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:

Real-Time Patient Adaptivity for Freezing of Gait Classification Through Semi-Supervised Neural Networks
Val Mikos, Chun-Huat Heng, Arthur Tay, et al.
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (2017)
Closed Access | Times Cited: 15

Showing 15 citing articles:

Wearable-Sensor-Based Detection and Prediction of Freezing of Gait in Parkinson’s Disease: A Review
Scott Pardoel, Jonathan Kofman, Julie Nantel, et al.
Sensors (2019) Vol. 19, Iss. 23, pp. 5141-5141
Open Access | Times Cited: 158

Multimodal Gait Recognition for Neurodegenerative Diseases
Aite Zhao, Jianbo Li, Junyu Dong, et al.
IEEE Transactions on Cybernetics (2021) Vol. 52, Iss. 9, pp. 9439-9453
Open Access | Times Cited: 56

The advantages of artificial intelligence-based gait assessment in detecting, predicting, and managing Parkinson’s disease
Peng Wu, Biwei Cao, Zhendong Liang, et al.
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 17

A Wearable, Patient-Adaptive Freezing of Gait Detection System for Biofeedback Cueing in Parkinson's Disease
Val Mikos, Chun-Huat Heng, Arthur Tay, et al.
IEEE Transactions on Biomedical Circuits and Systems (2019) Vol. 13, Iss. 3, pp. 503-515
Closed Access | Times Cited: 51

Prediction of Freezing of Gait in Patients With Parkinson’s Disease by Identifying Impaired Gait Patterns
Yuqian Zhang, Weiwu Yan, Yifei Yao, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 3, pp. 591-600
Closed Access | Times Cited: 47

Detection and prediction of freezing of gait with wearable sensors in Parkinson’s disease
Wei Zhang, Hong Sun, Debin Huang, et al.
Neurological Sciences (2023) Vol. 45, Iss. 2, pp. 431-453
Closed Access | Times Cited: 14

Towards Real-Time Prediction of Freezing of Gait in Patients With Parkinson’s Disease: A Novel Deep One-Class Classifier
Nader Naghavi, Eric Wade
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 4, pp. 1726-1736
Open Access | Times Cited: 26

A Review of Machine Learning Network in Human Motion Biomechanics
Wan Shi Low, Chow Khuen Chan, Joon Huang Chuah, et al.
Journal of Grid Computing (2021) Vol. 20, Iss. 1
Closed Access | Times Cited: 14

The Detection of Freezing of Gait in Parkinson’s Disease Using Asymmetric Basis Function TV-ARMA Time–Frequency Spectral Estimation Method
Yuzhu Guo, Lipeng Wang, Yang Li, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 27, Iss. 10, pp. 2077-2086
Open Access | Times Cited: 15

An Efficient Automatic Gait Anomaly Detection Method Based on Semisupervised Clustering
Zhenlun Yang
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 12

Grouping successive freezing of gait episodes has neutral to detrimental effect on freeze detection and prediction in Parkinson’s disease
Scott Pardoel, Gaurav Shalin, Edward D. Lemaire, et al.
PLoS ONE (2021) Vol. 16, Iss. 10, pp. e0258544-e0258544
Open Access | Times Cited: 11

Smart Shoe Technology: Empowering Parkinson’s Patients with Enhanced Mobility and Confidence
K. Sumathi, G Keerthika, S Magidha, et al.
2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) (2024) Vol. 94, pp. 1-4
Closed Access

Multimodal Gait Recognition for Neurodegenerative Diseases
Aite Zhao, Jianbo Li, Junyu Dong, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 2

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