
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:
A machine learning-based model for survival prediction in patients with severe COVID-19 infection
Yan Li, Hai‐Tao Zhang, Jorge Gonçalves, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 410
Yan Li, Hai‐Tao Zhang, Jorge Gonçalves, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 410
Showing 1-25 of 410 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: 2814
Laure Wynants, Ben Van Calster, Gary S. Collins, et al.
BMJ (2020), pp. m1328-m1328
Open Access | Times Cited: 2814
Immunology of COVID-19: Current State of the Science
Nicolas Vabret, Graham J. Britton, Conor Gruber, et al.
Immunity (2020) Vol. 52, Iss. 6, pp. 910-941
Open Access | Times Cited: 1654
Nicolas Vabret, Graham J. Britton, Conor Gruber, et al.
Immunity (2020) Vol. 52, Iss. 6, pp. 910-941
Open Access | Times Cited: 1654
Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks
Ali Narin, Ceren Kaya, Ziynet Pamuk
Pattern Analysis and Applications (2021) Vol. 24, Iss. 3, pp. 1207-1220
Open Access | Times Cited: 1307
Ali Narin, Ceren Kaya, Ziynet Pamuk
Pattern Analysis and Applications (2021) Vol. 24, Iss. 3, pp. 1207-1220
Open Access | Times Cited: 1307
COVID-19 Image Data Collection: Prospective Predictions are the Future
Joseph Cohen, Paul Morrison, Lan Dao, et al.
The Journal of Machine Learning for Biomedical Imaging (2020) Vol. 1, Iss. December 2020, pp. 1-38
Open Access | Times Cited: 822
Joseph Cohen, Paul Morrison, Lan Dao, et al.
The Journal of Machine Learning for Biomedical Imaging (2020) Vol. 1, Iss. December 2020, pp. 1-38
Open Access | Times Cited: 822
Predictors of COVID ‐19 severity: A literature review
Benjamin Gallo Marin, Ghazal Aghagoli, Katya Lavine, et al.
Reviews in Medical Virology (2020) Vol. 31, Iss. 1, pp. 1-10
Open Access | Times Cited: 748
Benjamin Gallo Marin, Ghazal Aghagoli, Katya Lavine, et al.
Reviews in Medical Virology (2020) Vol. 31, Iss. 1, pp. 1-10
Open Access | Times Cited: 748
Artificial intelligence and machine learning to fight COVID-19
Ahmad Alimadadi, Sachin Aryal, Ishan Manandhar, et al.
Physiological Genomics (2020) Vol. 52, Iss. 4, pp. 200-202
Open Access | Times Cited: 604
Ahmad Alimadadi, Sachin Aryal, Ishan Manandhar, et al.
Physiological Genomics (2020) Vol. 52, Iss. 4, pp. 200-202
Open Access | Times Cited: 604
Prognostic factors for severity and mortality in patients infected with COVID-19: A systematic review
Ariel Izcovich, Martín Ragusa, Fernando Tortosa, et al.
PLoS ONE (2020) Vol. 15, Iss. 11, pp. e0241955-e0241955
Open Access | Times Cited: 600
Ariel Izcovich, Martín Ragusa, Fernando Tortosa, et al.
PLoS ONE (2020) Vol. 15, Iss. 11, pp. e0241955-e0241955
Open Access | Times Cited: 600
A Tool for Early Prediction of Severe Coronavirus Disease 2019 (COVID-19): A Multicenter Study Using the Risk Nomogram in Wuhan and Guangdong, China
Jiao Gong, Jingyi Ou, Xueping Qiu, et al.
Clinical Infectious Diseases (2020) Vol. 71, Iss. 15, pp. 833-840
Open Access | Times Cited: 478
Jiao Gong, Jingyi Ou, Xueping Qiu, et al.
Clinical Infectious Diseases (2020) Vol. 71, Iss. 15, pp. 833-840
Open Access | Times Cited: 478
Deep learning based detection and analysis of COVID-19 on chest X-ray images
Rachna Jain, Meenu Gupta, Soham Taneja, et al.
