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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:

A new index to assess turning quality and postural stability in patients with Parkinson's disease
Luigi Borzì, Gabriella Olmo, Carlo Alberto Artusi, et al.
Biomedical Signal Processing and Control (2020) Vol. 62, pp. 102059-102059
Open Access | Times Cited: 18

Showing 18 citing articles:

Real-time detection of freezing of gait in Parkinson’s disease using multi-head convolutional neural networks and a single inertial sensor
Luigi Borzì, Luis Sigcha, Daniel Rodríguez-Martín, et al.
Artificial Intelligence in Medicine (2022) Vol. 135, pp. 102459-102459
Closed Access | Times Cited: 37
Gait and Balance Assessments using Smartphone Applications in Parkinson’s Disease: A Systematic Review
Libak Abou, Joseph Peters, Ellyce Wong, et al.
Journal of Medical Systems (2021) Vol. 45, Iss. 9
Open Access | Times Cited: 48
Unveiling the Unpredictable in Parkinson’s Disease: Sensor-Based Monitoring of Dyskinesias and Freezing of Gait in Daily Life
Alessandro Zampogna, Luigi Borzì, Domiziana Rinaldi, et al.
Bioengineering (2024) Vol. 11, Iss. 5, pp. 440-440
Open Access | Times Cited: 7
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
Deep Learning for hand tracking in Parkinson’s Disease video-based assessment: Current and future perspectives
Gianluca Amprimo, Giulia Masi, Gabriella Olmo, et al.
Artificial Intelligence in Medicine (2024) Vol. 154, pp. 102914-102914
Open Access | Times Cited: 4
Predicting Axial Impairment in Parkinson’s Disease through a Single Inertial Sensor
Luigi Borzì, Ivan Mazzetta, Alessandro Zampogna, et al.
Sensors (2022) Vol. 22, Iss. 2, pp. 412-412
Open Access | Times Cited: 21
Context Recognition Algorithms for Energy-Efficient Freezing-of-Gait Detection in Parkinson’s Disease
Luigi Borzì, Luis Sigcha, Gabriella Olmo
Sensors (2023) Vol. 23, Iss. 9, pp. 4426-4426
Open Access | Times Cited: 11
Speech features-based Parkinson’s disease classification using combined SMOTE-ENN and binary machine learning
Samiappan Dhanalakshmi, Sudeshna Das, Ramalingam Senthil
Health and Technology (2024) Vol. 14, Iss. 2, pp. 393-406
Closed Access | Times Cited: 4
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
Bradykinesia Detection in Parkinson’s Disease Using Smartwatches’ Inertial Sensors and Deep Learning Methods
Luis Sigcha, Beatriz Domínguez, Luigi Borzì, et al.
Electronics (2022) Vol. 11, Iss. 23, pp. 3879-3879
Open Access | Times Cited: 15
Integrating OpenPose and SVM for Quantitative Postural Analysis in Young Adults: A Temporal-Spatial Approach
Posen Lee, Tai‐Been Chen, Hung‐Yu Lin, et al.
Bioengineering (2024) Vol. 11, Iss. 6, pp. 548-548
Open Access
Towards Sustainable Management of Parkinson’s Disease Healthcare: Evaluating the Role and Impact of Mobile Health Devices (Preprint)
Mevludin Memedi, Blerim Emruli, Yang Cao, et al.
(2024)
Closed Access
Reliability Test of Mobile Embedded Accelerometers and Gyroscopes with the Goal of Measuring Postural Stability for People with Parkinson's Disease
Matthew Thelen, Alexis Meeker, Fardeen Mazumder, et al.
Journal of Engineering and Science in Medical Diagnostics and Therapy (2024) Vol. 8, Iss. 1
Closed Access
Development of gravitationally aligned pendant IMU frailty identifier
Chan‐Yun Yang, Nilantha Premakumara, Huei‐Ling Chiu, et al.
Computers & Electrical Engineering (2024) Vol. 118, pp. 109466-109466
Closed Access
Remote scoring models of rigidity and postural stability of Parkinson’s disease based on indirect motions and a low-cost RGB algorithm
Lingyan Ma, Weikun Shi, Cheng Chen, et al.
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 1
Is There a Better Way to Assess Parkinsonian Motor Symptoms?—Experimental and Modelling Approach
Sandeep Sathyanandan Nair, Vignayanandam Ravindernath Muddapu, Meghna Sriram, et al.
Series in bioengineering (2021), pp. 151-167
Closed Access | Times Cited: 1
Correlation between wearable inertial sensor data and standardised Parkinson’s disease axial impairment measures using machine learning
Luigi Borzì, Alessandro Manoni, Alessandro Zampogna, et al.
2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) (2022) Vol. 62, pp. 732-736
Closed Access
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