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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:

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

Showing 21 citing articles:

Clinical neurophysiology of Parkinson’s disease and parkinsonism
Robert Chen, Alfredo Berardelli, Amitabh Bhattacharya, et al.
Clinical Neurophysiology Practice (2022) Vol. 7, pp. 201-227
Open Access | Times Cited: 56
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
Simplification of Mobility Tests and Data Processing to Increase Applicability of Wearable Sensors as Diagnostic Tools for Parkinson’s Disease
Rana M. Khalil, Lisa Shulman, Ann L. Gruber‐Baldini, et al.
Sensors (2024) Vol. 24, Iss. 15, pp. 4983-4983
Open Access | Times Cited: 4
Machine Learning and Wearable Sensors for the Early Detection of Balance Disorders in Parkinson’s Disease
Francesco Castelli Gattinara Di Zubiena, Greta Menna, Ilaria Mileti, et al.
Sensors (2022) Vol. 22, Iss. 24, pp. 9903-9903
Open Access | Times Cited: 19
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
Multiscale Entropy Algorithms to Analyze Complexity and Variability of Trunk Accelerations Time Series in Subjects with Parkinson’s Disease
Stefano Filippo Castiglia, Dante Trabassi, Carmela Conte, et al.
Sensors (2023) Vol. 23, Iss. 10, pp. 4983-4983
Open Access | Times Cited: 10
Identification and description of telerehabilitation assessments for individuals with neurological conditions: A scoping review
Jennifer O’Neil, Keely Barnes, Erin Donnelly, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 8
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
Multiscale Entropy Algorithms to Analyze Complexity and Variability of Trunk Accelerations Time Series in Subjects with Parkinson’s Disease
Stefano Filippo Castiglia, Dante Trabassi, Carmela Conte, et al.
(2023)
Open Access | Times Cited: 5
An Ad-Hoc Networked Measurement Framework to Real-Time Monitoring of Neurodegenerative Diseases
Chiara Carissimo, G. Cerro, Tommaso Di Libero, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
Thighs Lift in the Post Bariatric Patient – A Systematic Review
Pietro Susini, Gianluca Marcaccini, Roberto Cuomo, et al.
Journal of Plastic Reconstructive & Aesthetic Surgery (2024) Vol. 98, pp. 357-372
Closed Access | Times Cited: 1
Adaptive Inertial Sensor-Based Step Length Estimation Model
Melanija Vezočnik, Matjaž B. Jurič
Sensors (2022) Vol. 22, Iss. 23, pp. 9452-9452
Open Access | Times Cited: 6
Exploring the State of Machine Learning and Deep Learning in Medicine: A Survey of Italian Research Community
Alessio Bottrighi, Marzio Pennisi
(2023)
Open Access | Times Cited: 3
Exploring the State of Machine Learning and Deep Learning in Medicine: A Survey of the Italian Research Community
Alessio Bottrighi, Marzio Pennisi
Information (2023) Vol. 14, Iss. 9, pp. 513-513
Open Access | Times Cited: 3
Machine learning to detect, stage and classify diseases and their symptoms based on inertial sensor data: a mapping review
Daniele Bibbo, Cristiano De Marchis, Maurizio Schmid, et al.
Physiological Measurement (2023) Vol. 44, Iss. 12, pp. 12TR01-12TR01
Open Access | Times Cited: 3
The Use of Artificial Intelligence and Wearable IMUs in Medicine: A Systematic Review (Preprint)
Ricardo Smits Serena, Florian Hinterwimmer, Rainer Burgkart, et al.
(2024)
Open Access
The Use of Artificial Intelligence and Wearable IMUs in Medicine: A Systematic Review (Preprint)
Ricardo Smits Serena, Florian Hinterwimmer, Rainer Burgkart, et al.
JMIR mhealth and uhealth (2024)
Open Access
Performance Analysis of Human Activity
Rutuja Mhaiskar, D. Vaithiyanathan, Preeti Verma, et al.
ITM Web of Conferences (2023) Vol. 56, pp. 05006-05006
Open Access | Times Cited: 1
Correlation Analysis between Clinical Rating Scales and Inertial Signal Features in Parkinson’s Disease Patients
Tae Hee Kim, Ha Eun Jo, Hui Woo Choi, et al.
Journal of the Korean Society for Precision Engineering (2023) Vol. 40, Iss. 7, pp. 553-561
Closed Access
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
A Tool for Home Monitoring in Parkinson's Disease
Marco Mercuri, Francesco Pio Cecca, Sara Mattioli, et al.
(2022), pp. 1-5
Closed Access
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