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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:

Real-time monitoring the transmission potential of COVID-19 in Singapore, March 2020
Amna Tariq, Yiseul Lee, Kimberlyn Roosa, et al.
BMC Medicine (2020) Vol. 18, Iss. 1
Open Access | Times Cited: 106

Showing 1-25 of 106 citing articles:

Transmission potential and severity of COVID-19 in South Korea
Eunha Shim, Amna Tariq, Wongyeong Choi, et al.
International Journal of Infectious Diseases (2020) Vol. 93, pp. 339-344
Open Access | Times Cited: 741
Clustering and superspreading potential of SARS-CoV-2 infections in Hong Kong
Dillon C. Adam, Peng Wu, Jessica Y. Wong, et al.
Nature Medicine (2020) Vol. 26, Iss. 11, pp. 1714-1719
Open Access | Times Cited: 623
The temporal association of introducing and lifting non-pharmaceutical interventions with the time-varying reproduction number (R) of SARS-CoV-2: a modelling study across 131 countries
You Li, Harry Campbell, Durga Kulkarni, et al.
The Lancet Infectious Diseases (2020) Vol. 21, Iss. 2, pp. 193-202
Open Access | Times Cited: 465
Transmission potential of the novel coronavirus (COVID-19) onboard the diamond Princess Cruises Ship, 2020
Kenji Mizumoto, Gerardo Chowell
Infectious Disease Modelling (2020) Vol. 5, pp. 264-270
Open Access | Times Cited: 310
A primer on using mathematics to understand COVID-19 dynamics: Modeling, analysis and simulations
Abba B. Gumel, Enahoro Iboi, Calistus N. Ngonghala, et al.
Infectious Disease Modelling (2020) Vol. 6, pp. 148-168
Open Access | Times Cited: 158
Heterogeneity in transmissibility and shedding SARS-CoV-2 via droplets and aerosols
Paul Chen, Niklas Bobrovitz, Zahra Premji, et al.
eLife (2021) Vol. 10
Open Access | Times Cited: 147
Evaluating Transmission Heterogeneity and Super-Spreading Event of COVID-19 in a Metropolis of China
Yunjun Zhang, Yuying Li, Lu Wang, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 10, pp. 3705-3705
Open Access | Times Cited: 119
Spatial-temporal potential exposure risk analytics and urban sustainability impacts related to COVID-19 mitigation: A perspective from car mobility behaviour
Peng Jiang, Xiuju Fu, Yee Van Fan, et al.
Journal of Cleaner Production (2020) Vol. 279, pp. 123673-123673
Open Access | Times Cited: 105
Early epidemiological assessment of the transmission potential and virulence of coronavirus disease 2019 (COVID-19) in Wuhan City, China, January–February, 2020
Kenji Mizumoto, Katsushi Kagaya, Gerardo Chowell
BMC Medicine (2020) Vol. 18, Iss. 1
Open Access | Times Cited: 80
Health equity considerations in COVID-19: geospatial network analysis of the COVID-19 outbreak in the migrant population in Singapore
Huso Yi, Shu Tian Ng, Aysha Farwin, et al.
Journal of Travel Medicine (2020) Vol. 28, Iss. 2
Open Access | Times Cited: 78
Early transmission dynamics of COVID-19 in a southern hemisphere setting: Lima-Peru: February 29th–March 30th, 2020
César V. Munayco, Amna Tariq, Richard Rothenberg, et al.
Infectious Disease Modelling (2020) Vol. 5, pp. 338-345
Open Access | Times Cited: 77
Effective control of SARS-CoV-2 transmission in Wanzhou, China
Qiuling Shi, Yaoyue Hu, Bin Peng, et al.
Nature Medicine (2020) Vol. 27, Iss. 1, pp. 86-93
Open Access | Times Cited: 73
Estimating the generation interval and inferring the latent period of COVID-19 from the contact tracing data
Shi Zhao, Biao Tang, Salihu S. Musa, et al.
Epidemics (2021) Vol. 36, pp. 100482-100482
Open Access | Times Cited: 67
Superspreading, overdispersion and their implications in the SARS-CoV-2 (COVID-19) pandemic: a systematic review and meta-analysis of the literature
Oliver Wegehaupt, Akira Endo, Anna Vassall
BMC Public Health (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 25
Contagion dynamics on higher-order networks
Guilherme Ferraz de Arruda, Alberto Aleta, Yamir Moreno
Nature Reviews Physics (2024) Vol. 6, Iss. 8, pp. 468-482
Closed Access | Times Cited: 13
Transmission dynamics and control of COVID-19 in Chile, March-October, 2020
Amna Tariq, Eduardo A. Undurraga, Carla Castillo-Laborde, et al.
PLoS neglected tropical diseases (2021) Vol. 15, Iss. 1, pp. e0009070-e0009070
Open Access | Times Cited: 49
Modelling Singapore COVID-19 pandemic with a SEIR multiplex network model
Ning Ning Chung, Lock Yue Chew
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 48
COVID-19 Patient Count Prediction Using LSTM
Muhammad Iqbal, Feras Al‐Obeidat, Fahad Maqbool, et al.
IEEE Transactions on Computational Social Systems (2021) Vol. 8, Iss. 4, pp. 974-981
Open Access | Times Cited: 40
Will vaccine-derived protective immunity curtail COVID-19 variants in the US?
Marina Mancuso, Steffen E. Eikenberry, Abba B. Gumel
Infectious Disease Modelling (2021) Vol. 6, pp. 1110-1134
Open Access | Times Cited: 40
Real Time Mapping Of Epidemic Spread
B R Yogeetha
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2025) Vol. 09, Iss. 01, pp. 1-9
Closed Access
modelSSE: An R Package for Characterizing Infectious Disease Superspreading from Contact Tracing Data
Shi Zhao, Zihao Guo, Kai Wang, et al.
Bulletin of Mathematical Biology (2025) Vol. 87, Iss. 4
Closed Access
Demographic shift in COVID-19 patients in Singapore from an aged, at-risk population to young migrant workers with reduced risk of severe disease
Jinghao Nicholas Ngiam, Nicholas Chew, Sai Meng Tham, et al.
International Journal of Infectious Diseases (2020) Vol. 103, pp. 329-335
Open Access | Times Cited: 45
Superspreading and heterogeneity in transmission of SARS, MERS, and COVID-19: A systematic review
Jingxuan Wang, Xiao Chen, Zihao Guo, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 5039-5046
Open Access | Times Cited: 37
Heterogeneity matters: Contact structure and individual variation shape epidemic dynamics
Gerrit Großmann, Michael Backenköhler, Verena Wolf
PLoS ONE (2021) Vol. 16, Iss. 7, pp. e0250050-e0250050
Open Access | Times Cited: 36
Bayesian back-calculation and nowcasting for line list data during the COVID-19 pandemic
Tenglong Li, Laura F. White
PLoS Computational Biology (2021) Vol. 17, Iss. 7, pp. e1009210-e1009210
Open Access | Times Cited: 33
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