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:

SMOTE-NC and gradient boosting imputation based random forest classifier for predicting severity level of covid-19 patients with blood samples
Elif Ceren Gök, Mehmet Onur Olgun
Neural Computing and Applications (2021) Vol. 33, Iss. 22, pp. 15693-15707
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Exploring obesity, physical activity, and digital game addiction levels among adolescents: A study on machine learning-based prediction of digital game addiction
Mehmet Gülü, Fatma Hilal Yağın, İshak Gocer, et al.
Frontiers in Psychology (2023) Vol. 14
Open Access | Times Cited: 31
Artificial intelligence and discrete-event simulation for capacity management of intensive care units during the Covid-19 pandemic: A case study
Miguel Ortíz‐Barrios, Sebastián Arias-Fonseca, Alessio Ishizaka, et al.
Journal of Business Research (2023) Vol. 160, pp. 113806-113806
Open Access | Times Cited: 22
Predictive models for COVID-19 detection using routine blood tests and machine learning
Yury V. Kistenev, Denis A. Vrazhnov, Ekaterina E. Shnaider, et al.
Heliyon (2022) Vol. 8, Iss. 10, pp. e11185-e11185
Open Access | Times Cited: 26
Using weak signals to predict spontaneous breathing trial success: a machine learning approach
Romain Lombardi, Mathieu Jozwiak, Jean Dellamonica, et al.
Intensive Care Medicine Experimental (2025) Vol. 13, Iss. 1
Open Access
Class-Balanced Protein Interaction Site Prediction Using Global and Local Features with XGBoost and Deep Learning
Bharath C. Kulkarni, B.V.S.T. Sai, Varun Kolagad, et al.
SN Computer Science (2025) Vol. 6, Iss. 2
Closed Access
AI-Driven Health Insurance Cross-Sell Prediction Using Data Analytics
Jasmin Z. K. Chu, Joel Chia Ming Than, Hudyjaya Siswoyo Jo, et al.
Journal of Computer Information Systems (2025), pp. 1-19
Open Access
From machine learning to deep learning: A comprehensive study of alcohol and drug use disorder
Banafsheh Rekabdar, David L. Albright, Justin T. McDaniel, et al.
Healthcare Analytics (2022) Vol. 2, pp. 100104-100104
Open Access | Times Cited: 13
HSS: enhancing IoT malicious traffic classification leveraging hybrid sampling strategy
Yuantu Luo, Jun Tao, Yuehao Zhu, et al.
Cybersecurity (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 2
Enhanced interpretable thyroid disease diagnosis by leveraging synthetic oversampling and machine learning models
Ali Raza, Fatma Eid, Elisabeth Caro Montero, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Interpretable high-stakes decision support system for credit default forecasting
Weixin Sun, X. J. Zhang, Ming‐Hao Li, et al.
Technological Forecasting and Social Change (2023) Vol. 196, pp. 122825-122825
Closed Access | Times Cited: 6
Quantitative analysis of fertilizer using laser-induced breakdown spectroscopy combined with random forest algorithm
Lai Wei, Yu Ding, Jing Chen, et al.
Frontiers in Chemistry (2023) Vol. 11
Open Access | Times Cited: 6
A criminal macrocause classification model: An enhancement for violent crime analysis considering an unbalanced dataset
RAMIRO DA CONCEIÇÃO DO NASCIMENTO JÚNIOR, João Vítor Venceslau Coelho, Nélio Cacho, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121702-121702
Closed Access | Times Cited: 4
Analysis of risk factors and establishment of prediction model for lower extremity deep vein thrombosis after lumbar fusion surgery
Yixiang Zhao, Xiangzhen Kong, Kangle Song, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Resistin predicts disease severity and survival in patients with pulmonary arterial hypertension
Li Gao, John Skinner, Tanmay Nath, et al.
Respiratory Research (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 1
COVID-19 Severity Prediction Using Combined Machine Learning and Transfer Learning Approaches
Ame Rayan Rambola, A. Suruliandi, S. P. Raja
Brazilian Archives of Biology and Technology (2024) Vol. 67
Open Access | Times Cited: 1
An efficient stacked ensemble model for the detection of COVID-19 and skin cancer using fused feature of transfer learning and handcrafted methods
B. H. Shekar, Habtu Hailu
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2022) Vol. 11, Iss. 3, pp. 878-894
Closed Access | Times Cited: 6
Distribution system state estimation with Transformer-Bi-LSTM-based imputation model for missing measurements
Y. Raghuvamsi, Kiran Teeparthi
Neural Computing and Applications (2023) Vol. 36, Iss. 3, pp. 1295-1312
Closed Access | Times Cited: 3
DCACorrCapsNet: A deep channel‐attention correlative capsule network for COVID‐19 detection based on multi‐source medical images
Aite Zhao, Huimin Wu, Ming Chen, et al.
IET Image Processing (2022) Vol. 17, Iss. 4, pp. 988-1000
Open Access | Times Cited: 5
Determining latent features and forecasting of COVID-19 hospitalisations in Malaysia using a national patient assessment data platform: a study of machine learning modelling against expert system
Hui-Jia Yee, Ivan Boo, Ian K. T. Tan, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Analisis Sentimen Aplikasi Primaku Menggunakan Algoritma Random Forest dan SMOTE untuk Mengatasi Ketidakseimbangan Data
Riska Aryanti, Titik Misriati, Asriyani Sagiyanto
Journal of Computer System and Informatics (JoSYC) (2023) Vol. 5, Iss. 1, pp. 218-227
Open Access | Times Cited: 2
Early Prediction of ICU Admission Within COVID-19 Patients Using Machine Learning Techniques
Ikram Maouche, Labib Sadek Terrissa, K. Benmohammed, et al.
Lecture notes in networks and systems (2022), pp. 507-517
Closed Access | Times Cited: 4
Human Gender Classification of Males and Females in a Crowd Using Deep Learning Techniques
Khushboo Kachhawa, Anita Mahajan
(2024), pp. 73-86
Closed Access
Evaluating biomedical feature fusion on machine learning’s predictability and interpretability of COVID-19 severity types
Haleigh West-Page, Kevin McGoff, Harrison Latimer, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Identification of Biomarkers for Severity in COVID-19 Through Comparative Analysis of Five Machine Learning Algoritms
Juan P. Olán-Ramón, Freddy De la Cruz-Ruiz, Eduardo De la Cruz-Cano, et al.
F1000Research (2024) Vol. 13, pp. 688-688
Open Access
Multi-Class Imbalance Classification of Diabetes Cases Using Light Gradient Boosting Machine
Indah Manfaati Nur, Dedi Rosadi, Abdurakhman Abdurakhman
ITM Web of Conferences (2024) Vol. 67, pp. 01012-01012
Open Access
Page 1 - Next Page

Scroll to top