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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:

RGB-D Videos-Based Early Prediction of Infant Cerebral Palsy via General Movements Complexity
Qingqiang Wu, Guanghua Xu, Wei Fan, et al.
IEEE Access (2021) Vol. 9, pp. 42314-42324
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Identification of Abnormal Movements in Infants: A Deep Neural Network for Body Part-Based Prediction of Cerebral Palsy
Dimitrios Sakkos, Kevin D. McCay, Claire Marcroft, et al.
IEEE Access (2021) Vol. 9, pp. 94281-94292
Open Access | Times Cited: 51
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: 31
Dynamic Gaussian Splatting from Markerless Motion Capture Reconstruct Infants Movements
R. Cotton, Colleen Peyton
(2024), pp. 60-68
Closed Access | Times Cited: 4
Synchronization‐Free Single‐Photon 3D Imaging
Li Wang, Zeng‐Quan Yan, Zekun Jiang, et al.
Laser & Photonics Review (2025)
Closed 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
Pixels2Pose: Super-resolution time-of-flight imaging for 3D pose estimation
Alice Ruget, Max Tyler, Germán Mora Martín, et al.
Science Advances (2022) Vol. 8, Iss. 48
Open Access | Times Cited: 18
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
Efficient Domain Adaptation via Generative Prior for 3D Infant Pose Estimation
Zhuoran Zhou, Zhongyu Jiang, Wenhao Chai, et al.
(2024), pp. 51-59
Open Access | Times Cited: 2
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
Supine Infant Pose Estimation via Single Depth Image
Qingqiang Wu, Guanghua Xu, Wei Fan, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 10
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
Interpreting Deep Learning based Cerebral Palsy Prediction with Channel Attention
Manli Zhu, Qianhui Men, Edmond S. L. Ho, et al.
IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) (2021), pp. 1-4
Open Access | Times Cited: 10
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
Azure Kinect Calibration and Parameter Recommendation in Different Scenarios
Wei Fan, Guanghua Xu, Qingqiang Wu, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 10, pp. 9733-9742
Closed Access | Times Cited: 6
Towards Explainable Abnormal Infant Movements Identification: A Body-part Based Prediction and Visualisation Framework
Kevin D. McCay, Edmond S. L. Ho, Dimitrios Sakkos, et al.
IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) (2021), pp. 1-4
Open Access | Times Cited: 8
Early Detection of Infant Cerebral Palsy Risk based on Pose Estimation using OpenPose and Advanced Algorithms from Limited and Imbalance Dataset
Endah Suryawati Ningrum, Eko Mulyanto Yuniarno, Mauridhi Hery Purnomo
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2023) Vol. abs 1904, pp. 1-6
Closed 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
Automated postural asymmetry assessment in infants neurodevelopmental evaluation using novel video-based features
Daniel Ledwoń, Marta Danch–Wierzchowska, Iwona Doroniewicz, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 233, pp. 107455-107455
Closed Access | Times Cited: 2
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
NeoVault: empowering neonatal research through a neonate data hub
Janet Pigueiras-del-Real, Ángel Ruíz-Zafra, Isabel Benavente‐Fernández, et al.
BMC Pediatrics (2024) Vol. 24, Iss. 1
Open Access
El rol de la inteligencia artificial en el método de estimación de pose para el diagnóstico temprano de la parálisis cerebral infantil: avances en la medicina de diagnóstico por imagen.
Alyssa N. Maguiña, Carlos E. Vasquez-Roque
Investigación e Innovación Clínica y Quirúrgica Pediátrica (2023) Vol. 1, Iss. 1, pp. 83-89
Open Access | Times Cited: 1
Real-time, low-cost multi-person 3D pose estimation
Alice Ruget, Max Tyler, Germán Mora-Martín, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 3
Towards a Deep Learning based Approach for an Infant Medical Analysis-A Review
David M. Wachepele, Samwel K. Muchina, Patrick M. Theuri, et al.
(2022), pp. 1-6
Closed Access | Times Cited: 1
An Improved Performance of Convolutional Neural Network for Infant Pose Estimation by Evaluating Hyperparameter
Endah Suryawati Ningrum, Eko Mulyanto Yuniarno, Mauridhi Hery Purnomo
(2023), pp. 66-71
Closed Access
Interpreting Deep Learning based Cerebral Palsy Prediction with Channel Attention
Manli Zhu, Qianhui Men, Edmond S. L. Ho, et al.
arXiv (Cornell University) (2021)
Open Access
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