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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:

MhNet: Multi-scale spatio-temporal hierarchical network for real-time wearable fall risk assessment of the elderly
Shibin Wu, Jianlin Ou, Lin Shu, et al.
Computers in Biology and Medicine (2022) Vol. 144, pp. 105355-105355
Closed Access | Times Cited: 19

Showing 19 citing articles:

A Systematic Review of Wearable Sensor-Based Technologies for Fall Risk Assessment in Older Adults
Manting Chen, Hailiang Wang, Lisha Yu, et al.
Sensors (2022) Vol. 22, Iss. 18, pp. 6752-6752
Open Access | Times Cited: 36
A systematic review of artificial neural network techniques for analysis of foot plantar pressure
Chongguang Wang, Kerrie Evans, Dean S. Hartley, et al.
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 1, pp. 197-208
Open Access | Times Cited: 4
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
Psychological and physiological computing based on multi-dimensional foot information
Shengyang Li, Huilin Yao, Ruotian Peng, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access
Plantar pressure and falling risk in older individuals: a cross‐sectional study
Yifeng Yan, Jianlin Ou, Hanxue Shi, et al.
Journal of Foot and Ankle Research (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 11
Functional Monitoring of Patients with Knee Osteoarthritis Based on Multi-dimensional Wearable Plantar Pressure Features: Cross-sectional Study (Preprint)
Junan Xie, Shilin Li, Zhen Song, et al.
JMIR Aging (2024) Vol. 7, pp. e58261-e58261
Open Access | Times Cited: 1
A multifactorial fall risk assessment system for older people utilizing a low-cost, markerless Microsoft Kinect
Taekyoung Kim, Xiaoqun Yu, Shuping Xiong
Ergonomics (2023) Vol. 67, Iss. 1, pp. 50-68
Open Access | Times Cited: 3
CNN-Based Self-Attention Weight Extraction for Fall Event Prediction Using Balance Test Score
Youness El Marhraoui, Stéphane Bouilland, Mehdi Boukallel, et al.
Sensors (2023) Vol. 23, Iss. 22, pp. 9194-9194
Open Access | Times Cited: 2
SFDA: Domain Adaptation With Source Subject Fusion Based on Multi-Source and Single-Target Fall Risk Assessment
Shibin Wu, Lin Shu, Zhen Song, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 4907-4920
Open Access | Times Cited: 2
A Dataset for Falling Risk Assessment of the Elderly using Wearable Plantar Pressure
Guo‐Hua Hu, Jianxiu Jin, Zhen Song, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2022), pp. 2900-2904
Closed Access | Times Cited: 3
Evaluation of falling risk and quality of life in the elderly
Ömer Faruk Tekin, Ece Arık, Muammer Yılmaz, et al.
Anadolu Kliniği Tıp Bilimleri Dergisi (2024) Vol. 29, Iss. 3, pp. 276-284
Open Access
Sensor-Based Multifaceted Feature Extraction and Ensemble Elastic Net Approach for Assessing Fall Risk in Community-Dwelling Older Adults
Xuan Wang, Lisha Yu, Hailiang Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 11, pp. 6661-6673
Closed Access
Application of wearable sensors in constructing a fall risk prediction model for community-dwelling older adults: a scoping review
Bingqing Wang, Y Liu, Aming Lu, et al.
Archives of Gerontology and Geriatrics (2024) Vol. 129, pp. 105689-105689
Closed Access
Functional Monitoring of Patients With Knee Osteoarthritis Based on Multidimensional Wearable Plantar Pressure Features: Cross-Sectional Study (Preprint)
Junan Xie, Shilin Li, Zhen Song, et al.
(2024)
Closed Access
Assessing Locomotive Syndrome Through Instrumented Five-Time Sit-to-Stand Test and Machine Learning
Iman Hosseini, Maryam Ghahramani
Sensors (2024) Vol. 24, Iss. 23, pp. 7727-7727
Open Access
A double-channel multiscale depthwise separable convolutional neural network for abnormal gait recognition
Xiaoguang Liu, Yubo Wu, Chen Meng, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 5, pp. 8049-8067
Open Access | Times Cited: 1
Real-Time Detection of Lower Limb Training Stability Function Based on Smart Wearable Sensors
Ying Zhang
Journal of Sensors (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 2
A multifactorial fall risk assessment system for older people utilizing a low-cost, markerless Microsoft Kinect
Taekyoung Kim, Xiaoqun Yu, Shuping Xiong
Research Square (Research Square) (2022)
Open Access | Times Cited: 1
From Personal Observations to Recommendation of Tailored Interventions based on Causal Reasoning: a case study of Falls Prevention in Elderly Patients
Salma Chaieb, Ali Ben Mrad, Brahim Hnich
International Journal of Medical Informatics (2022) Vol. 163, pp. 104765-104765
Closed Access
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