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 decision support system for automated diagnosis of Parkinson’s disease from EEG using FAWT and entropy features
Parikha Chawla, Shashi B. Rana, Hardeep Kaur, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104116-104116
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Analyzing entropy features in time-series data for pattern recognition in neurological conditions
Yushan Huang, Yuchen Zhao, Alexander Capstick, et al.
Artificial Intelligence in Medicine (2024) Vol. 150, pp. 102821-102821
Open Access | Times Cited: 8

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: 7

Deep-learning detection of mild cognitive impairment from sleep electroencephalography for patients with Parkinson’s disease
Madan Parajuli, Amy W. Amara, Mohamed Shaban
PLoS ONE (2023) Vol. 18, Iss. 8, pp. e0286506-e0286506
Open Access | Times Cited: 16

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: 13

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: 3

Automated EEG Pathology Detection Based on Significant Feature Extraction and Selection
Yunning Zhong, Hong-yu Wei, Lifei Chen, et al.
Mathematics (2023) Vol. 11, Iss. 7, pp. 1619-1619
Open Access | Times Cited: 7

Automated Parkinson's Disease Detection: A Review of Techniques, Datasets, Modalities, and Open Challenges
Sheerin Zadoo, Yashwant Singh, Pradeep Kumar Singh
International Journal on Smart Sensing and Intelligent Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 2

Smart urban planning: Intelligent cognitive analysis of healthcare data in cloud-based IoT
Zhifu Gong, Jingyi Ji, Pengyuan Tong, et al.
Computers & Electrical Engineering (2023) Vol. 110, pp. 108878-108878
Closed Access | Times Cited: 5

Computer-aided diagnosis of autism spectrum disorder from EEG signals using deep learning with FAWT and multiscale permutation entropy features
Parikha Chawla, Shashi B. Rana, Hardeep Kaur, et al.
Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine (2022) Vol. 237, Iss. 2, pp. 282-294
Closed Access | Times Cited: 8

Diagnosis of autism spectrum disorder using EEMD and multiscale fluctuation based dispersion entropy with Bayesian optimized light GBM
Parikha Chawla, Shashi B. Rana, Hardeep Kaur, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 24, pp. 65341-65362
Closed Access | Times Cited: 1

Discrete learning-based intelligent methodology for heart disease diagnosis
Mehdi Khashei, Negar Bakhtiarvand
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104700-104700
Closed Access | Times Cited: 3

DAAR: Drift Adaption and Alternatives Ranking approach for interpretable clinical decision support systems
R Kavya, Avantika Kala, Jabez Christopher, et al.
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104793-104793
Closed Access | Times Cited: 3

A new fractional fuzzy dispersion entropy and its application in muscle fatigue detection
Baohua Hu, Yong Wang, Jingsong Mu
Mathematical Biosciences & Engineering (2023) Vol. 21, Iss. 1, pp. 144-169
Open Access | Times Cited: 2

A novel feature extraction method based on TQWT and instantaneous energy variation for Parkinson’s disease detection
Tao Zhang, Jing Tian, Zaifa Xue, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 105087-105087
Closed Access | Times Cited: 2

Artificial intelligence in diagnosis of neural disorders using biosignals and imaging
Abdülhamit Subaşı, Tuba Nur Subasi, Öznur Özaltın
Elsevier eBooks (2024), pp. 523-560
Closed Access

Review of Brain-Computer Interface Applications in Neurological Disorders
Ali Sami, Khosro Rezaee, Mojtaba Ansari, et al.
Algorithms for intelligent systems (2024), pp. 391-407
Closed Access

Automatic Detection of Parkinson’s Disease using EEG Signals: A Machine Learning Approach
Kavita Bhatt, N. Jayanthi, Manjeet Kumar
(2024), pp. 1-6
Closed Access

Research Analysis on Current Advances in Parkinson’s Disease Detection Using Signal Processing and Machine Learning-Based Techniques
Kshitij Goel, Neetu Sood, Indu Saini
Lecture notes in networks and systems (2024), pp. 133-144
Closed Access

Spindle Detection Based on Elastic Time Window and Spatial Pyramid Pooling
Yiting Ou, Fei Wang, Bai Feng, et al.
Journal of Integrative Neuroscience (2024) Vol. 23, Iss. 7
Open Access

Skip-AttSeqNet: Leveraging skip connection and attention-driven Seq2seq model to enhance eye movement event detection in Parkinson’s disease
Xin Wang, Lizhou Fan, Haiyun Li, et al.
Biomedical Signal Processing and Control (2024) Vol. 99, pp. 106862-106862
Closed Access

A Machine Learning Based Decision Support System for Healthcare Triage Applications
Yi Chen Ong, Sim Ee Kee, Koh Kiong Chai, et al.
Intelligent systems reference library (2024), pp. 237-256
Closed 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

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