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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:

A smartphone-based online system for fall detection with alert notifications and contextual information of real-life falls
Yaar Harari, Nicholas Shawen, Chaithanya K. Mummidisetty, et al.
Journal of NeuroEngineering and Rehabilitation (2021) Vol. 18, Iss. 1
Open Access | Times Cited: 23

Showing 23 citing articles:

Smartphones and Threshold-Based Monitoring Methods Effectively Detect Falls Remotely: A Systematic Review
Ricardo A. Torres‐Guzman, Margaret R. Paulson, Francisco R. Ávila, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1323-1323
Open Access | Times Cited: 17
A Real-Time Arm-Worn Sensor-Based Human Fall Alert Notification Model for Efficient Daily Activity Recognition
Anurag De, C. Mugesh, Battula Lalitesh, et al.
Lecture notes in networks and systems (2025), pp. 329-338
Closed Access
Smartphone-based devices for healthcare monitoring and management
Karthik Raj Konnaiyan, Arsenii Zhdanov
Elsevier eBooks (2025), pp. 329-344
Closed Access
Near-Fall Detection in Unexpected Slips during Over-Ground Locomotion with Body-Worn Sensors among Older Adults
Shuaijie Wang, Fábio Miranda, Yiru Wang, et al.
Sensors (2022) Vol. 22, Iss. 9, pp. 3334-3334
Open Access | Times Cited: 12
An analytical comparison of datasets of Real-World and simulated falls intended for the evaluation of wearable fall alerting systems
E. Casilari, Carlos A. Silva
Measurement (2022) Vol. 202, pp. 111843-111843
Open Access | Times Cited: 12
Disturbance Propagation Model of Pedestrian Fall Behavior in a Pedestrian Crowd and Elimination Mechanism Analysis
Cuiling Li, Rongyong Zhao, Yan Wang, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 2, pp. 1519-1529
Closed Access | Times Cited: 7
LightAnomalyNet: A Lightweight Framework for Efficient Abnormal Behavior Detection
Abid Mehmood
Sensors (2021) Vol. 21, Iss. 24, pp. 8501-8501
Open Access | Times Cited: 16
Automated Fall Detection for Disabled Individuals Using Mobile Phone Sensors and Machine Learning: A Survey
Asma Abdallah Nasser Al-Risi, Shamsa Salim Mattar Albadi, Shima Hamdan Said Almaamari, et al.
International Journal of Data Informatics and Intelligent Computing (2024) Vol. 3, Iss. 2, pp. 27-33
Open Access | Times Cited: 1
A survey for characterizing details of fall events experienced by lower limb prosthesis users
Andrew Sawers, Cody L. McDonald, Brian J. Hafner
PLoS ONE (2022) Vol. 17, Iss. 7, pp. e0272082-e0272082
Open Access | Times Cited: 4
Fall Detection Algorithm Using a Smart Wearable System for Remote Health Monitoring
Abdelrahman Fawaz, Moaz Elsayed, Ahmed Sharshar, et al.
Proceedings of the World Congress on New Technologies (2023)
Open Access | Times Cited: 2
Development of a Novel Plantar Pressure Insole and Inertial Sensor System for Daily Activity Classification and Fall Detection
Bingfei Fan, Fugang Yi, Shuo Yang, et al.
Lecture notes in computer science (2023), pp. 265-278
Closed Access | Times Cited: 2
Development of a Smart Wearable Device for Fall and Slip Detection and Warning for the Elderly People
Thành Tâm Nguyên, Tung Thanh Nguyen
JST Smart Systems and Devices (2024) Vol. 34, Iss. 2, pp. 35-43
Open Access
Fire Hawks Optimizer with hybrid deep learning driven fall detection on multimodal sensor data
K. Durga Bhavani, M. Ferni Ukrit
Multimedia Tools and Applications (2024)
Closed Access
Comparison of professional and everyday wearable technology at different body positions in terms of recording gait perturbations
Lea Feld, Lena Schell-Majoor, Sandra Hellmers, et al.
PLOS Digital Health (2024) Vol. 3, Iss. 8, pp. e0000553-e0000553
Open Access
A Lightweight Wearable Fall Detection System using Gait Analysis for Elderly
N. Anitha, Vishnu Vardhan R B, R Pradeep, et al.
(2024), pp. 539-545
Closed Access
Comparative assessment of multimodal sensor data quality collected using Android and iOS smartphones in real-world settings
Ramzi Halabi, Rahavi Selvarajan, Zixiong Lin, et al.
Research Square (Research Square) (2024)
Open Access
Comparative Assessment of Multimodal Sensor Data Quality Collected Using Android and iOS Smartphones in Real-World Settings
Ramzi Halabi, Rahavi Selvarajan, Zixiong Lin, et al.
Sensors (2024) Vol. 24, Iss. 19, pp. 6246-6246
Open Access
Implementing Automatic Fall Detection Through the Utilization of Mobile Sensors and Deep Learning Technology
P. Sinthia, Shahil Kumar, R. Monish Kumar
Lecture notes in networks and systems (2024), pp. 221-230
Closed Access
Fall Detection
Jakub Wagner, Paweł Mazurek, Roman Z. Morawski
Health information science (2022), pp. 259-283
Closed Access | Times Cited: 1
A Fall Detection Algorithm for Thigh mounted Smartphones using Random Forest and Feature Selection Techniques
Rida Maryam, Ahsan Shahzad, Mariam Bashir, et al.
(2022), pp. 48-53
Closed Access | Times Cited: 1
A A Context-Aware Human Distress Alert System for Safety from Interpersonal Violence Using Smartphone Sensors
Dimple T. Ogunbiyi, Ibrahim K. Ogundoyin, Caleb O. Akanbi
FUOYE Journal of Engineering and Technology (2023) Vol. 8, Iss. 1
Open Access
Cyclist Fall Detection System via the Internet of Things (IoT)
Tam Jun Kit, Sarah Atifah Saruchi, Nurhaffizah Hassan, et al.
International Journal of Computing and Digital Systems (2023) Vol. 13, Iss. 1, pp. 1025-1033
Open Access
Using smart devices for fall detection: algorithms, systems and applications
Valeriu Manuel Ionescu, Florentina Magda Enescu
2022 14th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) (2022), pp. 1-6
Closed Access
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