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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: 63

Showing 26-50 of 63 citing articles:

A Convolutional Neural Network-based Automatic Identification and Intervention Model for Health Surveillance Data during Postpartum Recovery Periods
Y. F. Wang
Applied Mathematics and Nonlinear Sciences (2025) Vol. 10, Iss. 1
Open Access
Application of Proteomics in Maternal and Neonatal Health: Advancements and Future Directions
Razan Elkahlout, Sawsan Mohammed, Ahmed Najjar, et al.
PROTEOMICS - CLINICAL APPLICATIONS (2025)
Open Access
AI’s ongoing impact: Implications of AI’s effects on health equity for women’s healthcare providers
Suman Vadlamani, Elizabeth Wachira
Revista Panamericana de Salud Pública (2025) Vol. 49, pp. 1-1
Open Access
Maternal Health Risk Detection: Advancing Midwifery with Artificial Intelligence
Katerina D. Tzimourta, Markos G. Tsipouras, Pantelis Angelidis, et al.
Healthcare (2025) Vol. 13, Iss. 7, pp. 833-833
Open Access
A hybrid logistic DNA-based encryption system for securing the Internet of Things patient monitoring systems
Rajkumar Ettiyan, V. Geetha
Healthcare Analytics (2023) Vol. 3, pp. 100149-100149
Open Access | Times Cited: 9
Gender classification based on gait analysis using ultrawide band radar augmented with artificial intelligence
Adil Ali Saleem, Hafeez Ur Rehman Siddiqui, Rukhshanda Sehar, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123843-123843
Open Access | Times Cited: 3
Machine Learning Models for Maternal Health Risk Prediction based on Clinical Data
Hasin Arman Shifa, Mayen Uddin Mojumdar, Md. Mohaimenur Rahman, et al.
2022 9th International Conference on Computing for Sustainable Global Development (INDIACom) (2024), pp. 1312-1318
Closed Access | Times Cited: 3
Optimized virtual reality design through user immersion level detection with novel feature fusion and explainable artificial intelligence
Ali Raza, Amjad Rehman, Rukhshanda Sehar, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2150-e2150
Open Access | Times Cited: 3
Machine Learning-based maternal health risk prediction model for IoMT framework
Subhash Mondal, Amitava Nag, Anup Kumar Barman, et al.
International Journal of experimental research and review (2023) Vol. 32, pp. 145-159
Open Access | Times Cited: 7
Artificial Neural Network Prediction Model for Maternal Health Services Quality in Nigeria
Abdulwahab Shehu, Benson Y. Baha
Deleted Journal (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 2
Improving prediction of maternal health risks using PCA features and TreeNet model
Leila Jamel, Muhammad Umer, Oumaima Saidani, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1982-e1982
Open Access | Times Cited: 2
Enhanced interpretable thyroid disease diagnosis by leveraging synthetic oversampling and machine learning models
Ali Raza, Fatma Eid, Elisabeth Caro Montero, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
An Approach to Detect Chronic Obstructive Pulmonary Disease Using UWB Radar-Based Temporal and Spectral Features
Hafeez Ur Rehman Siddiqui, Ali Raza, Adil Ali Saleem, et al.
Diagnostics (2023) Vol. 13, Iss. 6, pp. 1096-1096
Open Access | Times Cited: 6
Deep Learning-Based Feature Engineering to Detect Anterior and Inferior Myocardial Infarction Using UWB Radar Data
Kainat Zafar, Hafeez Ur Rehman Siddiqui, Abdul Majid, et al.
IEEE Access (2023) Vol. 11, pp. 97745-97757
Open Access | Times Cited: 4
A Chatbot System for Supporting Women and Families during Pregnancy
P. Bhaskar, Tanuja Kunchala, Srujana Peddi, et al.
International Journal of Innovative Science and Research Technology (IJISRT) (2024), pp. 522-529
Open Access | Times Cited: 1
Multi-Faceted Approach to Cardiovascular Risk Assessment by Utilizing Predictive Machine Learning and Clinical Data in a Unified Web Platform
Khadiza Akther, Md. Saidur Rahman Kohinoor, Bushra Siddika Priya, et al.
IEEE Access (2024) Vol. 12, pp. 120454-120473
Open Access | Times Cited: 1
A systematic literature review of neuroimaging coupled with machine learning approaches for diagnosis of attention deficit hyperactivity disorder
Imran Ashraf, Seungpil Jung, Soojung Hur, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
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 | Times Cited: 1
Footwear-integrated force sensing resistor sensors: A machine learning approach for categorizing lower limb disorders
Hafeez Ur Rehman Siddiqui, Sunwan Nawaz, Muhammad Nauman Saeed, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107205-107205
Open Access | Times Cited: 3
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
Predicting Labor and Delivery Complications: Dual Application of Logistic Regression and Supervised Machine Learning Algorithms
Fisha Mehabaw Alemayoh, Getu Tadele Taye, Hiluf Ebuy Abraha, et al.
Research Square (Research Square) (2024)
Open Access
Unlocking Maternal Outcome Prediction Potential: A Comprehensive Analysis of the ConvXGB Model Integrating XGBoost and Deep Learning” at Evolving Systems.
Chukwudi Obinna Nwokoro, Boluwaji Akinnuwesi, Sourabh Shastri, et al.
Research Square (Research Square) (2024)
Open 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
Maternal Health Risk Prediction with Machine Learning Methods
M. Ferni Ukrit, R. Beaulah Jeyavathana, Aluru Leela Rani, et al.
(2024), pp. 1-9
Closed Access
Ensemble learning-based analysis of perinatal disorders in women
Malvika Gupta, Puneet Garg, C. P. Malik
Elsevier eBooks (2024), pp. 91-105
Closed Access

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