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:

Biometric User Identification Based on Human Activity Recognition Using Wearable Sensors: An Experiment Using Deep Learning Models
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Electronics (2021) Vol. 10, Iss. 3, pp. 308-308
Open Access | Times Cited: 169

Showing 26-50 of 169 citing articles:

The Innovation of Ideological and Political Education Integrating Artificial Intelligence Big Data with the Support of Wireless Network
Gang Du, Yufeng Sun, Yue Zhao
Applied Artificial Intelligence (2023) Vol. 37, Iss. 1
Open Access | Times Cited: 11
A Survey on Machine Learning Techniques for Recognizing Human Activities Using Smartphone Data
Prodipto Das, Tonjam Rahul Singh
Communications in computer and information science (2025), pp. 278-304
Closed Access
Human activity recognition using a bagging-based deep learning framework with convolutional capsule networks and spiking neural networks
Moola Ramu, Ashraf Hossain, Ch. Rajendra Prasad
International Journal of Information Technology (2025)
Closed Access
A Deep Multi-Task Learning Network for Activity Recognition and User Identification Using Smartphone Sensors
Sakorn Mekruksavanich, Wikanda Phaphan, Anuchit Jitpattanakul
Procedia Computer Science (2025) Vol. 256, pp. 1350-1357
Open Access
Continual learning in inertial measurement unit-based human activity recognition with user-centric class-incremental learning scenario
Suguru Kanoga, Yuya Tsukiji, Ryo Karakida
Expert Systems with Applications (2025) Vol. 280, pp. 127469-127469
Open Access
Fall Detection from Smart Wearable Sensors using Deep Convolutional Neural Network with Squeeze-and-Excitation Module
Sakorn Mekruksavanich, Ponnipa Jantawong, Adisaya Charoenphol, et al.
(2021), pp. 448-453
Closed Access | Times Cited: 27
Human Activity Recognition Based on Two-Channel Residual–GRU–ECA Module with Two Types of Sensors
Xun Wang, Jie Shang
Electronics (2023) Vol. 12, Iss. 7, pp. 1622-1622
Open Access | Times Cited: 10
Deep SE-BiLSTM with IFPOA Fine-Tuning for Human Activity Recognition Using Mobile and Wearable Sensors
Shaik Jameer, Hussain Syed
Sensors (2023) Vol. 23, Iss. 9, pp. 4319-4319
Open Access | Times Cited: 10
Human IoT Interaction Approach for Modeling Human Walking Patterns Using Two-Dimensional Levy Walk Distribution
Tajim Md. Niamat Ullah Akhund, Waleed M. Al-Nuwaiser
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 6
Open Access | Times Cited: 3
Deep learning-based system for prediction of work at height in construction site
İbrahim Karataş
Heliyon (2025) Vol. 11, Iss. 2, pp. e41779-e41779
Open Access
Balancing Privacy and Utility in Multivariate Time-Series Classification
Adrian-Silviu Roman, Béla Genge, Piroska Haller
Lecture notes in computer science (2025), pp. 124-136
Closed Access
Detecting Equine Gaits Through Rider-Worn Accelerometers
Jorn Schampheleer, Anniek Eerdekens, Wout Joseph, et al.
Animals (2025) Vol. 15, Iss. 8, pp. 1080-1080
Open Access
Intelligent recognition of human activities using deep learning techniques
Shazab Bashir, Arfan Jaffar, Muhammad Rashid, et al.
PLoS ONE (2025) Vol. 20, Iss. 4, pp. e0321754-e0321754
Open Access
Location-based Daily Human Activity Recognition using Hybrid Deep Learning Network
Sakorn Mekruksavanich, Chanon Promsakon, Anuchit Jitpattanakul
(2021), pp. 1-5
Closed Access | Times Cited: 22
Explaining One-Dimensional Convolutional Models in Human Activity Recognition and Biometric Identification Tasks
Gustavo Aquino, M. G. F. Costa, Cícero Ferreira Fernandes Costa Filho
Sensors (2022) Vol. 22, Iss. 15, pp. 5644-5644
Open Access | Times Cited: 15
Sleeping Abnormalities Detection using Deep Learning Techniques
M. Murugesan, V Abirami, M Iswarya, et al.
(2023) Vol. 31, pp. 1283-1289
Closed Access | Times Cited: 9
In-depth analysis of design & development for sensor-based human activity recognition system
Nurul Amin Choudhury, Badal Soni
Multimedia Tools and Applications (2023) Vol. 83, Iss. 29, pp. 73233-73272
Closed Access | Times Cited: 8
Privacy and biometrics for smart healthcare systems: attacks, and techniques
Alec Wells, Aminu K. Bello
Information Security Journal A Global Perspective (2023) Vol. 33, Iss. 3, pp. 307-331
Open Access | Times Cited: 8
Real-Time Human Activity Recognition on Embedded Equipment: A Comparative Study
Houda Najeh, Christophe Lohr, Benoît Leduc
Applied Sciences (2024) Vol. 14, Iss. 6, pp. 2377-2377
Open Access | Times Cited: 3
Sensor-based Complex Human Activity Recognition from Smartwatch Data using Hybrid Deep Learning Network
Sakorn Mekruksavanich, Anuchit Jitpattanakul
2022 37th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC) (2021), pp. 1-4
Closed Access | Times Cited: 19
Technological Innovations for Tackling Domestic Violence
Abbas Z. Kouzani
IEEE Access (2023) Vol. 11, pp. 91293-91311
Open Access | Times Cited: 7
Wearable devices as a valid support for diagnostic excellence: lessons from a pandemic going forward
Gloria Cosoli, Lorenzo Scalise, Angelica Poli, et al.
Health and Technology (2021) Vol. 11, Iss. 3, pp. 673-675
Open Access | Times Cited: 17
BioECG: Improving ECG Biometrics with Deep Learning and Enhanced Datasets
Paloma Tirado-Martin, Raúl Sánchez-Reillo
Applied Sciences (2021) Vol. 11, Iss. 13, pp. 5880-5880
Open Access | Times Cited: 17
Enhancement of Human Complex Activity Recognition using Wearable Sensors Data with InceptionTime Network
Ponnipa Jantawong, Anuchit Jitpattanakul, Sakorn Mekruksavanich
(2021), pp. 12-16
Closed Access | Times Cited: 17
Identifying Smartphone Users Based on Activities in Daily Living Using Deep Neural Networks
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Information (2024) Vol. 15, Iss. 1, pp. 47-47
Open Access | Times Cited: 2

Scroll to top