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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:

An artificial intelligence-based decision support system for early diagnosis of polycystic ovaries syndrome
Ejay Nsugbe
Healthcare Analytics (2023) Vol. 3, pp. 100164-100164
Open Access | Times Cited: 17

Showing 17 citing articles:

Artificial Intelligence in Regenerative Medicine: Applications and Implications
Hamed Nosrati, Masoud Nosrati
Biomimetics (2023) Vol. 8, Iss. 5, pp. 442-442
Open Access | Times Cited: 59
Fuzzy machine learning logic utilization on hormonal imbalance dataset
Rabia Khushal, Ubaida Fatima
Computers in Biology and Medicine (2024) Vol. 174, pp. 108429-108429
Closed Access | Times Cited: 7
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
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
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
Artificial Intelligence in Predicting Hard Tissue Regeneration: Current Situation and Upcoming Perspectives
Nura Brimo, Dilek Çökeli̇ler Serdaroğlu, Halit Muhittin, et al.
(2025), pp. 73-86
Closed Access
An integrated adaptive bilateral filter-based framework and attention residual U-net for detecting polycystic ovary syndrome
Pradeep Bedi, S. B. Goyal, Anand Singh Rajawat, et al.
Decision Analytics Journal (2023) Vol. 10, pp. 100366-100366
Open Access | Times Cited: 8
Nutritional management recommendation systems in polycystic ovary syndrome: a systematic review
Leila Shahmoradi, Leila Azadbakht, Jebraeil Farzi, et al.
BMC Women s Health (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
How scanning probe microscopy can be supported by artificial intelligence and quantum computing?
Agnieszka Pręgowska, Agata Roszkiewicz, Magdalena Osial, et al.
Microscopy Research and Technique (2024)
Open Access | Times Cited: 2
Diagnosis of Polycystic Ovary Syndrome Using Feature Selection-Based Machine Learning Algorithms
Savneet Kaur, Shweta Taneja, Vidisha Khetarpal, et al.
Lecture notes in networks and systems (2024), pp. 385-393
Closed Access | Times Cited: 1
Artificial intelligence and sexual reproductive health and rights: a technological leap towards achieving sustainable development goal target 3.7
Fred Yao Gbagbo, Edward Kwabena Ameyaw, Sanni Yaya
Reproductive Health (2024) Vol. 21, Iss. 1
Open Access | Times Cited: 1
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
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
Applications of artificial intelligence in regenerative dentistry: promoting stem cell therapy and the scaffold development
Elham Saberian, Andrej Jenča, Andrej Jenča, et al.
Frontiers in Cell and Developmental Biology (2024) Vol. 12
Open Access
Inception and LightGBM-based Model for Poly-Cystic Ovary Syndrome Detection with CNN in Ultra-sound Images
Shalini Puri, Akanksha Soni, Vishal Choudhary
(2024), pp. 1-8
Closed Access
An Experimental Analysis Based on Automated Detection of Polycystic Ovary Syndrome on Ultrasound Image using Deep Learning Models
N. R Gladiss Merlin, S. Sangeetha, Pachhaiammal Alias Priya M, et al.
(2023), pp. 1-7
Closed Access
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