
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:
Towards an Artificial Intelligence Framework for Data-Driven Prediction of Coronavirus Clinical Severity
Xiangao Jiang, Megan Coffee, Anasse Bari, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2020) Vol. 62, Iss. 3, pp. 537-551
Open Access | Times Cited: 434
Xiangao Jiang, Megan Coffee, Anasse Bari, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2020) Vol. 62, Iss. 3, pp. 537-551
Open Access | Times Cited: 434
Showing 1-25 of 434 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
Laure Wynants, Ben Van Calster, Gary S. Collins, et al.
BMJ (2020), pp. m1328-m1328
Open Access | Times Cited: 2836
A Comprehensive Review of the COVID-19 Pandemic and the Role of IoT, Drones, AI, Blockchain, and 5G in Managing its Impact
Vinay Chamola, Vikas Hassija, Vatsal Gupta, et al.
IEEE Access (2020) Vol. 8, pp. 90225-90265
Open Access | Times Cited: 1048
Vinay Chamola, Vikas Hassija, Vatsal Gupta, et al.
IEEE Access (2020) Vol. 8, pp. 90225-90265
Open Access | Times Cited: 1048
Pulmonary Arterial Thrombosis in COVID-19 With Fatal Outcome
Sigurd Lax, Kristijan Skok, Peter Zechner, et al.
Annals of Internal Medicine (2020) Vol. 173, Iss. 5, pp. 350-361
Open Access | Times Cited: 711
Sigurd Lax, Kristijan Skok, Peter Zechner, et al.
Annals of Internal Medicine (2020) Vol. 173, Iss. 5, pp. 350-361
Open Access | Times Cited: 711
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: 469
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: 469
The 2019–2020 novel coronavirus (severe acute respiratory syndrome coronavirus 2) pandemic: A joint american college of academic international medicine-world academic council of emergency medicine multidisciplinary COVID-19 working group consensus paper
Stanislaw P. Stawicki, Rebecca Jeanmonod, AndrewC Miller, et al.
Journal of Global Infectious Diseases (2020) Vol. 12, Iss. 2, pp. 47-47
Open Access | Times Cited: 360
Stanislaw P. Stawicki, Rebecca Jeanmonod, AndrewC Miller, et al.
Journal of Global Infectious Diseases (2020) Vol. 12, Iss. 2, pp. 47-47
Open Access | Times Cited: 360
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: 356
Wim Naudé
AI & Society (2020) Vol. 35, Iss. 3, pp. 761-765
Open Access | Times Cited: 356
Neurological symptoms, manifestations, and complications associated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease 19 (COVID-19)
Biyan Nathanael Harapan, Keun-Young Yoo
Journal of Neurology (2021)
Open Access | Times Cited: 319
Biyan Nathanael Harapan, Keun-Young Yoo
Journal of Neurology (2021)
Open Access | Times Cited: 319
Comparison of deep learning approaches to predict COVID-19 infection
Talha Burak Alakuş, İbrahim Türkoğlu
Chaos Solitons & Fractals (2020) Vol. 140, pp. 110120-110120
Open Access | Times Cited: 318
Talha Burak Alakuş, İbrahim Türkoğlu
Chaos Solitons & Fractals (2020) Vol. 140, pp. 110120-110120
Open Access | Times Cited: 318
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
Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks
Suat Toraman, Talha Burak Alakuş, İbrahim Türkoğlu
Chaos Solitons & Fractals (2020) Vol. 140, pp. 110122-110122
Open Access | Times Cited: 309
Suat Toraman, Talha Burak Alakuş, İbrahim Türkoğlu
Chaos Solitons & Fractals (2020) Vol. 140, pp. 110122-110122
Open Access | Times Cited: 309
Restructured society and environment: A review on potential technological strategies to control the COVID-19 pandemic
Rajvikram Madurai Elavarasan, Rishi Pugazhendhi
The Science of The Total Environment (2020) Vol. 725, pp. 138858-138858
Open Access | Times Cited: 308
Rajvikram Madurai Elavarasan, Rishi Pugazhendhi
The Science of The Total Environment (2020) Vol. 725, pp. 138858-138858
Open Access | Times Cited: 308
The ensemble deep learning model for novel COVID-19 on CT images
Tao Zhou, Huiling Lu, Zaoli Yang, et al.
Applied Soft Computing (2020) Vol. 98, pp. 106885-106885
Open Access | Times Cited: 242
Tao Zhou, Huiling Lu, Zaoli Yang, et al.
Applied Soft Computing (2020) Vol. 98, pp. 106885-106885
Open Access | Times Cited: 242
Initial whole-genome sequencing and analysis of the host genetic contribution to COVID-19 severity and susceptibility
Fang Wang, Shujia Huang, Rongsui Gao, et al.
