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:

Auto detection and segmentation of daily living activities during a Timed Up and Go task in people with Parkinson’s disease using multiple inertial sensors
Hung Nguyen, Karina Lebel, Patrick Boissy, et al.
Journal of NeuroEngineering and Rehabilitation (2017) Vol. 14, Iss. 1
Open Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Instrumented Timed Up and Go Test (iTUG)—More Than Assessing Time to Predict Falls: A Systematic Review
Paulina Ortega-Bastidas, Britam Gómez, Pablo Aqueveque, et al.
Sensors (2023) Vol. 23, Iss. 7, pp. 3426-3426
Open Access | Times Cited: 50

Systematic review on the application of wearable inertial sensors to quantify everyday life motor activity in people with mobility impairments
Fabian Marcel Rast, Rob Labruyère
Journal of NeuroEngineering and Rehabilitation (2020) Vol. 17, Iss. 1
Open Access | Times Cited: 67

Automatic Timed Up-and-Go Sub-Task Segmentation for Parkinson’s Disease Patients Using Video-Based Activity Classification
Tianpeng Li, Jiansheng Chen, Chunhua Hu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2018) Vol. 26, Iss. 11, pp. 2189-2199
Closed Access | Times Cited: 61

Assessment of movement disorders using wearable sensors during upper limb tasks: A scoping review
Inti Vanmechelen, Helga Haberfehlner, Joni De Vleeschhauwer, et al.
Frontiers in Robotics and AI (2023) Vol. 9
Open Access | Times Cited: 20

Machine learning based estimation of dynamic balance and gait adaptability in persons with neurological diseases using inertial sensors
Piergiuseppe Liuzzi, Ilaria Carpinella, Denise Anastasi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 16

Towards an Automated Unsupervised Mobility Assessment for Older People Based on Inertial TUG Measurements
Sandra Hellmers, Babak Izadpanah, Lena Dasenbrock, et al.
Sensors (2018) Vol. 18, Iss. 10, pp. 3310-3310
Open Access | Times Cited: 47

The Quebec Parkinson Network: A Researcher-Patient Matching Platform and Multimodal Biorepository
Ziv Gan‐Or, Trisha Rao, Etienne Léveillé, et al.
Journal of Parkinson s Disease (2019) Vol. 10, Iss. 1, pp. 301-313
Open Access | Times Cited: 47

Classification, Prediction, and Monitoring of Parkinson’s disease using Computer Assisted Technologies: A Comparative Analysis
Jinee Goyal, Padmavati Khandnor, Trilok Chand Aseri
Engineering Applications of Artificial Intelligence (2020) Vol. 96, pp. 103955-103955
Closed Access | Times Cited: 42

A Novel Framework Based on Deep Learning Architecture for Continuous Human Activity Recognition with Inertial Sensors
Vladimiro Suglia, Lucia Palazzo, Vitoantonio Bevilacqua, et al.
Sensors (2024) Vol. 24, Iss. 7, pp. 2199-2199
Open Access | Times Cited: 4

A Deep Learning-Based Framework Oriented to Pathological Gait Recognition with Inertial Sensors
Lucia Palazzo, Vladimiro Suglia, Sabrina Grieco, et al.
Sensors (2025) Vol. 25, Iss. 1, pp. 260-260
Open Access

On mobility and gait in scoliosis patients: a comparison of conventional and 3D-printed braces during an instrumented timed-up and go test
Simone Costantini, Davide Felice Redaelli, Paolo Fraschini, et al.
BMC Musculoskeletal Disorders (2025) Vol. 26, Iss. 1
Open Access

Reliability and validity of instrumented timed up and go test in typical adults and elderly: a systematic review
Jinyu Zhou, Qihang Yao, R. Z. Han, et al.
Archives of Physical Medicine and Rehabilitation (2025)
Closed Access

