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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:

Badminton Activity Recognition and Player Assessment based on Motion Signals using Deep Residual Network
Sakorn Mekruksavanich, Ponnipa Jantawong, Narit Hnoohom, et al.
(2022)
Closed Access | Times Cited: 13

Showing 13 citing articles:

MultiSenseBadminton: Wearable Sensor–Based Biomechanical Dataset for Evaluation of Badminton Performance
Minwoo Seong, Gwangbin Kim, Dohyeon Yeo, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 9
Footstep Localization on Badminton Court with Vibration Signals: A Pilot Study
Tiantian Yang, Wei Wang, Wenfa Yan, et al.
Electronics (2025) Vol. 14, Iss. 2, pp. 289-289
Open Access
Using artificial intelligence-enhanced video feedback for reflective practice in coach development: benefits and potential drawbacks
James Bridgeman, Andrea Giráldez Hayes
Coaching An International Journal of Theory Research and Practice (2023) Vol. 17, Iss. 1, pp. 32-49
Open Access | Times Cited: 7
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
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
Badminton Action Recognition and Detection using Artificial Intelligence and Neural Network Technology
Ling Yu
(2023), pp. 501-506
Closed Access | Times Cited: 2
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
Biomechanical analysis and tactical awareness cultivation of badminton players’ variable speed running training
Weiguo Li
Molecular & cellular biomechanics (2024) Vol. 21, Iss. 4, pp. 458-458
Open 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
Recognizing and Understanding Sport Activities Based on Wearable Sensor Signals Using Deep Residual Network
Sakorn Mekruksavanich, Ponnipa Jantawong, Anuchit Jitpattanakul
(2023), pp. 166-169
Closed Access
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