Applied Intelligence (2020) Vol. 51, Iss. 3, pp. 1690-1700
Open Access | Times Cited: 469
Rachna Jain, Meenu Gupta, Soham Taneja, et al.
Applied Intelligence (2020) Vol. 51, Iss. 3, pp. 1690-1700
Open Access | Times Cited: 469
Mapping the landscape of Artificial Intelligence applications against COVID-19
Joseph Aylett-Bullock, Alexandra Sasha Luccioni, Katherine Hoffmann Pham, et al.
Journal of Artificial Intelligence Research (2020) Vol. 69, pp. 807-845
Open Access | Times Cited: 464
Joseph Aylett-Bullock, Alexandra Sasha Luccioni, Katherine Hoffmann Pham, et al.
Journal of Artificial Intelligence Research (2020) Vol. 69, pp. 807-845
Open Access | Times Cited: 464
Epidemiology and clinical features of COVID-19: A review of current literature
Juan A. Siordia
Journal of Clinical Virology (2020) Vol. 127, pp. 104357-104357
Open Access | Times Cited: 450
Juan A. Siordia
Journal of Clinical Virology (2020) Vol. 127, pp. 104357-104357
Open Access | Times Cited: 450
Adoption of Digital Technologies in Health Care During the COVID-19 Pandemic: Systematic Review of Early Scientific Literature
Davide Golinelli, Erik Boetto, Gherardo Carullo, et al.
Journal of Medical Internet Research (2020) Vol. 22, Iss. 11, pp. e22280-e22280
Open Access | Times Cited: 436
Davide Golinelli, Erik Boetto, Gherardo Carullo, et al.
Journal of Medical Internet Research (2020) Vol. 22, Iss. 11, pp. e22280-e22280
Open Access | Times Cited: 436
A review of modern technologies for tackling COVID-19 pandemic
Aishwarya Kumar, Puneet Kumar Gupta, Ankita Srivastava
Diabetes & Metabolic Syndrome Clinical Research & Reviews (2020) Vol. 14, Iss. 4, pp. 569-573
Open Access | Times Cited: 351
Aishwarya Kumar, Puneet Kumar Gupta, Ankita Srivastava
Diabetes & Metabolic Syndrome Clinical Research & Reviews (2020) Vol. 14, Iss. 4, pp. 569-573
Open Access | Times Cited: 351
Artificial intelligence vs COVID-19: limitations, constraints and pitfalls
Wim Naudé
AI & Society (2020) Vol. 35, Iss. 3, pp. 761-765
Open Access | Times Cited: 350
Wim Naudé
AI & Society (2020) Vol. 35, Iss. 3, pp. 761-765
Open Access | Times Cited: 350
Machine learning based approaches for detecting COVID-19 using clinical text data
Akib Mohi Ud Din Khanday, Syed Tanzeel Rabani, Qamar Rayees Khan, et al.
International Journal of Information Technology (2020) Vol. 12, Iss. 3, pp. 731-739
Open Access | Times Cited: 311
Akib Mohi Ud Din Khanday, Syed Tanzeel Rabani, Qamar Rayees Khan, et al.
International Journal of Information Technology (2020) Vol. 12, Iss. 3, pp. 731-739
Open Access | Times Cited: 311
Supervised Machine Learning Models for Prediction of COVID-19 Infection using Epidemiology Dataset
L. J. Muhammad, Ebrahem A. Algehyne, Sani Sharif Usman, et al.
SN Computer Science (2020) Vol. 2, Iss. 1
Open Access | Times Cited: 274
L. J. Muhammad, Ebrahem A. Algehyne, Sani Sharif Usman, et al.
SN Computer Science (2020) Vol. 2, Iss. 1
Open Access | Times Cited: 274
COVID-19 in older people: a rapid clinical review
Fiona E. Lithander, Sandra Neumann, Emma Tenison, et al.
