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:

Comparing different machine learning techniques for predicting COVID-19 severity
Yibai Xiong, Yan Ma, Lianguo Ruan, et al.
Infectious Diseases of Poverty (2022) Vol. 11, Iss. 1
Open Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Using artificial intelligence to improve public health: a narrative review
David B. Olawade, Ojima J. Wada, Aanuoluwapo Clement David-Olawade, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 88
A machine learning and explainable artificial intelligence triage-prediction system for COVID-19
Varada Vivek Khanna, Krishnaraj Chadaga, Niranjana Sampathila, et al.
Decision Analytics Journal (2023) Vol. 7, pp. 100246-100246
Open Access | Times Cited: 37
Prognostic models in COVID-19 infection that predict severity: a systematic review
Chepkoech Buttia, Erand Llanaj, Hamidreza Raeisi‐Dehkordi, et al.
European Journal of Epidemiology (2023) Vol. 38, Iss. 4, pp. 355-372
Open Access | Times Cited: 33
An explainable artificial intelligence approach to understanding drivers of economic energy consumption and sustainability
Praveen Ranjan Srivastava, Sachin Kumar Mangla, Prajwal Eachempati, et al.
Energy Economics (2023) Vol. 125, pp. 106868-106868
Closed Access | Times Cited: 16
Prediction models for COVID-19 disease outcomes
Cynthia Y. Tang, Cheng Gao, Kritika Prasai, et al.
Emerging Microbes & Infections (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 5
A Comprehensive Review of Machine Learning Used to Combat COVID-19
Rahul Gomes, Connor Kamrowski, Jordan Langlois, et al.
Diagnostics (2022) Vol. 12, Iss. 8, pp. 1853-1853
Open Access | Times Cited: 26
Severe COVID-19 is characterised by inflammation and immature myeloid cells early in disease progression
Liam Townsend, Adam H. Dyer, Aifric Naughton, et al.
Heliyon (2022) Vol. 8, Iss. 4, pp. e09230-e09230
Open Access | Times Cited: 25
Evaluation of inflammatory-thrombosis panel as a diagnostic tool for vascular Behçet’s disease
Haoting Zhan, Linlin Cheng, Haizhen Chen, et al.
Clinical Rheumatology (2025)
Closed Access
Residents’ heterogeneous willingness to adopt green roofs in a southern Chinese city revealed via interpretable machine learning
Jia‐Hong Wu, Pan Yang, Ke Yi, et al.
Ecological Indicators (2025) Vol. 171, pp. 113237-113237
Open Access
AI-driven health analysis for emerging respiratory diseases: A case study of Yemen patients using COVID-19 data
Saleh I. Alzahrani, Wael M. S. Yafooz, Ibrahim Aljamaan, et al.
Mathematical Biosciences & Engineering (2025) Vol. 22, Iss. 3, pp. 554-584
Open Access
Spread patterns of COVID-19 in European countries: hybrid deep learning model for prediction and transmission analysis
Anıl Utku, M. Ali Akçayol
Neural Computing and Applications (2024) Vol. 36, Iss. 17, pp. 10201-10217
Open Access | Times Cited: 3
Multi-region machine learning-based novel ensemble approaches for predicting COVID-19 pandemic in Africa
Zurki Ibrahim, Pınar Tulay, Jazuli Abdullahi
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 2, pp. 3621-3643
Open Access | Times Cited: 17
Machine Learning First Response to COVID-19: A Systematic Literature Review of Clinical Decision Assistance Approaches during Pandemic Years from 2020 to 2022
Goizalde Badiola-Zabala, José Manuel López-Guede, Julián Estévez, et al.
Electronics (2024) Vol. 13, Iss. 6, pp. 1005-1005
Open Access | Times Cited: 3
A machine learning model on Real World Data for predicting progression to Acute Respiratory Distress Syndrome (ARDS) among COVID-19 patients
Nicola Lazzarini, Avgoustinos Filippoupolitis, Pedro Manzione, et al.
PLoS ONE (2022) Vol. 17, Iss. 7, pp. e0271227-e0271227
Open Access | Times Cited: 15
Machine learning models for predicting hospitalization and mortality risks of COVID-19 patients
Wallace Duarte de Holanda, Lenardo Chaves e Silva, Álvaro Sobrinho
Expert Systems with Applications (2023) Vol. 240, pp. 122670-122670
Closed Access | Times Cited: 7
Phenotype clustering of hospitalized high-risk patients with COVID-19 — a machine learning approach within the multicentre, multinational PCHF-COVICAV registry
Mateusz Sokolski, Sander Trenson, Konrad Reszka, et al.
Cardiology Journal (2024) Vol. 31, Iss. 4, pp. 512-521
Open Access | Times Cited: 2
A Different Traditional Approach for Automatic Comparative Machine Learning in Multimodality Covid-19 Severity Recognition
Mohammadreza Saraei, Saba Rahmani, Saman Rajebi, et al.
International Journal of Innovation in Engineering (2023) Vol. 3, Iss. 1, pp. 1-12
Open Access | Times Cited: 6
Augmentation strategies for an imbalanced learning problem on a novel COVID-19 severity dataset
Daniel Schaudt, Reinhold von Schwerin, Alexander Hafner, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 6
COVID-19 and cholesterol biosynthesis: Towards innovative decision support systems
Eva Kočar, Sonja Katz, Žiga Pušnik, et al.
iScience (2023) Vol. 26, Iss. 10, pp. 107799-107799
Open Access | Times Cited: 4
A Genetic algorithm aided hyper parameter optimization based ensemble model for respiratory disease prediction with Explainable AI
Balraj Preet Kaur, Harpreet Singh, Rahul Hans, et al.
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0308015-e0308015
Open Access | Times Cited: 1
Utilizing machine learning-based QSAR model to overcome standalone consensus docking limitation in beta-lactamase inhibitors screening: a proof-of-concept study
Thanet Pitakbut, Jennifer Munkert, Wenhui Xi, et al.
BMC Chemistry (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 1
Effectiveness of Tocilizumab in Patients with Severe or Critical Lung Involvement in COVID-19: A Retrospective Study
Daniel Chober, Bogusz Aksak‐Wąs, Katarzyna Bobrek‐Lesiakowska, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 9, pp. 2286-2286
Open Access | Times Cited: 7
Multi-omics and immune cells’ profiling of COVID-19 patients for ICU admission prediction: in silico analysis and an integrated machine learning-based approach in the framework of Predictive, Preventive, and Personalized Medicine
Kun Zhu, Zhong‐Hua Chen, Yi Xiao, et al.
The EPMA Journal (2023) Vol. 14, Iss. 1, pp. 101-117
Open Access | Times Cited: 3
Recent advances in wearable sensors and data analytics for continuous monitoring and analysis of biomarkers and symptoms related to COVID-19
Huijie Li, Jianhe Yuan, Gavin Fennell, et al.
Biophysics Reviews (2023) Vol. 4, Iss. 3
Open Access | Times Cited: 3
The role of pyroptosis-related genes in the diagnosis and subclassification of sepsis
Wencong Ding, Laping Huang, Yifeng Wu, et al.
PLoS ONE (2023) Vol. 18, Iss. 11, pp. e0293537-e0293537
Open Access | Times Cited: 3
Page 1 - Next Page

Scroll to top