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:

Gait Influence Diagrams in Parkinson’s Disease
Peng Ren, Esin Karahan, Chao Chen, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2016) Vol. 25, Iss. 8, pp. 1257-1267
Closed Access | Times Cited: 15

Showing 15 citing articles:

Wearable Devices for Gait Analysis in Intelligent Healthcare
Xin Liu, Chen Zhao, Bin Zheng, et al.
Frontiers in Computer Science (2021) Vol. 3
Open Access | Times Cited: 58

A Dual-Modal Attention-Enhanced Deep Learning Network for Quantification of Parkinson’s Disease Characteristics
Yi Xia, Zhiming Yao, Qiang Ye, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 28, Iss. 1, pp. 42-51
Closed Access | Times Cited: 66

Role of Wearable Sensors with Machine Learning Approaches in Gait Analysis for Parkinson's Disease Assessment: A Review
Aishwarya Balakrishnan, Jeevan Medikonda, Pramod K. Namboothiri, et al.
Engineered Science (2022)
Open Access | Times Cited: 36

Gait Nonlinear Patterns Related to Parkinson’s Disease and Age
Salim Lahmiri
IEEE Transactions on Instrumentation and Measurement (2018) Vol. 68, Iss. 7, pp. 2545-2551
Closed Access | Times Cited: 40

Static-Dynamic Temporal Networks for Parkinson’s Disease Detection and Severity Prediction
Chenhui Dong, Ying Chen, Zhan Huan, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 2205-2213
Open Access | Times Cited: 9

A dual-branch model for diagnosis of Parkinson’s disease based on the independent and joint features of the left and right gait
Xu Liu, Wang Li, Zheng Liu, et al.
Applied Intelligence (2021) Vol. 51, Iss. 10, pp. 7221-7232
Closed Access | Times Cited: 18

PI-Sole: A Low-Cost Solution for Gait Monitoring Using Off-The-Shelf Piezoelectric Sensors and IMU
Vivek Chandel, Shivam Singhal, Varsha Sharma, et al.
(2019), pp. 3290-3296
Closed Access | Times Cited: 15

A convolutional neural network Cascade for plantar pressure images registration
Yi Xia, Yanlin Li, Lina Xun, et al.
Gait & Posture (2018) Vol. 68, pp. 403-408
Closed Access | Times Cited: 8

Network physiology of ‘fight or flight’ response in facial superficial blood vessels
Amin Derakhshan, Mohammad Mikaeili, Ali Motie Nasrabadi, et al.
Physiological Measurement (2018) Vol. 40, Iss. 1, pp. 014002-014002
Closed Access | Times Cited: 6

Mediolateral stability index as a biomarker for Parkinson’s disease progression: A graph connectivity based approach
Oishee Mazumder, Rahul Gavas, Aniruddha Sinha
(2019), pp. 5063-5067
Closed Access | Times Cited: 4

Parkinson’s Disease and Gait Asymmetry
Fábio Augusto Barbieri, Aline Prieto Silveira-Ciola, Tiago Penedo, et al.
(2024), pp. 233-260
Closed Access

Design and Application of a Smart Diagnostic System for Parkinson’s Patients using Machine Learning
Asma Channa, Attiya Baqai, Rahime Ceylan
International Journal of Advanced Computer Science and Applications (2019) Vol. 10, Iss. 6
Open Access | Times Cited: 2

Usage of VGRF in Biometrics: Application on Healthy and Parkinson Gaits
Rami Alkhatib, Mohamad O. Diab, Omar Itani, et al.
(2018), pp. 1-4
Closed Access | Times Cited: 1

Diagnosis of Parkinson Disorder through Speech Data
C R Chethan
International Journal for Research in Applied Science and Engineering Technology (2020) Vol. 8, Iss. 9, pp. 337-341
Open Access | Times Cited: 1

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