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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:

Validity and Reproducibility of Inertial Physilog Sensors for Spatiotemporal Gait Analysis in Patients With Stroke
Nina Lefeber, Marc Degelaen, Chris Truyers, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 27, Iss. 9, pp. 1865-1874
Open Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

Assessment Methods of Post-stroke Gait: A Scoping Review of Technology-Driven Approaches to Gait Characterization and Analysis
Dhanya Menoth Mohan, Ahsan H. Khandoker, Sabahat A Wasti, et al.
Frontiers in Neurology (2021) Vol. 12
Open Access | Times Cited: 109
IMU-based motion capture system for rehabilitation applications: A systematic review
Chenyu Gu, Weicong Lin, Xinyi He, et al.
Biomimetic Intelligence and Robotics (2023) Vol. 3, Iss. 2, pp. 100097-100097
Open Access | Times Cited: 41
Gait analysis in neurological populations: Progression in the use of wearables
Yunus Çelik, Samuel Stuart, Wai Lok Woo, et al.
Medical Engineering & Physics (2020) Vol. 87, pp. 9-29
Open Access | Times Cited: 124
Fifteen Years of Progress at Zero Velocity: A Review
Johan Wahlström, Isaac Skog
IEEE Sensors Journal (2020) Vol. 21, Iss. 2, pp. 1139-1151
Open Access | Times Cited: 79
Recent Advances in Quantitative Gait Analysis Using Wearable Sensors: A Review
Yonatan Hutabarat, Dai Owaki, Mitsuhiro Hayashibe
IEEE Sensors Journal (2021) Vol. 21, Iss. 23, pp. 26470-26487
Open Access | Times Cited: 41
Gait-based person fall prediction using deep learning approach
A. Sampath Dakshina Murthy, T. Karthikeyan, R. Vinoth Kanna
Soft Computing (2021) Vol. 26, Iss. 23, pp. 12933-12941
Closed Access | Times Cited: 33
Reliability and Validity of a Wearable Sensing System and Online Gait Analysis Report in Persons after Stroke
Anne Schwarz, Adib Al‐Haj Husain, Lorenzo Einaudi, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 624-624
Open Access | Times Cited: 14
Risk of using smartphones while walking for digital natives in realistic environments: Effects of cognitive–motor interference
Yungon Lee, Sunghoon Shin
Heliyon (2024) Vol. 10, Iss. 7, pp. e28901-e28901
Open Access | Times Cited: 4
Gait and mobility assessment in neurological conditions
Samuel Stuart, P Tait, Julia Das, et al.
Elsevier eBooks (2025), pp. 343-375
Closed Access
PEMOCS: effects of a concept-guided, PErsonalized, MOtor-Cognitive exergame training on cognitive functions and gait in chronic Stroke—a randomized, controlled trial
Simone Huber, Ruud H. Knols, Jeremia P. O. Held, et al.
Frontiers in Aging Neuroscience (2025) Vol. 17
Open Access
Better Understanding Rehabilitation of Motor Symptoms: Insights from the Use of Wearables
Yunus Çelik, Conor Wall, Jason Moore, et al.
Pragmatic and Observational Research (2025) Vol. Volume 16, pp. 67-93
Open Access
Spatio-temporal gait parameters obtained from foot-worn inertial sensors are reliable in healthy adults in single- and dual-task conditions
Julie Soulard, Jacques Vaillant, Romain Balaguier, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 31
Validation of shoe-worn Gait Up Physilog®5 wearable inertial sensors in adolescents
Kate Carroll, Rachel Kennedy, V. Koutoulas, et al.
Gait & Posture (2021) Vol. 91, pp. 19-25
Closed Access | Times Cited: 24
Personalized Motor-Cognitive Exergame Training in Chronic Stroke Patients—A Feasibility Study
Simone Huber, Jeremia P. O. Held, Eling D. de Bruin, et al.
Frontiers in Aging Neuroscience (2021) Vol. 13
Open Access | Times Cited: 24
Interactive boxing–cycling on frailty and activity limitations in frail and prefrail older adults: A randomized controlled trial
Yi‐Jia Lin, Wei-Chun Hsu, Kai Chen Wang, et al.
Annals of Physical and Rehabilitation Medicine (2024) Vol. 67, Iss. 4, pp. 101819-101819
Closed Access | Times Cited: 3
Reliability of Obstacle-Crossing Parameters during Overground Walking in Young Adults
Matthias Chardon, Fábio Augusto Barbieri, Pascal Petit, et al.
Sensors (2024) Vol. 24, Iss. 11, pp. 3387-3387
Open Access | Times Cited: 3
Calibration-Free Gait Assessment by Foot-Worn Inertial Sensors
Daniel Laidig, Andreas J. Jocham, Bernhard Guggenberger, et al.
Frontiers in Digital Health (2021) Vol. 3
Open Access | Times Cited: 19
Sensor Combination Selection for Human Gait Phase Segmentation Based on Lower Limb Motion Capture With Body Sensor Network
Jie Li, Xiaofeng Liu, Zhelong Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-14
Closed Access | Times Cited: 12
Plastic Optical Fiber Integrated With Smartphone for Gait Monitoring
Jun Chen, Chuanxin Teng, Renfei Kuang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 16, pp. 18207-18218
Closed Access | Times Cited: 7
Measurement Accuracy of the HTC VIVE Tracker 3.0 Compared to Vicon System for Generating Valid Positional Feedback in Virtual Reality
Sebastian Merker, Stefan Pastel, Dan Bürger, et al.
Sensors (2023) Vol. 23, Iss. 17, pp. 7371-7371
Open Access | Times Cited: 7
Fall-related gait pattern recognition based on surface electromyography using a hybrid neural network with transfer learning
Shuo Zhang, Jin Qi, Sheng Hao, et al.
Biomedical Signal Processing and Control (2024) Vol. 98, pp. 106771-106771
Closed Access | Times Cited: 2
Self-Powered Inertial Sensor Based on Carbon Nanotube Yarn
Ji Hwan Moon, Bum-Joon Kim, Yongwoo Jang, et al.
IEEE Transactions on Industrial Electronics (2020) Vol. 68, Iss. 9, pp. 8904-8910
Closed Access | Times Cited: 15
Foot-Worn Inertial Sensors Are Reliable to Assess Spatiotemporal Gait Parameters in Axial Spondyloarthritis under Single and Dual Task Walking in Axial Spondyloarthritis
Julie Soulard, Jacques Vaillant, Romain Balaguier, et al.
Sensors (2020) Vol. 20, Iss. 22, pp. 6453-6453
Open Access | Times Cited: 15
An observational study to assess validity and reliability of smartphone sensor-based gait and balance assessments in multiple sclerosis: Floodlight GaitLab protocol
Mike D. Rinderknecht, Mattia Zanon, Tjitske Boonstra, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 5
A Determination Method for Gait Event Based on Acceleration Sensors
Chang Mei, Farong Gao, Ying Li
Sensors (2019) Vol. 19, Iss. 24, pp. 5499-5499
Open Access | Times Cited: 15
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