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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:

A Review on the Detection Techniques of Polycystic Ovary Syndrome Using Machine Learning
Samia Ahmed, Md. Sazzadur Rahman, Ismate Jahan, et al.
IEEE Access (2023) Vol. 11, pp. 86522-86543
Open Access | Times Cited: 12

Showing 12 citing articles:

Exploring the Molecular Interaction of PCOS and Endometrial Carcinoma through Novel Hyperparameter-Optimized Ensemble Clustering Approaches
Pınar Karadayı Ataş
Mathematics (2024) Vol. 12, Iss. 2, pp. 295-295
Open Access | Times Cited: 6
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
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
Empowering Women's Health: Machine Learning for PCOS Detection and Prediction
Vasu Avasthi, Ashish Kumar, Aditya Bhardwaj, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 2
Polycystic ovary syndrome detection using optimized SVM and DenseNet
E. Silambarasan, Nirmala Gnanasundaram, Ishani Mishra
International Journal of Information Technology (2024)
Closed Access | Times Cited: 2
Exploring Deep Learning and Machine Learning Approaches for Brain Hemorrhage Detection
Samia Ahmed, Jannatul Ferdous Esha, Md. Sazzadur Rahman, et al.
IEEE Access (2024) Vol. 12, pp. 45060-45093
Open Access
Unravelling the Enigma of Polycystic Ovary Syndrome (PCOS): Using MLAlgorithms
Sonam Juneja, Bhoopesh Singh Bhati, Shikha Atwal, et al.
(2024), pp. 1480-1485
Closed Access
AI-driven Detection of PCOS for Personalized Health Improvement
Preeti Khanwalkar, M. Preethi, K. Divya, et al.
(2024), pp. 1-6
Closed Access
PCOS Detection and Monitoring using Machine Learning
Bhargavi Nimmala, Udaya Deepthi Nimmala, Akhilesh Elangi, et al.
(2024) Vol. 1, pp. 238-242
Closed Access
Improving PCOS Diagnosis Accuracy with CNN-Based Image Analysis
Kbks Durga, M. Shanmuga Sundari, Ayesha Shaik, et al.
Communications in computer and information science (2024), pp. 42-50
Closed Access
A Novel Deep Learning Technique Based Automatic Detection of Polycystic Ovary Syndrome Using Ultrasound Images
J. Prathibanandhi, G.S. Annie Grace Vimala
2022 7th International Conference on Communication and Electronics Systems (ICCES) (2024), pp. 1077-1081
Closed 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
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