World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
43
Citations
10645
World Ranking
1666
National Ranking
90

Best Publications

  • Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreak.

    Shi Zhao;Qianying Lin;Jinjun Ran;Salihu Sabiu Musa

  • A conceptual model for the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China with individual reaction and governmental action.

    Qianying Lin;Shi Zhao;Daozhou Gao;Yijun Lou

  • Estimating the unreported number of novel coronavirus (2019-ncov) cases in China in the first half of january 2020: A data-driven modelling analysis of the early outbreak

    Shi Zhao;Salihu Sabiu Musa;Qianying Lin;Jinjun Ran

  • Prevention and Control of Zika as a Mosquito-Borne and Sexually Transmitted Disease: A Mathematical Modeling Analysis.

    Daozhou Gao;Yijun Lou;Daihai He;Travis C. Porco

  • Plug-and-play inference for disease dynamics: measles in large and small populations as a case study.

    Daihai He;Edward L. Ionides;Edward L. Ionides;Aaron A. King;Aaron A. King

  • The relative transmissibility of asymptomatic COVID-19 infections among close contacts.

    Daihai He;Shi Zhao;Qianying Lin;Zian Zhuang

  • Inferring the causes of the three waves of the 1918 influenza pandemic in England and Wales.

    Daihai He;Jonathan Dushoff;Troy Day;Junling Ma

  • Early estimation of the case fatality rate of COVID-19 in mainland China: A data-driven analysis

    Shu Yang;Peihua Cao;Peipei Du;Ziting Wu

  • Decreased Case Fatality Rate of COVID-19 in the Second Wave: A study in 53 countries or regions.

    Guihong Fan;Zhichun Yang;Qianying Lin;Shi Zhao

  • The association between domestic train transportation and novel coronavirus (2019-nCoV) outbreak in China from 2019 to 2020: A data-driven correlational report.

    Shi Zhao;Zian Zhuang;Jinjun Ran;Jiaer Lin

  • Estimating the Serial Interval of the Novel Coronavirus Disease (COVID-19): A Statistical Analysis Using the Public Data in Hong Kong From January 16 to February 15, 2020

    Shi Zhao;Daozhou Gao;Zian Zhuang;Marc K. C. Chong

  • Mathematical modeling of COVID-19 epidemic with effect of awareness programs.

    Salihu Sabiu Musa;Sania Qureshi;Shi Zhao;Abdullahi Yusuf

  • Estimation of exponential growth rate and basic reproduction number of the coronavirus disease 2019 (COVID-19) in Africa.

    Salihu S. Musa;Shi Zhao;Maggie H. Wang;Abdurrazaq G. Habib

  • Preliminary estimation of the novel coronavirus disease (COVID-19) cases in Iran: A modelling analysis based on overseas cases and air travel data.

    Zian Zhuang;Shi Zhao;Qianying Lin;Peihua Cao

  • Modelling the large-scale yellow fever outbreak in Luanda, Angola, and the impact of vaccination

    Shi Zhao;Lewi Stone;Lewi Stone;Daozhou Gao;Daihai He

  • Preliminary estimates of the reproduction number of the coronavirus disease (COVID-19) outbreak in Republic of Korea and Italy by 5 March 2020.

    Zian Zhuang;Shi Zhao;Qianying Lin;Peihua Cao

  • Noise-induced synchronization in realistic models.

    Daihai He;Pengliang Shi;Lewi Stone

  • Quantifying the association between domestic travel and the exportation of novel coronavirus (2019-nCoV) cases from Wuhan, China in 2020: a correlational analysis.

    Shi Zhao;Zian Zhuang;Peihua Cao;Jinjun Ran

  • Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreak

    Shi Zhao;Qianying Lin;Jinjun Ran;Salihu Sabiu Musa

  • Imitation dynamics in the mitigation of the novel coronavirus disease (COVID-19) outbreak in Wuhan, China from 2019 to 2020

    Shi Zhao;Lewi Stone;Lewi Stone;Daozhou Gao;Salihu S. Musa

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For mathematics graduates looking to expand their expertise or pivot into new fields, online degrees offer flexible and affordable options. Many professionals pursue advanced education to enhance their career prospects without sacrificing work commitments. For instance, enrolling in online dba programs allows those interested in data analysis and business leadership to combine mathematical skills with strategic decision-making.

Finance is another popular pathway for math students. Specialized courses sharpen quantitative and analytical abilities, making degrees like the online masters in finance highly valuable. These programs often provide a deep dive into financial modeling, risk assessment, and investment strategies.

For those seeking quick advancement, the shortest online mba programs offer accelerated timelines to managerial roles, blending core business knowledge with mathematical applications.

Lastly, the rise of digital marketing presents exciting opportunities for math majors skilled in data analytics and consumer insights. Pursuing a masters in digital marketing can open doors to careers that leverage both creativity and quantitative analysis.

Recently Published Articles