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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:

A novel feature extraction method using chemosensory EEG for Parkinson's disease classification
Begüm Kara Gülay, Neslihan Demirel, Alper Vahaplar, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104147-104147
Closed Access | Times Cited: 17

Showing 17 citing articles:

Significance of gender, brain region and EEG band complexity analysis for Parkinson’s disease classification using recurrence plots and machine learning algorithms
Divya Sasidharan, V. Sowmya, E. A. Gopalakrishnan
Physical and Engineering Sciences in Medicine (2025)
Closed Access | Times Cited: 2
Advancing biomedical engineering: Leveraging Hjorth features for electroencephalography signal analysis
Wissam H. Alawee, Ali Basem, Luttfi A. Al-Haddad
Journal of Electrical Bioimpedance (2023) Vol. 14, Iss. 1, pp. 66-72
Open Access | Times Cited: 16
Fractal dimensions and machine learning for detection of Parkinson’s disease in resting-state electroencephalography
Utkarsh Lal, Arjun Vinayak Chikkankod, Luca Longo
Neural Computing and Applications (2024) Vol. 36, Iss. 15, pp. 8257-8280
Open Access | Times Cited: 4
BGWO-Based Classification of Parkinson's Disease via MEG Signals
Zahraa Awad Ghani, Firas Sabar Miften
Communications in computer and information science (2025), pp. 72-86
Closed Access
Parkinson’s disease diagnosis using deep learning model by analyzing the channels of electroencephalography signals from substansia niagra and ventral tegmental area regions of human brain
Kaushal Kumar, Rajib Ghosh
International Journal of Information Technology (2025)
Closed Access
Temporal electroencephalography features unveiled via olfactory stimulus as biomarkers for mild Alzheimer’s disease
Bilal Orkan Olcay, Murat Pehlivan, Bilge Karaçalı
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107566-107566
Closed Access
A Novel Fusion Framework Combining Graph Embedding Class-Based Convolutional Recurrent Attention Network with Brown Bear Optimization Algorithm for EEG-Based Parkinson’s Disease Recognition
N Shirisha, Baranitharan Kannan, Padmanaban Kuppan, et al.
Journal of Molecular Neuroscience (2025) Vol. 75, Iss. 1
Closed Access
Using chemosensory-induced EEG signals to identify patients with de novo Parkinson’s disease
Bilal Orkan Olcay, Fatih Onay, Güliz Akın Öztürk, et al.
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105438-105438
Closed Access | Times Cited: 6
Analysis of microstate features for Parkinson's disease based on reliability validation
Qingfang Guo, Shuo Liu, Lei Wang, et al.
Journal of Neuroscience Methods (2024) Vol. 406, pp. 110115-110115
Closed Access | Times Cited: 1
Multi-Scale Feature and Multi-Channel Selection toward Parkinson’s Disease Diagnosis with EEG
Haoyu Wu, Jun Qi, Erick Purwanto, et al.
Sensors (2024) Vol. 24, Iss. 14, pp. 4634-4634
Open Access | Times Cited: 1
Parkinson disease prediction using improved crayfish optimization based hybrid deep learning
A. Malathi, R. Ramalakshmi, Vaibhav Gandhi, et al.
Technology and Health Care (2024)
Closed Access | Times Cited: 1
A Review on the Phenomenon of Synchronization in EEG Signals of Humans and its Application in Detection of Neurological Disorders
Mohd Suhaib Kidwai, Mohd. Maroof Siddiqui
Biomedical & Pharmacology Journal (2024) Vol. 17, Iss. 4, pp. 2147-2157
Open Access
Fractal Dimensions and Machine Learning for Detection of Parkinson’s Disease in Resting-State EEG
Utkarsh Lal, Arjun Vinayak Chikkankod, Luca Longo
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Comprehensive EEG Signal Feature Extraction for Neurological Disorder Diagnosis: Focus on Alzheimer's, Parkinson's, and Seizure Disorders
K. Nanthini, D. Sivabalaselvamani, MadhanKumar M.C, et al.
International Research Journal of Multidisciplinary Technovation (2024), pp. 80-93
Open Access
A multi-modal Parkinson’s disease diagnosis system from EEG signals and online handwritten tasks using grey wolf optimization based deep learning model
Kaushal Kumar, Rajib Ghosh
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 106946-106946
Closed Access
Shallow Learning Versus Deep Learning in Biomedical Applications
Mithat Öner, Ümit Şentürk, Kemal Polat
(2024), pp. 131-156
Closed Access
Development of Healthcare Model Using AR-DVAE with Mayfly-MLP-BPN for Parkinson's Disease Detection
G N Keshava Murthy, Piyush Kumar Pareek, T N Manjunath, et al.
(2023), pp. 1-7
Closed Access
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