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Total citations in Google Schoolar: 4349 Times, h-index: 25; i10-index: 34. https://scholar.google.com/citations?hl=en&user=ifeXMDkAAAAJ 

Cited by the publications in Nature, PNAS, Lancet PH, Lancet ID, Lancet GH, Nature Microbiology, Ann Intern Med, NC, etc.

ResearchGate: https://www.researchgate.net/profile/Biao-Tang

 

First/Corresponding Author 

30. Qian Li, Biao Tang*, Yanni Xiao, Multiple epidemic waves in a switching system with multi-thresholds triggered alternate control, Nonlinear Dynamics, 112 (10), 8721-8738 (2024).

29. Wuqiong Zhao, Xia Wang, Biao Tang*, The impacts of spatial–temporal heterogeneity of human-to-human contacts on the extinction probability of infectious disease from branching process model. Journal of Theoretical Biology, 579, 111703 (2024).

28. Wuqiong Zhao, Mengying Huang, Nicola Luigi Bragazzi, Biao Tang*, Haijiang Dai*,  Age-Period-Cohort Analysis of Cardiovascular Mortality Attributable to Environmental Risks in China, American Journal of Preventive Medicine, 66 (2), 371-379 (2024).

27. Qian Li, Yao Bai, Biao Tang*, Modelling the pulse population-wide nucleic acid screening in mitigating and stopping COVID-19 outbreaks in China, BMC Infectious Diseases 23 (1), 280 (2023).

26. Mengqi He, Biao Tang*, Yanni Xiao, Sanyi Tang, Transmission dynamics informed neural network with application to COVID-19 infections, Computers in Biology and Medicine, 165, 107431 (2023).

25. Biao Tang, Weike Zhou, Xia Wang, Hulin Wu, Yanni Xiao, Controlling multiple COVID-19 epidemic waves: an insight from a multi-scale model linking the behaviour change dynamics to the disease transmission dynamics, Bulletin of Mathematical Biology, 84 (10), 106 (2022).

24. Biao Tang, Fan Xia, Nicola Luigi Bragazzi, Zachary McCarthy, Xia Wang, Sha He, Xiaodan Sun, Sanyi Tang, Yanni Xiao, Jianhong Wu, Lessons drawn from China and South Korea for managing COVID-19 epidemic: insights from a comparative modeling study, ISA transactions, 124, 164-175 (2022).

23. Biao Tang, Xue Zhang, Qian Li, Nicola Luigi Bragazzi, Dasantila Golemi-Kotra, Jianhong Wu, The minimal COVID-19 vaccination coverage and efficacy to compensate for a potential increase of transmission contacts, and increased transmission probability of the emerging strains, BMC Public Health, 22 (1), 1258 (2022).

22. Weike Zhou#, Biao Tang#,   Yao Bai, Yiming Shao, Yanni Xiao, Sanyi Tang, The resurgence risk of COVID-19 in China in the presence of immunity waning and ADE: A mathematical modelling study, Vaccine, 40 (49), 7141-7150 (2022).

21. Biao Tang*, Qian Li, Yanni Xiao, Sivabal Sivaloganathan, A novel hybrid model of tumor control, combining pulse surveillance with tumor size-guided therapies, Applied Mathematical Modelling, 104, 259-278 (2022).

20. Hao Zhou, Biao Tang, Huaiping Zhu, Sanyi Tang, Bifurcation and Dynamic Analyses of Non-monotonic Predator–Prey System with Constant Releasing Rate of Predators, Qualitative theory of dynamical systems, 21, 1-40 (2022).

19. Biao Tang*, Wuqiong Zhao, Sliding dynamics and bifurcations of a filippov system with nonlinear threshold control, International Journal of Bifurcation and Chaos, 31 (14), 2150214 (2021).

18. 唐彪，何莎*，境外输入与无症状感染病例对COVID-19疫情二次暴发的影响分析，应用数学学报，44,  492-507 (2021).

17. Biao Tang, Xia Wang, Qian Li, NL Bragazzi, S Tang, Y Xiao, J Wu, Estimation of the transmission risk of the 2019-nCoV and its implication for public health interventions, Journal of Clinical Medicine, 9 (2), 462 (2020).

16. Biao Tang, NL Bragazzi, Q Li, S Tang, Y Xiao, J Wu, An updated estimation of the risk of transmission of the novel coronavirus (2019-nCov) Infectious Disease Modelling, 5, 248-255 (2020).

15. Biao Tang, F Xia, S Tang, NL Bragazzi, Q Li, X Sun, J Liang, Y Xiao, J Wu, The effectiveness of quarantine and isolation determine the trend of the COVID-19 epidemics in the final phase of the current outbreak in China, International Journal of Infectious Diseases, 95, 288-293

14. Biao Tang, Francesca Scarabel, Nicola Luigi Bragazzi, Zachary McCarthy, Michael Glazer, Yanyu Xiao, Jane M Heffernan, Ali Asgary, Nicholas Hume Ogden, Jianhong Wu. De-Escalation by Reversing the Escalation with a Stronger Synergistic Package of Contact Tracing, Quarantine, Isolation and Personal Protection: Feasibility of Preventing a COVID-19 Rebound in Ontario, Canada, as a Case Study. Biology, 9 (5), 100 (2020).

13. Q Zhang, Biao Tang*, T Cheng, S Tang, Bifurcation analysis of a generalized impulsive Kolmogorov model with applications to pest and disease control, SIAM Journal on Applied Mathematics, 80 (4), 1796-1819 (2020).

