Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 innovative model for predicting coronary heart disease using triglyceride-glucose index: a machine learning-based cohort study
Seyed Reza Mirjalili, Sepideh Soltani, Zahra Heidari Meybodi, et al.
Cardiovascular Diabetology (2023) Vol. 22, Iss. 1
Open Access | Times Cited: 21

Showing 21 citing articles:

Association between different insulin resistance surrogates and all-cause mortality in patients with coronary heart disease and hypertension: NHANES longitudinal cohort study
Xin-Zheng Hou, Yanfei Lv, Yushan Li, et al.
Cardiovascular Diabetology (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 61
Association between triglyceride-glucose related indices and mortality among individuals with non-alcoholic fatty liver disease or metabolic dysfunction-associated steatotic liver disease
Qingling Chen, Pingping Hu, Xiaoxue Hou, et al.
Cardiovascular Diabetology (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 22
Coronary artery disease incidence, risk factors, awareness, and medication utilization in a 10-year cohort study
Mohammadtaghi Sarebanhassanabadi, Seyed Reza Mirjalili, Pedro Marques‐Vidal, et al.
BMC Cardiovascular Disorders (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 11
Which surrogate insulin resistance indices best predict coronary artery disease? A machine learning approach
Seyed Reza Mirjalili, Sepideh Soltani, Zahra Heidari Meybodi, et al.
Cardiovascular Diabetology (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 10
The triglyceride-glucose index predicts 1-year major adverse cardiovascular events in end-stage renal disease patients with coronary artery disease
Enmin Xie, Zixiang Ye, Yaxin Wu, et al.
Cardiovascular Diabetology (2023) Vol. 22, Iss. 1
Open Access | Times Cited: 18
Association of triglyceride-glucose-body mass index with all-cause and cardiovascular mortality among individuals with chronic kidney disease
Tao Chen, Hao Wan, Yixing Luo, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8
Triglyceride-glucose index is associated with myocardial ischemia and poor prognosis in patients with ischemia and no obstructive coronary artery disease
Wen Zhang, Lu Liu, Guoqing Yin, et al.
Cardiovascular Diabetology (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 6
Machine-learning-based models to predict cardiovascular risk using oculomics and clinic variables in KNHANES
Yuqi Zhang, Sijin Li, Weijie Wu, et al.
BioData Mining (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 4
Feasibility of tongue image detection for coronary artery disease: based on deep learning
Mengyao Duan, Boyan Mao, Zijian Li, et al.
Frontiers in Cardiovascular Medicine (2024) Vol. 11
Open Access | Times Cited: 4
Association between Surrogate Insulin Resistance markers and Post-Ablation Atrial Fibrillation Recurrence: A Systematic Review and Meta-Analysis
Hamed Ghoshouni, Alireza Sepehri Shamloo, Seyed Reza Mirjalili, et al.
Heart Rhythm (2025)
Closed Access
Associations between triglyceride-glucose related indices and the risk of incident pancreatic cancer: a large-scale prospective cohort study in the UK Biobank
Zelong Wu, Jiayu Yang, Zuyi Ma, et al.
BMC Cancer (2025) Vol. 25, Iss. 1
Open Access
Model Construction and Validation for the Joint Prediction of Coronary Heart Disease Based on the TyG Index
月晓 王
Advances in Clinical Medicine (2025) Vol. 15, Iss. 02, pp. 1161-1169
Closed Access
Machine learning reveals serum myristic acid, palmitic acid and heptanoylcarnitine as biomarkers of coronary artery disease risk in patients with type 2 diabetes mellitus
Ting Hu, Wen Zhang, Feifei Han, et al.
Clinica Chimica Acta (2024) Vol. 556, pp. 117852-117852
Closed Access | Times Cited: 1
The association between the triglyceride-glucose index and serum anti-aging protein α- Klotho: a population-based study
Yan Zhang, Kexin Song, Zhuhua Yao
Diabetology & Metabolic Syndrome (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 1
Triglyceride–glucose index and serum uric acid on the prediction of major adverse cardiovascular and cerebrovascular events after PCI: a retrospective cohort study
Likun Huo, Su‐Tao Hu, Yukun Zhang, et al.
Research Square (Research Square) (2024)
Open Access
Cardiovascular Disease Prediction Using Super Learner
O Olusanya, Olusogo Popoola, Alex Shenfield
(2024)
Closed Access
Which Surrogate Insulin Resistance Indices Best Predict Coronary artery disease? a machine learning approach
Seyed Reza Mirjalili, Sepideh Soltani, Zahra Heidari Meybodi, et al.
Research Square (Research Square) (2024)
Open Access
The Associations between the Tyg Index and the Risk of Common Chronic Non-Communicable Diseases -A Systematic Review and Meta-Analysis
Hongyu Li, Guoheng Jiang, Min Mao, et al.
(2024)
Closed Access
Cardiovascular Disease Prediction Using Super Learner
Olusogo Popoola, O Olusanya, Alex Shenfield
(2024)
Open Access
Heart Disease Prediction Using Ensemble Techniques and Explainable AI Validation
Hardik Dulani, Uday H. Nambissan, Naman Gupta, et al.
Learning and analytics in intelligent systems (2024), pp. 278-287
Closed Access
Development of machine learning Predictive Model for Type 2 Diabetic Retinopathy Using the Triglyceride-glucose index explained by SHAP method
Xiaoqin Liu, Song Wu, Yue Yang, et al.
Research Square (Research Square) (2024)
Closed Access
Page 1

Scroll to top