Open Access Helper

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:

Machine Learning Model for Classifying the Results of Fetal Cardiotocography Conducted in High-Risk Pregnancies
Tae Jun Park, Hye Jin Chang, Byungjin Choi, et al.
Yonsei Medical Journal (2022) Vol. 63, Iss. 7, pp. 692-692
Open Access | Times Cited: 10

Showing 10 citing articles:

Development and evaluation of deep learning models for cardiotocography interpretation
Nicole Chiou, Nichole Young‐Lin, Christopher Kelly, et al.
npj Women s Health (2025) Vol. 3, Iss. 1
Open Access | Times Cited: 1
Machine learning and disease prediction in obstetrics
Zara Arain, Stamatina Iliodromiti, Greg Slabaugh, et al.
Current Research in Physiology (2023) Vol. 6, pp. 100099-100099
Open Access | Times Cited: 17
Bridging Gaps in Artificial Intelligence Adoption for Maternal-Fetal and Obstetric Care: Unveiling Transformative Capabilities and Challenges
Kalyan Tadepalli, Abhijit Das, Tanushree Meena, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 263, pp. 108682-108682
Closed Access
Elevating Maternal Healthcare: Synergy of Cardiotocography, Machine Learning Models and Interpretive Analysis
G. Niveditha, B. Uma Maheswari, Rocío Pérez de Prado
Procedia Computer Science (2025) Vol. 258, pp. 2787-2797
Open Access
Machine Learning Prediction of Fetal Health Status from Cardiotocography Examination in Developing Healthcare Contexts
O. C. Olayemi, Olasehinde Olayemi
Journal of Computer Science Research (2024) Vol. 6, Iss. 1, pp. 43-53
Open Access | Times Cited: 2
Development and Evaluation of Deep Learning Models for Cardiotocography Interpretation
Nicole Chiou, Nichole Young‐Lin, Christopher Kelly, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
AI-driven paradigm shift in computerized cardiotocography analysis: A systematic review and promising directions
Weifang Xie, Pufan Cai, Yating Hu, et al.
Neurocomputing (2024) Vol. 607, pp. 128446-128446
Closed Access | Times Cited: 1
Multimodal Model for Predicting Fetal Acidosis in Delivery Room
Byungjin Choi, Chang Eun Park, J. Park, et al.
Studies in health technology and informatics (2024)
Open Access | Times Cited: 1
A Systematic Approach for Effective Apgar Score Assessment in 1 and 5 min Using Manifold Machine Learning Algorithms
S. Shaambhavi, Ganga Bhavani
Lecture notes in electrical engineering (2024), pp. 183-194
Closed Access
Assessing Performance Across Various Machine Learning Algorithms with Integrated Feature Selection for Fetal Heart Classification
Laura Rizka Amanda, Mila Desi Anasanti, R. Sumalatha
International Journal of Artificial Intelligence Research (2024) Vol. 8, Iss. 1, pp. 1-1
Open Access
Improving Maternal Health by Predicting Various Pregnancy-Related Abnormalities Using Machine Learning Algorithms
K. Nandhini, J. Jayapriya, M Vinay
Advances in computational intelligence and robotics book series (2023), pp. 303-326
Closed Access
Page 1

Scroll to top