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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:

Identification of Gait Unbalance and Fallers Among Subjects with Cerebellar Ataxia by a Set of Trunk Acceleration-Derived Indices of Gait
Stefano Filippo Castiglia, Dante Trabassi, Antonella Tatarelli, et al.
The Cerebellum (2022) Vol. 22, Iss. 1, pp. 46-58
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Machine Learning Approach to Support the Detection of Parkinson’s Disease in IMU-Based Gait Analysis
Dante Trabassi, Mariano Serrao, Tiwana Varrecchia, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3700-3700
Open Access | Times Cited: 69
Spinocerebellar ataxia 27B: A novel, frequent and potentially treatable ataxia
David Pellerin, Matt C. Danzi, M. Renaud, et al.
Clinical and Translational Medicine (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 28
Quantitative Gait and Balance Outcomes for Ataxia Trials: Consensus Recommendations by the Ataxia Global Initiative Working Group on Digital-Motor Biomarkers
Winfried Ilg, Sarah Milne, Tanja Schmitz‐Hübsch, et al.
The Cerebellum (2023) Vol. 23, Iss. 4, pp. 1566-1592
Open Access | Times Cited: 28
Optimizing Rare Disease Gait Classification through Data Balancing and Generative AI: Insights from Hereditary Cerebellar Ataxia
Dante Trabassi, Stefano Filippo Castiglia, Fabiano Bini, et al.
Sensors (2024) Vol. 24, Iss. 11, pp. 3613-3613
Open Access | Times Cited: 11
Dynamic Stability, Symmetry, and Smoothness of Gait in People with Neurological Health Conditions
Marco Tramontano, Amaranta Soledad Orejel Bustos, R. Montemurro, et al.
Sensors (2024) Vol. 24, Iss. 8, pp. 2451-2451
Open Access | Times Cited: 6
4-Aminopyridine improves real-life gait performance in SCA27B on a single-subject level: a prospective n-of-1 treatment experience
Jens Seemann, Andreas Traschütz, Winfried Ilg, et al.
Journal of Neurology (2023) Vol. 270, Iss. 11, pp. 5629-5634
Open Access | Times Cited: 13
Neurophysiology of cerebellar ataxias and gait disorders
Mario Manto, Mariano Serrao, Stefano Filippo Castiglia, et al.
Clinical Neurophysiology Practice (2023) Vol. 8, pp. 143-160
Open Access | Times Cited: 13
Local Dynamic Stability of Trunk During Gait is Responsive to Rehabilitation in Subjects with Primary Degenerative Cerebellar Ataxia
Stefano Filippo Castiglia, Dante Trabassi, Carmela Conte, et al.
The Cerebellum (2024) Vol. 23, Iss. 4, pp. 1478-1489
Open Access | Times Cited: 5
Different Purkinje cell pathologies cause specific patterns of progressive gait ataxia in mice
Dick Jaarsma, María B. Birkisdóttir, Randy van Vossen, et al.
Neurobiology of Disease (2024) Vol. 192, pp. 106422-106422
Open Access | Times Cited: 5
Discriminative ability, responsiveness, and interpretability of smoothness index of gait in people with multiple sclerosis
Stefano Filippo Castiglia, Fulvio Dal Farra, Dante Trabassi, et al.
Archives of Physiotherapy (2025), pp. 9-18
Open Access
Test-Retest Reliability and Minimal Detectable Changes for Wearable Sensor-Derived Gait Stability, Symmetry, and Smoothness in Individuals with Severe Traumatic Brain Injury
Fulvio Dal Farra, Stefano Filippo Castiglia, Maria Gabriella Buzzi, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1764-1764
Open Access
Predicting fall risk in older adults: A machine learning comparison of accelerometric and non-accelerometric factors
Ana González-Castro, José Alberto Bení­tez-Andrades, Rubén González-González, et al.
Digital Health (2025) Vol. 11
Open Access
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
Comparison of Gait Smoothness Metrics in Healthy Elderly and Young People
Mattia Antonelli, E. Caselli, Laura Gastaldi
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 911-911
Open Access | Times Cited: 3
Gait Identification Using Limb Joint Movement and Deep Machine Learning
Luke Topham, Wasiq Khan, Dhiya Al‐Jumeily, et al.
IEEE Access (2022) Vol. 10, pp. 100113-100127
Open Access | Times Cited: 14
The use of digital tools in rare neurological diseases towards a new care model: a narrative review
Francesca Torri, Gabriele Vadi, Adriana Meli, et al.
Neurological Sciences (2024)
Open 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
Kinematic network of joint motion provides insight on gait coordination: An observational study on Parkinson's disease
Emahnuel Troisi Lopez, Marianna Liparoti, Roberta Minino, et al.
Heliyon (2024) Vol. 10, Iss. 15, pp. e35751-e35751
Open Access | Times Cited: 1
At-home wearables and machine learning capture motor impairment and progression in adult ataxias
Radhika Manohar, Faye X. Yang, Christopher D. Stephen, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Validity of Linear and Nonlinear Measures of Gait Variability to Characterize Aging Gait with a Single Lower Back Accelerometer
Sophia Piergiovanni, Philippe Terrier
Sensors (2024) Vol. 24, Iss. 23, pp. 7427-7427
Open Access | Times Cited: 1
Wearable systems in movement disorders
Edoardo Bianchini, Walter Maetzler
International review of movement disorders (2023), pp. 93-113
Closed Access | Times Cited: 3
Digital Motor Biomarkers of Cerebellar Ataxia Using an RGB-Depth Camera-Based Motion Analysis System
Masahide Suzuki, Shigeki Hirano, Karen Otte, et al.
The Cerebellum (2023) Vol. 23, Iss. 3, pp. 1031-1041
Open Access | Times Cited: 3
Quantitative Characterization of Motor Control during Gait in Dravet Syndrome Using Wearable Sensors: A Preliminary Study
Maria Cristina Bisi, Roberto Di Marco, Francesca Ragona, et al.
Sensors (2022) Vol. 22, Iss. 6, pp. 2140-2140
Open Access | Times Cited: 4
An Update on the Measurement of Motor Cerebellar Dysfunction in Multiple Sclerosis
Katherine Kenyon, Frederique Boonstra, Gustavo Noffs, et al.
The Cerebellum (2022) Vol. 22, Iss. 4, pp. 761-775
Open Access | Times Cited: 4
Validity of linear and nonlinear measures of gait variability to characterize aging gait with a single low back accelerometer
Sophia Piergiovanni, Philippe Terrier
Research Square (Research Square) (2024)
Open Access
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