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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:

Classification of Neurological Patients to Identify Fallers Based on Spatial-Temporal Gait Characteristics Measured by a Wearable Device
Yuhan Zhou, Rana Zia Ur Rehman, Clint Hansen, et al.
Sensors (2020) Vol. 20, Iss. 15, pp. 4098-4098
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges
Sen Qiu, Hongkai Zhao, Nan Jiang, et al.
Information Fusion (2021) Vol. 80, pp. 241-265
Closed Access | Times Cited: 439
Digital Neuropsychology beyond Computerized Cognitive Assessment: Applications of Novel Digital Technologies
Che Harris, Yingfei Tang, Eliana Birnbaum, et al.
Archives of Clinical Neuropsychology (2024) Vol. 39, Iss. 3, pp. 290-304
Open Access | Times Cited: 11
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: 31
Gait Analysis with Wearables Can Accurately Classify Fallers from Non-Fallers: A Step toward Better Management of Neurological Disorders
Rana Zia Ur Rehman, Yuhan Zhou, Silvia Del Din, et al.
Sensors (2020) Vol. 20, Iss. 23, pp. 6992-6992
Open Access | Times Cited: 43
Age-related gait patterns classification using deep learning based on time-series data from one accelerometer
Xiaoping Zheng, Elisabeth Wilhelm, Egbert Otten, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107406-107406
Open Access
Validity and reliability of wearable motion sensors in knee joint range of motion measurement
Abdullah Osman Koçak, Ayhan Çetinkaya, M.G. Yavuzer
Fisioterapia (2025)
Closed Access
DUO-GAIT: A gait dataset for walking under dual-task and fatigue conditions with inertial measurement units
Lin Zhou, Eric W. Fischer, Clemens Markus Brahms, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 11
Open-source dataset reveals relationship between walking bout duration and fall risk classification performance in persons with multiple sclerosis
Brett M. Meyer, Lindsey J. Tulipani, Reed D. Gurchiek, et al.
PLOS Digital Health (2022) Vol. 1, Iss. 10, pp. e0000120-e0000120
Open Access | Times Cited: 17
Characterization of Knee and Gait Features From a Wearable Tele-Health Monitoring System
Abu Ilius Faisal, Tapas Mondal, David Cowan, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 6, pp. 4741-4753
Closed Access | Times Cited: 12
Validity and reliability of the DANU sports system for walking and running gait assessment
Rachel Mason, Gill Barry, H. G. Robinson, et al.
Physiological Measurement (2023) Vol. 44, Iss. 11, pp. 115001-115001
Open Access | Times Cited: 7
An Experimental Study on the Validity and Reliability of a Smartphone Application to Acquire Temporal Variables during the Single Sit-to-Stand Test with Older Adults
Diogo Luís Marques, Henrique P. Neiva, Ivan Miguel Pires, et al.
Sensors (2021) Vol. 21, Iss. 6, pp. 2050-2050
Open Access | Times Cited: 16
Association between daily gait speed patterns and cognitive impairment in community-dwelling older adults
Kanako Seo, Naoto Takayanagi, Motoki Sudo, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 6
Wearable Movement Sensors for Rehabilitation: From Technology to Clinical Practice
G. Ruben H. Regterschot, Gerard M. Ribbers, Johannes B. J. Bussmann
Sensors (2021) Vol. 21, Iss. 14, pp. 4744-4744
Open Access | Times Cited: 14
The Effect of Dual-Task Motor-Cognitive Training in Adults with Neurological Diseases Who Are at Risk of Falling
Barbara Spanò, Massimo De Tollis, Sara Taglieri, et al.
Brain Sciences (2022) Vol. 12, Iss. 9, pp. 1207-1207
Open Access | Times Cited: 10
Bedtime Monitoring for Fall Detection and Prevention in Older Adults
Jesús Fernández-Bermejo Ruiz, Javier Dorado Chaparro, María J. Santofimia, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 12, pp. 7139-7139
Open Access | Times Cited: 9
Edge Computing Transformers for Fall Detection in Older Adults
Jesús Fernández-Bermejo Ruiz, Jesús Martínez del Rincón, Javier Dorado Chaparro, et al.
International Journal of Neural Systems (2024) Vol. 34, Iss. 05
Closed Access | Times Cited: 1
Performance of digital technologies in assessing fall risks among older adults with cognitive impairment: a systematic review
Vanessa Koh, Wei Xuan Lai, Tan Kai Zhe, et al.
GeroScience (2024) Vol. 46, Iss. 3, pp. 2951-2975
Open Access | Times Cited: 1
Walking on a Balance Beam as a New Measure of Dynamic Balance to Predict Falls in Older Adults and Patients with Neurological Conditions
Tibor Hortobágyi, Tomáš Větrovský, Azusa Uematsu, et al.
Sports Medicine - Open (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 1
Lower-Extremity Intra-Joint Coordination and Its Variability between Fallers and Non-Fallers during Gait
Hassan Sadeghi, Seyed Sadredin Shojaedin, Ali Abbasi, et al.
Applied Sciences (2021) Vol. 11, Iss. 6, pp. 2840-2840
Open Access | Times Cited: 10
Measures of postural control and mobility during dual-tasking as candidate markers of instability in Huntington's disease
Lisa M. Muratori, Lori Quinn, Xueyao Li, et al.
Human Movement Science (2021) Vol. 80, pp. 102881-102881
Open Access | Times Cited: 10
Artificial neural network to classify cognitive impairment using gait and clinical variables
Yuhan Zhou, Jos van Campen, Tibor Hortobágyi, et al.
Intelligence-Based Medicine (2022) Vol. 6, pp. 100076-100076
Open Access | Times Cited: 6
Novel analytics in the management of movement disorders
Rana Zia Ur Rehman, Silvia Del Din
Elsevier eBooks (2024), pp. 67-88
Closed Access
What about the use of Wearable Sensors to assess Fall Risk in Neurological Disorders? A Systematic Review. (Preprint)
Mirjam Bonanno, Augusto Ielo, Paolo De Pasquale, et al.
(2024)
Open Access
Identifying Fallers Based on Functional Parameters: A Machine Learning Approach
Fatemeh Fahimi, William R. Taylor, Roswitha Dietzel, et al.
2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) (2021) Vol. 12, pp. 1-6
Open Access | Times Cited: 4
Age-related Gait Patterns Classification Using Deep Learning Based on Time-series Data from One Accelerometer
Xiaoping Zheng, Elisabeth Wilhelm, Michiel F. Reneman, et al.
(2023)
Open Access | Times Cited: 1
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