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:

Polycystic Ovary Syndrome Detection Machine Learning Model Based on Optimized Feature Selection and Explainable Artificial Intelligence
Hela Elmannai, Nora El-Rashidy, Ibrahim Mashal, et al.
Diagnostics (2023) Vol. 13, Iss. 8, pp. 1506-1506
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Medical long-tailed learning for imbalanced data: Bibliometric analysis
Zheng Wu, Kehua Guo, Entao Luo, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 247, pp. 108106-108106
Closed Access | Times Cited: 10
Unveiling the Role of Artificial Intelligence (AI) in Polycystic Ovary Syndrome (PCOS) Diagnosis: A Comprehensive Review
Pulkit Verma, Pratibha Maan, Rohit Gautam, et al.
Reproductive Sciences (2024) Vol. 31, Iss. 10, pp. 2901-2915
Closed Access | Times Cited: 6
Diagnosis of COVID-19 Using Chest X-ray Images and Disease Symptoms Based on Stacking Ensemble Deep Learning
Abdulaziz AlMohimeed, Hager Saleh, Nora El-Rashidy, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1968-1968
Open Access | Times Cited: 13
Enhancing the Internet of Medical Things (IoMT) Security with Meta-Learning: A Performance-Driven Approach for Ensemble Intrusion Detection Systems
Mousa Alalhareth, Sungchul Hong
Sensors (2024) Vol. 24, Iss. 11, pp. 3519-3519
Open Access | Times Cited: 5
Using machine learning to predict patients with polycystic ovary disease in Chinese women
Chenyu Wang, Dee Pei, Chun-Kai Wang, et al.
Taiwanese Journal of Obstetrics and Gynecology (2025) Vol. 64, Iss. 1, pp. 68-75
Open Access
Optimized Machine Learning for the Early Detection of Polycystic Ovary Syndrome in Women
Bharti Panjwani, Jyoti Yadav, Vijay Mohan, et al.
Sensors (2025) Vol. 25, Iss. 4, pp. 1166-1166
Open Access
A feature explainability-based deep learning technique for diabetic foot ulcer identification
Pramod Singh Rathore, Abhishek Kumar, Amita Nandal, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Human-Artificial Intelligence Collaborations in Polycystic Ovary Syndrome (PCOS) Clinical Trials and Research
Wasswa Shafik
(2025), pp. 307-330
Closed Access
The Role of Nutrients in PCOS: An Exploration of Key Nutrients and Their Impact on PCOS Symptoms
Palvi Sharma, Rakesh Kumar, Meenu Gupta, et al.
(2025), pp. 89-104
Closed Access
Hormone Balancing Through Nutrition: Nutritional Strategies and AI Tools to Balance Hormones Associated with PCOS
K. S. Hemanth, Nida Fathima, Gajalaksmi Sridhar
(2025), pp. 213-231
Closed Access
Vector Conversion Based PCOS Detection in data segmentation using Multi Task Learning by Dynamic Deep Learning Architecture
S. Jagadeesan, Praveena Marannan
Biosciences Biotechnology Research Asia (2025) Vol. 22, Iss. 1, pp. 209-222
Open Access
Construction and evaluation of machine learning-based prediction model for live birth following fresh embryo transfer in IVF/ICSI patients with polycystic ovary syndrome
Suqin Zhu, Zhiqing Huang, Xiaojing Chen, et al.
Journal of Ovarian Research (2025) Vol. 18, Iss. 1
Open Access
Sensitivity analysis of physical and mental health factors affecting Polycystic ovary syndrome in women
Srirupa Guha, Ashwini Kodipalli
Expert Systems (2023)
Open Access | Times Cited: 11
Machine learning-based evaluation of application value of traditional Chinese medicine clinical index and pulse wave parameters in the diagnosis of polycystic ovary syndrome
Jiekee Lim, Jieyun Li, Xiao Feng, et al.
European Journal of Integrative Medicine (2023) Vol. 64, pp. 102311-102311
Open Access | Times Cited: 11
Polycystic Ovary Syndrome (PCOS) diagnostic methods in machine learning: a systematic literature review
Shikha Arora, Vedpal, Naresh Chauhan
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 3
Polycystic Ovary Syndrome and the Internet of Things: A Scoping Review
Sandro Graca, Folashade Alloh, Lukasz Lagojda, et al.
Healthcare (2024) Vol. 12, Iss. 16, pp. 1671-1671
Open Access | Times Cited: 2
A comprehensive machine learning framework with particle swarm optimization for improved polycystic ovary syndrome (PCOS) diagnosis
Ankur Kumar, Jaspreet Singh, Asim Ali Khan
Engineering Research Express (2024) Vol. 6, Iss. 3, pp. 035233-035233
Closed Access | Times Cited: 2
Enhancing real-time health monitoring with hybrid recurrent long short-term tyrannosaurus search for menstrual cups
S. Indra Priyadharshini, D. Shiny Irene, J. Rene Beulah, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107065-107065
Closed Access | Times Cited: 1
Computational intelligence for early detection of infertility in women
R. Subha, Nayana B.R., Rekha Radhakrishnan, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107400-107400
Closed Access | Times Cited: 3
Comparative Study on AI Technology in PCOS Diagnosis
V S Aswathy, Vineetha Sankar P
International Journal for Research in Applied Science and Engineering Technology (2023) Vol. 11, Iss. 5, pp. 846-848
Open Access | Times Cited: 2
An insight into the state of nanotechnology-based electrochemical biosensors for PCOS detection
Nidhi Chauhan, Sakshi Pareek, Warren Rosario, et al.
Analytical Biochemistry (2023) Vol. 687, pp. 115412-115412
Closed Access | Times Cited: 2
B-HPD: Bagging-based hybrid approach for the early diagnosis of Parkinson’s disease1
Ritika Kumari, Jaspreeti Singh, Anjana Gosain
Intelligent Decision Technologies (2024) Vol. 18, Iss. 2, pp. 1385-1401
Closed Access
Explainable Artificial Intelligence based Detection and Early Diagnosis of Polycystic Ovaries Syndrome using Optimized Hybrid Deep Learning Technique
Amol Bajirao Kale, Preeti Baban Lokhande, Ramshi Purushottam Pathak, et al.
International Journal of Advanced Research in Science Communication and Technology (2024), pp. 364-368
Open Access
Developing A System for Automatic Prediction of Polycystic Ovary Syndrome Using Machine Learning
Kemi Akanbi, Odunayo Gabriel Adepoju, Isaac Kofi Nti
(2024), pp. 20-26
Open Access
Advanced Diagnosis of Polycystic Ovarian Syndrome using Machine Learning and Multimodal Data Integration
Nethra Sai M, V. Sakthivel, P. Prakash, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 6
Open Access
Page 1 - Next Page

Scroll to top