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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:

Detection and Classification of Early Stages of Parkinson’s Disease Through Wearable Sensors and Machine Learning
Aleksei Shcherbak, Ekaterina Kovalenko, Andrey Somov
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-9
Closed Access | Times Cited: 19

Showing 19 citing articles:

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: 8
Towards a digitally connected body for holistic and continuous health insight
Philipp Gutruf
Communications Materials (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 6
Efficient quantification of Parkinson’s disease severity using augmented time-series data
Hua Huo, Shujun Jiao, Dongfang Li, et al.
PLoS ONE (2025) Vol. 20, Iss. 4, pp. e0319826-e0319826
Open Access
Wearable-Sensor-Based Weakly Supervised Parkinson’s Disease Assessment with Data Augmentation
Peng Yue, Ziheng Li, Menghui Zhou, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1196-1196
Open Access | Times Cited: 3
AutoHealth: Advanced LLM-Empowered Wearable Personalized Medical Butler for Parkinson’s Disease Management
Luis Cardenas, Katherine Parajes, Ming Zhu, et al.
2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) (2024), pp. 0375-0379
Closed Access | Times Cited: 2
A Dynamic Prediction Framework for Urban Public Space Vitality: From Hypothesis to Algorithm and Verification
Yue Liu, Xiangmin Guo
Sustainability (2024) Vol. 16, Iss. 7, pp. 2846-2846
Open Access | Times Cited: 2
Exploiting Smartphone Voice Recording as a Digital Biomarker for Parkinson’s Disease Diagnosis
Tongyue He, Junxin Chen, Xu Xu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 2
IMNMAGN: Integrative Multimodal Approach for Enhanced Detection of Neurodegenerative Diseases Using Fusion of Multidomain Analysis With Graph Networks
R. Vijay Anand, T Shanmuga Priyan, Madala Guru Brahmam, et al.
IEEE Access (2024) Vol. 12, pp. 73095-73112
Open Access | Times Cited: 1
Convolutional neural network based detection of early stage Parkinson’s disease using the six minute walk test
Hyejin Choi, Changhong Youm, Hwayoung Park, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
FBG-based wearable sensors and devices in the healthcare field: A review
Xiaobo Song, Yingwei Fan, Xiaoying Tang
Optics & Laser Technology (2024) Vol. 181, pp. 111920-111920
Closed 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
Representative UPDRS Features of Single Wearable Sensor for Severity Classification of Parkinson’s Disease
Yuting Zhao, Xulong Wang, Xiyang Peng, et al.
Communications in computer and information science (2024), pp. 124-136
Closed Access
The Use of Artificial Intelligence and Wearable IMUs in Medicine: A Systematic Review (Preprint)
Ricardo Smits Serena, Florian Hinterwimmer, Rainer Burgkart, et al.
(2024)
Open Access
Convolutional neural network-based detection of early-stage Parkinson’s disease using the six-minute walk test
Hyejin Choi, Changhong Youm, Hwayoung Park, et al.
Research Square (Research Square) (2024)
Open Access
A Low-Cost Edge Computing Device for Real-Time Detection of Motor Symptoms in Neurodegenerative Diseases Using Machine Learning
Chiara Carissimo, G. Cerro, Klara Komici, et al.
2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (2024), pp. 1-6
Closed Access
Parkinson's Disease Detection Based on Vocal Biomarkers and Machine Learning Approach
Ayat Alrosan, Mahmoud Abdel‐Aty, Mohamed Hafez, et al.
2022 International Telecommunications Conference (ITC-Egypt) (2024), pp. 475-480
Closed Access
Early detection of Parkinson’s disease using deep NeuroEnhanceNet with smartphone walking recordings
Tongyue He, Junxin Chen, Xu Xu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 3603-3614
Open Access
The Use of Artificial Intelligence and Wearable IMUs in Medicine: A Systematic Review (Preprint)
Ricardo Smits Serena, Florian Hinterwimmer, Rainer Burgkart, et al.
JMIR mhealth and uhealth (2024)
Open Access
A Novel Energy-Based Composite Index for Assessing Motor State in Parkinson's Disease by Means of IMU-Based Digital Health Technology
Chiara Carissimo, G. Cerro, Gianfranco Miele, et al.
2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (2024), pp. 1-6
Closed Access
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