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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 Freezing of Gait in Parkinson’s Disease Using Statistical Inference and Lower–Limb Acceleration Data
Nader Naghavi, Eric Wade
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 27, Iss. 5, pp. 947-955
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

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
Multiple-Fine-Tuned Convolutional Neural Networks for Parkinson’s Disease Diagnosis From Offline Handwriting
Matej Gazda, Máté Hireš, Peter Drotár
IEEE Transactions on Systems Man and Cybernetics Systems (2021) Vol. 52, Iss. 1, pp. 78-89
Closed Access | Times Cited: 60
Detection and assessment of Parkinson's disease based on gait analysis: A survey
Yao Guo, Jianxin Yang, Yuxuan Liu, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 38
Parkinson disease detection using energy direction features based on EMD from voice signal
Tao Zhang, Yajuan Zhang, Hao Sun, et al.
Journal of Applied Biomedicine (2020) Vol. 41, Iss. 1, pp. 127-141
Closed Access | Times Cited: 58
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
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
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
An Explainable Spatial-Temporal Graphical Convolutional Network to Score Freezing of Gait in Parkinsonian Patients
Hyeokhyen Kwon, Gari D. Clifford, Imari Genias, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 1766-1766
Open Access | Times Cited: 17
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
Flexible Gel-Free Multi-Modal Wireless Sensors With Edge Deep Learning for Detecting and Alerting Freezing of Gait Symptom
Yuhan Hou, Jack Ji, Yi Zhu, et al.
IEEE Transactions on Biomedical Circuits and Systems (2023) Vol. 17, Iss. 5, pp. 1010-1021
Closed Access | Times Cited: 15
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
Towards Real-Time Prediction of Freezing of Gait in Patients With Parkinson’s Disease: Addressing the Class Imbalance Problem
Nader Naghavi, Aaron Miller, Eric Wade
Sensors (2019) Vol. 19, Iss. 18, pp. 3898-3898
Open Access | Times Cited: 41
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
Sensor-Based Locomotion Data Mining for Supporting the Diagnosis of Neurodegenerative Disorders: A Survey
Samaneh Zolfaghari, Sumaiya Suravee, Daniele Riboni, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 1, pp. 1-36
Open Access | Times Cited: 9
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: 3
Multi-Scale Sample Entropy-Based Energy Moment Features Applied to Fault Classification
Weidong Jiao, Gang Li, Yonghua Jiang, et al.
IEEE Access (2021) Vol. 9, pp. 8444-8454
Open Access | Times Cited: 22
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
Topological Descriptors of Gait Nonlinear Dynamics Toward Freezing-of-Gait Episodes Recognition in Parkinson’s Disease
Yan Yan, Yu-Shi Liu, Chengdong Li, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 5, pp. 4294-4304
Closed Access | Times Cited: 13
Classifying Tremor Dominant and Postural Instability and Gait Difficulty Subtypes of Parkinson’s Disease from Full-Body Kinematics
N. Jabin Gong, Gari D. Clifford, Christine D. Esper, et al.
Sensors (2023) Vol. 23, Iss. 19, pp. 8330-8330
Open Access | Times Cited: 7
Machine learning approach for predicting state transitions via shank acceleration data during freezing of gait in Parkinson’s disease
Ashima Khosla, Neelesh Kumar, Preeti Khera
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106053-106053
Closed 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
A Patient Invariant Model Towards the Prediction of Freezing of Gait
Nasimuddin Ahmed, Shivam Singhal, Aniruddha Sinha, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Closed 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
Bilateral Leg Stepping Coherence as a Predictor of Freezing of Gait in Patients With Parkinson’s Disease Walking With Wearable Sensors
Tal Krasovsky, Benedetta Heimler, Or Koren, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 31, pp. 798-805
Open Access | Times Cited: 9
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