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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:

Detecting Parkinson’s disease from sustained phonation and speech signals
Evaldas Vaičiukynas, Antanas Verikas, Adas Gelžinis, et al.
PLoS ONE (2017) Vol. 12, Iss. 10, pp. e0185613-e0185613
Open Access | Times Cited: 93

Showing 1-25 of 93 citing articles:

Machine Learning for the Diagnosis of Parkinson's Disease: A Review of Literature
Jie Mei, Christian Desrosiers, Johannes Frasnelli
Frontiers in Aging Neuroscience (2021) Vol. 13
Open Access | Times Cited: 268
Detecting Parkinson’s disease with sustained phonation and speech signals using machine learning techniques
Jefferson S. Almeida, Pedro P. Rebouças Filho, Tiago Carneiro, et al.
Pattern Recognition Letters (2019) Vol. 125, pp. 55-62
Open Access | Times Cited: 213
Two-layer fuzzy multiple random forest for speech emotion recognition in human-robot interaction
Luefeng Chen, Wanjuan Su, Feng Yu, et al.
Information Sciences (2019) Vol. 509, pp. 150-163
Closed Access | Times Cited: 160
A Deep Learning Based Method for Parkinson’s Disease Detection Using Dynamic Features of Speech
Changqin Quan, Kang Ren, Zhiwei Luo
IEEE Access (2021) Vol. 9, pp. 10239-10252
Open Access | Times Cited: 115
Automatic detection of Parkinson’s disease based on acoustic analysis of speech
Diogo Braga, Ana Madureira, Luís Coelho, et al.
Engineering Applications of Artificial Intelligence (2018) Vol. 77, pp. 148-158
Closed Access | Times Cited: 138
Parkinson disease prediction using intrinsic mode function based features from speech signal
Biswajit Karan, Sitanshu Sekhar Sahu, Kartik Mahto
Journal of Applied Biomedicine (2019) Vol. 40, Iss. 1, pp. 249-264
Closed Access | Times Cited: 128
Convolutional neural network ensemble for Parkinson's disease detection from voice recordings
Máté Hireš, Matej Gazda, Peter Drotár, et al.
Computers in Biology and Medicine (2021) Vol. 141, pp. 105021-105021
Closed Access | Times Cited: 87
The Detection of Parkinson's Disease From Speech Using Voice Source Information
N. P. Narendra, Björn W. Schuller, Paavo Alku
IEEE/ACM Transactions on Audio Speech and Language Processing (2021) Vol. 29, pp. 1925-1936
Open Access | Times Cited: 78
Voice in Parkinson's Disease: A Machine Learning Study
Antonio Suppa, Giovanni Costantini, Francesco Asci, et al.
Frontiers in Neurology (2022) Vol. 13
Open Access | Times Cited: 66
End-to-end deep learning approach for Parkinson’s disease detection from speech signals
Changqin Quan, Kang Ren, Zhiwei Luo, et al.
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 2, pp. 556-574
Open Access | Times Cited: 59
Computerized analysis of speech and voice for Parkinson's disease: A systematic review
Quoc Cuong Ngo, Mohammod Abdul Motin, Nemuel Daniel Pah, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107133-107133
Closed Access | Times Cited: 57
Automated methods for diagnosis of Parkinson’s disease and predicting severity level
Zainab Ayaz, Saeeda Naz, Naila Habib Khan, et al.
Neural Computing and Applications (2022)
Closed Access | Times Cited: 45
Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review
Jun Zhang, Jingyue Wu, Yiyi Qiu, et al.
Computers in Biology and Medicine (2023) Vol. 153, pp. 106517-106517
Open Access | Times Cited: 33
Machine learning- and statistical-based voice analysis of Parkinson’s disease patients: A survey
Federica Amato, Giovanni Saggio, Valerio Cesarini, et al.
Expert Systems with Applications (2023) Vol. 219, pp. 119651-119651
Closed Access | Times Cited: 29
Clinical Decision Support Using Speech Signal Analysis: Systematic Scoping Review of Neurological Disorders
Upeka De Silva, Samaneh Madanian, Sharon Olsen, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e63004-e63004
Open Access | Times Cited: 1
Complexity Measures of Voice Recordings as a Discriminative Tool for Parkinson’s Disease
Rekha Viswanathan, Sridhar P. Arjunan, Adrian Bingham, et al.
Biosensors (2019) Vol. 10, Iss. 1, pp. 1-1
Open Access | Times Cited: 66
Parkinson disease detection using energy direction features based on EMD from voice signal
Tao Zhang, Yajuan Zhang, Hao Sun, et al.
Journal of Applied Biomedicine (2020) Vol. 41, Iss. 1, pp. 127-141
Closed Access | Times Cited: 58
Vocal Feature Extraction-Based Artificial Intelligent Model for Parkinson’s Disease Detection
Muntasir Hoq, Mohammed Nazim Uddin, Seung-Bo Park
Diagnostics (2021) Vol. 11, Iss. 6, pp. 1076-1076
Open Access | Times Cited: 53
An algorithm for Parkinson’s disease speech classification based on isolated words analysis
Federica Amato, Luigi Borzì, Gabriella Olmo, et al.
Health Information Science and Systems (2021) Vol. 9, Iss. 1
Open Access | Times Cited: 42
MMDD-Ensemble: A Multimodal Data–Driven Ensemble Approach for Parkinson's Disease Detection
Liaqat Ali, Zhiquan He, Wenming Cao, et al.
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 42
Phonemes based detection of parkinson’s disease for telehealth applications
Nemuel Daniel Pah, Mohammod Abdul Motin, Dinesh Kumar
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 32
Comparative Study of Wearable Sensors, Video, and Handwriting to Detect Parkinson’s Disease
Aleksandr Talitckii, Ekaterina Kovalenko, Aleksei Shcherbak, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Closed Access | Times Cited: 30
CNN-Based Identification of Parkinson’s Disease from Continuous Speech in Noisy Environments
Paul Faragó, Sebastian-Aurelian Ștefănigă, Claudia-Georgiana Cordoș, et al.
Bioengineering (2023) Vol. 10, Iss. 5, pp. 531-531
Open Access | Times Cited: 17
Classification, Prediction, and Monitoring of Parkinson’s disease using Computer Assisted Technologies: A Comparative Analysis
Jinee Goyal, Padmavati Khandnor, Trilok Chand Aseri
Engineering Applications of Artificial Intelligence (2020) Vol. 96, pp. 103955-103955
Closed Access | Times Cited: 42
Parkinson’s Disease Diagnosis in Cepstral Domain Using MFCC and Dimensionality Reduction with SVM Classifier
Atiqur Rahman, Sanam Shahla Rizvi, Irfan Ullah Khan, et al.
Mobile Information Systems (2021) Vol. 2021, pp. 1-10
Open Access | Times Cited: 40
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