Daihai He

11.5k total citations · 2 hit papers
225 papers, 6.8k citations indexed

About

Daihai He is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology. According to data from OpenAlex, Daihai He has authored 225 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Modeling and Simulation, 112 papers in Infectious Diseases and 58 papers in Epidemiology. Recurrent topics in Daihai He's work include COVID-19 epidemiological studies (136 papers), SARS-CoV-2 and COVID-19 Research (63 papers) and Influenza Virus Research Studies (35 papers). Daihai He is often cited by papers focused on COVID-19 epidemiological studies (136 papers), SARS-CoV-2 and COVID-19 Research (63 papers) and Influenza Virus Research Studies (35 papers). Daihai He collaborates with scholars based in Hong Kong, China and United States. Daihai He's co-authors include Shi Zhao, Salihu S. Musa, Lin Yang, Daozhou Gao, Yijun Lou, Maggie Haitian Wang, Weiming Wang, Qianying Lin, Jinjun Ran and Guangpu Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and SHILAP Revista de lepidopterología.

In The Last Decade

Daihai He

218 papers receiving 6.6k citations

Hit Papers

Preliminary estimation of the basic reproduction number o... 2020 2026 2022 2024 2020 2020 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daihai He Hong Kong 36 4.0k 3.0k 1.6k 1.2k 1.0k 225 6.8k
Stefano Merler Italy 46 5.1k 1.3× 2.6k 0.9× 1.6k 1.0× 1.5k 1.2× 2.2k 2.1× 157 9.2k
Marco Ajelli United States 42 5.6k 1.4× 2.8k 0.9× 1.2k 0.7× 1.6k 1.3× 2.1k 2.0× 128 8.6k
Moritz U. G. Kraemer United Kingdom 39 3.9k 1.0× 3.5k 1.2× 3.6k 2.3× 1.5k 1.2× 1.3k 1.2× 101 9.2k
Shi Zhao Hong Kong 34 3.2k 0.8× 2.5k 0.8× 1.1k 0.7× 1.1k 0.9× 790 0.8× 215 6.0k
Hiroshi Nishiura Japan 49 4.9k 1.2× 4.2k 1.4× 1.8k 1.2× 1.0k 0.8× 3.2k 3.1× 350 10.3k
Seyed M. Moghadas Canada 34 2.7k 0.7× 1.7k 0.6× 1.2k 0.8× 488 0.4× 1.2k 1.2× 157 4.7k
Caroline O. Buckee United States 50 2.6k 0.6× 1.2k 0.4× 2.6k 1.7× 583 0.5× 1.8k 1.7× 147 8.1k
Alex R. Cook Singapore 46 2.6k 0.7× 2.8k 1.0× 1.5k 0.9× 992 0.8× 2.0k 1.9× 229 8.8k
Pierre‐Yves Boëlle France 56 4.1k 1.0× 3.1k 1.0× 1.4k 0.9× 928 0.7× 4.4k 4.3× 302 12.7k
Joseph T. Wu Hong Kong 44 4.9k 1.2× 4.9k 1.6× 920 0.6× 1.6k 1.3× 3.0k 2.8× 153 11.1k

Countries citing papers authored by Daihai He

Since Specialization
Citations

This map shows the geographic impact of Daihai He's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daihai He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daihai He more than expected).

Fields of papers citing papers by Daihai He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daihai He. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daihai He. The network helps show where Daihai He may publish in the future.

