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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:

A Pose-Based Feature Fusion and Classification Framework for the Early Prediction of Cerebral Palsy in Infants
Kevin D. McCay, Pengpeng Hu, Hubert P. H. Shum, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 30, pp. 8-19
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Machine learning-based construction site dynamic risk models
Ahmed Gondia, Ahmed Moussa, Mohamed Ezzeldin, et al.
Technological Forecasting and Social Change (2023) Vol. 189, pp. 122347-122347
Closed Access | Times Cited: 15
Automated machine learning with interpretation: A systematic review of methodologies and applications in healthcare
Han Yuan, Kunyu Yu, Feng Xie, et al.
Medicine Advances (2024) Vol. 2, Iss. 3, pp. 205-237
Open Access | Times Cited: 6
Deep learning empowered sensor fusion boosts infant movement classification
Tomas Kulviĉius, Dajie Zhang, Luise Poustka, et al.
Communications Medicine (2025) Vol. 5, Iss. 1
Open Access
A systematic review of portable technologies for the early assessment of motor development in infants
Weiyang Deng, Megan K. O’Brien, Rachel A. Andersen, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Deep learning-based classification of hemiplegia and diplegia in cerebral palsy using postural control analysis
Javiera T. Arias Valdivia, Valeska Gatica Rojas, César A. Astudillo
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Automating General Movements Assessment with quantitative deep learning to facilitate early screening of cerebral palsy
Qiang Gao, Siqiong Yao, Yuan Tian, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 12
Silver doped anatase nanocomposite: a novel photocatalyst with advanced activity under visible light for waste-water treatment
Sherif Elbasuney, Ahmed M. El‐Khawaga, Mohamed A. Elsayed, et al.
Deleted Journal (2024) Vol. 6, Iss. 4
Open Access | Times Cited: 4
Open video data sharing in developmental science and clinical practice
Peter B. Marschik, Tomas Kulviĉius, Sarah Flügge, et al.
iScience (2023) Vol. 26, Iss. 4, pp. 106348-106348
Open Access | Times Cited: 10
A self-supervised spatio-temporal attention network for video-based 3D infant pose estimation
Wang Yin, Linxi Chen, Xinrui Huang, et al.
Medical Image Analysis (2024) Vol. 96, pp. 103208-103208
Closed Access | Times Cited: 2
A Training-Free Infant Spontaneous Movement Assessment Method for Cerebral Palsy Prediction Based on Videos
Qingqiang Wu, Penglin Qin, Jiachen Kuang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 1670-1679
Open Access | Times Cited: 7
Robust and Interpretable General Movement Assessment Using Fidgety Movement Detection
Romero Morais, Vuong Le, Catherine Morgan, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 10, pp. 5042-5053
Closed Access | Times Cited: 5
Human Pose Estimation for Clinical Analysis of Gait Pathologies
Manal Mostafa Ali, Maha Medhat Hassan, Mohamed H. Zaki
Bioinformatics and Biology Insights (2024) Vol. 18
Open Access | Times Cited: 1
A pose estimation for motion tracking of infants cerebral palsy
Manal Mostafa Ali, Samer I. Mohamed
Multimedia Tools and Applications (2024)
Open Access | Times Cited: 1
Cerebral Palsy Prediction with Frequency Attention Informed Graph Convolutional Networks
Haozheng Zhang, Hubert P. H. Shum, Edmond S. L. Ho
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2022), pp. 1619-1625
Open Access | Times Cited: 6
The Classification of Movement in Infants for the Autonomous Monitoring of Neurological Development
Alexander P. Turner, Stephen Hayes, Don Sharkey
Sensors (2023) Vol. 23, Iss. 10, pp. 4800-4800
Open Access | Times Cited: 3
A 3D pose estimation framework for preterm infants hospitalized in the Neonatal Unit
Ameur Soualmi, Christophe Ducottet, Hugues Patural, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 24383-24400
Open Access | Times Cited: 3
Mean 3D Dispersion for Automatic General Movement Assessment of Preterm Infants
Ameur Soualmi, Olivier Alata, Christophe Ducottet, et al.
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2023), pp. 1-5
Open Access | Times Cited: 3
Pose Sequence-Aware Generative Adversarial Network for Augmenting Skeleton Sequences to Improve Cerebral Palsy Detection by Deep Learner
Rajalekshmy Kayiparambil Devarajan, Sheeja Shaik Khader
International journal of intelligent engineering and systems (2023) Vol. 16, Iss. 5, pp. 512-522
Open Access | Times Cited: 2
Motor Function Assessment of Children with Cerebral Palsy using Monocular Video
Peijun Zhao, Moisés Alencastre-Miranda, Zhan Shen, et al.
(2023), pp. 1-4
Closed Access | Times Cited: 2
A Two-stream Convolutional Network for Musculoskeletal and Neurological Disorders Prediction
Manli Zhu, Qianhui Men, Edmond S. L. Ho, et al.
Journal of Medical Systems (2022) Vol. 46, Iss. 11
Open Access | Times Cited: 4
Computer Vision for Gait Assessment in Cerebral Palsy: Metric Learning and Confidence Estimation
Peijun Zhao, Moisés Alencastre-Miranda, Zhan Shen, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 2336-2345
Open Access
Enhanced Infant Movement Analysis Using Transformer-Based Fusion of Diverse Video Features for Neurodevelopmental Monitoring
Alexander P. Turner, Don Sharkey
Sensors (2024) Vol. 24, Iss. 20, pp. 6619-6619
Open Access
Cerebral palsy detection from infant using movements of their salient body parts and a feature fusion model
Subodh Rajpopat, Sunil Kumar, Narinder Singh Punn
The Journal of Supercomputing (2024) Vol. 81, Iss. 1
Closed Access
Predicting and managing risk interactions and systemic risks in infrastructure projects using machine learning
Ahmed Moussa, Mohamed Ezzeldin, Wael El‐Dakhakhni
Automation in Construction (2024) Vol. 168, pp. 105836-105836
Open Access
AGMA-PESS: a deep learning-based infant pose estimator and sequence selector software for general movement assessment
Ameur Soualmi, Olivier Alata, Christophe Ducottet, et al.
Frontiers in Pediatrics (2024) Vol. 12
Open Access
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