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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 EEG-Based Parkinson’s Disease Detection Model Using Multiscale Convolutional Prototype Networks
Lina Qiu, Jianping Li, Liangquan Zhong, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-14
Closed Access | Times Cited: 10

Showing 10 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: 1
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
A Comparative Study of Machine Learning and Deep Learning Models for Automatic Parkinson’s Disease Detection from Electroencephalogram Signals
Swagota Bera, Zong Woo Geem, Young Im Cho, et al.
Diagnostics (2025) Vol. 15, Iss. 6, pp. 773-773
Open Access
Hierarchical feature extraction on functional brain networks for autism spectrum disorder identification with resting-state fMRI data
Yiqian Luo, Qiurong Chen, Fali Li, et al.
Neural Networks (2025) Vol. 188, pp. 107450-107450
Open Access
Unveiling Parkinson’s Disease Severity Using EEG-Driven Deep CNN Model
F. Ben Salah, Amira Echtioui, Yassine Ben Ayed
Communications in computer and information science (2025), pp. 72-85
Closed Access
AIM-Scan: AI-Enabled Mobile Healthcare Unit to Detect the Emotional State of Autistic Children
Sricheta Parui, Deborsi Basu
(2025), pp. 399-412
Closed Access
Enhanced feature vector reduction of S-transformed electroencephalography signal for optimal Parkinson’s disease detection
Melina Maria Afonso, Damodar Reddy Edla, Sridhar Chintala, et al.
Biomedical Signal Processing and Control (2025) Vol. 108, pp. 107922-107922
Closed Access
ParViT: A modified Vision Transformer architecture for Parkinson’s Disease identification using EEG signals
Sagnik De, Amaan Sayyad, Hani Kotian, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 2
Exploration of an intrinsically explainable self-attention based model for prototype generation on single-channel EEG sleep stage classification
Brenton Adey, Ahsan Habib, Chandan Karmakar
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Temporal Patterns of EEG Connectivity Unveil Parkinson's Disease Progression: Insights from Machine Learning Analysis
Caroline L. Alves, Loriz Francisco Sallum, Francisco A. Rodrigues, et al.
Research Square (Research Square) (2024)
Open Access
A Relevant Prototype Domain Gradient Projection Continual Learning Method for Cross-Subject P300 Brain-Computer Interfaces
Zhicong Wu, Honghua Cai, Yuewei Ling, et al.
Lecture notes in computer science (2024), pp. 398-411
Closed Access
A Novel Parameter-Free Attention-based Multiscale Convolution Prototype Networks for P300 Brain-computer Interface
Jiahang Wang, Fei Wang, Huanchang Yan, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 30, pp. 1-9
Closed Access
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