Co-authorship network of co-authors of Daihai He

This figure shows the co-authorship network connecting the top 25 collaborators of Daihai He. A scholar is included among the top collaborators of Daihai He based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daihai He. Daihai He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhao, Shi, Wangnan Cao, Zihao Guo, et al.. (2024). All cause and cause specific mortality associated with transition to daylight saving time in US: nationwide, time series, observational study. SHILAP Revista de lepidopterología. 3(1). e000771–e000771. 3 indexed citations
2.
Xie, Songsong, Zihao Guo, Xiu Gu, et al.. (2024). A tentative exploration for the association between influenza virus infection and SARS-CoV-2 infection in Shihezi, China: A test-negative study. Infectious Disease Modelling. 10(1). 201–206.
3.
Xue, Ling, et al.. (2024). Exploring the seasonality and optimal control strategy of HIV/AIDS epidemic in China: The impact of seasonal testing. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(7). 1 indexed citations
4.
He, Daihai, Yael Artzy‐Randrup, Salihu S. Musa, et al.. (2024). Modelling the unexpected dynamics of COVID-19 in Manaus, Brazil. Infectious Disease Modelling. 9(2). 557–568. 1 indexed citations
5.
Owusu‐Boaitey, Nana, Lucas Böttcher, Daihai He, et al.. (2024). Impact of cross-reactivity and herd immunity on SARS-CoV-2 pandemic severity. Infectious Diseases. 56(10). 897–902. 2 indexed citations
6.
Deng, Yang, et al.. (2024). Trending on the use of Google mobility data in COVID-19 mathematical models. Advances in Continuous and Discrete Models. 2024(1). 1 indexed citations
7.
Demirhan, Haydar, et al.. (2024). The 1978 English boarding school influenza outbreak: where the classic SEIR model fails. Journal of The Royal Society Interface. 21(220). 20240394–20240394. 1 indexed citations
8.
Jin, Zhen, et al.. (2023). Twice evasions of Omicron variants explain the temporal patterns in six Asian and Oceanic countries. BMC Infectious Diseases. 23(1). 25–25. 8 indexed citations
9.
Liu, Jing, et al.. (2022). Differences in case-fatality-rate of emerging SARS-CoV-2 variants. Public Health in Practice. 5. 100350–100350. 10 indexed citations
10.
Guo, Zihao, Shi Zhao, Shengzhi Sun, et al.. (2022). Estimation of the serial interval of monkeypox during the early outbreak in 2022. Journal of Medical Virology. 95(1). e28248–e28248. 7 indexed citations
11.
Zhao, Shi, Zu‐Yao Yang, Salihu S. Musa, et al.. (2021). Attach importance of the bootstrapttest against Student'sttest in clinical epidemiology: a demonstrative comparison using COVID-19 as an example. Epidemiology and Infection. 149. e107–e107. 5 indexed citations
12.
Lou, Yijun, et al.. (2021). A Zika Endemic Model for the Contribution of Multiple Transmission Routes. Bulletin of Mathematical Biology. 83(11). 111–111. 15 indexed citations
13.
Zheng, Hua, et al.. (2021). Infection fatality ratio and case fatality ratio of COVID-19. International Journal of Infectious Diseases. 113. 43–46. 23 indexed citations
14.
Zhao, Shi, Yu Zhao, Biao Tang, et al.. (2021). Shrinkage in serial intervals across transmission generations of COVID-19. Journal of Theoretical Biology. 529. 110861–110861. 1 indexed citations
15.
Tao, Jun, et al.. (2020). Influenza versus COVID-19 cases among influenza-like illness patients in travelers from Wuhan to Hong Kong in January 2020. International Journal of Infectious Diseases. 101. 323–325. 2 indexed citations
16.
Musa, Salihu S., et al.. (2020). Estimation of exponential growth rate and basic reproduction number of the coronavirus disease 2019 (COVID-19) in Africa. Infectious Diseases of Poverty. 9(1). 96–96. 67 indexed citations
17.
Yang, Shu, Alice P. Y. Chiu, Qianying Lin, et al.. (2018). HIV epidemics in Shenzhen and Chongqing, China. PLoS ONE. 13(2). e0192849–e0192849. 24 indexed citations
18.
Chiu, Alice P. Y., et al.. (2017). Patterns of influenza vaccination coverage in the United States from 2009 to 2015. International Journal of Infectious Diseases. 65. 122–127. 21 indexed citations
19.
Lin, Qianying, et al.. (2017). Effects of reactive social distancing on the 1918 influenza pandemic. PLoS ONE. 12(7). e0180545–e0180545. 29 indexed citations
20.
Tang, Xiujuan, Shi Zhao, Alice P. Y. Chiu, et al.. (2017). Modelling the transmission and control strategies of varicella among school children in Shenzhen, China. PLoS ONE. 12(5). e0177514–e0177514. 15 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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