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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 1-25 of 54 citing articles:

The future of General Movement Assessment: The role of computer vision and machine learning – A scoping review
Nelson Silva, Dajie Zhang, Tomas Kulvičius, et al.
Research in Developmental Disabilities (2021) Vol. 110, pp. 103854-103854
Open Access | Times Cited: 94
Novel AI driven approach to classify infant motor functions
Simon Reich, Dajie Zhang, Tomas Kulvičius, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 65
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
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
Video-Based Automatic Baby Motion Analysis for Early Neurological Disorder Diagnosis: State of the Art and Future Directions
Marco Leo, Giuseppe Massimo Bernava, Pierluigi Carcagnì, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 866-866
Open Access | Times Cited: 31
Sleep Stage Classification in Children Using Self-Attention and Gaussian Noise Data Augmentation
Xinyu Huang, Kimiaki Shirahama, Muhammad Tausif Irshad, et al.
Sensors (2023) Vol. 23, Iss. 7, pp. 3446-3446
Open Access | Times Cited: 17
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
Writhing Movement Detection in Newborns on the Second and Third Day of Life Using Pose-Based Feature Machine Learning Classification
Iwona Doroniewicz, Daniel Ledwoń, Alicja Affanasowicz, et al.
Sensors (2020) Vol. 20, Iss. 21, pp. 5986-5986
Open Access | Times Cited: 36
Early brain activity: Translations between bedside and laboratory
Heiko J. Luhmann, Patrick O. Kanold, Zoltán Molnár, et al.
Progress in Neurobiology (2022) Vol. 213, pp. 102268-102268
Open Access | Times Cited: 22
SenseHunger: Machine Learning Approach to Hunger Detection Using Wearable Sensors
Muhammad Tausif Irshad, Muhammad Adeel Nisar, Xinyu Huang, et al.
Sensors (2022) Vol. 22, Iss. 20, pp. 7711-7711
Open Access | Times Cited: 20
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.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 19
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
Towards Automatic Assessment of Atypical Early Motor Development?
Ori Ossmy, Georgina Donati, Aman Kaur, et al.
Brain Research Bulletin (2025), pp. 111311-111311
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
Doing Everything We Can to Help Our High-Risk Newborns: A Qualitative, Lifeworld-Led Study of What Early Risk Assessment for Cerebral Palsy Means to Parents
Kristin Bjørnstad Åberg, Karin Dahlberg, Gunfrid Vinje Størvold, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 8, pp. 2740-2740
Open Access
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
Semi-supervised body parsing and pose estimation for enhancing infant general movement assessment
Haomiao Ni, Yuan Xue, Liya Ma, et al.
Medical Image Analysis (2022) Vol. 83, pp. 102654-102654
Open Access | Times Cited: 16
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
Wearable-based human flow experience recognition enhanced by transfer learning methods using emotion data
Muhammad Tausif Irshad, Frédéric Li, Muhammad Adeel Nisar, et al.
Computers in Biology and Medicine (2023) Vol. 166, pp. 107489-107489
Open Access | Times Cited: 10
Deep-learning for automated markerless tracking of infants general movements
Hamid Abbasi, Sarah R. Mollet, Shirley Williams, et al.
International Journal of Information Technology (2023) Vol. 15, Iss. 8, pp. 4073-4083
Open Access | Times Cited: 9
A CMOS-integrated terahertz near-field sensor based on an ultra-strongly coupled meta-atom
Alexander V. Chernyadiev, Dmytro B. But, Yurii Ivonyak, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open 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
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