Age and Ageing (2020) Vol. 49, Iss. 4, pp. 501-515
Open Access | Times Cited: 245
Fiona E. Lithander, Sandra Neumann, Emma Tenison, et al.
Age and Ageing (2020) Vol. 49, Iss. 4, pp. 501-515
Open Access | Times Cited: 245
Automatic detection of COVID-19 infection using chest X-ray images through transfer learning
Elene Firmeza Ohata, Gabriel M. Bezerra, João Victor Souza das Chagas, et al.
IEEE/CAA Journal of Automatica Sinica (2020) Vol. 8, Iss. 1, pp. 239-248
Open Access | Times Cited: 243
Elene Firmeza Ohata, Gabriel M. Bezerra, João Victor Souza das Chagas, et al.
IEEE/CAA Journal of Automatica Sinica (2020) Vol. 8, Iss. 1, pp. 239-248
Open Access | Times Cited: 243
COVID-19 Pandemic Prediction for Hungary; A Hybrid Machine Learning Approach
Gergő Pintér, Imre Felde, Amir Mosavi, et al.
Mathematics (2020) Vol. 8, Iss. 6, pp. 890-890
Open Access | Times Cited: 230
Gergő Pintér, Imre Felde, Amir Mosavi, et al.
Mathematics (2020) Vol. 8, Iss. 6, pp. 890-890
Open Access | Times Cited: 230
Predictive Data Mining Models for Novel Coronavirus (COVID-19) Infected Patients’ Recovery
L. J. Muhammad, Md. Milon Islam, Sani Sharif Usman, et al.
SN Computer Science (2020) Vol. 1, Iss. 4
Open Access | Times Cited: 227
L. J. Muhammad, Md. Milon Islam, Sani Sharif Usman, et al.
SN Computer Science (2020) Vol. 1, Iss. 4
Open Access | Times Cited: 227
Predicting mortality risk in patients with COVID-19 using machine learning to help medical decision-making
Mohammad Pourhomayoun, Mahdi Shakibi
Smart Health (2021) Vol. 20, pp. 100178-100178
Open Access | Times Cited: 226
Mohammad Pourhomayoun, Mahdi Shakibi
Smart Health (2021) Vol. 20, pp. 100178-100178
Open Access | Times Cited: 226
Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation
Akhil Vaid, Sulaiman Somani, Adam Russak, et al.
Journal of Medical Internet Research (2020) Vol. 22, Iss. 11, pp. e24018-e24018
Open Access | Times Cited: 208
Akhil Vaid, Sulaiman Somani, Adam Russak, et al.
Journal of Medical Internet Research (2020) Vol. 22, Iss. 11, pp. e24018-e24018
Open Access | Times Cited: 208
IoMT amid COVID-19 pandemic: Application, architecture, technology, and security
Azana Hafizah Mohd Aman, Wan Haslina Hassan, Shilan Sameen, et al.
Journal of Network and Computer Applications (2020) Vol. 174, pp. 102886-102886
Open Access | Times Cited: 204
Azana Hafizah Mohd Aman, Wan Haslina Hassan, Shilan Sameen, et al.
Journal of Network and Computer Applications (2020) Vol. 174, pp. 102886-102886
Open Access | Times Cited: 204
COVID-19 diagnosis prediction in emergency care patients: a machine learning approach
André Filipe de Moraes Batista, João Luiz Miraglia, Thiago Henrique Rizzi Donato, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 197
André Filipe de Moraes Batista, João Luiz Miraglia, Thiago Henrique Rizzi Donato, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 197
Applications of artificial intelligence in battling against covid-19: A literature review
Mohammad-H. Tayarani N.
Chaos Solitons & Fractals (2020) Vol. 142, pp. 110338-110338
Open Access | Times Cited: 194
Mohammad-H. Tayarani N.
Chaos Solitons & Fractals (2020) Vol. 142, pp. 110338-110338
Open Access | Times Cited: 194