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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:

Multivariable mortality risk prediction using machine learning for COVID-19 patients at admission (AICOVID)
Sujoy Kumar Kar, Rajesh Chawla, Sai Praveen Haranath, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Iron metabolism in infections: Focus on COVID-19
Domenico Girelli, Giacomo Marchi, Fabiana Busti, et al.
Seminars in Hematology (2021) Vol. 58, Iss. 3, pp. 182-187
Open Access | Times Cited: 63
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: 32
Application of machine learning in predicting survival outcomes involving real-world data: a scoping review
Yinan Huang, Jieni Li, Mai Suan Li, et al.
BMC Medical Research Methodology (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 25
The economics of deep and machine learning-based algorithms for COVID-19 prediction, detection, and diagnosis shaping the organizational management of hospitals
George Lăzăroiu, Tom Gedeon, Elżbieta Rogalska, et al.
Oeconomia Copernicana (2024) Vol. 15, Iss. 1, pp. 27-58
Open Access | Times Cited: 11
Using Machine Learning to Predict Mortality for COVID-19 Patients on Day 0 in the ICU
Elham Jamshidi, Amirhossein Asgary, Nader Tavakoli, et al.
Frontiers in Digital Health (2022) Vol. 3
Open Access | Times Cited: 31
COVID-19 Risk Stratification and Mortality Prediction in Hospitalized Indian Patients: Harnessing clinical data for public health benefits
Shanmukh Alle, Akshay Kanakan, Samreen Siddiqui, et al.
PLoS ONE (2022) Vol. 17, Iss. 3, pp. e0264785-e0264785
Open Access | Times Cited: 28
Estimating the number of primary versus incidental COVID-19 hospitalizations in Santa Clara County
Rosamond Smith, Alexis D’Agostino, Pamela Stoddard, et al.
Open Forum Infectious Diseases (2025) Vol. 12, Iss. 3
Open Access
Cardiovascular signatures of COVID-19 predict mortality and identify barrier stabilizing therapies
Dakota Gustafson, Michelle Ngai, Ruilin Wu, et al.
EBioMedicine (2022) Vol. 78, pp. 103982-103982
Open Access | Times Cited: 24
AD-CovNet: An exploratory analysis using a hybrid deep learning model to handle data imbalance, predict fatality, and risk factors in Alzheimer's patients with COVID-19
Shamima Akter, Depro Das, Rakib Ul Haque, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105657-105657
Open Access | Times Cited: 21
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
Chatbots and Their Applications in Medical Fields: Current Status and Future Trends: A Scoping Review
Vibhu Krishnan Viswanathan, Vijay Kumar Jain, Abhishek Vaish, et al.
Apollo Medicine (2024) Vol. 21, Iss. 4, pp. 386-392
Open Access | Times Cited: 3
Prediction of prognosis in COVID-19 patients using machine learning: A systematic review and meta-analysis
Ruiyao Chen, Jiayuan Chen, Sen Yang, et al.
International Journal of Medical Informatics (2023) Vol. 177, pp. 105151-105151
Closed Access | Times Cited: 9
Early and fair COVID-19 outcome risk assessment using robust feature selection
Felipe Giuste, Lawrence He, Peter Lais, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9
Predicting prognosis in COVID-19 patients using machine learning and readily available clinical data
T. Campbell, Melissa P. Wilson, Heinrich Röder, et al.
International Journal of Medical Informatics (2021) Vol. 155, pp. 104594-104594
Open Access | Times Cited: 20
Preparing for the next pandemic via transfer learning from existing diseases with hierarchical multi-modal BERT: a study on COVID-19 outcome prediction
Khushbu Agarwal, Sutanay Choudhury, Sindhu Tipirneni, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 14
Rapid prediction of in-hospital mortality among adults with COVID-19 disease
Kyoung Min Kim, Daniel S. Evans, Jessica Jacobson, et al.
PLoS ONE (2022) Vol. 17, Iss. 7, pp. e0269813-e0269813
Open Access | Times Cited: 14
Prediction analysis of TBI 24-h survival outcome based on machine learning
Yang Yang, Liulei Zhou, Jinhua Luo, et al.
Heliyon (2024) Vol. 10, Iss. 9, pp. e30198-e30198
Open Access | Times Cited: 2
Machine learning algorithms for predicting COVID-19 mortality in Ethiopia
Melsew Setegn Alie, Yilkal Negesse, Kassa Kindie, et al.
BMC Public Health (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
COVID-19 Mortality Prediction Using Machine Learning-Integrated Random Forest Algorithm under Varying Patient Frailty
Erwin Cornelius, Olcay Akman, Dan Hrozencik
Mathematics (2021) Vol. 9, Iss. 17, pp. 2043-2043
Open Access | Times Cited: 19
The accuracy of artificial intelligence in predicting COVID-19 patient mortality: a systematic review and meta-analysis
Yu Xin, Hongxu Li, Yuxin Zhou, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 7
Interpretable Machine Learning for Inpatient COVID-19 Mortality Risk Assessments: Diabetes Mellitus Exclusive Interplay
Heydar Khadem, Hoda Nemat, Daisy Elliott, et al.
Sensors (2022) Vol. 22, Iss. 22, pp. 8757-8757
Open Access | Times Cited: 11
Machine learning-based mortality prediction models for smoker COVID-19 patients
Ali Sharifi-Kia, Azin Nahvijou, Abbas Sheikhtaheri
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 6
Machine learning algorithms for predicting determinants of COVID-19 mortality in South Africa
Emmanuel Chimbunde, Lovemore N. Sigwadhi, Jacques L. Tamuzi, et al.
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 5
Advantages of Metabolomics-Based Multivariate Machine Learning to Predict Disease Severity: Example of COVID
Maryne Lepoittevin, Quentin Blancart Remaury, Nicolas Lévêque, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 22, pp. 12199-12199
Open Access | Times Cited: 1
Classifying the Mortality of People with Underlying Health Conditions Affected by COVID-19 Using Machine Learning Techniques
Rami Mustafa A. Mohammad, Malak Aljabri, Menna Aboulnour, et al.
Applied Computational Intelligence and Soft Computing (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 8
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