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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:

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

Showing 19 citing articles:

Speech Emotion Recognition Using Deep Learning Transfer Models and Explainable Techniques
Taewan Kim, Keun-Chang Kwak
Applied Sciences (2024) Vol. 14, Iss. 4, pp. 1553-1553
Open Access | Times Cited: 7
Improving Performance and Explainability of Sensor-Based Human Activity Recognition
Sakorn Mekruksavanich, Ponnipa Jantawong, Anuchit Jitpattanakul
(2024) Vol. 7, pp. 562-566
Closed Access | Times Cited: 2
A Sensor-Based Deep Learning Approach for Recognizing Daily and Work Activities in Open Environments for Sanitation Workers
Sakorn Mekruksavanich, Ponnipa Jantawong, Wikanda Phaphan, et al.
(2024), pp. 577-581
Closed Access | Times Cited: 1
Hybrid Attention with CNN-BiLSTM and CBAM for Efficient Wearable Activity Recognition
Sakorn Mekruksavanich, Ponnipa Jantawong, Wikanda Phaphan, et al.
(2024) Vol. 17, pp. 572-576
Closed Access | Times Cited: 1
Deep Learning Approaches for HAR of Daily Living Activities Using IMU Sensors in Smart Glasses
Sakorn Mekruksavanich, Ponnipa Jantawong, Anuchit Jitpattanakul
2022 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON) (2023), pp. 474-478
Closed Access | Times Cited: 3
A Novel Deep BiGRU-ResNet Model for Human Activity Recognition using Smartphone Sensors
Sakorn Mekruksavanich, Ponnipa Jantawong, Narit Hnoohom, et al.
(2022), pp. 1-5
Closed Access | Times Cited: 5
Human Activity Recognition in Logistics Using Wearable Sensors and Deep Residual Network
Sakorn Mekruksavanich, Datchakorn Tancharoen, Anuchit Jitpattanakul
TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) (2023), pp. 194-198
Closed Access | Times Cited: 2
Exploring Elderly Activity Recognition Using Deep Learning Through Sensor-Enabled Android App Data Collection
Md. Mahmudul Haque, Abdullah Al Maruf, Ali Obeid, et al.
(2024)
Closed Access
Convolutional Neural Network with CBAM Module for Fitness Activity Recognition Using Wearable IMU Sensors
Sakorn Mekruksavanich, Ponnipa Jantawong, Wikanda Phaphan, et al.
(2024), pp. 567-571
Closed Access
Harnessing Deep Learning for Activity Recognition in Seniors' Daily Routines with Wearable Sensors
Sakorn Mekruksavanich, Wikanda Phaphan, Anuchit Jitpattanakul
(2024), pp. 164-167
Closed Access
Leveraging Residual Deep Neural Networks and Multi-Device Sensors for Heterogeneous Activity Recognition
Sakorn Mekruksavanich, Wikanda Phaphan, Anuchit Jitpattanakul
(2024), pp. 156-159
Closed Access
Detecting Face-Touching Gestures with Smartwatches and Deep Learning Networks
Sakorn Mekruksavanich, Wikanda Phaphan, Anuchit Jitpattanakul
(2024), pp. 249-252
Closed Access
Deep Learning Networks for Human Knee Abnormality Detection Based on Surface EMG Signals
Sakorn Mekruksavanich, Wikanda Phaphan, Anuchit Jitpattanakul
(2024), pp. 160-163
Closed Access
A Hybrid Deep Learning Neural Network for Recognizing Exercise Activity Using Inertial Sensor and Motion Capture System
Sakorn Mekruksavanich, Ponnipa Jantawong, Anuchit Jitpattanakul
(2023)
Closed Access | Times Cited: 1
Deep Learning Approaches for Unobtrusive Human Activity Recognition using Insole-based and Smartwatch Sensors
Narit Hnoohom, Nagorn Maitrichit, Sakorn Mekruksavanich, et al.
(2022), pp. 1-5
Closed Access | Times Cited: 1
Recognizing Stationary and Locomotion Activities using LSTM-XGB with Smartphone Sensors
Narit Hnoohom, Pitchaya Chotivatunyu, Sakorn Mekruksavanich, et al.
(2022), pp. 74-79
Closed Access | Times Cited: 1
Deep Learning Approaches for Classification of Road Types Using Wearable Sensors Embedded in Smart Glasses
Sakorn Mekruksavanich, Ponnipa Jantawong, Apiwat Witayarat, et al.
2022 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON) (2023), pp. 493-497
Closed Access
Classifying Activities of Electrical Line Workers Based on Deep Learning Approaches Using Wrist-Worn Sensor
Sakorn Mekruksavanich, Anuchit Jitpattanakul
(2023), pp. 270-274
Closed Access
Smartwatch-based Eating Detection and Cutlery Classification using a Deep Residual Network with Squeeze-and-Excitation Module
Sakorn Mekruksavanich, Ponnipa Jantawong, Anuchit Jitpattanakul
(2022), pp. 301-304
Closed Access
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