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:

Metabolic syndrome in hypertensive women in the age of menopause: a case study on data from general practice electronic health records
Šefket Šabanović, Majnarić Trtica Ljiljana, František Babič, et al.
BMC Medical Informatics and Decision Making (2018) Vol. 18, Iss. 1
Open Access | Times Cited: 12

Showing 12 citing articles:

AI and Big Data in Healthcare: Towards a More Comprehensive Research Framework for Multimorbidity
Ljiljana Trtica Majnarić, František Babič, Shane O’Sullivan, et al.
Journal of Clinical Medicine (2021) Vol. 10, Iss. 4, pp. 766-766
Open Access | Times Cited: 65

Neutrophil-to-Lymphocyte Ratio as a Cardiovascular Risk Marker May Be Less Efficient in Women Than in Men
Ljiljana Trtica Majnarić, Silva Guljaš, Zvonimir Bosnić, et al.
Biomolecules (2021) Vol. 11, Iss. 4, pp. 528-528
Open Access | Times Cited: 53

Serotonin in Depression and Alzheimer’s Disease: Focus on SSRI’s Beneficial Effects
Jihane Tahiri, Maamoon Mian, Fatima Aftan, et al.
Ageing Research Reviews (2024) Vol. 101, pp. 102537-102537
Closed Access | Times Cited: 4

Cardiovascular risk and aging: the need for a more comprehensive understanding.
Ljiljana Trtica Majnarić, Zvonimir Bosnić, Tomislav Kurevija, et al.
PubMed (2021) Vol. 18, Iss. 6, pp. 462-478
Closed Access | Times Cited: 15

The Utility of Artificial Neural Networks for the Non-Invasive Prediction of Metabolic Syndrome Based on Personal Characteristics
Feng-Hsu Wang, Chih‐Ming Lin
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 24, pp. 9288-9288
Open Access | Times Cited: 8

Semi-Automatic Adaptation of Diagnostic Rules in the Case-Based Reasoning Process
Ľudmila Pusztová, František Babič, Ján Paralič
Applied Sciences (2020) Vol. 11, Iss. 1, pp. 292-292
Open Access | Times Cited: 5

Personalized solutions for menopause through artificial intelligence: Are we there yet?
Zayne Milena Roa‐Díaz, Taulant Muka, Oscar H. Franco
Maturitas (2019) Vol. 129, pp. 85-86
Closed Access | Times Cited: 4

The Use of Artifical Intelligence in Assessing Glucose Variability in Individuals with Diabetes Type 2 from Routine Primary Care Data
Majnarić Ljiljana Trtica, František Babič, Zvonimir Bosnić, et al.
International Journal of Diabetes and Clinical Research (2020) Vol. 7, Iss. 2
Open Access | Times Cited: 3

Depressive symptoms and type II diabetes mellitus among midlife women
Eun‐Ok Im, Jee‐Seon Yi, Wonshik Chee
Menopause The Journal of The North American Menopause Society (2021) Vol. 28, Iss. 6, pp. 650-659
Closed Access | Times Cited: 2

Knowledge-Based Approaches to Intelligent Data Analysis
Peter Bednár, Ján Paralič, František Babič, et al.
Advances in intelligent systems and computing (2020), pp. 75-97
Closed Access

SECI Model in Data-Based Procedure for the Assessment of the Frailty State in Diabetic Patients
František Babič, Viera Anderková, Zvonimir Bosnić, et al.
Lecture notes in computer science (2022), pp. 328-342
Closed Access

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