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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:

Fall risk assessment in the wild: A critical examination of wearable sensor use in free-living conditions
Mina Nouredanesh, Alan Godfrey, Jennifer Howcroft, et al.
Gait & Posture (2020) Vol. 85, pp. 178-190
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

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: 125
Preventing falls: the use of machine learning for the prediction of future falls in individuals without history of fall
Ioannis Bargiotas, Danping Wang, Juan Mantilla, et al.
Journal of Neurology (2022) Vol. 270, Iss. 2, pp. 618-631
Open Access | Times Cited: 33
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
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
Aberrant decision-making as a risk factor for falls in aging
Shreya Jain, Nicolas Schweighofer, James M. Finley
Frontiers in Aging Neuroscience (2024) Vol. 16
Open Access | Times Cited: 4
Wearable Technology in Mobility and Falls Health Care: Finding Consensus on Their Clinical Utility and Identifying a Roadmap to Actual Use
Meghan Ambrens, Kim Delbaere, Kenneth Butcher, et al.
Journal of Geriatric Physical Therapy (2025)
Closed Access
Revisiting sensor-based intelligent fall risk assessment for older people: A systematic review
Xiaoqun Yu, Yuqing Cai, Rong Yang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110176-110176
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
Towards remote healthcare monitoring using accessible IoT technology: state-of-the-art, insights and experimental design
Graham Coulby, Alison Clear, Oliver Jones, et al.
BioMedical Engineering OnLine (2020) Vol. 19, Iss. 1
Open Access | Times Cited: 35
Acceleration Gait Measures as Proxies for Motor Skill of Walking: A Narrative Review
Pritika Dasgupta, Jessie M. VanSwearingen, Alan Godfrey, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 29, pp. 249-261
Open Access | Times Cited: 29
Wearable Sensor for Assessing Gait and Postural Alterations in Patients with Diabetes: A Scoping Review
Lorenzo Brognara, Antonio Mazzotti, Alberto Di Martino, et al.
Medicina (2021) Vol. 57, Iss. 11, pp. 1145-1145
Open Access | Times Cited: 24
A Deep Learning Approach for TUG and SPPB Score Prediction of (Pre-) Frail Older Adults on Real-Life IMU Data
Björn Friedrich, Sandra Lau, Lena Elgert, et al.
Healthcare (2021) Vol. 9, Iss. 2, pp. 149-149
Open Access | Times Cited: 22
Reliability, Validity, and Identification Ability of a Commercialized Waist-Attached Inertial Measurement Unit (IMU) Sensor-Based System in Fall Risk Assessment of Older People
Kejing Li, Nicky Lok-Yi Wong, Man-Ching Law, et al.
Biosensors (2023) Vol. 13, Iss. 12, pp. 998-998
Open Access | Times Cited: 7
External Validation and Further Exploration of Fall Prediction Models Based on Questionnaires and Daily-Life Trunk Accelerometry
Yuge Zhang, Roel H. A. Weijer, Kimberley S. van Schooten, et al.
Journal of the American Medical Directors Association (2024) Vol. 25, Iss. 8, pp. 105107-105107
Open Access | Times Cited: 2
Qigong Training Positively Impacts Both Posture and Mood in Breast Cancer Survivors With Persistent Post-surgical Pain: Support for an Embodied Cognition Paradigm
Ana Paula Quixadá, José García Vivas Miranda, Kamila Osypiuk, et al.
Frontiers in Psychology (2022) Vol. 13
Open Access | Times Cited: 11
Egocentric vision-based detection of surfaces: towards context-aware free-living digital biomarkers for gait and fall risk assessment
Mina Nouredanesh, Alan Godfrey, Dylan Powell, et al.
Journal of NeuroEngineering and Rehabilitation (2022) Vol. 19, Iss. 1
Open Access | Times Cited: 11
Activity recognition using a combination of high gain observer and deep learning computer vision algorithms
Ali Nouriani, Robert A. McGovern, Rajesh Rajamani
Intelligent Systems with Applications (2023) Vol. 18, pp. 200213-200213
Open Access | Times Cited: 6
Foot characteristics of the daily-life gait in postmenopausal females with distal radius fractures: a cross-sectional study
Akiko Yamamoto, Koji Fujita, Eriku Yamada, et al.
BMC Musculoskeletal Disorders (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 5
Towards Environment-Aware Fall Risk Assessment: Classifying Walking Surface Conditions Using IMU-Based Gait Data and Deep Learning
Abdulnasır Yildiz
Brain Sciences (2023) Vol. 13, Iss. 10, pp. 1428-1428
Open Access | Times Cited: 5
Real world validation of activity recognition algorithm and development of novel behavioral biomarkers of falls in aged control and movement disorder patients
Ali Nouriani, Alec Jonason, Luke T. Sabal, et al.
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 4
Using Sensor Graphs for Monitoring the Effect on the Performance of the OTAGO Exercise Program in Older Adults
Björn Friedrich, Carolin Lübbe, Enno-Edzard Steen, et al.
Sensors (2022) Vol. 22, Iss. 2, pp. 493-493
Open Access | Times Cited: 7
Toward enhanced free-living fall risk assessment: Data mining and deep learning for environment and terrain classification
Jason Moore, Samuel Stuart, Peter McMeekin, et al.
Intelligence-Based Medicine (2023) Vol. 8, pp. 100103-100103
Open Access | Times Cited: 3
Risky movement: Assessing fall risk in people with multiple sclerosis with wearable sensors and beacon-based smart-home monitoring
Taisa Kushner, Clara Mosquera-Lopez, Andrea Hildebrand, et al.
Multiple Sclerosis and Related Disorders (2023) Vol. 79, pp. 105019-105019
Closed Access | Times Cited: 3
Real-World Balance Assessment While Standing for Fall Prediction in Older Adults
José Albites-Sanabria, Pierpaolo Palumbo, Jorunn L. Helbostad, et al.
IEEE Transactions on Biomedical Engineering (2023) Vol. 71, Iss. 3, pp. 1076-1083
Closed Access | Times Cited: 3
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