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:

Optimizing fetal health prediction: Ensemble modeling with fusion of feature selection and extraction techniques for cardiotocography data
Ramdas Kapila, Sumalatha Saleti
Computational Biology and Chemistry (2023) Vol. 107, pp. 107973-107973
Closed Access | Times Cited: 8

Showing 8 citing articles:

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

Efficient Heart Disease Classification Through Stacked Ensemble with Optimized Firefly Feature Selection
Krishnamoorthy Natarajan, Vinoth Kumar Vaidyanathan, T R Mahesh, et al.
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 4

An ensemble-based stage-prediction machine learning approach for classifying fetal disease
Dipti Dash, Mukesh Kumar
Healthcare Analytics (2024) Vol. 5, pp. 100322-100322
Open Access | Times Cited: 2

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

AI-Powered Early Detection of Genetic Disorders in Fetuses Using Machine Learning Models
Rama Krishna Eluri, Aila Manogna, Yendluri Hari Chandana, et al.
(2024), pp. 1-7
Closed Access

CFCM-SMOTE: A Robust Fetal Health Classification to Improve Precision Modeling in Multiclass Scenarios
Ahmad Ilham, Asdani Kindarto, Akhmad Fathurohman, et al.
International Journal of Computing and Digital Systems (2024) Vol. 15, Iss. 1, pp. 471-486
Open Access

A Novel Active Learning Technique for Fetal Health Classification Based on Xgboost Classifier
Kaushal Bhardwaj, Niyati Goyal, Bhavika Mittal, et al.
(2024)
Closed Access

A stacking ensemble model for predicting the occurrence of carotid atherosclerosis
Xiaoshuai Zhang, C.-H. Tang, Shuohuan Wang, et al.
Frontiers in Endocrinology (2024) Vol. 15
Open Access

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