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:

Deep learning based fall detection using smartwatches for healthcare applications
Gökhan Şengül, Murat Karakaya, Sanjay Misra, et al.
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103242-103242
Closed Access | Times Cited: 54

Showing 26-50 of 54 citing articles:

An Effective Deep Learning Framework for Fall Detection: Model Development and Study Design
Jinxi Zhang, Zhen Li, Yu Liu, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e56750-e56750
Open Access | Times Cited: 1
Deep feature fusion with computer vision driven fall detection approach for enhanced assisted living safety
Wafa Almukadi, Fadwa Alrowais, Muhammad Kashif Saeed, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Improving Inertial Sensor-Based Activity Recognition in Neurological Populations
Yunus Çelik, Muhammet Fatih Aslan, Kadir Sabancı, et al.
Sensors (2022) Vol. 22, Iss. 24, pp. 9891-9891
Open Access | Times Cited: 6
Fall Detection, Wearable Sensors & Artificial Intelligence: A Short Review
Arslan Ishtiaq, Zubair Saeed, Misha Urooj Khan, et al.
JAREE (Journal on Advanced Research in Electrical Engineering) (2022) Vol. 6, Iss. 2
Open Access | Times Cited: 6
IoT-blockchain empowered Trinet: optimized fall detection system for elderly safety
Fayez Alfayez, Surbhi Bhatia
Frontiers in Bioengineering and Biotechnology (2023) Vol. 11
Open Access | Times Cited: 3
Human Activity Recognition by the Image Type Encoding Method of 3-Axial Sensor Data
Chang‐Min Kim, Woobeom Lee
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 4961-4961
Open Access | Times Cited: 2
An IoT Machine Learning Model-Based Real-Time Diagnostic and Monitoring System
Joseph Bamidele Awotunde, Sanjay Misra, Sunday Adeola Ajagbe, et al.
Lecture notes in electrical engineering (2023), pp. 789-799
Closed Access | Times Cited: 2
A novel WGF-LN based edge driven intelligence for wearable devices in human activity recognition
S. Menaka, M. Prakash, S. Neelakandan, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 2
Specific Test Design for the In-Depth Technique Analysis of Elite Karate Competitors with the Application of Kinematic Sensors
Vesna Vuković, Nenad Koropanovski, Stefan Marković, et al.
Applied Sciences (2022) Vol. 12, Iss. 16, pp. 8048-8048
Open Access | Times Cited: 4
Cross dataset non-binary fall detection using a ConvLSTM-attention network
Abbas Shah Syed, Daniel Sierra-Sosa, Anup Kumar, et al.
2022 IEEE Globecom Workshops (GC Wkshps) (2022), pp. 1068-1073
Closed Access | Times Cited: 4
Multimodal Classification Technique for Fall Detection of Alzheimer’s Patients by Integration of a Novel Piezoelectric Crystal Accelerometer and Aluminum Gyroscope with Vision Data
Mohan Gowda, Megha P. Arakeri, Vasireddy Raghu Ram Prasad
Advances in Materials Science and Engineering (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 3
Intelligent Fall Detection System based on Sensor and Image data for Elderly Monitoring
M. Shilpa Aarthi, Sujitha Juliet
2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA) (2022) Vol. 020075, pp. 1259-1265
Closed Access | Times Cited: 3
Fd-Detr: Striking the Balance between Accuracy and Speed in Fall Detection Models
Yujun Zhu, Bi Zeng, Yikai Zheng, et al.
(2024)
Closed Access
Federated Transfer Learning for Vision-Based Fall Detection
Durjoy Mistry, Moshiur Rahman Tonmoy, Md. Shahib Anower, et al.
Lecture notes in networks and systems (2024), pp. 961-975
Closed Access
Fall detection algorithm based on pyramid network and feature fusion
Jiangjiao Li, Mengqi Gao, Peng Wang, et al.
Evolving Systems (2024) Vol. 15, Iss. 5, pp. 1957-1970
Closed Access
Direction-Independent Graph-Based GCN for Fall Detection
Junjie Li, Yicun Liu, Zhongze Liu, et al.
2022 34th Chinese Control and Decision Conference (CCDC) (2024), pp. 3343-3348
Closed Access
An Effective Deep Learning Framework for Fall Detection: Model Development and Study Design (Preprint)
Jinxi Zhang, Zhen Li, Yu Liu, et al.
(2024)
Open Access
IoT-Enabled Prediction Model for Health Monitoring of College Students in Sports Using Big Data Analytics and Convolutional Neural Network
ZhaoHuai Chao, Li Yi, Min Li, et al.
Mobile Networks and Applications (2024)
Closed Access
Applications of Emerging Machine Learning Models in Healthcare Industry: A Comprehensive Review
Sanjeev Gour, Rajendra Randa
Algorithms for intelligent systems (2024), pp. 285-305
Closed Access
Deep Transfer Learning Approach in Smartwatch-Based Fall Detection Systems
Alessandro Leone, Andrea Manni, Gabriele Rescio, et al.
(2024), pp. 2-2
Open Access
A Transfer Learning Approach for an Automatic Fall Detection System Based on the Combined Use of a Smartwatch and a Smartphone
Andrea Caroppo, Andrea Manni, Gabriele Rescio, et al.
Lecture notes in bioengineering (2024), pp. 342-353
Closed Access
Impact of Varying User Characteristics on The Accuracy of Fall Prediction Algorithms Using Custom Wrist-Worn End Device
Purab Nandi, K. R. Anupama, Himanish Agarwal, et al.
(2023)
Open Access | Times Cited: 1
Design of Health Detection System for Elderly Smart Watch Based on Biosignal Acquisition
Zhu Zhu, Peixian Wang, Fuguang Wang
Journal of Sensors (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 2
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

Scroll to top