OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 19 citing articles:

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

Artificial intelligence in child development monitoring: A systematic review on usage, outcomes and acceptance
Lisa Reinhart, Anne Bischops, Janna-Lina Kerth, et al.
Intelligence-Based Medicine (2024) Vol. 9, pp. 100134-100134
Open Access | Times Cited: 9

Marker-Less Video Analysis of Infant Movements for Early Identification of Neurodevelopmental Disorders
Roberta Bruschetta, Angela Caruso, Martina Micai, et al.
Diagnostics (2025) Vol. 15, Iss. 2, pp. 136-136
Open Access | Times Cited: 1

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

The reliability of a pose-estimation-based WeChat mini-program in monitoring the motor function of patients after brachial plexus injury
Jingyuan Fan, Hyun Seo An, Fanbin Gu, et al.
Journal of Hand Surgery (European Volume) (2025)
Closed Access

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

NeoCam: An Edge-Cloud Platform for Non-Invasive Real-Time Monitoring in Neonatal Intensive Care Units
Ángel Ruíz-Zafra, Daniel Precioso, Blas Salvador, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 6, pp. 2614-2624
Closed Access | Times Cited: 7

Automated Movement Analysis to Predict Cerebral Palsy in Very Preterm Infants: An Ambispective Cohort Study
Kamini Raghuram, Silvia Orlandi, Paige Church, et al.
Children (2022) Vol. 9, Iss. 6, pp. 843-843
Open Access | Times Cited: 12

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

Using DeepLabCut to Recognize Early Motor Development Patterns Associated With Neurodevelopmental Disorders
Angela Caruso, Marzena Oliveira Ribas Marzena Szkodo, Martina Micai, et al.
IEEE Access (2024) Vol. 12, pp. 116126-116134
Open Access | Times Cited: 1

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

Spontaneous movements as prognostic tool of neurodevelopmental outcomes in preterm infants: a narrative review
Hyun Iee Shin, Myung Woo Park, Woo Hyung Lee
Clinical and Experimental Pediatrics (2023) Vol. 66, Iss. 11, pp. 458-464
Open Access | Times Cited: 2

NRP: A Multi-Source, Heterogeneous, Automatic Data Collection System for Infants in Neonatal Intensive Care Units
Janet Pigueiras-del-Real, Lionel C. Gontard, Isabel Benavente‐Fernández, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 2, pp. 678-689
Open Access | Times Cited: 2

Deep-learning-based markerless tracking of distal anatomical landmarks in clinically recorded videos for assessing infant movement patterns associated with neurodevelopmental status
Hamid Abbasi, Sarah R. Mollet, Sîan A. Williams, et al.
Journal of the Royal Society of New Zealand (2023) Vol. 55, Iss. 2, pp. 223-240
Open Access | Times Cited: 2

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

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

A Review of State-of-the-arts Sensing Techniques for the Ultra-early Screening of Cerebral Palsy
Yunji Zhuang, Hao Zhou, Huiping Zhang, et al.
2022 IEEE International Conference on Real-time Computing and Robotics (RCAR) (2023), pp. 977-982
Closed Access | Times Cited: 1

2D Capsule Networks Detect Perceived Changes in Infant∼Environment Relationship Reflected in 3D Movement Dynamics
Massoud Khodadadzadeh, Aliza Sloan, Nancy Aaron Jones, et al.
Research Square (Research Square) (2023)
Open Access

Page 1

Scroll to top