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:

Quantitative Assessment of Balance Impairment for Fall-Risk Estimation Using Wearable Triaxial Accelerometer
Ahsan Shahzad, Seung-uk Ko, Samgyu Lee, et al.
IEEE Sensors Journal (2017) Vol. 17, Iss. 20, pp. 6743-6751
Closed Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Research of Fall Detection and Fall Prevention Technologies: A Systematic Review
Lingmei Ren, Yanjun Peng
IEEE Access (2019) Vol. 7, pp. 77702-77722
Open Access | Times Cited: 201
Fall detection and fall risk assessment in older person using wearable sensors: A systematic review
Patrícia Bet, Paula Costa Castro, Moacir Antonelli Ponti
International Journal of Medical Informatics (2019) Vol. 130, pp. 103946-103946
Closed Access | Times Cited: 139
FallDroid: An Automated Smart-Phone-Based Fall Detection System Using Multiple Kernel Learning
Ahsan Shahzad, Kiseon Kim
IEEE Transactions on Industrial Informatics (2018) Vol. 15, Iss. 1, pp. 35-44
Closed Access | Times Cited: 122
Use of Wearable Sensor Technology in Gait, Balance, and Range of Motion Analysis
Steven Díaz, J. Stephenson, Miguel A. Labrador
Applied Sciences (2019) Vol. 10, Iss. 1, pp. 234-234
Open Access | Times Cited: 103
Fifteen Years of Wireless Sensors for Balance Assessment in Neurological Disorders
Alessandro Zampogna, Ilaria Mileti, Eduardo Palermo, et al.
Sensors (2020) Vol. 20, Iss. 11, pp. 3247-3247
Open Access | Times Cited: 90
Vision-Based Fall Event Detection in Complex Background Using Attention Guided Bi-Directional LSTM
Yong Chen, Weitong Li, Lu Wang, et al.
IEEE Access (2020) Vol. 8, pp. 161337-161348
Open Access | Times Cited: 68
Analyzing the Use of Accelerometers as a Method of Early Diagnosis of Alterations in Balance in Elderly People: A Systematic Review
Raquel Leirós‐Rodríguez, José Luis García Soidán, Vicente Romo-Pérez
Sensors (2019) Vol. 19, Iss. 18, pp. 3883-3883
Open Access | Times Cited: 58
A Deep Learning Approach Towards Railway Safety Risk Assessment
Hamad Alawad, Sakdirat Kaewunruen, Min An
IEEE Access (2020) Vol. 8, pp. 102811-102832
Open Access | Times Cited: 54
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
Fall Risk Assessment Using Wearable Sensors: A Narrative Review
R. Ferreira, Nuno Ferrete Ribeiro, Cristina P. Santos
Sensors (2022) Vol. 22, Iss. 3, pp. 984-984
Open Access | Times Cited: 30
A review of wearable sensors based fall-related recognition systems
Jiawei Liu, Xiaohu Li, Shanshan Huang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105993-105993
Closed Access | Times Cited: 21
Identifying sensors-based parameters associated with fall risk in community-dwelling older adults: an investigation and interpretation of discriminatory parameters
Xuan Wang, Junjie Cao, Qizheng Zhao, et al.
BMC Geriatrics (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 6
Fall Monitoring for the Elderly Using Wearable Inertial Measurement Sensors on Eyeglasses
Chih‐Lung Lin, Wen-Ching Chiu, Fu‐Hsing Chen, et al.
IEEE Sensors Letters (2020) Vol. 4, Iss. 6, pp. 1-4
Closed Access | Times Cited: 41
Innovative Head-Mounted System Based on Inertial Sensors and Magnetometer for Detecting Falling Movements
Chih‐Lung Lin, Wen-Ching Chiu, Ting-Ching Chu, et al.
Sensors (2020) Vol. 20, Iss. 20, pp. 5774-5774
Open Access | Times Cited: 35
eHealth for Addressing Balance Disorders in the Elderly: Systematic Review
Andrea Gašpar, Luís Velez Lapão
Journal of Medical Internet Research (2021) Vol. 23, Iss. 4, pp. e22215-e22215
Open Access | Times Cited: 28
Objective estimation of m-CTSIB balance test scores using wearable sensors and machine learning
Marjan Nassajpour, Mustafa Shuqair, Amie Rosenfeld, et al.
Frontiers in Digital Health (2024) Vol. 6
Open Access | Times Cited: 3
Using the VERT wearable device to monitor jumping loads in elite volleyball athletes
Faraz Damji, Kerry MacDonald, Michael A. Hunt, et al.
PLoS ONE (2021) Vol. 16, Iss. 1, pp. e0245299-e0245299
Open Access | Times Cited: 21
Assessing elderly’s functional balance and mobility via analyzing data from waist-mounted tri-axial wearable accelerometers in timed up and go tests
Lisha Yu, Yang Zhao, Hailiang Wang, et al.
BMC Medical Informatics and Decision Making (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 21
Bluetooth-Low-Energy-Based Fall Detection and Warning System for Elderly People in Nursing Homes
Nick De Raeve, Adnan Shahid, Matthias de Schepper, et al.
Journal of Sensors (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 15
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
Exploring inertial sensor-based balance biomarkers for early detection of mild cognitive impairment
Mobeena Jamshed, Ahsan Shahzad, Farhan Riaz, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
A Novel Approach for Fall Risk Prediction Using the Inertial Sensor Data From the Timed-Up-and-Go Test in a Community Setting
Yu‐Cheng Hsu, Yang Zhao, Hui‐Kuang Huang, et al.
IEEE Sensors Journal (2020) Vol. 20, Iss. 16, pp. 9339-9350
Closed Access | Times Cited: 19
Multiscale Entropy Analysis of Postural Stability for Estimating Fall Risk via Domain Knowledge of Timed-Up-And-Go Accelerometer Data for Elderly People Living in a Community
Chi-Han Wu, Chia-Hsuan Lee, Bernard C. Jiang, et al.
Entropy (2019) Vol. 21, Iss. 11, pp. 1076-1076
Open Access | Times Cited: 16
Feasibility of Using Floor Vibration to Detect Human Falls
Yu Shao, Xinyue Wang, Wenjie Song, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 18, Iss. 1, pp. 200-200
Open Access | Times Cited: 15
Estimating Postural Stability Using Improved Permutation Entropy via TUG Accelerometer Data for Community-Dwelling Elderly People
Chia-Hsuan Lee, Shih-Hai Chen, Bernard C. Jiang, et al.
Entropy (2020) Vol. 22, Iss. 10, pp. 1097-1097
Open Access | Times Cited: 13
Page 1 - Next Page

Scroll to top