12. Biao Tang, Yanni Xiao, Beate Sander, Manisha A Kulkarni, RADAM-LAC Research Team, Jianhong Wu, Modelling the impact of antibody-dependent enhancement on disease severity of Zika virus and dengue virus sequential and co-infection, Royal Society Open Science, 7 (4), 191749 (2020). 

11. Y Xiao#, B Tang#, J Wu, RA Cheke, S Tang, Linking key intervention timing to rapid decline of the COVID-19 effective reproductive number to quantify lessons from mainland China, International Journal of Infectious Diseases, 97, 296-298 (2020).

10. Ihsan Ullah Khan, Sanyi Tang, Biao Tang*, The state-dependent impulsive model with action threshold depending on the pest density and its changing rate, Complexity, 2019.

09. Biao Tang, W Zhou, Y Xiao, J Wu, Implication of sexual transmission of Zika on dengue and Zika outbreaks, Math. Biosci. Eng, 16, 5092-5113 (2019).

08. Biao Tang, Xi Huo, Yanni Xiao, Shigui Ruan, Jianhong Wu, A conceptual model for optimizing vaccine coverage to reduce vector-borne infections in the presence of antibody-dependent enhancement, Theoretical Biology and Medical Modelling, 15, 1-19 (2018).

07. Biao Tang, Yanni Xiao, Sivabal Sivaloganathan, Jianhong Wu, A piecewise model of virus-immune system with effector cell-guided therapy, Applied Mathematical Modelling 47, 227-248 (2017).

06. Biao Tang, Yanni Xiao*, Jianhong Wu, Implication of vaccination against dengue for Zika outbreak, Scientific reports, 6 (1), 35623 (2016).

05. Biao Tang, Yanni Xiao, Sanyi Tang, Jianhong Wu, Modelling weekly vector control against dengue in the Guangdong Province of China, Journal of Theoretical Biology 410, 65-76 (2016).

04. Biao Tang, Yanni Xiao*, Jianhong Wu, A piecewise model of virus-immune system with two thresholds, Mathematical Biosciences, 278, 63-76 (2016).

03. Biao Tang, Yanni Xiao, Sanyi Tang, Robert A Cheke, A feedback control model of comprehensive therapy for treating immunogenic tumours, International Journal of Bifurcation and Chaos 26 (3), 1-22 (2016).

02. Biao Tang, Yanni Xiao*, Robert A Cheke, Ning Wang, Piecewise virus-immune dynamic model with HIV-1 RNA-guided therapy, Journal of Theoretical Biology 377, 36-46 (2015).

01. Biao Tang, Yanni Xiao*, Bifurcation analysis of a predator–prey model with anti-predator behaviour, Chaos, Solitons & Fractals 70, 58-68 (2015).

 

Others

  1. S Tang, S Li, B Tang, et al., Hormetic and synergistic effects of cancer treatments revealed by modelling combinations of radio-or chemotherapy with immunotherapy, BMC Cancer, 23 (1), 1040 (2023).
  2. S Tang, X Wang, B Tang, et al., Threshold conditions for curbing COVID-19 with a dynamic zero-case policy derived from 101 outbreaks in China, BMC Public Health, 23 (1), 1084 (2023).
  3. D Yan, B Tang, Z Peng, L Rong, S Tang, Stochastic HIV model coupled with pharmacokinetics and drug adherence may explain intermittent viral blips, Applied Mathematics Letters, 133, 108242 (2022).
  4. H Dai, B Tang, A Younis, JD Kong, W Zhong, NL Bragazzi, Regional and socioeconomic disparities in cardiovascular disease in Canada during 2005–2016: evidence from repeated nationwide cross-sectional surveys, BMJ Global Health, 6 (11), e006809 (2021).
  5. S Zhao, B Tang, SS Musa, et al., Estimating the generation interval and inferring the latent period of COVID-19 from the contact tracing data, Epidemics, 36, 100482 (2021).
  6. F Yin, X Shao, B Tang, X Xia, J Wu, Modeling and analyzing cross-transmission dynamics of related information co-propagation, Scientific Reports, 11 (1), 268 (2021).
  7. Q Li, B Tang, NL Bragazzi, Y Xiao, J Wu, Modeling the impact of mass influenza vaccination and public health interventions on COVID-19 epidemics with limited detection capability, Mathematical Biosciences, 325, 108378 (2020).
  8. Y Zhang, Y Zhou, B Tang, Canard phenomenon in an SIRS epidemic model with nonlinear incidence rate, International Journal of Bifurcation and Chaos, 30 (05), 2050073 (2020).
  9. X Feng, X Huo, B Tang, S Tang, K Wang, J Wu, Modelling and analyzing virus mutation dynamics of chikungunya outbreaks,  Scientific reports, 9 (1), 2860 (2019).
  10. S Tang, C Li, B Tang, X Wang, Global dynamics of a nonlinear state-dependent feedback control ecological model with a multiple-hump discrete map, Communications in Nonlinear Science and Numerical Simulation, 79, 104900 (2019).
  11. Q Zhang, B Tang, S Tang, Vaccination threshold size and backward bifurcation of SIR model with state-dependent pulse control,  Journal of Theoretical Biology, 455, 75-85 (2018).
  12. S Tang, B Tang, A Wang, Y Xiao, Holling II predator–prey impulsive semi-dynamic model with complex Poincaré map, Nonlinear Dynamics 81, 1575-1596 (2015).