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:
Using Artificial Neural Network in Diagnosis of Polycystic Ovary Syndrome
Amila Ahmetasevic, Lejla Alicelebic, Berina Bajric, et al.
2022 11th Mediterranean Conference on Embedded Computing (MECO) (2022), pp. 1-4
Closed Access | Times Cited: 7
Amila Ahmetasevic, Lejla Alicelebic, Berina Bajric, et al.
2022 11th Mediterranean Conference on Embedded Computing (MECO) (2022), pp. 1-4
Closed Access | Times Cited: 7
Showing 7 citing articles:
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: 5
Pulkit Verma, Pratibha Maan, Rohit Gautam, et al.
Reproductive Sciences (2024) Vol. 31, Iss. 10, pp. 2901-2915
Closed Access | Times Cited: 5
Human-Artificial Intelligence Collaborations in Polycystic Ovary Syndrome (PCOS) Clinical Trials and Research
Wasswa Shafik
(2025), pp. 307-330
Closed Access
Wasswa Shafik
(2025), pp. 307-330
Closed Access
Implementation of Various Machine Learning Algorithms to Predict Polycystic Ovary Syndrome
K. Prajna, Balasubramanian Iyer, Chander Bhuvan, et al.
(2023)
Closed Access | Times Cited: 3
K. Prajna, Balasubramanian Iyer, Chander Bhuvan, et al.
(2023)
Closed Access | Times Cited: 3
Sine cosine algorithm-based feature selection for improved machine learning models in polycystic ovary syndrome diagnosis
Ishwari Singh Rajput, Sonam Tyagi, Aditya Gupta, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 30, pp. 75007-75031
Closed Access
Ishwari Singh Rajput, Sonam Tyagi, Aditya Gupta, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 30, pp. 75007-75031
Closed 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
Kemi Akanbi, Odunayo Gabriel Adepoju, Isaac Kofi Nti
(2024), pp. 20-26
Open Access
A Systematic Review based on the Detection of PCOS using Machine Learning Techniques
S Oviya Graselin, T. Arunprasath, M. Pallikonda Rajasekaran, et al.
(2023) Vol. 2, pp. 1855-1861
Closed Access | Times Cited: 1
S Oviya Graselin, T. Arunprasath, M. Pallikonda Rajasekaran, et al.
(2023) Vol. 2, pp. 1855-1861
Closed Access | Times Cited: 1
Machine Learning Algorithms for Polycystic Ovary Syndrome/Polycystic Ovarian Syndrome Detection: A Comparison
Narinder Kaur, Ganesh Gupta, Abdul Hafiz, et al.
Algorithms for intelligent systems (2023), pp. 453-465
Closed Access
Narinder Kaur, Ganesh Gupta, Abdul Hafiz, et al.
Algorithms for intelligent systems (2023), pp. 453-465
Closed Access
Advancing Polycystic Ovary Syndrome Diagnosis: A Holistic Ensemble-Based Machine Learning Approach
Mohammed Usman F, Afrah Ayub, Thirumala Akash K, et al.
(2023), pp. 1-7
Closed Access
Mohammed Usman F, Afrah Ayub, Thirumala Akash K, et al.
(2023), pp. 1-7
Closed Access
