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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:

Machine and deep learning for sport-specific movement recognition: a systematic review of model development and performance
Emily E. Cust, Alice J. Sweeting, Kevin Ball, et al.
Journal of Sports Sciences (2018) Vol. 37, Iss. 5, pp. 568-600
Open Access | Times Cited: 232

Showing 1-25 of 232 citing articles:

Sensor-based and vision-based human activity recognition: A comprehensive survey
L. Minh Dang, Kyungbok Min, Hanxiang Wang, et al.
Pattern Recognition (2020) Vol. 108, pp. 107561-107561
Closed Access | Times Cited: 529
Medical deep learning—A systematic meta-review
Jan Egger, Christina Gsaxner, Antonio Pepe, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 221, pp. 106874-106874
Open Access | Times Cited: 169
A Comprehensive Review of Computer Vision in Sports: Open Issues, Future Trends and Research Directions
Banoth Thulasya Naik, Mohammad Farukh Hashmi, Neeraj Dhanraj Bokde
Applied Sciences (2022) Vol. 12, Iss. 9, pp. 4429-4429
Open Access | Times Cited: 94
UniHCP: A Unified Model for Human-Centric Perceptions
Yuanzheng Ci, Yizhou Wang, Meilin Chen, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 17840-17852
Open Access | Times Cited: 40
A comparison of a GPS device and a multi-camera video technology during official soccer matches: Agreement between systems
Eduard Pons, Tomás García‐Calvo, Ricardo Resta, et al.
PLoS ONE (2019) Vol. 14, Iss. 8, pp. e0220729-e0220729
Open Access | Times Cited: 111
Convolutional-Neural Network-Based Image Crowd Counting: Review, Categorization, Analysis, and Performance Evaluation
Naveed Ilyas, Ahsan Shahzad, Kiseon Kim
Sensors (2019) Vol. 20, Iss. 1, pp. 43-43
Open Access | Times Cited: 97
Artificial intelligence for team sports: a survey
Ryan Beal, Timothy J. Norman, Sarvapali D. Ramchurn
The Knowledge Engineering Review (2019) Vol. 34
Open Access | Times Cited: 90
Multidimensional Ground Reaction Forces and Moments From Wearable Sensor Accelerations via Deep Learning
William R. Johnson, Ajmal Mian, Mark A. Robinson, et al.
IEEE Transactions on Biomedical Engineering (2020) Vol. 68, Iss. 1, pp. 289-297
Open Access | Times Cited: 90
A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications
Fei Wu, Qingzhong Wang, Jiang Bian, et al.
IEEE Transactions on Multimedia (2022) Vol. 25, pp. 7943-7966
Open Access | Times Cited: 51
Technological Breakthroughs in Sport: Current Practice and Future Potential of Artificial Intelligence, Virtual Reality, Augmented Reality, and Modern Data Visualization in Performance Analysis
Victor Rodrigues Amaral Cossich, Dave Carlgren, Robert John Holash, et al.
Applied Sciences (2023) Vol. 13, Iss. 23, pp. 12965-12965
Open Access | Times Cited: 36
Surface Electromyography and Artificial Intelligence for Human Activity Recognition—A Systematic Review on Methods, Emerging Trends Applications, Challenges, and Future Implementation
Gundala Jhansi Rani, Mohammad Farukh Hashmi, Aditya Gupta
IEEE Access (2023) Vol. 11, pp. 105140-105169
Open Access | Times Cited: 25
Motion Capture Technology in Sports Scenarios: A Survey
Xiang Suo, Weidi Tang, Zhen Li
Sensors (2024) Vol. 24, Iss. 9, pp. 2947-2947
Open Access | Times Cited: 11
Application of Raw Accelerometer Data and Machine-Learning Techniques to Characterize Human Movement Behavior: A Systematic Scoping Review
Anantha Narayanan, Farzanah Desai, Tom Stewart, et al.
Journal of Physical Activity and Health (2020) Vol. 17, Iss. 3, pp. 360-383
Closed Access | Times Cited: 63
Comparative Study of Table Tennis Forehand Strokes Classification Using Deep Learning and SVM
Sahar S. Tabrizi, Saeid Pashazadeh, Vajiheh Javani
IEEE Sensors Journal (2020) Vol. 20, Iss. 22, pp. 13552-13561
Closed Access | Times Cited: 51
LSTM with bio inspired algorithm for action recognition in sports videos
Jun Chen, R. Dinesh Jackson Samuel, Parthasarathy Poovendran
Image and Vision Computing (2021) Vol. 112, pp. 104214-104214
Closed Access | Times Cited: 44
From the Laboratory to the Field: IMU-Based Shot and Pass Detection in Football Training and Game Scenarios Using Deep Learning
Maike Stoeve, Dominik Schuldhaus, Axel Gamp, et al.
Sensors (2021) Vol. 21, Iss. 9, pp. 3071-3071
Open Access | Times Cited: 41
The Use of Wearable Sensors for Preventing, Assessing, and Informing Recovery from Sport-Related Musculoskeletal Injuries: A Systematic Scoping Review
Ezio Preatoni, Elena Bergamini, Silvia Fantozzi, et al.
Sensors (2022) Vol. 22, Iss. 9, pp. 3225-3225
Open Access | Times Cited: 36
Face Recognition Based on Deep Learning and FPGA for Ethnicity Identification
Ahmed Jawad A. AlBdairi, Zhu Xiao, Ahmed Alkhayyat, et al.
Applied Sciences (2022) Vol. 12, Iss. 5, pp. 2605-2605
Open Access | Times Cited: 33
Conceptual Structure and Current Trends in Artificial Intelligence, Machine Learning, and Deep Learning Research in Sports: A Bibliometric Review
Carlo Dindorf, Eva Bartaguiz, Freya Gassmann, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 20, Iss. 1, pp. 173-173
Open Access | Times Cited: 33
The impact of technology on sports – A prospective study
Nicolas Frevel, Daniel Beiderbeck, Sascha L. Schmidt
Technological Forecasting and Social Change (2022) Vol. 182, pp. 121838-121838
Closed Access | Times Cited: 32
Artificial Intelligence in Elite Sports—A Narrative Review of Success Stories and Challenges
Fabian Hammes, Alexander Hagg, Alexander Asteroth, et al.
Frontiers in Sports and Active Living (2022) Vol. 4
Open Access | Times Cited: 31
Characteristics of Complex Systems in Sports Injury Rehabilitation: Examples and Implications for Practice
Kate K. Yung, Clare L. Ardern, Fabio R. Serpiello, et al.
Sports Medicine - Open (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 30
From brain to movement: Wearables-based motion intention prediction across the human nervous system
Chenyu Tang, Zhenyu Xu, Edoardo Occhipinti, et al.
Nano Energy (2023) Vol. 115, pp. 108712-108712
Open Access | Times Cited: 20
End-to-End Dataset Collection System for Sport Activities
Matteo Fresta, Francesco Bellotti, Alessio Capello, et al.
Electronics (2024) Vol. 13, Iss. 7, pp. 1286-1286
Open Access | Times Cited: 7
Evaluation of Tennis Teaching Effect UsingOptimized DL Model with Cloud ComputingSystem
Sai Srinivas Vellela, Mandapati Venkateswara Rao, Srihari Varma Mantena, et al.
International Journal of Modern Education and Computer Science (2024) Vol. 16, Iss. 2, pp. 16-28
Open Access | Times Cited: 5
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