Mobility assessment in people with Alzheimer disease using smartphone sensors
Pilar Serra‐Añó, José Francisco Pedrero-Sánchez, Juan Hurtado-Abellán, et al.
Journal of NeuroEngineering and Rehabilitation (2019) Vol. 16, Iss. 1
Open Access | Times Cited: 37

Noninvasive Continuous Monitoring of Vital Signs With Wearables: Fit for Medical Use?
Malte Jacobsen, Till A. Dembek, Guido Kobbe, et al.
Journal of Diabetes Science and Technology (2020) Vol. 15, Iss. 1, pp. 34-43
Open Access | Times Cited: 30

Subtask Segmentation of Timed Up and Go Test for Mobility Assessment of Perioperative Total Knee Arthroplasty
Chia-Yeh Hsieh, Hsiang-Yun Huang, Kai-Chun Liu, et al.
Sensors (2020) Vol. 20, Iss. 21, pp. 6302-6302
Open Access | Times Cited: 30

Quantitative Evaluation of Gait Disturbance on an Instrumented Timed Up-and-go Test
Shigeki Yamada, Yukihiko Aoyagi, Kazuo Yamamoto, et al.
Aging and Disease (2018) Vol. 10, Iss. 1, pp. 23-23
Open Access | Times Cited: 28

Use of a Single Wireless IMU for the Segmentation and Automatic Analysis of Activities Performed in the 3-m Timed Up & Go Test
Paulina Ortega-Bastidas, Pablo Aqueveque, Britam Gómez, et al.
Sensors (2019) Vol. 19, Iss. 7, pp. 1647-1647
Open Access | Times Cited: 27

The Use of Inertial Measurement Units for the Study of Free Living Environment Activity Assessment: A Literature Review
Sylvain Jung, Mona Michaud, Laurent Oudre, et al.
Sensors (2020) Vol. 20, Iss. 19, pp. 5625-5625
Open Access | Times Cited: 25

Assessment of Functional Activities in Individuals with Parkinson’s Disease Using a Simple and Reliable Smartphone-Based Procedure
Pilar Serra‐Añó, José Francisco Pedrero-Sánchez, Marta Inglés, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 11, pp. 4123-4123
Open Access | Times Cited: 24

Instrumentally assessed gait quality is more relevant than gait endurance and velocity to explain patient‐reported walking ability in early‐stage multiple sclerosis
Ilaria Carpinella, Elisa Gervasoni, Denise Anastasi, et al.
European Journal of Neurology (2021) Vol. 28, Iss. 7, pp. 2259-2268
Closed Access | Times Cited: 19

Impact of Parkinson’s Disease on Functional Mobility at Different Stages
Sara Mollà‐Casanova, José Francisco Pedrero-Sánchez, Marta Inglés, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 13

Feasibility of quantifying the physical exposure of materials handlers in the workplace with magnetic and inertial measurement units
Xavier Robert‐Lachaine, Christian Larue, Denys Denis, et al.
Ergonomics (2019) Vol. 63, Iss. 3, pp. 283-292
Closed Access | Times Cited: 18

Issues of Human Activity Recognition in Healthcare
Enida Cero Dinarević, Jasmina Baraković Husić, Sabina Baraković
(2019) Vol. 57, pp. 1-6
Closed Access | Times Cited: 17

Development of wearable posture monitoring system for dynamic assessment of sitting posture
Chi-Chih Wu, Chuang-Chien Chiu, Chun-Yu Yeh
Physical and Engineering Sciences in Medicine (2019) Vol. 43, Iss. 1, pp. 187-203
Closed Access | Times Cited: 16

Cardinal Motor Features of Parkinson’s Disease Coexist with Peak-Dose Choreic-Type Drug-Induced Dyskinesia
Étienne Goubault, Hung Nguyen, Sarah Bogard, et al.
Journal of Parkinson s Disease (2018) Vol. 8, Iss. 2, pp. 323-331
Open Access | Times Cited: 15

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