Cell Discovery (2020) Vol. 6, Iss. 1
Open Access | Times Cited: 210
Fang Wang, Shujia Huang, Rongsui Gao, et al.
Cell Discovery (2020) Vol. 6, Iss. 1
Open Access | Times Cited: 210
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: 196
Mohammad-H. Tayarani N.
Chaos Solitons & Fractals (2020) Vol. 142, pp. 110338-110338
Open Access | Times Cited: 196
Machine learning approaches in COVID-19 diagnosis, mortality, and severity risk prediction: A review
Norah Alballa, Isra Al-Turaiki
Informatics in Medicine Unlocked (2021) Vol. 24, pp. 100564-100564
Open Access | Times Cited: 195
Norah Alballa, Isra Al-Turaiki
Informatics in Medicine Unlocked (2021) Vol. 24, pp. 100564-100564
Open Access | Times Cited: 195
Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions
Thanh Thi Nguyen
(2020)
Open Access | Times Cited: 162
Thanh Thi Nguyen
(2020)
Open Access | Times Cited: 162
Forecasting of COVID-19 cases using deep learning models: Is it reliable and practically significant?
Jayanthi Devaraj, Rajvikram Madurai Elavarasan, Rishi Pugazhendhi, et al.
Results in Physics (2021) Vol. 21, pp. 103817-103817
Open Access | Times Cited: 154
Jayanthi Devaraj, Rajvikram Madurai Elavarasan, Rishi Pugazhendhi, et al.
Results in Physics (2021) Vol. 21, pp. 103817-103817
Open Access | Times Cited: 154
The Rise of Wearable Devices during the COVID-19 Pandemic: A Systematic Review
Asma Channa, Nirvana Popescu, Justyna Skibińska, et al.
Sensors (2021) Vol. 21, Iss. 17, pp. 5787-5787
Open Access | Times Cited: 153
Asma Channa, Nirvana Popescu, Justyna Skibińska, et al.
Sensors (2021) Vol. 21, Iss. 17, pp. 5787-5787
Open Access | Times Cited: 153
Emerging Technologies for Use in the Study, Diagnosis, and Treatment of Patients with COVID-19
Maria Tsikala Vafea, Eleftheria Atalla, Joanna Georgakas, et al.
Cellular and Molecular Bioengineering (2020) Vol. 13, Iss. 4, pp. 249-257
Open Access | Times Cited: 152
Maria Tsikala Vafea, Eleftheria Atalla, Joanna Georgakas, et al.
Cellular and Molecular Bioengineering (2020) Vol. 13, Iss. 4, pp. 249-257
Open Access | Times Cited: 152
Robotics and artificial intelligence in healthcare during COVID-19 pandemic: A systematic review
Sujan Sarker, Lafifa Jamal, Syeda Faiza Ahmed, et al.
Robotics and Autonomous Systems (2021) Vol. 146, pp. 103902-103902
Open Access | Times Cited: 152
Sujan Sarker, Lafifa Jamal, Syeda Faiza Ahmed, et al.
Robotics and Autonomous Systems (2021) Vol. 146, pp. 103902-103902
Open Access | Times Cited: 152
Artificial Intelligence Against Covid-19: An Early Review
Wim Naudé
SSRN Electronic Journal (2020)
Open Access | Times Cited: 147
Wim Naudé
SSRN Electronic Journal (2020)
Open Access | Times Cited: 147
Artificial Intelligence in Biological Sciences
Abhaya Bhardwaj, Shristi Kishore, Dhananjay K. Pandey
Life (2022) Vol. 12, Iss. 9, pp. 1430-1430
Open Access | Times Cited: 79
Abhaya Bhardwaj, Shristi Kishore, Dhananjay K. Pandey
Life (2022) Vol. 12, Iss. 9, pp. 1430-1430
Open Access | Times Cited: 79
Race to environmental sustainability: Can structural change, economic expansion and natural resource consumption effect environmental sustainability? A novel dynamic ARDL simulations approach
Xuetao Li, Feilan Wang, Muna Al‐Razgan, et al.
Resources Policy (2023) Vol. 86, pp. 104044-104044
Closed Access | Times Cited: 78
Xuetao Li, Feilan Wang, Muna Al‐Razgan, et al.
Resources Policy (2023) Vol. 86, pp. 104044-104044
Closed Access | Times Cited: 78
Data‐driven decision‐making model based on artificial intelligence in higher education system of colleges and universities
Yusi Teng, Jie Zhang, Ting Sun
Expert Systems (2022) Vol. 40, Iss. 4
Closed Access | Times Cited: 70
Yusi Teng, Jie Zhang, Ting Sun
Expert Systems (2022) Vol. 40, Iss. 4
Closed Access | Times Cited: 70