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:

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

Showing 6 citing articles:

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

A Review and Classification of Amyotrophic Lateral Sclerosis with Speech as a Biomarker
Shaik Mulla Shabber, Mohan Bansal, Kodali Radha
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023), pp. 1-7
Closed Access | Times Cited: 7

Machine Learning-Assisted Diagnosis of Speech Disorders: A Review of Dysarthric Speech
Shaik Mulla Shabber, Mohan Bansal, Kodali Radha
(2023), pp. 1-6
Closed Access | Times Cited: 7

A systematic review and narrative analysis of digital speech biomarkers in Motor Neuron Disease
M. Bowden, Emily Beswick, Johnny Tam, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 4

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

Voice Pathology Detection based on Analysis of Modulation Spectrum in Critical Bands
Maksim Vashkevich, И. С. Азаров
SPIIRAS Proceedings (2020) Vol. 19, Iss. 2, pp. 249-276
Open Access | Times Cited: 1

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