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:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Artificial Intelligence Against Covid-19: An Early Review
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

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

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