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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:

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

Showing 1-25 of 27 citing articles:

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
FallNeXt: A Deep Residual Model based on Multi-Branch Aggregation for Sensor-based Fall Detection
Sakorn Mekruksavanich, Anuchit Jitpattanakul
ECTI Transactions on Computer and Information Technology (ECTI-CIT) (2022) Vol. 16, Iss. 4, pp. 352-364
Open Access | Times Cited: 31
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
Enhancing Clinical Activity Recognition with Bidirectional RNNs and Accelerometer-ECG Fusion
Sakorn Mekruksavanich, Ponnipa Jantawong, Anuchit Jitpattanakul
(2024), pp. 1-4
Closed Access | Times Cited: 1
Wearable Fall Detection Based on Motion Signals Using Hybrid Deep Residual Neural Network
Sakorn Mekruksavanich, Ponnipa Jantawong, Narit Hnoohom, et al.
Lecture notes in computer science (2022), pp. 216-224
Closed Access | Times Cited: 6
Efficient Recognition of Complex Human Activities Based on Smartwatch Sensors Using Deep Pyramidal Residual Network
Sakorn Mekruksavanich, Anuchit Jitpattanakul
(2023), pp. 229-233
Closed Access | Times Cited: 3
Wearable-based Activity Recognition of Construction Workers using LSTM Neural Networks
Sakorn Mekruksavanich, Ponnipa Jantawong, Narit Hnoohom, et al.
2022 37th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC) (2022), pp. 1-4
Closed Access | Times Cited: 5
Automatic Fall Detection using Deep Neural Networks with Aggregated Residual Transformation
Sakorn Mekruksavanich, Ponnipa Jantawong, Narit Hnoohom, et al.
2022 37th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC) (2022), pp. 811-814
Closed Access | Times Cited: 4
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: 2
Improving EEG-Based Epileptic Seizures Detection Using Self-Normalizing Neural Network
Sakorn Mekruksavanich, Ponnipa Jantawong, Anuchit Jitpattanakul
(2023)
Closed Access | Times Cited: 2
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
Pre-Impact Fall Detection Based on Wearable Inertial Sensors using Hybrid Deep Residual Neural Network
Sakorn Mekruksavanich, Ponnipa Jantawong, Anuchit Jitpattanakul
(2022), pp. 450-453
Closed Access | Times Cited: 3
Optimized Fall Detection Algorithm with Adaptive Sum Vector Magnitude and Axis-Weighted Features from Wearable Accelerometer Data
R. Jansi, M. Logeshwari, M. M. Pavikars
Lecture notes in networks and systems (2024), pp. 205-212
Closed Access
A Hybrid Residual CNN with Channel Attention Mechanism for Continuous User Identification Using Wearable Motion Sensors
Sakorn Mekruksavanich, Wikanda Phaphan, Anuchit Jitpattanakul
(2024), pp. 143-146
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
Comparison of Different Deep Learning Networks to Classify Epilepsy Seizure Based on EEG Signals
Sakorn Mekruksavanich, Ponnipa Jantawong, Anuchit Jitpattanakul
(2024), pp. 1-4
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
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
Gym Exercise Recognition Using Deep Convolutional and LSTM Neural Network Based on IMU Sensor Data
Sakorn Mekruksavanich, Datchakorn Tancharoen, Anuchit Jitpattanakul
(2024), pp. 1-5
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
Physique- Based Human Activity Recognition Using Deep Learning Approaches and Smartphone Sensors
Sakkayaphop Pravesjit, Ponnipa Jantawong, Anuchit Jitpattanakul, 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. 479-482
Closed Access
Deep Residual Neural Network for Aggressive Physical Activity Recognition Using Surface Electromyography Sensors
Sakorn Mekruksavanich, Anuchit Jitpattanakul
(2023), pp. 175-178
Closed Access
A Lightweight Deep Residual Network for Recognizing Activities in Daily Living Using Channel State Information
Sakorn Mekruksavanich, Anuchit Jitpattanakul
(2023), pp. 171-174
Closed Access
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