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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:

Predicting COVID-19 disease progression and patient outcomes based on temporal deep learning
Chenxi Sun, Shenda Hong, Moxian Song, et al.
BMC Medical Informatics and Decision Making (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
Laure Wynants, Ben Van Calster, Gary S. Collins, et al.
BMJ (2020), pp. m1328-m1328
Open Access | Times Cited: 2836
A clinical case definition of post-COVID-19 condition by a Delphi consensus
Joan B. Soriano, Srinivas Murthy, John C. Marshall, et al.
The Lancet Infectious Diseases (2021) Vol. 22, Iss. 4, pp. e102-e107
Open Access | Times Cited: 1335
Optimization and fine-tuning of DenseNet model for classification of COVID-19 cases in medical imaging
Tavishee Chauhan, Hemant Palivela, Sarveshmani Tiwari
International Journal of Information Management Data Insights (2021) Vol. 1, Iss. 2, pp. 100020-100020
Open Access | Times Cited: 72
Estimate the incubation period of coronavirus 2019 (COVID-19)
Ke Men, Yihao Li, Xia Wang, et al.
Computers in Biology and Medicine (2023) Vol. 158, pp. 106794-106794
Open Access | Times Cited: 30
A Systematic Review of Echo State Networks From Design to Application
Chenxi Sun, Moxian Song, Derun Cai, et al.
IEEE Transactions on Artificial Intelligence (2022) Vol. 5, Iss. 1, pp. 23-37
Closed Access | Times Cited: 36
Machine Learning Approaches to Identify Patient Comorbidities and Symptoms That Increased Risk of Mortality in COVID-19
Sakifa Aktar, Ashis Talukder, Md. Martuza Ahamad, et al.
Diagnostics (2021) Vol. 11, Iss. 8, pp. 1383-1383
Open Access | Times Cited: 30
Process Improvement Approaches for Increasing the Response of Emergency Departments against the COVID-19 Pandemic: A Systematic Review
Miguel Ortíz‐Barrios, Dayana Milena Coba-Blanco, Juan-José Alfaro-Saíz, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 16, pp. 8814-8814
Open Access | Times Cited: 29
Machine learning models for predicting severe COVID-19 outcomes in hospitals
Philipp Wendland, Vanessa Schmitt, Jörg Zimmermann, et al.
Informatics in Medicine Unlocked (2023) Vol. 37, pp. 101188-101188
Open Access | Times Cited: 12
A Ranking-Based Cross-Entropy Loss for Early Classification of Time Series
Chenxi Sun, Hongyan Li, Moxian Song, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 8, pp. 11194-11203
Closed Access | Times Cited: 11
Predictive modelling and identification of critical variables of mortality risk in COVID-19 patients
Olawande Daramola, Tatenda Duncan Kavu, Maritha J. Kotze, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Deep Learning in COVID-19 Diagnosis, Prognosis and Treatment Selection
Suya Jin, Guiyan Liu, Qifeng Bai
Mathematics (2023) Vol. 11, Iss. 6, pp. 1279-1279
Open Access | Times Cited: 9
Time pattern reconstruction for classification of irregularly sampled time series
Chenxi Sun, Hongyan Li, Moxian Song, et al.
Pattern Recognition (2023) Vol. 147, pp. 110075-110075
Closed Access | Times Cited: 9
Myopia prediction for children and adolescents via time-aware deep learning
Junjia Huang, W. F. Mader, Rong Li, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8
[Retracted] A Novel Smart City‐Based Framework on Perspectives for Application of Machine Learning in Combating COVID‐19
Absalom E. Ezugwu, Mohamed Hashem, Olaide N. Oyelade, et al.
BioMed Research International (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 20
Application of a Decision Tree Model to Predict the Outcome of Non-Intensive Inpatients Hospitalized for COVID-19
Massimo Giotta, Paolo Trerotoli, Vincenzo Ostilio Palmieri, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 20, pp. 13016-13016
Open Access | Times Cited: 13
Machine learning-based derivation and external validation of a tool to predict death and development of organ failure in hospitalized patients with COVID-19
Yixi Xu, Anusua Trivedi, Nicholas Becker, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 11
TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data
Chenxi Sun, Shenda Hong, Moxian Song, et al.
(2021), pp. 3010-3016
Open Access | Times Cited: 15
Leveraging artificial intelligence and data science techniques in harmonizing, sharing, accessing and analyzing SARS-COV-2/COVID-19 data in Rwanda (LAISDAR Project): study design and rationale
Aurore Nishimwe, Charles Ruranga, Clarisse Musanabaganwa, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 11
Continuous diagnosis and prognosis by controlling the update process of deep neural networks
Chenxi Sun, Hongyan Li, Moxian Song, et al.
Patterns (2023) Vol. 4, Iss. 2, pp. 100687-100687
Open Access | Times Cited: 6
A Novel Smart City Based Framework on Perspectives for application of Machine Learning in combatting COVID-19
Absalom E. Ezugwu, Mohamed Hashem, Olaide N. Oyelade, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 16
Disease Progression Detection via Deep Sequence Learning of Successive Radiographic Scans
Jamil Ahmad, Abdul Khader Jilani Saudagar, Khalid Mahmood Malik, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 1, pp. 480-480
Open Access | Times Cited: 9
Predicting the outcome for COVID-19 patients by applying time series classification to electronic health records
Davi Silva Rodrigues, Ana Catharina de Seixas Santos Nastri, Marcello Mihailenko Chaves Magri, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 9
Representation of time-varying and time-invariant EMR data and its application in modeling outcome prediction for heart failure patients
Yanqun Huang, Muyu Wang, Zhimin Zheng, et al.
Journal of Biomedical Informatics (2023) Vol. 143, pp. 104427-104427
Open Access | Times Cited: 5
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: 12
Personalized vital signs control based on continuous action-space reinforcement learning with supervised experience
Chenxi Sun, Shenda Hong, Moxian Song, et al.
Biomedical Signal Processing and Control (2021) Vol. 69, pp. 102847-102847
Closed Access | Times Cited: 11
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