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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:

A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan
Sercan Ö. Arık, Joel Shor, Rajarishi Sinha, et al.
npj Digital Medicine (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges
Yang Ye, Abhishek Pandey, Carolyn E. Bawden, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Artificial intelligence based systems for combating communicable diseases
Saurav, Tejinder Kumar
International Journal of Systems Assurance Engineering and Management (2025)
Closed Access
Analyzing Patient Trajectories With Artificial Intelligence
Ahmed Allam, Stefan Feuerriegel, Michael Rebhan, et al.
Journal of Medical Internet Research (2021) Vol. 23, Iss. 12, pp. e29812-e29812
Open Access | Times Cited: 34
The projections of global and regional rheumatic heart disease burden from 2020 to 2030
Yingying Hu, Zijia Tong, Xuewei Huang, et al.
Frontiers in Cardiovascular Medicine (2022) Vol. 9
Open Access | Times Cited: 24
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
National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021
Johannes Bracher, Daniel Wolffram, Jannik Deuschel, et al.
Communications Medicine (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 20
Machine learning for data-centric epidemic forecasting
Alexander Rodríguez, Harshavardhan Kamarthi, Pulak Agarwal, et al.
Nature Machine Intelligence (2024)
Closed Access | Times Cited: 3
Forecasting COVID-19 spreading through an ensemble of classical and machine learning models: Spain’s case study
Ignacio Heredia, Judith Sáinz-Pardo Díaz, María Castrillo, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8
Mobility Patterns in Different Age Groups in Japan during the COVID-19 Pandemic: a Small Area Time Series Analysis through March 2021
Shuhei Nomura, Yuta Tanoue, Daisuke Yoneoka, et al.
Journal of Urban Health (2021) Vol. 98, Iss. 5, pp. 635-641
Open Access | Times Cited: 19
Explanation of hand, foot, and mouth disease cases in Japan using Google Trends before and during the COVID-19: infodemiology study
Qian Niu, Junyu Liu, Zixi Zhao, et al.
BMC Infectious Diseases (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 8
Network Biology and Medicine to Rescue: Applications for Retinal Disease Mechanisms and Therapy
Anupam K. Mondal, Anand Swaroop
Advances in experimental medicine and biology (2023), pp. 165-171
Closed Access | Times Cited: 4
Towards Improved XAI-Based Epidemiological Research into the Next Potential Pandemic
Hamed Khalili, Maria A. Wimmer
Life (2024) Vol. 14, Iss. 7, pp. 783-783
Open Access | Times Cited: 1
Algorithmic fairness in pandemic forecasting: lessons from COVID-19
Thomas C. Tsai, Sercan Ö. Arık, Benjamin H. Jacobson, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 6
A fairness assessment of mobility-based COVID-19 case prediction models
Abdolmajid Erfani, Vanessa Frías-Martínez
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0292090-e0292090
Open Access | Times Cited: 2
National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021
Johannes Bracher, Daniel Wolffram, Jannik Deuschel, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 6
A Comprehensive Overview of Artificial Intelligence in Healthcare
Farhan Sabir Ujager, Souheyr Rim Hamacha, Binish Benjamin
Advances in computer and electrical engineering book series (2023), pp. 339-362
Closed Access | Times Cited: 2
A Novel Framework for Joint Learning of City Region Partition and Representation
Mingyu Deng, Wanyi Zhang, Jie Zhao, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2024) Vol. 20, Iss. 7, pp. 1-23
Closed Access
Smart Environmental Monitoring and COVID-19
Hassan Hazimze, Salma Gaou, Khalid Akhlil
Advances in environmental engineering and green technologies book series (2024), pp. 190-212
Closed Access
Predicting Generalization of AI Colonoscopy Models to Unseen Data
Joel Shor, Carson McNeil, Yotam Intrator, et al.
Research Square (Research Square) (2024)
Open Access
Predicting the generalization of computer aided detection (CADe) models for colonoscopy
Joel Shor, Carson McNeil, Yotam Intrator, et al.
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Open Access
Seasonal Variation Analysis for Weekly Cases, Deaths, and Hospitalizations of COVID-19 in the United States
Tianze Xu, Yingying Cui
Advances in experimental medicine and biology (2022), pp. 103-111
Closed Access | Times Cited: 1
On the accuracy of Covid-19 forecasting methods in Russia for two years
Ivan Moloshnikov, Alexander Sboev, Alexander Naumov, et al.
Procedia Computer Science (2022) Vol. 213, pp. 428-434
Open Access | Times Cited: 1
Capítulo 2: Evaluación comparativa de la capacidad resolutiva y la producción de servicios en atención primaria durante la COVID-19
Miryam Griselda Lora Loza, Yosmili Viera López, Tomas Rodríguez Beas, et al.
(2023), pp. 39-67
Closed Access
Application of Mathematical Models of the Dynamics of the Epidemic Acute Respiratory Viral Infections to Increase the Efficiency of Epidemiological Surveillance
Vasiliy N. Leonenko, A.I. Korzin, Daria Danilenko
Mathematical Biology and Bioinformatics (2023) Vol. 18, Iss. 2, pp. 517-542
Open Access
Explanation of Hand, Foot, and Mouth Disease Cases in Japan Using Google Trends Before and During the COVID-19: Infodemiology Study
Qian Niu, Junyu Liu, Zixi Zhao, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
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