Institution
Beijing University of Technology
Education•Beijing, Beijing, China•
About: Beijing University of Technology is a education organization based out in Beijing, Beijing, China. It is known for research contribution in the topics: Microstructure & Laser. The organization has 31929 authors who have published 31987 publications receiving 352112 citations. The organization is also known as: Běijīng Gōngyè Dàxué & Beijing Polytechnic University.
Papers published on a yearly basis
Papers
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TL;DR: A mathematical model is proposed to analyzes this epidemic, based on a dynamic mechanism that incorporating the intrinsic impact of hidden la- tent and infectious cases on the entire process of transmission, which indicates that, the outbreak in Wuhan is predicted to be ended in the early April.
Abstract: The outbreak of novel coronavirus-caused pneumonia (COVID-19) in Wuhan has attracted worldwide attention. Here, we propose a generalized SEIR model to analyze this epidemic. Based on the public data of National Health Commission of China from Jan. 20th to Feb. 9th, 2020, we reliably estimate key epidemic parameters and make predictions on the inflection point and possible ending time for 5 different regions. According to optimistic estimation, the epidemics in Beijing and Shanghai will end soon within two weeks, while for most part of China, including the majority of cities in Hubei province, the success of anti-epidemic will be no later than the middle of March. The situation in Wuhan is still very severe, at least based on public data until Feb. 15th. We expect it will end up at the beginning of April. Moreover, by inverse inference, we find the outbreak of COVID-19 in Mainland, Hubei province and Wuhan all can be dated back to the end of December 2019, and the doubling time is around two days at the early stage.
575 citations
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TL;DR: DenseNets has tendency’s to consistently improve in accuracy with growing number of epochs, with no signs of overfitting and performance deterioration, and requires a considerably less number of parameters and reasonable computing time to achieve state-of-the-art performances.
563 citations
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TL;DR: A meta-summary reliability analysis of seven common brain networks revealed that the heteromodal associative networks were mostly reliable across the seven networks, and observations can guide the use of reliable metrics and further improvement of test-retest reliability for other metics in functional connectomics.
545 citations
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545 citations
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TL;DR: Wang et al. as discussed by the authors investigated correlations between the occurrence of landslides with geologic and geomorphologic conditions, and seismic parameters, and found that both LAD and LPD have strong positive correlations with slope steepness, distance from the major surface rupture and seismic intensity.
539 citations
Authors
Showing all 32228 results
Name | H-index | Papers | Citations |
---|---|---|---|
Zhong Lin Wang | 245 | 2529 | 259003 |
Pulickel M. Ajayan | 176 | 1223 | 136241 |
James M. Tour | 143 | 859 | 91364 |
Dacheng Tao | 133 | 1362 | 68263 |
Lei Zhang | 130 | 2312 | 86950 |
Hong-Cai Zhou | 114 | 489 | 66320 |
Xiaodong Li | 104 | 1300 | 49024 |
Lin Li | 104 | 2027 | 61709 |
Ming Li | 103 | 1669 | 62672 |
Wenjun Zhang | 96 | 976 | 38530 |
Lianzhou Wang | 95 | 596 | 31438 |
Miroslav Krstic | 95 | 955 | 42886 |
Zhiguo Yuan | 93 | 633 | 28645 |
Xiang Gao | 92 | 1359 | 42047 |
Xiao-yan Li | 85 | 528 | 31861 |