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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:

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 1-25 of 169 citing articles:

LSTM Networks Using Smartphone Data for Sensor-Based Human Activity Recognition in Smart Homes
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Sensors (2021) Vol. 21, Iss. 5, pp. 1636-1636
Open Access | Times Cited: 244
Human Activity Recognition: Review, Taxonomy and Open Challenges
Muhammad Haseeb Arshad, Muhammad Bilal, Abdullah Gani
Sensors (2022) Vol. 22, Iss. 17, pp. 6463-6463
Open Access | Times Cited: 81
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey
Navid Mohammadi Foumani, Lynn Miller, Chang Wei Tan, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 9, pp. 1-45
Open Access | Times Cited: 54
Deep Convolutional Neural Network with RNNs for Complex Activity Recognition Using Wrist-Worn Wearable Sensor Data
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Electronics (2021) Vol. 10, Iss. 14, pp. 1685-1685
Open Access | Times Cited: 99
Deep Learning Approaches for Continuous Authentication Based on Activity Patterns Using Mobile Sensing
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Sensors (2021) Vol. 21, Iss. 22, pp. 7519-7519
Open Access | Times Cited: 75
ResNet-SE: Channel Attention-Based Deep Residual Network for Complex Activity Recognition Using Wrist-Worn Wearable Sensors
Sakorn Mekruksavanich, Anuchit Jitpattanakul, Kanokwan Sitthithakerngkiet, et al.
IEEE Access (2022) Vol. 10, pp. 51142-51154
Open Access | Times Cited: 64
A Trust Management Model for IoT Devices and Services Based on the Multi-Criteria Decision-Making Approach and Deep Long Short-Term Memory Technique
Yara Alghofaili, Murad A. Rassam
Sensors (2022) Vol. 22, Iss. 2, pp. 634-634
Open Access | Times Cited: 49
Deep Residual Network for Smartwatch-Based User Identification through Complex Hand Movements
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Sensors (2022) Vol. 22, Iss. 8, pp. 3094-3094
Open Access | Times Cited: 46
CNN-Based Deep Learning Network for Human Activity Recognition During Physical Exercise from Accelerometer and Photoplethysmographic Sensors
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Lecture notes on data engineering and communications technologies (2022), pp. 531-542
Closed Access | Times Cited: 43
Improved wolf swarm optimization with deep-learning-based movement analysis and self-regulated human activity recognition
Tamilvizhi Thanarajan, Youseef Alotaibi, Surendran Rajendran, et al.
AIMS Mathematics (2023) Vol. 8, Iss. 5, pp. 12520-12539
Open Access | Times Cited: 32
Challenges and Opportunities of Biometric User Authentication in the Age of IoT: A Survey
Chi-Wei Lien, Sudip Vhaduri
ACM Computing Surveys (2023) Vol. 56, Iss. 1, pp. 1-37
Open Access | Times Cited: 30
IoT trust and reputation: a survey and taxonomy
Muhammad Aaqib, Aftab Ali, Liming Chen, et al.
Journal of Cloud Computing Advances Systems and Applications (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 24
Machine learning and deep learning for user authentication and authorization in cybersecurity: A state-of-the-art review
Zinniya Taffannum Pritee, Mehedi Hasan Anik, Saida Binta Alam, et al.
Computers & Security (2024) Vol. 140, pp. 103747-103747
Closed Access | Times Cited: 12
Recurrent Neural Network for Human Activity Recognition in Embedded Systems Using PPG and Accelerometer Data
Michele Alessandrini, Giorgio Biagetti, Paolo Crippa, et al.
Electronics (2021) Vol. 10, Iss. 14, pp. 1715-1715
Open Access | Times Cited: 50
A Multichannel CNN-LSTM Network for Daily Activity Recognition using Smartwatch Sensor Data
Sakorn Mekruksavanich, Anuchit Jitpattanakul
(2021), pp. 277-280
Closed Access | Times Cited: 42
Physical Activity Recognition Based on Deep Learning Using Photoplethysmography and Wearable Inertial Sensors
Narit Hnoohom, Sakorn Mekruksavanich, Anuchit Jitpattanakul
Electronics (2023) Vol. 12, Iss. 3, pp. 693-693
Open Access | Times Cited: 21
WISNet: A deep neural network based human activity recognition system
H. Sharen, L. Jani Anbarasi, P. Rukmani, et al.
Expert Systems with Applications (2024) Vol. 258, pp. 124999-124999
Open Access | Times Cited: 6
Recognition of Real-life Activities with Smartphone Sensors using Deep Learning Approaches
Sakorn Mekruksavanich, Anuchit Jitpattanakul
(2021), pp. 243-246
Closed Access | Times Cited: 38
A Deep Learning-based Model for Human Activity Recognition using Biosensors embedded into a Smart Knee Bandage
Sakorn Mekruksavanich, Ponnipa Jantawong, Anuchit Jitpattanakul
Procedia Computer Science (2022) Vol. 214, pp. 621-627
Open Access | Times Cited: 25
Human Activity Recognition Using Machine Learning Algorithms Based on IMU Data
Nafiseh Ghaffar Nia, Erkan Kaplanoğlu, Ahad Nasab, et al.
(2023)
Closed Access | Times Cited: 13
Image expression of time series data of wearable IMU sensor and fusion classification of gymnastics action
Yuliang Zhao, F Dong, Tianang Sun, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121978-121978
Closed Access | Times Cited: 13
Deep Learning Approach for Complex Activity Recognition using Heterogeneous Sensors from Wearable Device
Narit Hnoohom, Anuchit Jitpattanakul, Ilsun You, et al.
(2021), pp. 60-65
Closed Access | Times Cited: 32
A new approach for physical human activity recognition from sensor signals based on motif patterns and long-short term memory
Fatma KUNCAN, Yılmaz Kaya, Züleyha Yiner, et al.
Biomedical Signal Processing and Control (2022) Vol. 78, pp. 103963-103963
Closed Access | Times Cited: 19
Deep learning models for real-life human activity recognition from smartphone sensor data
Daniel Garcia-Gonzalez, Daniel Rivero, Enrique Fernández-Blanco, et al.
Internet of Things (2023) Vol. 24, pp. 100925-100925
Open Access | Times Cited: 13
A Dynamic Trust-Related Attack Detection Model for IoT Devices and Services Based on the Deep Long Short-Term Memory Technique
Yara Alghofaili, Murad A. Rassam
Sensors (2023) Vol. 23, Iss. 8, pp. 3814-3814
Open Access | Times Cited: 11
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