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:

Deep Learning for Accelerometric Data Assessment and Ataxic Gait Monitoring
Aleš Procházka, Ondřej Dostál, Pavel Cejnar, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 360-367
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Wearable Sensor Technologies to Assess Motor Functions in People With Multiple Sclerosis: Systematic Scoping Review and Perspective
Tim Woelfle, Lucie Bourguignon, Johannes Lorscheider, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e44428-e44428
Open Access | Times Cited: 24

Analysis of Gait Sub-Movements to Estimate Ataxia Severity Using Ankle Inertial Data
Juhyeon Lee, Brandon Oubre, Jean‐François Daneault, et al.
IEEE Transactions on Biomedical Engineering (2022) Vol. 69, Iss. 7, pp. 2314-2323
Open Access | Times Cited: 18

Federated Deep Learning for the Diagnosis of Cerebellar Ataxia: Privacy Preservation and Auto-Crafted Feature Extractor
Thang Ngo, Dinh C. Nguyen, Pubudu N. Pathirana, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 803-811
Open Access | Times Cited: 17

Detection of ataxia with hybrid convolutional neural network using static plantar pressure distribution model in patients with multiple sclerosis
Mustafa Kaya, Serkan Karakuş, Seda Arslan Tuncer
Computer Methods and Programs in Biomedicine (2021) Vol. 214, pp. 106525-106525
Closed Access | Times Cited: 17

User Authentication by Gait Data from Smartphone Sensors Using Hybrid Deep Learning Network
Qian Cao, Fei Xu, Huiyong Li
Mathematics (2022) Vol. 10, Iss. 13, pp. 2283-2283
Open Access | Times Cited: 9

Auto-Gait
Wasifur Rahman, Masum Hasan, Md. Saiful Islam, et al.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2023) Vol. 7, Iss. 1, pp. 1-19
Open Access | Times Cited: 5

Transferable multi-modal fusion in knee angles and gait phases for their continuous prediction
Zhenpeng Guo, Huixian Zheng, Hanrui Wu, et al.
Journal of Neural Engineering (2023) Vol. 20, Iss. 3, pp. 036019-036019
Closed Access | Times Cited: 5

Analysis of static plantar pressure data with capsule networks: Diagnosing ataxia in MS patients with a deep learning-based approach
Çağla Danacı, Merve Parlak Baydoğan, Seda Arslan Tuncer
Multiple Sclerosis and Related Disorders (2024) Vol. 83, pp. 105465-105465
Closed Access | Times Cited: 1

Evaluation of Accelerometric and Cycling Cadence Data for Motion Monitoring
Hana Charvátová, Aleš Procházka, Oldřich Vyšata, et al.
IEEE Access (2021) Vol. 9, pp. 129256-129263
Open Access | Times Cited: 10

Knowledge Transferring in Deep Learning of Wearable Dynamics
Caroline Chavez, Kiirthanaa Gangadharan, Qingxue Zhang
2023 IEEE International Conference on Consumer Electronics (ICCE) (2023), pp. 1-4
Closed Access | Times Cited: 3

Supporting the Assessment of Hereditary Transthyretin Amyloidosis Patients Based On 3-D Gait Analysis and Machine Learning
Maria do Carmo Vilas-Boas, Ana Patrícia Rocha, Márcio Cardoso, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 1350-1362
Open Access | Times Cited: 8

Detection of ataxia in low disability MS patients by hybrid convolutional neural networks based on images of plantar pressure distribution
Ferhat Balgetir, Furkan Bilek, Serkan Kakakus, et al.
Multiple Sclerosis and Related Disorders (2021) Vol. 56, pp. 103261-103261
Closed Access | Times Cited: 8

Incremental deep learning for reflectivity data recognition in stomatology
Aleš Procházka, Jindřich Charvát, Oldřich Vyšata, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 9, pp. 7081-7089
Open Access | Times Cited: 5

Automatic ML-based vestibular gait classification: examining the effects of IMU placement and gait task selection
Safa Jabri, Wendy J. Carender, Jenna Wiens, et al.
Journal of NeuroEngineering and Rehabilitation (2022) Vol. 19, Iss. 1
Open Access | Times Cited: 5

HDFRMAH: design of a high-density feature representation model for multidomain analysis of human health issues
Rakhi Mutha, Santosh Lavate, Suresh Limkar, et al.
Soft Computing (2023) Vol. 27, Iss. 12, pp. 8493-8503
Closed Access | Times Cited: 2

Design of methods for impact detection in geotechnical protection fences using Machine Learning
Jan Velička, Martin Pieš, Radovan Hájovský
IFAC-PapersOnLine (2022) Vol. 55, Iss. 4, pp. 91-96
Open Access | Times Cited: 3

Ataxic person prediction using feature optimized based on machine learning model
Pavithra Durganivas Seetharama, Shrishail Math
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2024) Vol. 14, Iss. 2, pp. 2100-2100
Open Access

Determination of Ataxia with EfficientNet Models in Person with Early MS using Plantar Pressure Distribution Signals
Taner Tuncer, Aslı Sesli, Seda Arslan Tuncer
Applied Computer Systems (2024) Vol. 29, Iss. 1, pp. 45-52
Open Access

Online Transfer Learning with Pseudo Label for Gait Phase Prediction
Zhenpeng Guo, Hanrui Wu, Jinglong Fang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-15
Closed Access

A Visual Calibration Driven Gait Analysis Model using Wearables
Cheng‐Wei Lin, Wen Qi, Hang Su, et al.
(2024), pp. 1-7
Closed Access

Mobile Accelerometer Applications in Core Muscle Rehabilitation and Pre-Operative Assessment
Aleš Procházka, Daniel Martynek, Marie Vitujová, et al.
Sensors (2024) Vol. 24, Iss. 22, pp. 7330-7330
Open Access

DL-Enhanced GAIT Analysis for Rehabilitation: A Comprehensive Survey
O. Pushpalatha, R. Premkumar
International Journal of Electrical and Electronics Engineering (2024) Vol. 11, Iss. 11, pp. 203-221
Closed Access

Motion Analysis Using Global Navigation Satellite System and Physiological Data
Aleš Procházka, Alexandra Molčanová, Hana Charvátová, et al.
IEEE Access (2023) Vol. 11, pp. 42096-42103
Open Access | Times Cited: 1

The Effect of Face Masks on Physiological Data and the Classification of Rehabilitation Walking
Aleš Procházka, Hana Charvátová, Oldřich Vyšata
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 2467-2473
Open Access | Times Cited: 2

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