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.

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Showing 1-25 of 26 citing articles:

Recent applications of machine learning and deep learning models in the prediction, diagnosis, and management of diabetes: a comprehensive review
Elaheh Afsaneh, Amin Sharifdini, Hadi Ghazzaghi, et al.
Diabetology & Metabolic Syndrome (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 53

Development and validation of an insulin resistance model for a population without diabetes mellitus and its clinical implication: a prospective cohort study
Shang‐Feng Tsai, Chao‐Tung Yang, Wei-Ju Liu, et al.
EClinicalMedicine (2023) Vol. 58, pp. 101934-101934
Open Access | Times Cited: 31

A Prediction Model for Osteoporosis Risk Using a Machine-Learning Approach and Its Validation in a Large Cohort
Xuangao Wu, Sunmin Park
Journal of Korean Medical Science (2023) Vol. 38, Iss. 21
Open Access | Times Cited: 19

Association of Polygenic Variants with Type 2 Diabetes Risk and Their Interaction with Lifestyles in Asians
Haeng Jeon Hur, Hye Jeong Yang, Min Jung Kim, et al.
Nutrients (2022) Vol. 14, Iss. 15, pp. 3222-3222
Open Access | Times Cited: 23

Fecal Microbiota Composition, Their Interactions, and Metagenome Function in US Adults with Type 2 Diabetes According to Enterotypes
Sunmin Park, Ting Zhang, Suna Kang
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 11, pp. 9533-9533
Open Access | Times Cited: 11

Effects of Various Heavy Metal Exposures on Insulin Resistance in Non-diabetic Populations: Interpretability Analysis from Machine Learning Modeling Perspective
Jun Liu, Xingyu Li, Peng Zhu
Biological Trace Element Research (2024) Vol. 202, Iss. 12, pp. 5438-5452
Closed Access | Times Cited: 4

Polygenic Variants Linked to Oxidative Stress and the Antioxidant System Are Associated with Type 2 Diabetes Risk and Interact with Lifestyle Factors
Young‐Jin Choi, Hyuk-Ku Kwon, Sunmin Park
Antioxidants (2023) Vol. 12, Iss. 6, pp. 1280-1280
Open Access | Times Cited: 10

Validation of the Framingham Diabetes Risk Model Using Community-Based KoGES Data
Hye Ah Lee, Hyesook Park, Young Sun Hong
Journal of Korean Medical Science (2024) Vol. 39
Open Access | Times Cited: 3

Application of machine learning in affordable and accessible insulin management for type 1 and 2 diabetes: A comprehensive review
Maryam Eghbali‐Zarch, Sara Masoud
Artificial Intelligence in Medicine (2024) Vol. 151, pp. 102868-102868
Closed Access | Times Cited: 2

Relationship between triglyceride-glucose index and endometriosis: a cross-sectional analysis
Yue Cao, Qian Yang, Qiqing Mai, et al.
BMC Women s Health (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2

Fecal Bacterial Community and Metagenome Function in Asians with Type 2 Diabetes, According to Enterotypes
Xuangao Wu, Sunmin Park
Biomedicines (2022) Vol. 10, Iss. 11, pp. 2998-2998
Open Access | Times Cited: 12

Diabetes Mellitus in Pancreatic Cancer: A Distinct Approach to Older Subjects with New-Onset Diabetes Mellitus
Jan Bureš, Darina Kohoutová, J Škrha, et al.
Cancers (2023) Vol. 15, Iss. 14, pp. 3669-3669
Open Access | Times Cited: 6

Predict Diabetes Using Voting Classifier and Hyper Tuning Technique
Chra Ali Kamal, Manal Ali Atiyah
Kurdistan Journal of Applied Research (2023), pp. 115-130
Open Access | Times Cited: 2

Simple Method to Predict Insulin Resistance in Children Aged 6–12 Years by Using Machine Learning
Qian Zhang, Naijun Wan
Diabetes Metabolic Syndrome and Obesity (2022) Vol. Volume 15, pp. 2963-2975
Open Access | Times Cited: 3

Discriminating insulin resistance in middle-aged nondiabetic women using machine learning approaches
Zailing Xing, Henian Chen, Amy C. Alman
AIMS Public Health (2024) Vol. 11, Iss. 2, pp. 667-687
Open Access

Biomarkers of insulin sensitivity/resistance
Constantine E. Kosmas, Andreas Sourlas, Konstantinos Oikonomakis, et al.
Journal of International Medical Research (2024) Vol. 52, Iss. 10
Open Access

Analyzing the influence of particle size distribution on the maximum shear modulus of soil with an interpretable machine learning framework and laboratory test dataset
Xingyang Liu, Degao Zou, Yuan Chen, et al.
Soil Dynamics and Earthquake Engineering (2024) Vol. 188, pp. 109031-109031
Closed Access

Associations between C-reactive protein-triglyceride glucose index and Endometriosis: the NHANES 1999-2006
Yanan Ren, Ren Xu, Junqin Zhang, et al.
Research Square (Research Square) (2024)
Open Access

Association of Pooled Fecal Microbiota on Height Growth in Children According to Enterotypes
Sunmin Park, Suna Kang
Journal of Pediatric Gastroenterology and Nutrition (2023) Vol. 77, Iss. 6, pp. 801-810
Closed Access | Times Cited: 1

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