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:

A diabetes prediction model based on Boruta feature selection and ensemble learning
Hongfang Zhou, Yinbo Xin, Suli Li
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

An improved soft voting-based machine learning technique to detect breast cancer utilizing effective feature selection and SMOTE-ENN class balancing
Indu Chhillar, Ajmer Singh
Discover Artificial Intelligence (2025) Vol. 5, Iss. 1
Open Access | Times Cited: 3
Efficient diagnosis of diabetes mellitus using an improved ensemble method
Blessing Oluwatobi Olorunfemi, Adewale Opeoluwa Ogunde, Ahmad Almogren, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Hi-Le and HiTCLe: Ensemble Learning Approaches for Early Diabetes Detection Using Deep Learning and Explainable Artificial Intelligence
Ifra Shaheen, Nadeem Javaid, Nabil Alrajeh, et al.
IEEE Access (2024) Vol. 12, pp. 66516-66538
Open Access | Times Cited: 10
Robust predictive framework for diabetes classification using optimized machine learning on imbalanced datasets
Inam Abousaber, H. Abdallah, Hany El-Ghaish
Frontiers in Artificial Intelligence (2025) Vol. 7
Open Access | Times Cited: 1
Random forest algorithm for predicting postoperative hypotension in oral cancer resection and free flap reconstruction surgery
Shuiting Zhang, Yanling Zhang, Xinyu Ouyang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Dual-stage explainable ensemble learning model for diabetes diagnosis
Ibrahim A. Elgendy, Mohamed Hosny, Mousa Albashrawi, et al.
Expert Systems with Applications (2025), pp. 126899-126899
Closed Access | Times Cited: 1
An Innovative Ensemble Deep Learning Clinical Decision Support System for Diabetes Prediction
Mana Saleh Al Reshan, Samina Amin, Muhammad Ali Zeb, et al.
IEEE Access (2024) Vol. 12, pp. 106193-106210
Open Access | Times Cited: 7
Diabetes mellitus early warning and factor analysis using ensemble Bayesian networks with SMOTE-ENN and Boruta
Xuchun Wang, Jiahui Ren, Hao Ren, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 14
Novel immune cross-talk between inflammatory bowel disease and IgA nephropathy
Qianqian Yan, Zihao Zhao, Dongwei Liu, et al.
Renal Failure (2024) Vol. 46, Iss. 1
Open Access | Times Cited: 5
Analyzing classification and feature selection strategies for diabetes prediction across diverse diabetes datasets
Jayakumar Kaliappan, Indrajeet Kumar, S. Sundaravelan, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 5
Explainable deep learning for diabetes diagnosis with DeepNetX2
Sharia Arfin Tanim, Al Rafi Aurnob, Tahmid Enam Shrestha, et al.
Biomedical Signal Processing and Control (2024) Vol. 99, pp. 106902-106902
Closed Access | Times Cited: 5
Machine learning pipeline for blood culture outcome prediction using Sysmex XN-2000 blood sample results in Western Australia
Benjamin McFadden, Timothy J. J. Inglis, Mark Reynolds
BMC Infectious Diseases (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 10
Type 2 diabetes prediction method based on dual-teacher knowledge distillation and feature enhancement
Jian Zhao, Hanlin Gao, Lei Sun, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
An Effective Methodology for Diabetes Prediction in the Case of Class Imbalance
Borislava Toleva, I. Atanasov, Ivan Ivanov, et al.
Bioengineering (2025) Vol. 12, Iss. 1, pp. 35-35
Open Access
Development and Application of an Early Prediction Model for Risk of Bloodstream Infection based on Real-world Study
Xiefei Hu, Shenshen Zhi, Li Yang, et al.
Research Square (Research Square) (2025)
Closed Access
Advanced Machine Learning Algorithms for Personalized Diabetic Foot Ulcer Treatment
Madan Mohan Tito Ayyalasomayajula
IGI Global eBooks (2025), pp. 347-372
Closed Access
An improved decision tree model through hyperparameter optimization using a modified gray wolf optimization for diabetes classification
Muhammad Sam’an, Farikhin, Muhammad Munsarif
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-17
Closed Access
Hybrid Random Feature Selection and Recurrent Neural Network for Diabetes Prediction
Oyebayo Ridwan Olaniran, Aliu Omotayo Sikiru, Jeza Allohibi, et al.
Mathematics (2025) Vol. 13, Iss. 4, pp. 628-628
Open Access
Performance Analysis of Machine Learning Classifiers on CICIDS2017 Dataset
Pochamreddy Mukesh Reddy, Lav Upadhyay, Lanka Rakesh
Lecture notes in electrical engineering (2025), pp. 365-382
Closed Access
Comprehensive Evaluation, Prediction, and Optimization of Sintering State
Mingyu Wang, Mansheng Chu, Jue Tang, et al.
Metallurgical and Materials Transactions B (2025)
Closed Access
Hybrid Machine Learning Models for Accurate Type 2 Diabetes Mellitus Prediction Using a Stacking Classifier and a Meta-Model Approach
Md. Golam Rashed, Md. Imran Hossain, Akif Mahdi, et al.
Cureus Journal of Computer Science. (2025)
Closed Access
Exploring the Influence of Pottery Jar Formula Variables on Flavor Substances Through Feature Ranking and Machine Learning: Case Study of Maotai-Flavored Baijiu
Haili Yang, Xinjun Hu, Jun Tian, et al.
Foods (2025) Vol. 14, Iss. 6, pp. 1063-1063
Open Access
Boruta Feature Selection and Deep Learning for Alzheimer’s Disease Classification
Ramu S. Siddaganga, Nagaraj Naik, H A Dinesha
International Journal of Statistics in Medical Research (2025) Vol. 14, pp. 145-152
Closed Access
Prognostic nutritional index and diabetic peripheral neuropathy in type 2 diabetes: a machine learning approach
Ya Wu, Danmeng Dong, Yang Liu, et al.
Nutrition & Metabolism (2025) Vol. 22, Iss. 1
Open Access
Development of an early prediction model for vomiting during hemodialysis using LASSO regression and Boruta feature selection
Jiajia Chen, Cheng Shen, Haiyan Xue, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Page 1 - Next Page

Scroll to top