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:
Assessing Public Health and Social Measures Against COVID-19 in Japan From March to June 2021
Katsuma Hayashi, Taishi Kayano, Asami Anzai, et al.
Frontiers in Medicine (2022) Vol. 9
Open Access | Times Cited: 8
Katsuma Hayashi, Taishi Kayano, Asami Anzai, et al.
Frontiers in Medicine (2022) Vol. 9
Open Access | Times Cited: 8
Showing 8 citing articles:
Effectiveness of social distancing measures and lockdowns for reducing transmission of COVID-19 in non-healthcare, community-based settings
Caitriona Murphy, Wey Wen Lim, Cathal Mills, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2023) Vol. 381, Iss. 2257
Open Access | Times Cited: 29
Caitriona Murphy, Wey Wen Lim, Cathal Mills, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2023) Vol. 381, Iss. 2257
Open Access | Times Cited: 29
Evaluating the COVID-19 vaccination program in Japan, 2021 using the counterfactual reproduction number
Taishi Kayano, Yura Ko, Kanako Otani, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 18
Taishi Kayano, Yura Ko, Kanako Otani, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 18
A large-scale machine learning study of sociodemographic factors contributing to COVID-19 severity
Marko Tumbas, Sofija Marković, Igor Salom, et al.
Frontiers in Big Data (2023) Vol. 6
Open Access | Times Cited: 4
Marko Tumbas, Sofija Marković, Igor Salom, et al.
Frontiers in Big Data (2023) Vol. 6
Open Access | Times Cited: 4
Identifying High-Risk Events for COVID-19 Transmission: Estimating the Risk of Clustering Using Nationwide Data
Minami Ueda, Katsuma Hayashi, Hiroshi Nishiura
Viruses (2023) Vol. 15, Iss. 2, pp. 456-456
Open Access | Times Cited: 2
Minami Ueda, Katsuma Hayashi, Hiroshi Nishiura
Viruses (2023) Vol. 15, Iss. 2, pp. 456-456
Open Access | Times Cited: 2
Validity of vaccination information in the COVID-19 surveillance system in Japan: Implications for developing efficient and highly valid data collection systems in future pandemics
Yuki Horie, Chieko Ishiguro, Wataru Mimura, et al.
GHM Open (2024) Vol. 4, Iss. 2, pp. 84-90
Closed Access
Yuki Horie, Chieko Ishiguro, Wataru Mimura, et al.
GHM Open (2024) Vol. 4, Iss. 2, pp. 84-90
Closed Access
Greater impact of COVID‐19 on peer‐supported addiction services than government‐owned services for addiction in Japan: A nationwide 3‐year longitudinal cohort study
Munenori Katayama, Sou Fujishiro, Kanna Sugiura, et al.
Psychiatry and Clinical Neurosciences Reports (2024) Vol. 3, Iss. 4
Open Access
Munenori Katayama, Sou Fujishiro, Kanna Sugiura, et al.
Psychiatry and Clinical Neurosciences Reports (2024) Vol. 3, Iss. 4
Open Access
The Relative Roles of Ambient Temperature and Mobility Patterns in Shaping the Transmission Heterogeneity of SARS-CoV-2 in Japan
Keita Wagatsuma, Iain S. Koolhof, Reiko Saito
Viruses (2022) Vol. 14, Iss. 10, pp. 2232-2232
Open Access | Times Cited: 3
Keita Wagatsuma, Iain S. Koolhof, Reiko Saito
Viruses (2022) Vol. 14, Iss. 10, pp. 2232-2232
Open Access | Times Cited: 3
A large-scale machine learning study of sociodemographic factors contributing to COVID-19 severity
Marko Tumbas, Sofija Marković, Igor Salom, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Marko Tumbas, Sofija Marković, Igor Salom, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
