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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:

Real-World Gait Speed Estimation Using Wrist Sensor: A Personalized Approach
Abolfazl Soltani, H. Dejnabadi, Martin Savary, et al.
IEEE Journal of Biomedical and Health Informatics (2019) Vol. 24, Iss. 3, pp. 658-668
Open Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Biocompatible and Long-Term Monitoring Strategies of Wearable, Ingestible and Implantable Biosensors: Reform the Next Generation Healthcare
Tian Lu, Shourui Ji, Weiqiu Jin, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 2991-2991
Open Access | Times Cited: 67
Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium
M. Encarna Micó-Amigo, Tecla Bonci, Anisoara Paraschiv-Ionescu, et al.
Journal of NeuroEngineering and Rehabilitation (2023) Vol. 20, Iss. 1
Open Access | Times Cited: 52
Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device
Cameron Kirk, Arne Küderle, M. Encarna Micó-Amigo, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 15
Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation Study
Felix Kluge, Yonatan E Brand, M. Encarna Micó-Amigo, et al.
JMIR Formative Research (2024) Vol. 8, pp. e50035-e50035
Open Access | Times Cited: 12
The performance of a machine learning model in predicting accelerometer-derived walking speed
Aleksej Logacjov, Tonje Pedersen Ludvigsen, Kerstin Bach, et al.
Heliyon (2025) Vol. 11, Iss. 2, pp. e42185-e42185
Open Access | Times Cited: 1
Next Steps in Wearable Technology and Community Ambulation in Multiple Sclerosis
Mikaela L. Frechette, Brett M. Meyer, Lindsey J. Tulipani, et al.
Current Neurology and Neuroscience Reports (2019) Vol. 19, Iss. 10
Closed Access | Times Cited: 50
Deep Learning in Gait Parameter Prediction for OA and TKA Patients Wearing IMU Sensors
Mohsen Sharifi Renani, Casey A. Myers, Rohola Zandie, et al.
Sensors (2020) Vol. 20, Iss. 19, pp. 5553-5553
Open Access | Times Cited: 44
Algorithms for Walking Speed Estimation Using a Lower-Back-Worn Inertial Sensor: A Cross-Validation on Speed Ranges
Abolfazl Soltani, Kamiar Aminian, Claudia Mazzà, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 1955-1964
Open Access | Times Cited: 33
Analytical and clinical validity of wearable, multi-sensor technology for assessment of motor function in patients with Parkinson’s disease in Japan
Genko Oyama, Maximilien Burq, Taku Hatano, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 15
Estimating Gait Speed in the Real World with a Head-Worn Inertial Sensor
P. Tasca, Francesca Salis, Samanta Rosati, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2025) Vol. 33, pp. 858-867
Open Access
Walking-speed estimation using a single inertial measurement unit for the older adults
Seonjeong Byun, Hyang Jun Lee, Ji Won Han, et al.
PLoS ONE (2019) Vol. 14, Iss. 12, pp. e0227075-e0227075
Open Access | Times Cited: 38
Gait Detection from a Wrist-Worn Sensor Using Machine Learning Methods: A Daily Living Study in Older Adults and People with Parkinson’s Disease
Yonatan E Brand, Dafna Schwartz, Eran Gazit, et al.
Sensors (2022) Vol. 22, Iss. 18, pp. 7094-7094
Open Access | Times Cited: 19
Innovative Use of Wrist-Worn Wearable Devices in the Sports Domain: A Systematic Review
Juan M. Santos-Gago, Mateo Ramos Merino, Sonia Vallarades-Rodriguez, et al.
Electronics (2019) Vol. 8, Iss. 11, pp. 1257-1257
Open Access | Times Cited: 34
Real-world gait speed estimation, frailty and handgrip strength: a cohort-based study
Abolfazl Soltani, Nazanin Abolhassani, Pedro Marques‐Vidal, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 25
Toward a Remote Assessment of Walking Bout and Speed: Application in Patients With Multiple Sclerosis
Arash Atrsaei, Farzin Dadashi, Benoît Mariani, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 25, Iss. 11, pp. 4217-4228
Open Access | Times Cited: 23
Free-Living Gait Cadence Measured by Wearable Accelerometer: A Promising Alternative to Traditional Measures of Mobility for Assessing Fall Risk
Jacek Urbanek, David L. Roth, Marta Karas, et al.
The Journals of Gerontology Series A (2022) Vol. 78, Iss. 5, pp. 802-810
Open Access | Times Cited: 16
Real-World Gait Bout Detection Using a Wrist Sensor: An Unsupervised Real-Life Validation
Abolfazl Soltani, Anisoara Paraschiv-Ionescu, H. Dejnabadi, et al.
IEEE Access (2020) Vol. 8, pp. 102883-102896
Open Access | Times Cited: 26
Development and large-scale validation of the Watch Walk wrist-worn digital gait biomarkers
Lloyd L. Y. Chan, Tiffany Ching Man Choi, Stephen R. Lord, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 14
A wearable multi-sensor system for real world gait analysis
Francesca Salis, Stefano Bertuletti, Kirsty Scott, et al.
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2021)
Open Access | Times Cited: 19
Continuous Locomotion Mode and Task Identification for an Assistive Exoskeleton Based on Neuromuscular–Mechanical Fusion
Yao Liu, Chunjie Chen, Zhuo Wang, et al.
Bioengineering (2024) Vol. 11, Iss. 2, pp. 150-150
Open Access | Times Cited: 2
Combining Different Wearable Devices to Assess Gait Speed in Real-World Settings
Michele Zanoletti, Pasquale Bufano, Francesco Bossi, et al.
Sensors (2024) Vol. 24, Iss. 10, pp. 3205-3205
Open Access | Times Cited: 2
Continuous Analysis of Marathon Running Using Inertial Sensors: Hitting Two Walls?
Frédéric Meyer, Mathieu Falbriard, Benoît Mariani, et al.
International Journal of Sports Medicine (2021) Vol. 42, Iss. 13, pp. 1182-1190
Closed Access | Times Cited: 16
Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium
M. Encarna Micó-Amigo, Tecla Bonci, Anisoara Paraschiv-Ionescu, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 11
The Analytical and Clinical Validity of the pfSTEP Digital Biomarker of the Susceptibility/Risk of Declining Physical Function in Community-Dwelling Older Adults
A. Schoenfelder, Brad Metcalf, Joss Langford, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5122-5122
Open Access | Times Cited: 6
Predicting a Fall Based on Gait Anomaly Detection: A Comparative Study of Wrist-Worn Three-Axis and Mobile Phone-Based Accelerometer Sensors
Primož Kocuvan, Aleksander Hrastič, Andrea Kareska, et al.
Sensors (2023) Vol. 23, Iss. 19, pp. 8294-8294
Open Access | Times Cited: 6
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