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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:

Machine learning for stuttering identification: Review, challenges and future directions
Shakeel A. Sheikh, Md Sahidullah, Fabrice Hirsch, et al.
Neurocomputing (2022) Vol. 514, pp. 385-402
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Advancing Stuttering Detection via Data Augmentation, Class-Balanced Loss and Multi-Contextual Deep Learning
Shakeel A. Sheikh, Md Sahidullah, Fabrice Hirsch, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 5, pp. 2553-2564
Open Access | Times Cited: 14
Augmented Datasheets for Speech Datasets and Ethical Decision-Making
Orestis Papakyriakopoulos, Anna Seo Gyeong Choi, William Thong, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 881-904
Open Access | Times Cited: 12
Classification of stuttering – The ComParE challenge and beyond
Sebastian P. Bayerl, Maurice Gerczuk, Anton Batliner, et al.
Computer Speech & Language (2023) Vol. 81, pp. 101519-101519
Closed Access | Times Cited: 7
The recognition of speech defects using convolutional neural network
Olha Pronina, Olena Piatykop
CTE Workshop Proceedings (2023) Vol. 10, pp. 153-166
Open Access | Times Cited: 7
Rediscovering Automatic Detection of Stuttering and Its Subclasses through Machine Learning—The Impact of Changing Deep Model Architecture and Amount of Data in the Training Set
P. Filipowicz, Bożena Kostek
Applied Sciences (2023) Vol. 13, Iss. 10, pp. 6192-6192
Open Access | Times Cited: 5
Automatic Speech Disfluency Detection Using wav2vec2.0 for Different Languages with Variable Lengths
Jiajun Liu, Aishan Wumaier, Dongping Wei, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7579-7579
Open Access | Times Cited: 4
Deep learning and machine learning methods for patients with language and speech disorders
Behçet Öznacar, Dilan Kalaycı Alas
Elsevier eBooks (2024), pp. 149-164
Closed Access | Times Cited: 1
A CNN-Based Automated Stuttering Identification System
Yash Prabhu, Naeem Seliya
(2022), pp. 1601-1605
Closed Access | Times Cited: 6
TranStutter: A Convolution-Free Transformer-Based Deep Learning Method to Classify Stuttered Speech Using 2D Mel-Spectrogram Visualization and Attention-Based Feature Representation
Krishna Basak, Nilamadhab Mishra, Hsien-Tsung Chang
Sensors (2023) Vol. 23, Iss. 19, pp. 8033-8033
Open Access | Times Cited: 3
Computational Intelligence-Based Stuttering Detection: A Systematic Review
Raghad Alnashwan, Noura Alhakbani, Abeer Al-Nafjan, et al.
Diagnostics (2023) Vol. 13, Iss. 23, pp. 3537-3537
Open Access | Times Cited: 3
Automatic Temporal Analysis of Speech: A Quick and Objective Pipeline for the Assessment of Overt Stuttering
Vishruta Yawatkar, Ho Ming Chow, Evan Usler
(2023)
Open Access | Times Cited: 2
ASTER: Automatic Speech Recognition System Accessibility Testing for Stutterers
Yi Liu, Yuekang Li, Gelei Deng, et al.
2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE) (2023), pp. 510-521
Open Access | Times Cited: 2
Comparison of performance of automatic recognizers for stutters in speech trained with event or interval markers
Liam Barrett, Kevin Tang, Peter Howell
Frontiers in Psychology (2024) Vol. 15
Open Access
Classification of Speech Arrests and Speech Impairments during Awake Craniotomy: a multi-databases analysis
Ilias Maoudj, Atsushi Kuwano, Céline Panheleux, et al.
Research Square (Research Square) (2024)
Open Access
Classification of Speech Arrests and Speech Impairments during Awake Craniotomy: a multi-databases analysis
Ilias Maoudj, Atsushi Kuwano, Céline Panheleux, et al.
Research Square (Research Square) (2024)
Open Access
Towards Inclusive Voice User Interfaces: A Systematic Review of Voice Technology Usability for Users with Communication Disabilities
Kimberly R. Lin
Communications in computer and information science (2024), pp. 75-85
Closed Access
Aprendizado de máquina no apoio à transcrição e classificação da fala gaguejada: uma revisão sistemática da literatura
ROBERTA TOLEDO DE ALMEIDA, Damires Yluska Souza, Luciana Pereira Oliveira, et al.
(2024), pp. 400-411
Open Access
Enhancing Stuttering Detection: A Syllable-Level Stutter Dataset
Vamshiraghusimha Narasinga, Hina Fathima, Kowshik Sai Motepalli, et al.
(2024), pp. 1-5
Closed Access
A Machine Learning-Enhanced IoT Wearable Device for Monitoring and Providing Feedback on Stuttering
Hussain Suttarwala, Ritesh Kumar, Madhavi L. Deorankar, et al.
(2024), pp. 134-141
Closed Access
Classification of speech arrests and speech impairments during awake craniotomy: a multi-databases analysis
Ilias Maoudj, Atsushi Kuwano, Céline Panheleux, et al.
International Journal of Computer Assisted Radiology and Surgery (2024)
Closed Access
CNN-based automatic classification of stuttering: Detection of repetitions and prolongations in stuttered speech
Jin Park, Chang Gyun Lee
Phonetics and Speech Sciences (2024) Vol. 16, Iss. 4, pp. 63-72
Open Access
An Integrated Usage of Bidirectional LSTM and Computer-based Cognitive Attention to Categorize Speech Stutters
Krishna Basak, Vijay K. Sharma, Sarangh Ramesh Kv, et al.
(2023), pp. 981-985
Closed Access | Times Cited: 1
Acoustic analysis in stuttering: a machine-learning study
Francesco Asci, Luca Marsili, Antonio Suppa, et al.
Frontiers in Neurology (2023) Vol. 14
Open Access | Times Cited: 1
AI-based stuttering automatic classification method: Using a convolutional neural network*
Jin Park, Chang Gyun Lee
Phonetics and Speech Sciences (2023) Vol. 15, Iss. 4, pp. 71-80
Open Access | Times Cited: 1
Desafios e oportunidades na integração do ambiente clínico e digital para apoio ao diagnóstico da gagueira
ROBERTA TOLEDO DE ALMEIDA, Damires Yluska Souza Fernandes, Luciana Pereira Oliveira, et al.
Computação Brasil. (2023), Iss. 51, pp. 37-41
Open Access | Times Cited: 1
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