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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 the epidemic curve of the coronavirus (SARS-CoV-2) disease (COVID-19) using artificial intelligence: An application on the first and second waves
László Róbert Kolozsvári, Tamás Bérczes, András Hajdú, et al.
Informatics in Medicine Unlocked (2021) Vol. 25, pp. 100691-100691
Open Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Review of Big Data Analytics, Artificial Intelligence and Nature-Inspired Computing Models towards Accurate Detection of COVID-19 Pandemic Cases and Contact Tracing
Israel Edem Agbehadji, Bankole Awuzie, A.B. Ngowi, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 15, pp. 5330-5330
Open Access | Times Cited: 221
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
Role of intelligent computing in COVID-19 prognosis: A state-of-the-art review
H. Swapnarekha, H. S. Behera, Janmenjoy Nayak, et al.
Chaos Solitons & Fractals (2020) Vol. 138, pp. 109947-109947
Open Access | Times Cited: 189
Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review
Carmela Comito, Clara Pizzuti
Artificial Intelligence in Medicine (2022) Vol. 128, pp. 102286-102286
Open Access | Times Cited: 87
A survey on artificial intelligence approaches in supporting frontline workers and decision makers for the COVID-19 pandemic
Jawad Rasheed, Akhtar Jamıl, Alaa Ali Hameed, et al.
Chaos Solitons & Fractals (2020) Vol. 141, pp. 110337-110337
Open Access | Times Cited: 107
How artificial intelligence may help the Covid‐19 pandemic: Pitfalls and lessons for the future
Yashpal Singh Malik, Shubhankar Sircar, Sudipta Bhat, et al.
Reviews in Medical Virology (2020) Vol. 31, Iss. 5, pp. 1-11
Open Access | Times Cited: 94
Machine Learning-Based Research for COVID-19 Detection, Diagnosis, and Prediction: A Survey
Yassine Meraihi, Asma Benmessaoud Gabis, Seyedali Mirjalili, et al.
SN Computer Science (2022) Vol. 3, Iss. 4
Open Access | Times Cited: 50
A predictive analytics model for COVID-19 pandemic using artificial neural networks
Yusuf Kuvvetli, Muhammet Deveci, Turan Paksoy, et al.
Decision Analytics Journal (2021) Vol. 1, pp. 100007-100007
Open Access | Times Cited: 53
Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review
Jelena Musulin, Sandi Baressi Šegota, Daniel Štifanić, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 8, pp. 4287-4287
Open Access | Times Cited: 44
Innovative applications of artificial intelligence in zoonotic disease management
Wenqiang Guo, Chenrui Lv, Meng Guo, et al.
Science in One Health (2023) Vol. 2, pp. 100045-100045
Open Access | Times Cited: 15
Mathematical Assessment of the Role of Human Behavior Changes on SARS-CoV-2 Transmission Dynamics in the United States
Binod Pant, Salman Safdar, Mauricio Santillana, et al.
Bulletin of Mathematical Biology (2024) Vol. 86, Iss. 8
Closed Access | Times Cited: 6
Scalogram based performance comparison of deep learning architectures for dysarthric speech detection
Shaik Mulla Shabber, E.P. Sumesh, V. Ramachandran
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access
Machine Learning for Infectious Disease Risk Prediction: A Survey
Mutong Liu, Yang Liu, Jiming Liu
ACM Computing Surveys (2025)
Open Access
The Experiences of Nurses and Physicians Caring for COVID-19 Patients: Findings from an Exploratory Phenomenological Study in a High Case-Load Country
Moawiah Khatatbeh, Fadwa Alhalaiqa, Aws Khasawneh, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 17, pp. 9002-9002
Open Access | Times Cited: 39
Application of artificial intelligence in COVID-19 medical area: a systematic review
Zhoulin Chang, Zhiqing Zhan, Zifan Zhao, et al.
Journal of Thoracic Disease (2021) Vol. 13, Iss. 12, pp. 7034-7053
Open Access | Times Cited: 38
A Review of the Potential of Artificial Intelligence Approaches to Forecasting COVID-19 Spreading
Mohammad Jamshidi, Sobhan Roshani, Jakub Talla, et al.
AI (2022) Vol. 3, Iss. 2, pp. 493-511
Open Access | Times Cited: 23
Diagnosis of COVID-19 Pneumonia Based on Graph Convolutional Network
Xiaoling Liang, Yuexin Zhang, Jiahong Wang, et al.
Frontiers in Medicine (2021) Vol. 7
Open Access | Times Cited: 30
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
Mathematical assessment of the role of human behavior changes on SARS-CoV-2 transmission dynamics
Binod Pant, Salman Safdar, Mauricio Santillana, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 3
A Deep Learning BiLSTM Encoding-Decoding Model for COVID-19 Pandemic Spread Forecasting
Ahmed I. Shahin, Sultan Almotairi
Fractal and Fractional (2021) Vol. 5, Iss. 4, pp. 175-175
Open Access | Times Cited: 23
The role of machine learning in health policies during the COVID-19 pandemic and in long COVID management
Lindybeth Sarmiento Varón, Jorge González-Puelma, David Medina-Ortiz, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 9
A predictive decision support system for coronavirus disease 2019 response management and medical logistic planning
S. Atek, Filippo Bianchini, Corrado De Vito, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 9
Exploring the synergy of artificial intelligence in microbiology: Advancements, challenges, and future prospects
P Mohseni, Abozar Ghorbani
Deleted Journal (2024) Vol. 1, pp. 100005-100005
Open Access | Times Cited: 2
Beliefs Toward Smoking and COVID-19, and the Pandemic Impact on Smoking Behavior and Quit Intention: Findings from a Community-Based Cross-Sectional Study in Jordan
Ala’a B. Al‐Tammemi, Muna Barakat, Dua’a Al Tamimi, et al.
Tobacco Use Insights (2021) Vol. 14
Open Access | Times Cited: 19
Impact of media trust and personal epidemic experience on epidemic prevention behaviors in the context of COVID-19: A cross-sectional study based on protection motivation theory
Dan Zhang, Fan Su, Xiaoxia Meng, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 7
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