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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 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

Showing 1-25 of 47 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
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
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
Multimodal Data for the Detection of Freezing of Gait in Parkinson’s Disease
Wei Zhang, Zhuokun Yang, Hantao Li, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 28
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
Improvement of Performance in Freezing of Gait detection in Parkinson’s Disease using Transformer networks and a single waist-worn triaxial accelerometer
Luis Sigcha, Luigi Borzì, Ignacio Pavón García, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105482-105482
Open Access | Times Cited: 26
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
Parkinson's severity diagnosis explainable model based on 3D multi-head attention residual network
Jiehui Huang, Lishan Lin, Fengcheng Yu, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 107959-107959
Closed Access | Times Cited: 4
Technology for measuring freezing of gait: Current state of the art and recommendations
Martina Mancini, J. Lucas McKay, Helena Cockx, et al.
Journal of Parkinson s Disease (2025)
Open Access
Algorithms for gait: technical and clinical validity
Lisa Alcock, M. Encarna Micó-Amigo, Tecla Bonci, et al.
Elsevier eBooks (2025), pp. 277-321
Closed Access
Predictive Analysis of Freezing of Gait Events in Parkinson's Disease Using Accelerometer Data and LGBM Modeling: A Precision-Centric Approach
Riddhi Doshi, Hardik Gupta, Praniket Walavalkar, et al.
Lecture notes in networks and systems (2025), pp. 205-221
Closed Access
IMU-Based Monitoring for Assistive Diagnosis and Management of IoHT: A Review
Fan Bo, Mustafa Ozkan Yerebakan, Yanning Dai, et al.
Healthcare (2022) Vol. 10, Iss. 7, pp. 1210-1210
Open Access | Times Cited: 21
WiFOG: Integrating deep learning and hybrid feature selection for accurate freezing of gait detection
Zeeshan Habib, Muhammad Ali Mughal, Muhammad Attique Khan, et al.
Alexandria Engineering Journal (2023) Vol. 86, pp. 481-493
Open Access | Times Cited: 12
An fNIRS-Based Dynamic Functional Connectivity Analysis Method to Signify Functional Neurodegeneration of Parkinson’s Disease
Jiewei Lu, Xinyuan Zhang, Yue Wang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 1199-1207
Open Access | Times Cited: 11
Recognition of freezing of gait in Parkinson’s disease based on combined wearable sensors
Kang Ren, Zhonglue Chen, Yun Ling, et al.
BMC Neurology (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 17
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
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
Deep learning algorithms for detecting freezing of gait in Parkinson’s disease: A cross-dataset study
Luis Sigcha, Luigi Borzì, Gabriella Olmo
Expert Systems with Applications (2024) Vol. 255, pp. 124522-124522
Open Access | Times Cited: 3
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
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
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
MaD GUI: An Open-Source Python Package for Annotation and Analysis of Time-Series Data
Malte Ollenschläger, Arne Küderle, Wolfgang Mehringer, et al.
Sensors (2022) Vol. 22, Iss. 15, pp. 5849-5849
Open Access | Times Cited: 11
Episode-level prediction of freezing of gait based on wearable inertial signals using a deep neural network model
Debin Huang, Chan Wu, Yiwen Wang, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105613-105613
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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