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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:

COVID-19 forecasting using new viral variants and vaccination effectiveness models
Essam A. Rashed, Sachiko Kodera, Akimasa Hirata
Computers in Biology and Medicine (2022) Vol. 149, pp. 105986-105986
Open Access | Times Cited: 22

Showing 22 citing articles:

AI and data science for smart emergency, crisis and disaster resilience
Longbing Cao
International Journal of Data Science and Analytics (2023) Vol. 15, Iss. 3, pp. 231-246
Open Access | Times Cited: 46
Incorporating variant frequencies data into short-term forecasting for COVID-19 cases and deaths in the USA: a deep learning approach
Hongru Du, Ensheng Dong, Hamada S. Badr, et al.
EBioMedicine (2023) Vol. 89, pp. 104482-104482
Open Access | Times Cited: 22
Estimation of Real-World Vaccination Effectiveness of mRNA COVID-19 Vaccines against Delta and Omicron Variants in Japan
Sachiko Kodera, Essam A. Rashed, Akimasa Hirata
Vaccines (2022) Vol. 10, Iss. 3, pp. 430-430
Open Access | Times Cited: 30
Data-Driven Mathematical Modeling Approaches for COVID-19: a survey
Jacques Demongeot, Pierre Magal
Physics of Life Reviews (2024) Vol. 50, pp. 166-208
Open Access | Times Cited: 5
Can the number of confirmed COVID-19 cases be predicted more accurately by including lifestyle data? An exploratory study for data-driven prediction of COVID-19 cases in metropolitan cities using deep learning models
Sungwook Jung
Digital Health (2025) Vol. 11
Open Access
Spatio-temporal epidemic forecasting using mobility data with LSTM networks and attention mechanism
Shihu Jiao, Yu Wang, Xiucai Ye, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Advancing Real-time Pandemic Forecasting Using Large Language Models: A COVID-19 Case Study
Hao Yang, Hongru Du, Jianan Zhao, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 4
Global analysis and prediction scenario of infectious outbreaks by recurrent dynamic model and machine learning models: A case study on COVID-19
Seyed Ali Rakhshan, Mahdi Soltani Nejad, Marzie Zaj, et al.
Computers in Biology and Medicine (2023) Vol. 158, pp. 106817-106817
Open Access | Times Cited: 10
Forecasting the Endemic/Epidemic Transition in COVID-19 in Some Countries: Influence of the Vaccination
Jules Waku, Kayode Oshinubi, Umar Muhammad Adam, et al.
Diseases (2023) Vol. 11, Iss. 4, pp. 135-135
Open Access | Times Cited: 9
Impact of quarantine on fractional order dynamical model of Covid-19
Ram Singh, Prayag Tiwari, Shahab S. Band, et al.
Computers in Biology and Medicine (2022) Vol. 151, pp. 106266-106266
Open Access | Times Cited: 13
A new RNN based machine learning model to forecast COVID-19 incidence, enhanced by the use of mobility data from the bike-sharing service in Madrid
Mario Muñoz-Organero, Patricia Callejo, Miguel Ángel Hombrados-Herrera
Heliyon (2023) Vol. 9, Iss. 6, pp. e17625-e17625
Open Access | Times Cited: 6
Forecasting the changes between endemic and epidemic phases of a contagious disease, with the example of COVID-19
Jacques Demongeot, Pierre Magal, Kayode Oshinubi
Mathematical Medicine and Biology A Journal of the IMA (2024)
Open Access | Times Cited: 1
Time series forecasting of COVID-19 infections and deaths in Alpha and Delta variants using LSTM networks
Farnaz Sheikhi, Zahra Kowsari
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0282624-e0282624
Open Access | Times Cited: 4
Modeling COVID-19 transmission dynamics incorporating media coverage and vaccination
Xiaojing Wang, Liang Yu, Jiahui Li, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 6, pp. 10392-10403
Open Access | Times Cited: 3
Population-Level Immunity for Transient Suppression of COVID-19 Waves in Japan from April 2021 to September 2022
Sachiko Kodera, Haruto Ueta, Tatsuo Unemi, et al.
Vaccines (2023) Vol. 11, Iss. 9, pp. 1457-1457
Open Access | Times Cited: 3
Projection of COVID-19 Positive Cases Considering Hybrid Immunity: Case Study in Tokyo
Sachiko Kodera, Akito Takada, Essam A. Rashed, et al.
Vaccines (2023) Vol. 11, Iss. 3, pp. 633-633
Open Access | Times Cited: 2
Exploring the potential of learning methods and recurrent dynamic model with vaccination: A comparative case study of COVID-19 in Austria, Brazil, and China
Seyed Ali Rakhshan, Marzie Zaj, F.H. Ghane, et al.
Physical review. E (2024) Vol. 109, Iss. 1
Closed Access
Enhancing COVID-19 Forecasting Precision through the Integration of Compartmental Models, Machine Learning and Variants
Daniele Baccega, Paolo Castagno, Antonio Fernández Anta, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
A novel multivariate time series forecasting dendritic neuron model for COVID-19 pandemic transmission tendency
Cheng Tang, Yuki Todo, Sachiko Kodera, et al.
Neural Networks (2024) Vol. 179, pp. 106527-106527
Open Access
Forecasting of hospitalizations for COVID-19: A hybrid intelligence approach for Disease X research
Mu He, Hongbing Zhu
Technology and Health Care (2024)
Closed Access
Estimation of mRNA COVID-19 Vaccination Effectiveness in Tokyo for Omicron Variants BA.2 and BA.5 -Effect of Social Behavior-
Sachiko Kodera, Yuki Niimi, Essam A. Rashed, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 3
Estimation of mRNA COVID-19 Vaccination Effectiveness in Tokyo for Omicron Variants BA.2 and BA.5: Effect of Social Behavior
Sachiko Kodera, Yuki Niimi, Essam A. Rashed, et al.
Vaccines (2022) Vol. 10, Iss. 11, pp. 1820-1820
Open Access | Times Cited: 3
Detecting the most critical clinical variables of COVID-19 breakthrough infection in vaccinated persons using machine learning
Olawande Daramola, Tatenda Duncan Kavu, Maritha J. Kotze, et al.
Digital Health (2023) Vol. 9
Open Access
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