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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:

Prediction of Gait Freezing in Parkinsonian Patients: A Binary Classification Augmented With Time Series Prediction
Arash Arami, Antonios Poulakakis-Daktylidis, Yen Tai, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 27, Iss. 9, pp. 1909-1919
Closed Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Internet of Things Technologies and Machine Learning Methods for Parkinson’s Disease Diagnosis, Monitoring and Management: A Systematic Review
Κωνσταντίνα-Μαρία Γιαννακοπούλου, Ioanna Roussaki, Konstantinos Demestichas
Sensors (2022) Vol. 22, Iss. 5, pp. 1799-1799
Open Access | Times Cited: 69
Prediction of Freezing of Gait in Parkinson’s Disease Using Wearables and Machine Learning
Luigi Borzì, Ivan Mazzetta, Alessandro Zampogna, et al.
Sensors (2021) Vol. 21, Iss. 2, pp. 614-614
Open Access | Times Cited: 94
Prediction and detection of freezing of gait in Parkinson’s disease from plantar pressure data using long short-term memory neural-networks
Gaurav Shalin, Scott Pardoel, Edward D. Lemaire, et al.
Journal of NeuroEngineering and Rehabilitation (2021) Vol. 18, Iss. 1
Open Access | Times Cited: 66
Replay Attack Detection in Smart Cities Using Deep Learning
Asmaa Elsaeidy, Nishant Jagannath, Adrian Garrido Sanchis, et al.
IEEE Access (2020) Vol. 8, pp. 137825-137837
Open Access | Times Cited: 58
The Role of Neural Network for the Detection of Parkinson’s Disease: A Scoping Review
Mahmood Alzubaidi, Uzair Shah, Haider Dhia Zubaydi, et al.
Healthcare (2021) Vol. 9, Iss. 6, pp. 740-740
Open Access | Times Cited: 49
Early Detection of Freezing of Gait during Walking Using Inertial Measurement Unit and Plantar Pressure Distribution Data
Scott Pardoel, Gaurav Shalin, Julie Nantel, et al.
Sensors (2021) Vol. 21, Iss. 6, pp. 2246-2246
Open Access | Times Cited: 46
Recent trends in wearable device used to detect freezing of gait and falls in people with Parkinson’s disease: A systematic review
Tinghuai Huang, Meng Li, Jian‐Wei Huang
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 20
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 Multimodal Model-Fusion Approach for Improved Prediction of Freezing of Gait in Parkinson’s Disease
Rishabh Bajpai, Suyash Khare, Deepak Joshi
IEEE Sensors Journal (2023) Vol. 23, Iss. 14, pp. 16168-16175
Open Access | Times Cited: 13
Insights into Parkinson’s Disease-Related Freezing of Gait Detection and Prediction Approaches: A Meta Analysis
Hagar Elbatanouny, Natasa Kleanthous, Hayssam Dahrouj, et al.
Sensors (2024) Vol. 24, Iss. 12, pp. 3959-3959
Open Access | Times Cited: 5
Frailty Level Classification of the Community Elderly Using Microsoft Kinect-Based Skeleton Pose: A Machine Learning Approach
Ghasem Akbari, Mohammad Nikkhoo, Lizhen Wang, et al.
Sensors (2021) Vol. 21, Iss. 12, pp. 4017-4017
Open Access | Times Cited: 29
Objective measurement versus clinician-based assessment for Parkinson’s disease
Andrea Guerra, Valentina D’Onofrio, Florinda Ferreri, et al.
Expert Review of Neurotherapeutics (2023) Vol. 23, Iss. 8, pp. 689-702
Closed Access | Times Cited: 11
An automatic crop yield prediction framework designed with two-stage classifiers: a meta-heuristic approach
Venkata Rama Rao Kolipaka, Anupama Namburu
Multimedia Tools and Applications (2023) Vol. 83, Iss. 10, pp. 28969-28992
Closed Access | Times Cited: 11
Predicting freezing of gait in patients with Parkinson's disease by combination of Manually-Selected and deep learning features
Hua Sun, Qiang Ye, Yi Xia
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105639-105639
Closed Access | Times Cited: 10
Prediction of Freezing of Gait in Parkinson’s Disease from Foot Plantar-Pressure Arrays using a Convolutional Neural Network
Gaurav Shalin, Scott Pardoel, Julie Nantel, et al.
(2020), pp. 244-247
Closed Access | Times Cited: 26
Prediction of Freezing of Gait in Parkinson's Disease Using Unilateral and Bilateral Plantar-Pressure Data
Scott Pardoel, Julie Nantel, Jonathan Kofman, et al.
Frontiers in Neurology (2022) Vol. 13
Open Access | Times Cited: 14
Artificial intelligence applications and robotic systems in Parkinson's disease (Review)
Lăcrămioara Perju‐Dumbravă, Maria Bârsan, Daniel-Corneliu Leucuța, et al.
Experimental and Therapeutic Medicine (2021) Vol. 23, Iss. 2
Open Access | Times Cited: 18
Investigating gait-responsive somatosensory cueing from a wearable device to improve walking in Parkinson’s disease
Dongli Li, Andre Hallack, Sophie Gwilym, et al.
BioMedical Engineering OnLine (2023) Vol. 22, Iss. 1
Open Access | Times Cited: 7
Synergetic gait prediction and compliant control of SEA-driven knee exoskeleton for gait rehabilitation
Haojie Liu, Chang Zhu, Zude Zhou, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 12
Open Access | Times Cited: 2
Prediction of Freezing of Gait in Parkinson’s disease based on multi-channel time-series neural network
Boyan Wang, Xuegang Hu, Rongjun Ge, et al.
Artificial Intelligence in Medicine (2024) Vol. 154, pp. 102932-102932
Closed Access | Times Cited: 2
Deep learning-based detection of affected body parts in Parkinson’s disease and freezing of gait using time-series imaging
Hwayoung Park, Sungtae Shin, Changhong Youm, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Modelling and identification of characteristic kinematic features preceding freezing of gait with convolutional neural networks and layer-wise relevance propagation
Benjamin Filtjens, Pieter Ginis, Alice Nieuwboer, et al.
BMC Medical Informatics and Decision Making (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 16
Statistical Database of Human Motion Recognition Using Wearable IoT—A Review
Eghbal Foroughi Asl, Saeed Ebadollahi, Reza Vahidnia, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 14, pp. 15253-15304
Open Access | Times Cited: 6
A Survey of Embedded Machine Learning for Smart and Sustainable Healthcare Applications
Sizhe An, Yiğit Tuncel, Toygun Başaklar, et al.
(2023), pp. 127-150
Closed Access | Times Cited: 6
Prediction of freezing of gait based on self-supervised pretraining via contrastive learning
Yi Xia, Hua Sun, Baifu Zhang, et al.
Biomedical Signal Processing and Control (2023) Vol. 89, pp. 105765-105765
Closed Access | Times Cited: 6
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