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:

Use of data mining approaches to explore the association between type 2 diabetes mellitus with SARS-CoV-2
Hamideh Ghazizadeh, Neda Shakour, Sahar Ghoflchi, et al.
BMC Pulmonary Medicine (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 17

Showing 17 citing articles:

Using a robust model to detect the association between anthropometric factors and T2DM: machine learning approaches
Nafiseh Hosseini, Hamid Tanzadehpanah, Amin Mansoori, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access | Times Cited: 1

Nutritional intake of micronutrient and macronutrient and type 2 diabetes: machine learning schemes
Mohammad Rashidmayvan, Amin Mansoori, Elahe Derakhshan‐Nezhad, et al.
Journal of Health Population and Nutrition (2025) Vol. 44, Iss. 1
Open Access

Serum Zinc and Copper Concentrations and Dyslipidemia as Risk Factors of Cardiovascular Disease in Adults: Data Mining Techniques
Amin Mansoori, Somayeh Ghiasi Hafezi, Arina Ansari, et al.
Biological Trace Element Research (2024)
Closed Access | Times Cited: 4

White blood cell and platelet distribution widths are associated with hypertension: data mining approaches
Amin Mansoori, Narjes Sadat Farizani Gohari, Leila Etemad, et al.
Hypertension Research (2023) Vol. 47, Iss. 2, pp. 515-528
Closed Access | Times Cited: 11

Prediction of cardiovascular disease risk by serum zinc and copper concentrations and anthropometric measurements
Mohammad Rashidmayvan, Amin Mansoori, Malihe Aghasizadeh, et al.
Journal of Trace Elements in Medicine and Biology (2024) Vol. 83, pp. 127385-127385
Closed Access | Times Cited: 3

Serum uric acid to high‐density lipoprotein ratio as a novel indicator of inflammation is correlated with the presence and severity of metabolic syndrome: A large‐scale study
Rana Kolahi Ahari, Amin Mansoori, Toktam Sahranavard, et al.
Endocrinology Diabetes & Metabolism (2023) Vol. 6, Iss. 6
Open Access | Times Cited: 8

The Community Pharmacy as a Study Center for the Epidemiological Analysis of the Population Vaccination against SARS-CoV-2: Evaluation of Vaccine Safety and Pharmaceutical Service
Jacopo Raffaele Dibenedetto, Michela Cetrone, Marina Antonacci, et al.
Pharmacy (2024) Vol. 12, Iss. 1, pp. 16-16
Open Access | Times Cited: 2

Blood indices of inflammation and their association with hypertension in smokers: analysis using data mining approaches
Sahar Ghoflchi, Amin Mansoori, Muhammad Islampanah, et al.
Journal of Human Hypertension (2024)
Closed Access | Times Cited: 1

Association between biochemical and hematologic factors with COVID-19 using data mining methods
Amin Mansoori, Nafiseh Hosseini, Hamideh Ghazizadeh, et al.
BMC Infectious Diseases (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 3

Uric acid is associated with type 2 diabetes: data mining approaches
Amin Mansoori, Davoud Tanbakuchi, Zahra Fallahi, et al.
Diabetology International (2024) Vol. 15, Iss. 3, pp. 518-527
Closed Access

Hematological Characteristics in Risk Classification of SARS-CoV2 Delta Variant
Di Zhou, Qiqiang Long, Hong Chu, et al.
Authorea (Authorea) (2024)
Open Access

Evaluating the Association of Anthropometric Indices With Total Cholesterol in a Large Population Using Data Mining Algorithms
Sahar Arab Yousefabadi, Somayeh Ghiasi Hafezi, A Kooshki, et al.
Journal of Clinical Laboratory Analysis (2024)
Open Access

Comparison between Statistical and Machine Learning Methods to detect the Hematological indices with the greatest influence on Elevated Serum Levels of Low-Density Lipoprotein Cholesterol
Somayeh Ghiasi Hafezi, Bahareh Behkamal, Mohammad Rashidmayvan, et al.
Chemistry and Physics of Lipids (2024), pp. 105446-105446
Closed Access

Predicting high sensitivity C-reactive protein levels and their associations in a large population using decision tree and linear regression
Somayeh Ghiasi Hafezi, Toktam Sahranavard, A Kooshki, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

Association between serum hypertriglyceridemia and hematological indices: data mining approaches
Somayeh Ghiasi Hafezi, Amin Mansoori, A Kooshki, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access

The relationship between anthropometric indices and the presence of hypertension in an Iranian population sample using data mining algorithms
Amin Mansoori, Najmeh Seifi, Reihaneh Vahabzadeh, et al.
Journal of Human Hypertension (2023) Vol. 38, Iss. 3, pp. 277-285
Closed Access | Times Cited: 1

Optimal Control Strategy of a Mathematical Model for the Fifth Wave of COVID-19 Outbreak (Omicron) in Thailand
Jiraporn Lamwong, Napasool Wongvanich, I‐Ming Tang, et al.
Mathematics (2023) Vol. 12, Iss. 1, pp. 14-14
Open Access | Times Cited: 1

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