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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:

Automatic Berg Balance Scale assessment system based on accelerometric signals
Paweł Badura, Ewa Piętka
Biomedical Signal Processing and Control (2015) Vol. 24, pp. 114-119
Closed Access | Times Cited: 11

Showing 11 citing articles:

Wearable IMU-Based Human Activity Recognition Algorithm for Clinical Balance Assessment Using 1D-CNN and GRU Ensemble Model
Yeon-Wook Kim, Joa Kyunglim, Han-young Jeong, et al.
Sensors (2021) Vol. 21, Iss. 22, pp. 7628-7628
Open Access | Times Cited: 42
Development and validation of an automated Trunk Impairment Scale 2.0 scoring system using rule-based classification
Tay Jia Yi, Zaidi Mohd Ripin, Mohamad Ikhwan Zaini Ridzwan, et al.
Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine (2025)
Closed Access
Berg Balance Scale Scoring System for Balance Evaluation by Leveraging Attention-Based Deep Learning with Wearable IMU Sensors
Zhangli Lu, Huiying Zhou, Honghao Lv, et al.
Bioengineering (2025) Vol. 12, Iss. 4, pp. 395-395
Open Access
A learning system for automatic Berg Balance Scale score estimation
Davide Bacciu, Stefano Chessa, Claudio Gallicchio, et al.
Engineering Applications of Artificial Intelligence (2017) Vol. 66, pp. 60-74
Open Access | Times Cited: 34
On the need of machine learning as a service for the internet of things
Davide Bacciu, Stefano Chessa, Claudio Gallicchio, et al.
(2017), pp. 1-8
Closed Access | Times Cited: 19
Automatic Assessment System Based on IMUs and Machine Learning for Predicting Berg Balance Scale
Bor-Shing Lin, Zhao Zhang, Chih‐Wei Peng, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 20, pp. 19919-19930
Closed Access | Times Cited: 9
Leg movement tracking in automatic video-based one-leg stance evaluation
Jacek Kawa, Paula Stępień, Wojciech Kapko, et al.
Computerized Medical Imaging and Graphics (2017) Vol. 65, pp. 191-199
Closed Access | Times Cited: 10
Inertial data-based gait metrics correspondence to Tinetti Test and Berg Balance Scale assessments
Zuzanna Miodońska, Paula Stępień, Paweł Badura, et al.
Biomedical Signal Processing and Control (2018) Vol. 44, pp. 38-47
Closed Access | Times Cited: 7
A NEW AUTO-SCORING ALGORITHM FOR BALANCE ASSESSMENT WITH WEARABLE IMU DEVICE BASED ON NONLINEAR MODEL
Yeon Wook Kim, Woo Hyeong Cho, Kyung‐Lim Joa, et al.
Journal of Mechanics in Medicine and Biology (2020) Vol. 20, Iss. 10, pp. 2040011-2040011
Open Access | Times Cited: 6
Classification of Health Literacy and Cognitive Impairments Using Higher-Order Kinematic Parameters of the Sit-to-Stand Movement From a Monostatic Doppler Radar
Kenshi Saho, Kouki Sugano, Momoka Kita, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 8, pp. 10183-10192
Open Access | Times Cited: 6
Video-based time assessment in 360 degrees turn Berg balance test
Patrycja Romaniszyn-Kania, Jacek Kawa, Paula Stępień, et al.
Computerized Medical Imaging and Graphics (2019) Vol. 80, pp. 101689-101689
Closed Access | Times Cited: 2
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