Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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: 126

Showing 1-25 of 126 citing articles:

Present and future of gait assessment in clinical practice: Towards the application of novel trends and technologies
Abdul Aziz Hulleck, Dhanya Menoth Mohan, Nada Abdallah, et al.
Frontiers in Medical Technology (2022) Vol. 4
Open Access | Times Cited: 102
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
The Role of Wearable Devices in Chronic Disease Monitoring and Patient Care: A Comprehensive Review
Eman A Jafleh, Fatima A Alnaqbi, Hind A Almaeeni, et al.
Cureus (2024)
Open Access | Times Cited: 15
A machine learning contest enhances automated freezing of gait detection and reveals time-of-day effects
Amit Salomon, Eran Gazit, Pieter Ginis, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 9
Association of real life postural transitions kinematics with fatigue in neurodegenerative and immune diseases
Robbin Romijnders, Arash Atrsaei, Rana Zia Ur Rehman, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 1
Multi-modal gait: A wearable, algorithm and data fusion approach for clinical and free-living assessment
Yunus Çelik, Samuel Stuart, Wai Lok Woo, et al.
Information Fusion (2021) Vol. 78, pp. 57-70
Open Access | Times Cited: 55
Gait Analysis in Neurorehabilitation: From Research to Clinical Practice
Mirjam Bonanno, Alessandro Marco De Nunzio, Angelo Quartarone, et al.
Bioengineering (2023) Vol. 10, Iss. 7, pp. 785-785
Open Access | Times Cited: 19
TENG-based self-powered device- the heart of life
Yu Wang, Jiangshan Zhang, Xuexia Jia, et al.
Nano Energy (2023) Vol. 119, pp. 109080-109080
Closed Access | Times Cited: 19
Enhancing Free-Living Fall Risk Assessment: Contextualizing Mobility Based IMU Data
Jason Moore, Samuel Stuart, Peter McMeekin, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 891-891
Open Access | Times Cited: 18
Considerations for integrating wearables into the everyday healthcare practice
Dylan Powell, Alan Godfrey
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 17
Position paper on how technology for human motion analysis and relevant clinical applications have evolved over the past decades: Striking a balance between accuracy and convenience
Paolo Bonato, Véronique Feipel, Giulia Corniani, et al.
Gait & Posture (2024) Vol. 113, pp. 191-203
Open Access | Times Cited: 7
Critical success factors influencing wearable sensing device implementation in AEC industry
Chukwuma Nnaji, Ibukun Awolusi
Technology in Society (2021) Vol. 66, pp. 101636-101636
Closed Access | Times Cited: 35
Review—Emerging Portable Technologies for Gait Analysis in Neurological Disorders
Christina Salchow-Hömmen, Matej Skrobot, Magdalena C. E. Jochner, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 26
Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review
Huan Zhao, Junyi Cao, Junxiao Xie, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 15
IoT-Enabled Gait Assessment: The Next Step for Habitual Monitoring
Fraser Young, Rachel Mason, Rosie Morris, et al.
Sensors (2023) Vol. 23, Iss. 8, pp. 4100-4100
Open Access | Times Cited: 14
Contextualizing remote fall risk: Video data capture and implementing ethical AI
Jason Moore, Peter McMeekin, Thomas Parkes, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 5
The placement of foot-mounted IMU sensors does affect the accuracy of spatial parameters during regular walking
Arne Küderle, Nils Roth, Jovana Zlatanovic, et al.
PLoS ONE (2022) Vol. 17, Iss. 6, pp. e0269567-e0269567
Open Access | Times Cited: 21
Deep learning-based approaches for human motion decoding in smart walkers for rehabilitation
Carolina Gonçalves, João Lopes, Sara Moccia, et al.
Expert Systems with Applications (2023) Vol. 228, pp. 120288-120288
Open Access | Times Cited: 11
Bringing it all together: Wearable data fusion
Yunus Çelik, Alan Godfrey
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 11
Gait and mobility assessment in neurological conditions
Samuel Stuart, P Tait, Julia Das, et al.
Elsevier eBooks (2025), pp. 343-375
Closed Access
Wearable sensors for gait, balance, and mobility
Conor Wall, Peter McMeekin, Richard Walker, et al.
Elsevier eBooks (2025), pp. 241-276
Closed Access
Ten Meter Walk Test for motor function assessment with technological devices based on lower members’ movements: A systematic review
Maykol Santos, Eftim Zdravevski, Carlos Albuquerque, et al.
Computers in Biology and Medicine (2025) Vol. 187, pp. 109734-109734
Open Access
Reliability and Validity of a Video-Based Markerless Motion Capture System in Young Healthy Subjects
Ziqi Wang, Hao Chen, Lei Yue, et al.
Heliyon (2025) Vol. 11, Iss. 4, pp. e42597-e42597
Open Access
Application of AI-Driven IoT (Internet of Things) in Musculoskeletal Research
Firdaus Jawed, Sahar Zaidi, Rabia Aziz, et al.
Advances in medical education, research, and ethics (AMERE) book series (2025), pp. 461-488
Closed 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
Page 1 - Next Page

Scroll to top