access | Times Cited: 44
Classification of ALS patients based on acoustic analysis of sustained vowel phonations
Maxim Vashkevich, Yuliya Rushkevich
Biomedical Signal Processing and Control (2020) Vol. 65, pp. 102350-102350
Open Access | Times Cited: 40
Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review
Huan Zhao, Junyi Cao, Junxiao Xie, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 14
Dysarthric-speech detection using transfer learning with convolutional neural networks
S. R. Mani Sekhar, Gaurav Kashyap, Akshay Bhansali, et al.
ICT Express (2021) Vol. 8, Iss. 1, pp. 61-64
Open Access | Times Cited: 24
A Digital Telehealth System to Compute Myasthenia Gravis Core Examination Metrics: Exploratory Cohort Study
Marc Garbey, Guillaume Joerger, Quentin Lesport, et al.
JMIR Neurotechnology (2023) Vol. 2, pp. e43387-e43387
Open Access | Times Cited: 8
Detection of Bulbar Involvement in Patients With Amyotrophic Lateral Sclerosis by Machine Learning Voice Analysis: Diagnostic Decision Support Development Study
Alberto Tena, F. Clariá, Francesc Solsona, et al.
JMIR Medical Informatics (2021) Vol. 9, Iss. 3, pp. e21331-e21331
Open Access | Times Cited: 17
Detecting Bulbar Involvement in Patients with Amyotrophic Lateral Sclerosis Based on Phonatory and Time-Frequency Features
Alberto Tena, F. Clariá, Francesc Solsona, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 1137-1137
Open Access | Times Cited: 12
COMPLEXITY-BASED ANALYSIS OF BRAINS’ SYNCHRONIZATION IN HUMAN–HUMAN INTERACTION
Mohamed Rasmi Ashfaq Ahamed, Mohammad Hossein Babini, NAJMEH PAKNIYAT, et al.
Fractals (2020) Vol. 28, Iss. 07, pp. 2050102-2050102
Closed Access | Times Cited: 13
Features extraction for the automatic detection of ALS disease from acoustic speech signals
Maxim Vashkevich, Elias Azarov, Alexander Petrovsky, et al.
(2018), pp. 321-326
Closed Access | Times Cited: 14
Application of Digital Tools and Artificial Intelligence to the Myasthenia Gravis Core Examination
Marc Garbey, Quentin Lesport, Helen Girma, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Application of digital tools and artificial intelligence in the Myasthenia Gravis Core Examination
Marc Garbey, Quentin Lesport, Helen Girma, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 1
Bulbar ALS Detection Based on Analysis of Voice Perturbation and Vibrato
Maxim Vashkevich, Alexander Petrovsky, Yuliya Rushkevich
(2019), pp. 267-272
Open Access | Times Cited: 11
Dysarthria Detection Using Convolutional Neural Network
Pratibha Dumane, Bilal Hungund, Satishkumar S. Chavan
Springer eBooks (2021), pp. 449-457
Closed Access | Times Cited: 9
A Mobile Application for Detection of Amyotrophic Lateral Sclerosis via Voice Analysis
Denis Likhachov, Maxim Vashkevich, Elias Azarov, et al.
Lecture notes in computer science (2021), pp. 372-383
Closed Access | Times Cited: 7
Detection of Amyotrophic Lateral Sclerosis (ALS) via Acoustic Analysis
Raquel Norel, Mary Pietrowicz, Carla Agurto, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2018)
Open Access | Times Cited: 7
Detection of Bulbar Dysfunction in ALS Patients Based on Running Speech Test
Maxim Vashkevich, Artyom Gvozdovich, Yuliya Rushkevich
Communications in computer and information science (2019), pp. 192-204
Closed Access | Times Cited: 6
Comparison of Lithuanian and Polish Consonant Phonemes Based on Acoustic Analysis – Preliminary Results
Gražina Korvel, Olga Kurasova, Bożena Kostek
Archives of Acoustics (2023)
Open Access | Times Cited: 2
Combined Method for Informative Feature Selection for Speech Pathology Detection
Denis Likhachov, Maxim Vashkevich, Nick A. Petrovsky, et al.
Doklady BGUIR (2023) Vol. 21, Iss. 4, pp. 110-117
Open Access | Times Cited: 1
Classification of Amyotrophic Lateral Sclerosis Patients using speech signals
Om Kurmi, Manasi Gyanchandani, Nilay Khare, et al.
(2023), pp. 172-177
Closed Access
Detection of Bulbar Involvement in Patients With Amyotrophic Lateral Sclerosis by Machine Learning Voice Analysis: Diagnostic Decision Support Development Study (Preprint)
Alberto Tena, F. Clariá, Francesc Solsona, et al.
(2020)
Open Access
A Digital Telehealth System to Compute Myasthenia Gravis Core Examination Metrics: Exploratory Cohort Study (Preprint)
Marc Garbey, Guillaume Joerger, Quentin Lesport, et al.
(2022)
Open Access
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