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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:

Automatically Evaluating Balance: A Machine Learning Approach
Tian Bao, Brooke N Klatt, Susan L. Whitney, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 27, Iss. 2, pp. 179-186
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

IoT-Enabled Fault Prediction and Maintenance for Smart Charging Piles
Hongyan Dui, Xinghui Dong, Liwei Chen, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 23, pp. 21061-21075
Closed Access | Times Cited: 26
Recent Advances in the Application of Artificial Intelligence in Otorhinolaryngology-Head and Neck Surgery
Bayu Adhi Tama, Do Hyun Kim, Gyuwon Kim, et al.
Clinical and Experimental Otorhinolaryngology (2020) Vol. 13, Iss. 4, pp. 326-339
Open Access | Times Cited: 53
Detecting Elderly Behaviors Based on Deep Learning for Healthcare: Recent Advances, Methods, Real-World Applications and Challenges
Mubarak Almutairi, Lubna Abdelkareim Gabralla, S. Abubakar, et al.
IEEE Access (2022) Vol. 10, pp. 69802-69821
Open Access | Times Cited: 23
AI-driven balance evaluation: a comparative study between blind and non-blind individuals using the mini-BESTest
Milagros Jaén-Vargas, Josué Pagán, Shiyang Li, et al.
PeerJ Computer Science (2025) Vol. 11, pp. e2695-e2695
Open Access
Evaluation of human standing balance using wearable inertial sensors: A machine learning approach
Emanuele Lattanzi, Valerio Freschi
Engineering Applications of Artificial Intelligence (2020) Vol. 94, pp. 103812-103812
Closed Access | Times Cited: 29
A Machine Learning-Based Initial Difficulty Level Adjustment Method for Balance Exercise on a Trunk Rehabilitation Robot
Hosu Lee, Yunho Choi, Amre Eizad, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 1857-1866
Open Access | Times Cited: 9
Distinguishing among standing postures with machine learning-based classification algorithms
Negar Rahimi, Alireza Kamankesh, Ioannis G. Amiridis, et al.
Experimental Brain Research (2024) Vol. 243, Iss. 1
Closed Access | Times Cited: 2
Sub-graph entropy based network approaches for classifying adolescent obsessive-compulsive disorder from resting-state functional MRI
Bhaskar Sen, Gail A. Bernstein, Bryon A. Mueller, et al.
NeuroImage Clinical (2020) Vol. 26, pp. 102208-102208
Open Access | Times Cited: 17
Assessment of Balance Control Subsystems by Artificial Intelligence
Peng Ren, Sunpei Huang, Yukun Feng, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 3, pp. 658-668
Closed Access | Times Cited: 15
A novel hybrid method for direction forecasting and trading of Apple Futures
Shangkun Deng, Xiaoru Huang, Zhaohui Qin, et al.
Applied Soft Computing (2021) Vol. 110, pp. 107734-107734
Closed Access | Times Cited: 12
A Contrastive Learning Network for Performance Metric and Assessment of Physical Rehabilitation Exercises
Long Yao, Qing Lei, Hongbo Zhang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 3790-3802
Open Access | Times Cited: 4
The Use of Wearable Sensors and Machine Learning Methods to Estimate Biomechanical Characteristics During Standing Posture or Locomotion: A Systematic Review
Isabelle J. Museck, Daniel Brinton, Jesse C. Dean
Sensors (2024) Vol. 24, Iss. 22, pp. 7280-7280
Open Access | Times Cited: 1
Tiny Machine Learning for Real-Time Postural Stability Analysis
Veysi Adın, Yuxuan Zhang, Bruno Andò, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 3
Detection of Postural Control in Young and Elderly Adults Using Deep and Machine Learning Methods with Joint–Node Plots
Posen Lee, Tai‐Been Chen, Chi-Yuan Wang, et al.
Sensors (2021) Vol. 21, Iss. 9, pp. 3212-3212
Open Access | Times Cited: 7
Automatically evaluating balance using machine learning and data from a single inertial measurement unit
Fahad Kamran, Kathryn Harrold, Jonathan Zwier, et al.
Journal of NeuroEngineering and Rehabilitation (2021) Vol. 18, Iss. 1
Open Access | Times Cited: 7
Rating of perceived difficulty scale for measuring intensity of standing balance exercises in individuals with vestibular disorders
Saud F. Alsubaie, Susan L. Whitney, Joseph M. Furman, et al.
Journal of Vestibular Research (2022) Vol. 32, Iss. 6, pp. 529-540
Closed Access | Times Cited: 5
Automated assessment of balance: A neural network approach based on large-scale balance function data
Jingsong Wu, Yang Li, Lianhua Yin, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 5
Index of Physical activity and Fall Efficacy scale classification through biomechanical signals and Machine Learning.
Oswaldo Rivera, Eduardo Castillo-Castañeda, Oscar Fernando Avilés Sánchez, et al.
Journal of Engineering Research (2022)
Open Access | Times Cited: 4
Machine learning forecasting of extreme fluctuations in a human balancing task
M. Rodríguez, Esther D. Gutiérrez, Juan S. Medina Álvarez, et al.
Knowledge-Based Systems (2023) Vol. 280, pp. 111000-111000
Closed Access | Times Cited: 2
Prediction and Trading in Crude Oil Markets Using Multi-Class Classification and Multi-Objective Optimization
Shangkun Deng, Xiaoru Huang, Jiashuang Shen, et al.
IEEE Access (2019) Vol. 7, pp. 182860-182872
Open Access | Times Cited: 5
A machine learning approach to evaluate the impact of virtual balance/cognitive training on fall risk in older women
Beata Sokołowska, W Swiderski, Edyta Smolis‐Bąk, et al.
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access
Exploring Achilles Tendon Vibration Data Classification for Balance Training: A Wavelet-Based Machine Learning Approach
Xueli Ning, Young Kim, Se Dong Min, et al.
IEEE Access (2024) Vol. 12, pp. 81783-81792
Open Access
A preliminary characterization of physical therapist visual behaviors during standing balance tasks using eye tracking
Emma Nigrelli, Leia Stirling, Kathleen H. Sienko
(2024), pp. 1-4
Closed Access
THE PERFORMANCE OF SOME MACHINE LEARNING APPROACHES IN HUMAN MOVEMENT ASSESSMENT
Johan Hagelbäck, Pavlo Liapota, Alisa Lincke, et al.
(2019), pp. 35-42
Open Access | Times Cited: 3
Classifying the physical activity indicator using machine learning and direct measurements: a feasibility study
Oswaldo Rivera, Oscar Fernando Avilés Sánchez, Eduardo Castillo-Castañeda
Acta Scientiarum. Technology/Acta scientiarum. Technology (2023) Vol. 45, pp. e61317-e61317
Open Access | Times Cited: 1
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