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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:

AI Approaches towards Prechtl’s Assessment of General Movements: A Systematic Literature Review
Muhammad Tausif Irshad, Muhammad Adeel Nisar, Philip Gouverneur, et al.
Sensors (2020) Vol. 20, Iss. 18, pp. 5321-5321
Open Access | Times Cited: 54

Showing 26-50 of 54 citing articles:

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
Technology-assisted quantification of movement to predict infants at high risk of motor disability: A systematic review
Christian B. Redd, Mohan Karunanithi, Roslyn N. Boyd, et al.
Research in Developmental Disabilities (2021) Vol. 118, pp. 104071-104071
Closed Access | Times Cited: 16
Automatic quantitative intelligent assessment of neonatal general movements with video tracking
Xinrui Huang, Chunling Huang, Yin Wang, et al.
Displays (2024) Vol. 82, pp. 102658-102658
Closed Access | Times Cited: 2
The Symphony of Team Flow in Virtual Teams. Using Artificial Intelligence for Its Recognition and Promotion
Corinna Peifer, Anita Pollak, Olaf Flak, et al.
Frontiers in Psychology (2021) Vol. 12
Open Access | Times Cited: 15
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
Sensor-Based Classification of Primary and Secondary Car Driver Activities Using Convolutional Neural Networks
Rafał Doniec, Justyna Konior, Szymon Sieciński, et al.
Sensors (2023) Vol. 23, Iss. 12, pp. 5551-5551
Open Access | Times Cited: 4
Correlation between pose estimation features regarding movements towards the midline in early infancy
Nisasri Sermpon, Hirotaka Gima
PLoS ONE (2024) Vol. 19, Iss. 2, pp. e0299758-e0299758
Open Access | Times Cited: 1
Towards novel classification of infants’ movement patterns supported by computerized video analysis
Iwona Doroniewicz, Daniel Ledwoń, Monika Bugdol, et al.
Journal of NeuroEngineering and Rehabilitation (2024) Vol. 21, Iss. 1
Open Access | Times Cited: 1
Assessing infant risk of cerebral palsy with video-based motion tracking
Melanie Segado, Laura A. Prosser, Andrea F. Duncan, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Sensor-Based Classification of Primary and Secondary Car Driver Activities Using Convolutional Neural Networks
Rafał Doniec, Justyna Konior, Szymon Sieciński, et al.
(2023)
Open Access | Times Cited: 3
Building Blocks for Deep Phenotyping in Infancy: A Use Case Comparing Spontaneous Neuromotor Functions in Prader-Willi Syndrome and Cerebral Palsy
Dajie Zhang, Jun Wang, Xiushu Shen, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 3, pp. 784-784
Open Access | Times Cited: 2
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
Design and Construct Validity of a Postural Control Test for Pre-Term Infants
Katarzyna Kniaziew-Gomoluch, Andrzej Szopa, Z. Kidoń, et al.
Diagnostics (2022) Vol. 13, Iss. 1, pp. 96-96
Open Access | Times Cited: 4
Temporal and spatial variability of the fidgety movement descriptors and their relation to head position in automized general movement assessment
Iwona Doroniewicz, Daniel Ledwoń, Marta Danch–Wierzchowska, et al.
Acta of Bioengineering and Biomechanics (2021) Vol. 23, Iss. 3
Open Access | Times Cited: 5
Quantifying spontaneous infant movements using state-space models
Elyse Passmore, Amanda Kwong, Joy E. Olsen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Infant Movement Detection via Eigenvalue-Entropy Based Subspace Method
Leonardo Yuto Suzuki Camelo, Bernardo B. Gatto, Ayrles Mendonça, et al.
(2024), pp. 543-554
Open Access
Artificial intelligence detects awareness of functional relation with the environment in 3 month old babies
Massoud Khodadadzadeh, Aliza Sloan, Nancy Aaron Jones, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Reproducibility evaluation of kinesiological parameters spontaneous movements of infants in computer analysis
Katarzyna Kieszczyńska, Iwona Doroniewicz, Daniel Ledwoń, et al.
Acta of Bioengineering and Biomechanics (2024) Vol. 26, Iss. 1
Open Access
Quantifying spontaneous infant movements using state-space models
Elyse Passmore, Akl Kwong, Joy E. Olsen, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
From the Early Detection to Early Intervention at Home: The Role of Technology in Infancy
Elena Beani, Silvia Filogna, Giovanni Cioni, et al.
Springer eBooks (2023), pp. 71-96
Closed Access | Times Cited: 1
Weakly Supervised Online Action Detection for Infant General Movements
Tongyi Luo, Jia Xiao, Chuncao Zhang, et al.
Lecture notes in computer science (2022), pp. 721-731
Closed Access | Times Cited: 2
Are Fetus and Neonate the Same Individual in Terms of Behavior?
Asım Kurjak, Milan Stanojević
Donald School Journal of Ultrasound in Obstetrics & Gynecology (2022) Vol. 16, Iss. 3, pp. 238-249
Open Access | Times Cited: 2
Deep Learning-Based Quantitative Analyses of Spontaneous Movements and Their Association With Early Neurological Development in Preterm Infants
Hyun Iee Shin, Hyung‐Ik Shin, Moon Suk Bang, et al.
Research Square (Research Square) (2021)
Open Access | Times Cited: 2
Unterschiede in der Verteilung der General Movements-Klassifikation zwischen neonatalen Risikogruppen im Kinderspital Zürich: Eine Beobachtungsstudie
Rachel Cott, Cornelia Hagmann, Ruth Etter, et al.
Zeitschrift für Geburtshilfe und Neonatologie (2022) Vol. 226, Iss. 04, pp. 265-273
Closed Access | Times Cited: 1

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