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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:

Development and Validation of a Deep Learning Method to Predict Cerebral Palsy From Spontaneous Movements in Infants at High Risk
Daniel Groos, Lars Adde, Sindre Aubert, et al.
JAMA Network Open (2022) Vol. 5, Iss. 7, pp. e2221325-e2221325
Open Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Artificial Intelligence for Clinical Prediction: Exploring Key Domains and Essential Functions
Mohamed Khalifa, Mona Albadawy
Computer Methods and Programs in Biomedicine Update (2024) Vol. 5, pp. 100148-100148
Open Access | Times Cited: 40
Automated identification of abnormal infant movements from smart phone videos
Elyse Passmore, Audrey Kwong, S. Greenstein, et al.
PLOS Digital Health (2024) Vol. 3, Iss. 2, pp. e0000432-e0000432
Open Access | Times Cited: 8
Deep learning empowered sensor fusion boosts infant movement classification
Tomas Kulvičius, Dajie Zhang, Luise Poustka, et al.
Communications Medicine (2025) Vol. 5, Iss. 1
Open Access | Times Cited: 1
The General Movement Optimality Score-Revised (GMOS-R) with Socioeconomically Stratified Percentile Ranks
Christa Einspieler, Arend F. Bos, Alicia J. Spittle, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 8, pp. 2260-2260
Open Access | Times Cited: 6
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: 14
Towards automated video-based assessment of dystonia in dyskinetic cerebral palsy: A novel approach using markerless motion tracking and machine learning
Helga Haberfehlner, S. Shankara van der Ven, Sven A. van der Burg, et al.
Frontiers in Robotics and AI (2023) Vol. 10
Open Access | Times Cited: 12
Open video data sharing in developmental science and clinical practice
Peter B. Marschik, Tomas Kulvičius, Sarah Flügge, et al.
iScience (2023) Vol. 26, Iss. 4, pp. 106348-106348
Open Access | Times Cited: 11
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: 4
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
Data-Driven Early Prediction of Cerebral Palsy Using AutoML and interpretable kinematic features
Melanie Segado, Laura A. Prosser, Andrea F. Duncan, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Explaining Human Activity Recognition with SHAP: Validating insights with perturbation and quantitative measures
Felix Tempel, Espen A. F. Ihlen, Lars Adde, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109838-109838
Open Access
Can AI-Based Video Analysis Help Evaluate the Performance of the Items in the Bayley Scales of Infant Development?
Dong Hyun Ye, Tae Won Kim, Sumin Kim, et al.
Children (2025) Vol. 12, Iss. 3, pp. 276-276
Open Access
Comparison of marker-less 2D image-based methods for infant pose estimation
Lennart Jahn, Sarah Flügge, Dajie Zhang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Mobile Solutions for Clinical Surveillance and Evaluation in Infancy—General Movement Apps
Peter B. Marschik, Amanda Kwong, Nelson Silva, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 10, pp. 3576-3576
Open Access | Times Cited: 10
Infant movement classification through pressure distribution analysis
Tomas Kulvičius, Dajie Zhang, Karin Nielsen‐Saines, et al.
Communications Medicine (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 10
Reduction in limb-movement complexity at term-equivalent age is associated with motor developmental delay in very-preterm or very-low-birth-weight infants
Myung Woo Park, Hyung‐Ik Shin, Moon Suk Bang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Markerless motion analysis to assess reaching-sideways in individuals with dyskinetic cerebral palsy: A validity study
Inti Vanmechelen, Ellen Van Wonterghem, Jean‐Marie Aerts, et al.
Journal of Biomechanics (2024) Vol. 173, pp. 112233-112233
Closed Access | Times Cited: 3
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: 8
Markerless human pose estimation for biomedical applications: a survey
Andrea Avogaro, Federico Cunico, Bodo Rosenhahn, et al.
Frontiers in Computer Science (2023) Vol. 5
Open Access | Times Cited: 8
Spasticity following brain and spinal cord injury: assessment and treatment
Stefano Tamburin, Mirko Filippetti, Elisa Mantovani, et al.
Current Opinion in Neurology (2022) Vol. 35, Iss. 6, pp. 728-740
Closed Access | Times Cited: 13
Development of a peripheral blood transcriptomic gene signature to predict bronchopulmonary dysplasia
Alvaro Moreira, Miriam Tovar, Alisha M. Smith, et al.
AJP Lung Cellular and Molecular Physiology (2022) Vol. 324, Iss. 1, pp. L76-L87
Open Access | Times Cited: 13
Machine learning approaches to evaluate infants’ general movements in the writhing stage—a pilot study
Lisa Letzkus, J. Vince Pulido, Abiodun Adeyemo, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Automated identification of abnormal infant movements from smart phone videos
Elyse Passmore, Audrey Kwong, S. Greenstein, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6
Experimental Evaluation of Brain Cerebral Palsy Disease Prediction Using Artificial Intelligence Assisted Learning Methodology
Pushpa Mohan, G. Ramkumar
(2024), pp. 1-7
Closed Access | Times Cited: 2
Nomogram for soiling prediction in post-surgery hirschsprung children: a retrospective study
Pei Wang, Erhu Fang, Xiang Zhao, et al.
International Journal of Surgery (2023) Vol. 110, Iss. 3, pp. 1627-1636
Open Access | Times Cited: 4
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