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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:

Empirical Wavelet Transform Based Features for Classification of Parkinson’s Disease Severity
Qi Wei Oung, M. Hariharan, Shafriza Nisha Basah, et al.
Journal of Medical Systems (2017) Vol. 42, Iss. 2
Closed Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

Parkinson's disease: Cause factors, measurable indicators, and early diagnosis
Shreya Bhat, U. Rajendra Acharya, Yuki Hagiwara, et al.
Computers in Biology and Medicine (2018) Vol. 102, pp. 234-241
Closed Access | Times Cited: 171
Artificial intelligence for assisting diagnostics and assessment of Parkinson’s disease—A review
Minja Belić, Vladislava Bobić, Milica Badža Atanasijević, et al.
Clinical Neurology and Neurosurgery (2019) Vol. 184, pp. 105442-105442
Closed Access | Times Cited: 167
Co-evolution of machine learning and digital technologies to improve monitoring of Parkinson’s disease motor symptoms
Anirudha S. Chandrabhatla, I. Jonathan Pomeraniec, Alexander Ksendzovsky
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 76
Internet of Things Technologies and Machine Learning Methods for Parkinson’s Disease Diagnosis, Monitoring and Management: A Systematic Review
Κωνσταντίνα-Μαρία Γιαννακοπούλου, Ioanna Roussaki, Konstantinos Demestichas
Sensors (2022) Vol. 22, Iss. 5, pp. 1799-1799
Open Access | Times Cited: 69
Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson’s disease: A systematic review
Luis Sigcha, Luigi Borzì, Federica Amato, et al.
Expert Systems with Applications (2023) Vol. 229, pp. 120541-120541
Open Access | Times Cited: 53
Artificial Intelligence Techniques for Automated Diagnosis of Neurological Disorders
U. Raghavendra, U. Rajendra Acharya, Hojjat Adeli
European Neurology (2019) Vol. 82, Iss. 1-3, pp. 41-64
Open Access | Times Cited: 131
Supervised machine learning based gait classification system for early detection and stage classification of Parkinson’s disease
E. Balaji, D. Brindha, Balakrishnan Ramasamy
Applied Soft Computing (2020) Vol. 94, pp. 106494-106494
Closed Access | Times Cited: 91
Application of Deep Learning Models for Automated Identification of Parkinson’s Disease: A Review (2011–2021)
Hui Wen Loh, Wanrong Hong, Chui Ping Ooi, et al.
Sensors (2021) Vol. 21, Iss. 21, pp. 7034-7034
Open Access | Times Cited: 80
Recent Advancements in Empirical Wavelet Transform and Its Applications
Wei Liu, Wei Chen
IEEE Access (2019) Vol. 7, pp. 103770-103780
Open Access | Times Cited: 78
Detection of Parkinson’s disease using automated tunable Q wavelet transform technique with EEG signals
Smith K. Khare, Varun Bajaj, U. Rajendra Acharya
Journal of Applied Biomedicine (2021) Vol. 41, Iss. 2, pp. 679-689
Closed Access | Times Cited: 71
Classification of normal and depressed EEG signals based on centered correntropy of rhythms in empirical wavelet transform domain
Hesam Akbari, Muhammad Tariq Sadiq, Ateeq Ur Rehman
Health Information Science and Systems (2021) Vol. 9, Iss. 1
Open Access | Times Cited: 69
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
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
Empirical wavelet transform based automated alcoholism detecting using EEG signal features
Arti Anuragi, Dilip Singh Sisodia
Biomedical Signal Processing and Control (2019) Vol. 57, pp. 101777-101777
Closed Access | Times Cited: 71
Non-negative matrix factorization-based time-frequency feature extraction of voice signal for Parkinson's disease prediction
Biswajit Karan, Sitanshu Sekhar Sahu, Juan Rafael Orozco‐Arroyave, et al.
Computer Speech & Language (2021) Vol. 69, pp. 101216-101216
Closed Access | Times Cited: 50
A Hybrid Approach for Parkinson’s Disease diagnosis with Resonance and Time-Frequency based features from Speech signals
Jinee Goyal, Padmavati Khandnor, Trilok Chand Aseri
Expert Systems with Applications (2021) Vol. 182, pp. 115283-115283
Closed Access | Times Cited: 42
Applied Machine Learning Techniques to Diagnose Voice-Affecting Conditions and Disorders: Systematic Literature Review
Alper Idrisoglu, Ana Luiza Dallora, Peter Anderberg, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e46105-e46105
Open Access | Times Cited: 21
The advantages of artificial intelligence-based gait assessment in detecting, predicting, and managing Parkinson’s disease
Peng Wu, Biwei Cao, Zhendong Liang, et al.
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 17
Detection of Speech Impairments Using Cepstrum, Auditory Spectrogram and Wavelet Time Scattering Domain Features
Andrius Lauraitis, Rytis Maskeliūnas, Robertas Damaševičius, et al.
IEEE Access (2020) Vol. 8, pp. 96162-96172
Open Access | Times Cited: 49
Computational intelligence techniques for medical diagnosis and prognosis: Problems and current developments
Afzal Hussain Shahid, Maheshwari Prasad Singh
Journal of Applied Biomedicine (2019) Vol. 39, Iss. 3, pp. 638-672
Closed Access | Times Cited: 46
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
Tunable Q wavelet transform based emotion classification in Parkinson’s disease using Electroencephalography
M. Murugappan, Waleed B. Alshuaib, Ali K. Bourisly, et al.
PLoS ONE (2020) Vol. 15, Iss. 11, pp. e0242014-e0242014
Open Access | Times Cited: 39
Novel automated PD detection system using aspirin pattern with EEG signals
Prabal Datta Barua, Şengül Doğan, Türker Tuncer, et al.
Computers in Biology and Medicine (2021) Vol. 137, pp. 104841-104841
Closed Access | Times Cited: 34
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
The Biomedical Applications of Artificial Intelligence: An Overview of Decades of Research
Sweet Naskar, Suraj Sharma, Ketousetuo Kuotsu, et al.
Journal of drug targeting (2025), pp. 1-85
Closed Access
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