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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:

Ensemble learning-based feature engineering to analyze maternal health during pregnancy and health risk prediction
Ali Raza, Hafeez Ur Rehman Siddiqui, Kashif Munir, et al.
PLoS ONE (2022) Vol. 17, Iss. 11, pp. e0276525-e0276525
Open Access | Times Cited: 61

Showing 51-75 of 61 citing articles:

Fuzzy Logic Prediction of Hypertensive Disorders in Pregnancy Using the Takagi–Sugeno and C-Means Algorithms
Israel Campero-Jurado, Daniel Robles-Camarillo, Jorge A. Ruíz-Vanoye, et al.
Mathematics (2024) Vol. 12, Iss. 15, pp. 2417-2417
Open Access
Comparison of Different Neural Network Architectures for Cardiac Arrest Risk Prediction
M. Rahman, Awakash Mishra, Ananta Ojha, et al.
Lecture notes in electrical engineering (2024), pp. 305-310
Closed Access
Parameter Optimization Based Mud Ring Algorithm for Improving the Maternal Health Risk Prediction
Abeer S. Desuky, Sadiq Hussain, Mehmet Akif Çifçi, et al.
IEEE Access (2024) Vol. 12, pp. 167245-167261
Open Access
Predicting maternal risk level using machine learning models
Sulaiman Salim Al Mashrafi, Laleh Tafakori, Mali Abdollahian
BMC Pregnancy and Childbirth (2024) Vol. 24, Iss. 1
Open Access
Leveraging machine learning models for anemia severity detection among pregnant women following ANC: Ethiopian context
Bekan Kitaw, Chera Asefa, Firew Legese
BMC Public Health (2024) Vol. 24, Iss. 1
Open Access
Enhancing Fetal Care and Maternal Health with Machine Learning: A Systematic Review
Chetan Puri, K. T. V. Reddy
(2024), pp. 1-5
Closed Access
Unlocking Maternal Outcome Prediction Potential: A Comprehensive Analysis of the ConvXGB Model Integrating XGBoost and Deep Learning
Chukwudi Obinna Nwokoro, Boluwaji Akinnuwesi, Sourabh Shastri, et al.
Research Square (Research Square) (2024)
Open Access
Framework to develop a data-driven resilient and sustainable health information system for health care applications
Ayogeboh Epizitone
(2024)
Open Access
Maternal Health Risk Analysis and Classification Using Random Forest Model with Hyperparameter Tuning
Arasada Subhashini, K. Nataraju, Sonia Rani, et al.
Lecture notes in electrical engineering (2024), pp. 511-523
Closed Access
An Adaptable Model for Medical Image Classification Using the Streamlined Attention Mechanism
D. Dakshayani Himabindu, Praveen Kumar Sekharamantry, Rajakoti Badugu
International Journal of Online and Biomedical Engineering (iJOE) (2023) Vol. 19, Iss. 16, pp. 93-110
Open Access | Times Cited: 1
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
Adaboost Based Risk Level Prediction Model For Maternal Health
Ebru EFEOĞLU
2022 Innovations in Intelligent Systems and Applications Conference (ASYU) (2023), pp. 1-4
Closed Access
Multi Parameter Machine Learning-Based Maternal Healthiness Classification System
Rajkumar Ettiyan, V. Geetha
Smart innovation, systems and technologies (2023), pp. 475-486
Closed Access
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