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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:

Machine Learning Based Clinical Decision Support System for Early COVID-19 Mortality Prediction
A. Karthikeyan, Akshit Garg, P. K. Vinod, et al.
Frontiers in Public Health (2021) Vol. 9
Open Access | Times Cited: 96

Showing 1-25 of 96 citing articles:

Latent Class Analysis Reveals COVID-19–related Acute Respiratory Distress Syndrome Subgroups with Differential Responses to Corticosteroids
Pratik Sinha, David Furfaro, Matthew J. Cummings, et al.
American Journal of Respiratory and Critical Care Medicine (2021) Vol. 204, Iss. 11, pp. 1274-1285
Open Access | Times Cited: 197
Comparing machine learning algorithms for predicting COVID-19 mortality
Khadijeh Moulaei, Mostafa Shanbehzadeh, Zahra Mohammadi-Taghiabad, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 121
Review on the Evaluation and Development of Artificial Intelligence for COVID-19 Containment
Md. Mahadi Hasan, Muhammad Usama Islam, Muhammad Jafar Sadeq, et al.
Sensors (2023) Vol. 23, Iss. 1, pp. 527-527
Open Access | Times Cited: 47
Application of a data-driven XGBoost model for the prediction of COVID-19 in the USA: a time-series study
Zheng-gang Fang, Shuqin Yang, Cai-Xia Lv, et al.
BMJ Open (2022) Vol. 12, Iss. 7, pp. e056685-e056685
Open Access | Times Cited: 69
Artificial intelligence: machine learning for chemical sciences
A. Karthikeyan, U. Deva Priyakumar
Journal of Chemical Sciences (2021) Vol. 134, Iss. 1
Open Access | Times Cited: 66
Machine learning decision tree algorithm role for predicting mortality in critically ill adult COVID-19 patients admitted to the ICU
Alyaa Elhazmi, Awad Al‐Omari, Hend Sallam, et al.
Journal of Infection and Public Health (2022) Vol. 15, Iss. 7, pp. 826-834
Open Access | Times Cited: 60
Prediction of diagnosis and prognosis of COVID-19 disease by blood gas parameters using decision trees machine learning model
Mehmet Tahir Huyut, Hilal Üstündağ
Medical Gas Research (2022) Vol. 12, Iss. 2, pp. 60-66
Open Access | Times Cited: 49
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
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
Artificial intelligence-driven prediction of COVID-19-related hospitalization and death: a systematic review
Saeed Shakibfar, Fredrik Nyberg, Huiqi Li, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 16
Artificial intelligence in routine blood tests
Miguel A. Santos-Silva, Nuno Sousa, João Carlos Sousa
Frontiers in Medical Engineering (2024) Vol. 2
Open Access | Times Cited: 5
A new COVID-19 intubation prediction strategy using an intelligent feature selection and K-NN method
Zahra Asghari Varzaneh, Azam Orooji, Leila Erfannia, et al.
Informatics in Medicine Unlocked (2021) Vol. 28, pp. 100825-100825
Open Access | Times Cited: 31
Early Prediction of COVID-19 Ventilation Requirement and Mortality from Routinely Collected Baseline Chest Radiographs, Laboratory, and Clinical Data with Machine Learning
Abdulrhman Aljouie, Ahmed Almazroa, Yahya Bokhari, et al.
Journal of Multidisciplinary Healthcare (2021) Vol. Volume 14, pp. 2017-2033
Open Access | Times Cited: 29
Advanced Multi-Mutation With Intervention Policies Pandemic Model
Teddy Lazebnik, Gaddi Blumrosen
IEEE Access (2022) Vol. 10, pp. 22769-22781
Open Access | Times Cited: 20
Artificial Intelligence in COVID-19 Management: A Systematic Review
Samaneh Mohammadi, Samaneh Mohammadi, SeyedAhmad SeyedAlinaghi, et al.
Journal of Computer Science (2023) Vol. 19, Iss. 5, pp. 554-568
Open Access | Times Cited: 13
Febrile disease modeling and diagnosis system for optimizing medical decisions in resource-scarce settings
Daniel Asuquo, Kingsley Attai, Okure Obot, et al.
Clinical eHealth (2024) Vol. 7, pp. 52-76
Open Access | Times Cited: 4
Design of an artificial neural network to predict mortality among COVID-19 patients
Mostafa Shanbehzadeh, Raoof Nopour, Hadi Kazemi-Arpanahi
Informatics in Medicine Unlocked (2022) Vol. 31, pp. 100983-100983
Open Access | Times Cited: 19
Mortality prediction of COVID-19 patients using soft voting classifier
Nishant Rai, Naman Kaushik, Deepika Kumar, et al.
International Journal of Cognitive Computing in Engineering (2022) Vol. 3, pp. 172-179
Open Access | Times Cited: 18
Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques
Miren Hayet-Otero, Fernando García-García, Dae‐Jin Lee, et al.
PLoS ONE (2023) Vol. 18, Iss. 4, pp. e0284150-e0284150
Open Access | Times Cited: 10
Data Mining of Infertility and Factors Influencing Its Development: A Finding From a Prospective Cohort Study of RaNCD in Iran
Hosna Heydarian, Masoumeh Abbasi, Farid Najafi, et al.
Health Science Reports (2025) Vol. 8, Iss. 1
Open Access
Identification of relevant features using SEQENS to improve supervised machine learning models predicting AML treatment outcome
Pedro Fandos Pons, François Signol, Noemí Álvarez, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access
Multiple Diseases Forecast Through AI and IoMT Techniques: Systematic Literature Review
Asma Merabet, Asma Saighi, Rahimah Zakaria, et al.
Communications in computer and information science (2023), pp. 189-206
Closed Access | Times Cited: 9
StackGridCov: a robust stacking ensemble learning-based model integrated with GridSearchCV hyperparameter tuning technique for mutation prediction of COVID-19 virus
Mehmet Burukanlı, Nejat Yumuşak
Neural Computing and Applications (2024) Vol. 36, Iss. 35, pp. 22379-22401
Closed Access | Times Cited: 3
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
A Hybrid Data-Driven-Agent-Based Modelling Framework for Water Distribution Systems Contamination Response during COVID-19
Leonid Kadinski, Camilo Salcedo, Dominic L. Boccelli, et al.
Water (2022) Vol. 14, Iss. 7, pp. 1088-1088
Open Access | Times Cited: 14
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