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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:

A novel diagnosis system for Parkinson’s disease using complex-valued artificial neural network with k-means clustering feature weighting method
Hüseyin Gürüler
Neural Computing and Applications (2016) Vol. 28, Iss. 7, pp. 1657-1666
Closed Access | Times Cited: 109

Showing 1-25 of 109 citing articles:

A comparative analysis of speech signal processing algorithms for Parkinson’s disease classification and the use of the tunable Q-factor wavelet transform
C. Okan Sakar, Görkem Serbes, Ayşegül Gündüz, et al.
Applied Soft Computing (2018) Vol. 74, pp. 255-263
Closed Access | Times Cited: 440
Machine-Learning-Based Disease Diagnosis: A Comprehensive Review
Md Manjurul Ahsan, Shahana Akter Luna, Zahed Siddique
Healthcare (2022) Vol. 10, Iss. 3, pp. 541-541
Open Access | Times Cited: 314
Deep Learning-Based Parkinson’s Disease Classification Using Vocal Feature Sets
Hakan Gündüz
IEEE Access (2019) Vol. 7, pp. 115540-115551
Open Access | Times Cited: 260
A decision support system for automated identification of sleep stages from single-channel EEG signals
Ahnaf Rashik Hassan, Abdülhamit Subaşı
Knowledge-Based Systems (2017) Vol. 128, pp. 115-124
Closed Access | Times Cited: 211
Automated Detection of Parkinson’s Disease Based on Multiple Types of Sustained Phonations Using Linear Discriminant Analysis and Genetically Optimized Neural Network
Liaqat Ali, Ce Zhu, Zhonghao Zhang, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2019) Vol. 7, pp. 1-10
Open Access | Times Cited: 177
Complex-Valued Neural Networks: A Comprehensive Survey
ChiYan Lee, Hideyuki Hasegawa, Shangce Gao
IEEE/CAA Journal of Automatica Sinica (2022) Vol. 9, Iss. 8, pp. 1406-1426
Closed Access | Times Cited: 103
Parkinson’s disease detection based on features refinement through L1 regularized SVM and deep neural network
Liaqat Ali, Ashir Javeed, Adeeb Noor, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 19
Early diagnosis of Parkinson’s disease from multiple voice recordings by simultaneous sample and feature selection
Liaqat Ali, Ce Zhu, Mingyi Zhou, et al.
Expert Systems with Applications (2019) Vol. 137, pp. 22-28
Closed Access | Times Cited: 136
Analyzing the effectiveness of vocal features in early telediagnosis of Parkinson's disease
Betül Erdoğdu Şakar, Görkem Serbes, C. Okan Sakar
PLoS ONE (2017) Vol. 12, Iss. 8, pp. e0182428-e0182428
Open Access | Times Cited: 126
Detection of Parkinson's disease by Shifted One Dimensional Local Binary Patterns from gait
Ömer Faruk Ertuğrul, Yılmaz Kaya, Ramazan Teki̇n, et al.
Expert Systems with Applications (2016) Vol. 56, pp. 156-163
Closed Access | Times Cited: 110
Automatic Parkinson disease detection at early stages as a pre-diagnosis tool by using classifiers and a small set of vocal features
Gabriel Solana-Lavalle, Juan-Carlos Galán-Hernández, Roberto Rosas-Romero
Journal of Applied Biomedicine (2020) Vol. 40, Iss. 1, pp. 505-516
Closed Access | Times Cited: 95
Optimized ANFIS Model Using Hybrid Metaheuristic Algorithms for Parkinson’s Disease Prediction in IoT Environment
Ibrahim M. El‐Hasnony, Sherif Barakat, Reham R. Mostafa
IEEE Access (2020) Vol. 8, pp. 119252-119270
Open Access | Times Cited: 83
A novel sample and feature dependent ensemble approach for Parkinson’s disease detection
Liaqat Ali, Chinmay Chakraborty, Zhiquan He, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 22, pp. 15997-16010
Open Access | Times Cited: 42
MicroRNA-135b alleviates MPP+-mediated Parkinson’s disease in in vitro model through suppressing FoxO1-induced NLRP3 inflammasome and pyroptosis
Rong Zeng, Dixian Luo, Haipeng Li, et al.
Journal of Clinical Neuroscience (2019) Vol. 65, pp. 125-133
Closed Access | Times Cited: 71
Deep Feature Extraction From the Vocal Vectors Using Sparse Autoencoders for Parkinson’s Classification
Yanhao Xiong, Yaohua Lu
IEEE Access (2020) Vol. 8, pp. 27821-27830
Open Access | Times Cited: 60
EEG feature fusion for motor imagery: A new robust framework towards stroke patients rehabilitation
Noor Kamal Al-Qazzaz, Zaid Abdi Alkareem Alyasseri, Karrar Hameed Abdulkareem, et al.
Computers in Biology and Medicine (2021) Vol. 137, pp. 104799-104799
Closed Access | Times Cited: 54
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
Evaluation of train and test performance of machine learning algorithms and Parkinson diagnosis with statistical measurements
Emre Avuçlu, Abdullah Elen
Medical & Biological Engineering & Computing (2020) Vol. 58, Iss. 11, pp. 2775-2788
Closed Access | Times Cited: 50
Analysis of voice as an assisting tool for detection of Parkinson's disease and its subsequent clinical interpretation
Gabriel Solana-Lavalle, Roberto Rosas-Romero
Biomedical Signal Processing and Control (2021) Vol. 66, pp. 102415-102415
Open Access | Times Cited: 45
Feature weighting methods: A review
Iratxe Niño-Adan, Diana Manjarrés, Itziar Landa-Torres, et al.
Expert Systems with Applications (2021) Vol. 184, pp. 115424-115424
Closed Access | Times Cited: 44
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
Automatic Parkinson’s disease detection based on the combination of long-term acoustic features and Mel frequency cepstral coefficients (MFCC)
Sara Hawi, Jana Alhozami, Raneem AlQahtani, et al.
Biomedical Signal Processing and Control (2022) Vol. 78, pp. 104013-104013
Closed Access | Times Cited: 29
Has machine learning over-promised in healthcare?
Wenbo Ge, Christian J. Lueck, Hanna Suominen, et al.
Artificial Intelligence in Medicine (2023) Vol. 139, pp. 102524-102524
Open Access | Times Cited: 16
Parkinson disease prediction using machine learning-based features from speech signal
Linlin Yuan, Yao Liu, Hsuan–Ming Feng
Service Oriented Computing and Applications (2023) Vol. 18, Iss. 1, pp. 101-107
Closed Access | Times Cited: 16
Hybrid Disease Diagnosis Using Multiobjective Optimization with Evolutionary Parameter Optimization
Madhusudana Rao Nalluri, K. Kannan, Manjul Manisha, et al.
Journal of Healthcare Engineering (2017) Vol. 2017, pp. 1-27
Open Access | Times Cited: 60
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