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:

Using Features Extracted From Upper Limb Reaching Tasks to Detect Parkinson’s Disease by Means of Machine Learning Models
Giuseppe Cesarelli, Leandro Donisi, Francesco Amato, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 1056-1063
Open Access | Times Cited: 13

Showing 13 citing articles:

Assessing sensor-derived features from a wrist-worn wearable device as indicators of upper extremity function in individuals with cervical spinal cord injury
Taylor Johnson, Cole Hagen, Donna L. Coffman, et al.
Archives of Physical Medicine and Rehabilitation (2025)
Closed Access

Machine learning and deep learning approach to Parkinson’s disease detection: present state-of-the-art and a bibliometric review
Gauri Sabherwal, Amandeep Kaur
Multimedia Tools and Applications (2024) Vol. 83, Iss. 29, pp. 72997-73030
Closed Access | Times Cited: 3

IMNMAGN: Integrative Multimodal Approach for Enhanced Detection of Neurodegenerative Diseases Using Fusion of Multidomain Analysis With Graph Networks
R. Vijay Anand, T Shanmuga Priyan, Madala Guru Brahmam, et al.
IEEE Access (2024) Vol. 12, pp. 73095-73112
Open Access | Times Cited: 1

The effect of gravity on hand spatio-temporal kinematic features during functional movements
Anna Bucchieri, Federico Tessari, Stefano Buccelli, et al.
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0310192-e0310192
Open Access | Times Cited: 1

Feasibility of Tree-Based Machine Learning Models to Discriminate Safe and Unsafe Posture During Weight Lifting
G. Prisco, Maria Romano, Fabrizio Esposito, et al.
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (2023), pp. 870-875
Closed Access | Times Cited: 3

Robotics-Based Characterization of Sensorimotor Integration in Parkinson’s Disease and the Effect of Medication
Yokhesh Krishnasamy Tamilselvam, Mandar Jog, Rajni V. Patel
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 3201-3211
Open Access | Times Cited: 2

A Viscoelastic Model to Evidence Reduced Upper-Limb-Swing Capabilities during Gait for Parkinson’s Disease-Affected Subjects
Luca Pietrosanti, Cristiano Maria Verrelli, F. Giannini, et al.
Electronics (2023) Vol. 12, Iss. 15, pp. 3347-3347
Open Access | Times Cited: 2

Agreement between Optoelectronic System and Wearable Sensors for the Evaluation of Gait Spatiotemporal Parameters in Progressive Supranuclear Palsy
Carlo Ricciardi, Noemi Pisani, Leandro Donisi, et al.
Sensors (2023) Vol. 23, Iss. 24, pp. 9859-9859
Open Access | Times Cited: 2

A Cluster Analysis for Parkinson's Disease Phenotyping with Gait Parameters
Michela Russo, Carlo Ricciardi, Marianna Amboni, et al.
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (2023), pp. 882-887
Closed Access | Times Cited: 2

Automatic Parkinson’s Disease Diagnosis with Wearable Sensor Technology for Medical Robot
Miaoxin Ji, Renhao Ren, Wei Zhang, et al.
Electronics (2024) Vol. 13, Iss. 14, pp. 2816-2816
Open Access

Vision-Based Abnormal Action Dataset for Recognising Body Motion Disorders
Jiaying Ying, Xin Shen, Xin Yu
Lecture notes in computer science (2024), pp. 443-455
Closed Access

Development of Healthcare Model Using AR-DVAE with Mayfly-MLP-BPN for Parkinson's Disease Detection
G N Keshava Murthy, Piyush Kumar Pareek, T. N. Manjunath, et al.
(2023), pp. 1-7
Closed Access

A Machine Learning approach to classify ventilatory efficiency
G. Prisco, Klara Komici, Francesco Mercaldo, et al.
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (2023), pp. 646-651
Closed Access

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