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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.

Requested Article:

Prediction and Feature Importance Analysis for Severity of COVID-19 in South Korea Using Artificial Intelligence: Model Development and Validation
Heewon Chung, Hoon Ko, Wu Seong Kang, et al.
Journal of Medical Internet Research (2021) Vol. 23, Iss. 4, pp. e27060-e27060
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method
Nihad Karim Chowdhury, Muhammad Ashad Kabir, Md. Muhtadir Rahman, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105405-105405
Open Access | Times Cited: 85
Toward artificial intelligence (AI) applications in the determination of COVID-19 infection severity: considering AI as a disease control strategy in future pandemics
Mustafa Ghaderzadeh, Farkhondh Asadi, Nahid Ramezan Ghorbani, et al.
Iranian Journal of Blood and Cancer (2023) Vol. 15, Iss. 3, pp. 93-111
Open Access | Times Cited: 24
A novel hybrid model combined with ensemble embedded feature selection method for estimating reference evapotranspiration in the North China Plain
Hanmi Zhou, Linshuang Ma, Xiaoli Niu, et al.
Agricultural Water Management (2024) Vol. 296, pp. 108807-108807
Open Access | Times Cited: 11
Healthcare Supply Chain Management under COVID-19 Settings: The Existing Practices in Hong Kong and the United States
Yui‐yip Lau, Maxim A. Dulebenets, Ho-Tung Yip, et al.
Healthcare (2022) Vol. 10, Iss. 8, pp. 1549-1549
Open Access | Times Cited: 29
Combating Covid-19 using machine learning and deep learning: Applications, challenges, and future perspectives
Showmick Guha Paul, Arpa Saha, Al Amin Biswas, et al.
Array (2022) Vol. 17, pp. 100271-100271
Open Access | Times Cited: 27
Uncovering Clinical Risk Factors and Predicting Severe COVID-19 Cases Using UK Biobank Data: Machine Learning Approach
Kenneth Chi-Yin Wong, Yong Xiang, Liangying Yin, et al.
JMIR Public Health and Surveillance (2021) Vol. 7, Iss. 9, pp. e29544-e29544
Open Access | Times Cited: 30
Evaluation of nutritional status and clinical depression classification using an explainable machine learning method
Payam Hosseinzadeh Kasani, Jung Eun Lee, Chihyun Park, et al.
Frontiers in Nutrition (2023) Vol. 10
Open Access | Times Cited: 13
Shear capacity prediction for reinforced concrete deep beams with web openings using artificial intelligence methods
Mona Saleh, Mohammad AlHamaydeh, Mohamed Zakaria
Engineering Structures (2023) Vol. 280, pp. 115675-115675
Closed Access | Times Cited: 10
Mapping the Bibliometrics Landscape of AI in Medicine: Methodological Study
Jin Shi, David Bendig, Horst Christian Vollmar, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e45815-e45815
Open Access | Times Cited: 10
Predicting the Next-Day Perceived and Physiological Stress of Pregnant Women by Using Machine Learning and Explainability: Algorithm Development and Validation
Ada Ng, Boyang Wei, Jayalakshmi Jain, et al.
JMIR mhealth and uhealth (2022) Vol. 10, Iss. 8, pp. e33850-e33850
Open Access | Times Cited: 16
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
Limitations of the Cough Sound-Based COVID-19 Diagnosis Artificial Intelligence Model and its Future Direction: Longitudinal Observation Study
Jina Kim, Yong‐Sung Choi, Young Ju Lee, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e51640-e51640
Open Access | Times Cited: 2
Gender Bias in Artificial Intelligence: Severity Prediction at an Early Stage of COVID-19
Heewon Chung, Chul Park, Wu Seong Kang, et al.
Frontiers in Physiology (2021) Vol. 12
Open Access | Times Cited: 16
Predictive Machine Learning Models and Survival Analysis for COVID-19 Prognosis Based on Hematochemical Parameters
Nicola Altini, Antonio Brunetti, Stefano Mazzoleni, et al.
Sensors (2021) Vol. 21, Iss. 24, pp. 8503-8503
Open Access | Times Cited: 13
Machine Learning–Based Prediction of COVID-19 Mortality With Limited Attributes to Expedite Patient Prognosis and Triage: Retrospective Observational Study
Riccardo Doyle
JMIRx Med (2021) Vol. 2, Iss. 4, pp. e29392-e29392
Open Access | Times Cited: 11
A High-Generalizability Machine Learning Framework for Analyzing the Homogenized Properties of Short Fiber-Reinforced Polymer Composites
Yunmei Zhao, Zhenyue Chen, Xiaobin Jian
Polymers (2023) Vol. 15, Iss. 19, pp. 3962-3962
Open Access | Times Cited: 4
Development of a repeated-measures predictive model and clinical risk score for mortality in ventilated COVID-19 patients
Justyna Bartoszko, George Dranitsaris, M. Elizabeth Wilcox, et al.
Canadian Journal of Anesthesia/Journal canadien d anesthésie (2021) Vol. 69, Iss. 3, pp. 343-352
Open Access | Times Cited: 6
Investigation of factors influencing low physical activity levels in community-dwelling older adults with chronic pain: a cross-sectional study
M. Hida, Ryota Imai, Misa Nakamura, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 2
Investigation of factors influencing low physical activity levels in community-dwelling older adults with chronic pain: a cross-sectional study
M. Hida, Ryota Imai, Misa Nakamura, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
МЕТОДИ АНАЛІЗУ ІНФОРМАТИВНОСТІ В МЕДИЧНИХ СИСТЕМАХ ПІДТРИМКИ ПРИЙНЯТТЯ РІШЕНЬ
Volodymyr Donets, Сергій ШМАТКОВ
INFORMATION TECHNOLOGY AND SOCIETY (2024), Iss. 5 (11), pp. 6-13
Open Access
Identifying Ideal Turbine Locations Using Explainable Ai Techniques
Tharsika Pakeerathan Srirajan, Peter Enevoldsen, Martin Olsen
(2024)
Closed Access
Application of the Unbalanced Ensemble Algorithm for Prognostic Prediction Outcomes of All-Cause Mortality in Coronary Heart Disease Patients Comorbid with Hypertension
Jiaxin Zan, Xiaojing Dong, Hong Yang, et al.
Risk Management and Healthcare Policy (2024) Vol. Volume 17, pp. 1921-1936
Open Access
Development and validation of predictive models for mortality of cases with COVID-19 (Omicron BA.5.2.48 and B.7.14): a retrospective study
Peifang Li, Huiliang Yang, Jinyu Wu, et al.
BMJ Open (2024) Vol. 14, Iss. 10, pp. e082616-e082616
Open Access
Correlation between oxygenation function and laboratory indicators in COVID-19 patients based on non-enhanced chest CT images and construction of an artificial intelligence prediction model
Weiheng Kong, Yujia Liu, Li Wang, et al.
Frontiers in Microbiology (2024) Vol. 15
Open Access
A Taxonomy and Archetypes of AI-Based Health Care Services: Qualitative Study
Marlene Blaß, Henner Gimpel, Philip Karnebogen
Journal of Medical Internet Research (2024) Vol. 26, pp. e53986-e53986
Open Access
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