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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:

Fall Risk Prediction Using Wireless Sensor Insoles With Machine Learning
Dipak Kumar Agrawal, Wipawee Usaha, Soodkhet Pojprapai, et al.
IEEE Access (2023) Vol. 11, pp. 23119-23126
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

AI-Driven Sensing Technology: Review
Long Chen, Chenbin Xia, Zhehui Zhao, et al.
Sensors (2024) Vol. 24, Iss. 10, pp. 2958-2958
Open Access | Times Cited: 17
Fall Risk Assessment in Stroke Survivors: A Machine Learning Model Using Detailed Motion Data from Common Clinical Tests and Motor-Cognitive Dual-Tasking
Masoud Abdollahi, Ehsan Rashedi, Sonia Jahangiri, et al.
Sensors (2024) Vol. 24, Iss. 3, pp. 812-812
Open Access | Times Cited: 13
A High-Precision Fall Detection Model Based on Dynamic Convolution in Complex Scenes
Yong Qin, Wuqing Miao, Qian Chen
Electronics (2024) Vol. 13, Iss. 6, pp. 1141-1141
Open Access | Times Cited: 4
Machine Learning-Based Fatigue Level Prediction for Exoskeleton-Assisted Trunk Flexion Tasks Using Wearable Sensors
Pranav Madhav Kuber, Abhineet Rajendra Kulkarni, Ehsan Rashedi
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4563-4563
Open Access | Times Cited: 4
Sensor networks and blockchain platforms for the future healthcare
Quazi Mamun
Elsevier eBooks (2025), pp. 155-216
Closed Access
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
Predicting In‐Hospital Fall Risk Using Machine Learning With Real‐Time Location System and Electronic Medical Records
Dong Won Kim, Ji-Hoon Seo, Sujin Kwon, et al.
Journal of Cachexia Sarcopenia and Muscle (2025) Vol. 16, Iss. 1
Open Access
Mobile health (mHealth) technologies for fall prevention among older adults in low-middle income countries: bibliometrics, network analysis and integrative review
Michael Joseph S. Diño, Ladda Thiamwong, Rui Xie, et al.
Frontiers in Digital Health (2025) Vol. 7
Open Access
Secure Your Steps: A Class-Based Ensemble Framework for Real-Time Fall Detection Using Deep Neural Networks
Md. Mohsin Kabir, Jungpil Shin, M. F. Mridha
IEEE Access (2023) Vol. 11, pp. 64097-64113
Open Access | Times Cited: 6
AI-Based Task Classification With Pressure Insoles for Occupational Safety
P. A. O’SULLIVAN, Matteo Menolotto, Andrea Visentin, et al.
IEEE Access (2024) Vol. 12, pp. 21347-21357
Open Access | Times Cited: 1
Enhancing fall prediction in the elderly people using LBP features and transfer learning model
Muhammad Umer, Aisha Ahmed Alarfaj, Ebtisam Alabdulqader, et al.
Image and Vision Computing (2024) Vol. 145, pp. 104992-104992
Closed Access | Times Cited: 1
Accelerometer-based fall risk prediction in elderly using machine learning: Effect of feature combination and balanced dataset
CHAIDECH ANGSUWAN, Dipak Kumar Agrawal, Wipawee Usaha, et al.
Procedia Computer Science (2024) Vol. 235, pp. 326-334
Open Access | Times Cited: 1
Leveraging Smartphone Sensor Data and Machine Learning Model for Human Activity Recognition and Fall Classification
Dipak Kumar Agrawal, Siba K. Udgata, Wipawee Usaha
Procedia Computer Science (2024) Vol. 235, pp. 1980-1989
Open Access | Times Cited: 1
Predicting Perceived Back Fatigue During Exoskeleton Supported Trunk Bending Tasks using Machine Learning
Pranav Madhav Kuber, Abhineet Rajendra Kulkarni, Ehsan Rashedi
Proceedings of the Human Factors and Ergonomics Society Annual Meeting (2024)
Closed Access | Times Cited: 1
Advanced Dynamic Centre of Pressure Diagnostics with Smart Insoles: Comparison of Diabetic and Healthy Persons for Diagnosing Diabetic Peripheral Neuropathy
Franz Konstantin Fuss, Adin Ming Tan, Yehuda Weizman
Bioengineering (2024) Vol. 11, Iss. 12, pp. 1241-1241
Open Access | Times Cited: 1
Nonextensive Entropy Application On Detrended Force Sensor Data to Feature Balance Disorder of Patients with Vestibular System Dysfunction
Harun Yaşar Köse, Serhat İkizoğlu
(2023)
Open Access | Times Cited: 2
Comfort Prediction Method for Wearable Devices: Current Progress and Future Direction
Wei‐Yu Lin, Ziwei Chen
Advances in Engineering Technology Research (2024) Vol. 9, Iss. 1, pp. 868-868
Open Access
Combining real data and expert knowledge to build a Bayesian Network — Application to assess multiple risk factors for fall among elderly people
Gulshan Sihag, Véronique Delcroix, Emmanuelle Grislin-Le Strugeon, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124106-124106
Closed Access
Wireless Sensor Network Based Home Elderly Care Medical Detection System using Deep Learning Model
Long Wang, Chao Kong
(2024), pp. 1-4
Closed Access
Fall Risk Assessment Using Single IMU
Iman Hosseini, Raul Fernandez Rojas, Maryam Ghahramani
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2024), pp. 1-6
Closed Access
A Decision Support System for Matching Users and Fall Risk Detection Technology
Manila Caragiuli, Agnese Brunzini, Chiara Massera, et al.
Lecture notes in computer science (2024), pp. 176-193
Closed Access
Deep Learning for Enhanced Risk Assessment in Home Environments
Javier Rodriguez-Juan, David Ortiz-Perez, Jose Garcia-Rodriguez, et al.
Lecture notes in computer science (2024), pp. 85-94
Closed Access
Assistive Technology for Real-Time Fall Prevention during Walking: Evaluation of the Effect of an Intelligent Foot Orthosis
R. Yamamoto, Sho Itami, Masashi Kawabata, et al.
Journal of Engineering and Science in Medical Diagnostics and Therapy (2024) Vol. 8, Iss. 1
Closed Access
Development of Intelligent Healthcare Monitoring System using Machine Learning Model
Tanima Bhowmik, Debajyoti Mitra, Pratyusha Chatterjee, et al.
(2024), pp. 1-6
Closed Access
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