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Han Peng

Biographic Data

ID7979645
NAMEHan Peng
GIVEN NAMESHan
FAMILY NAMEPeng
SIGNATUREPENG H
AFFILIATIONSWellcome Centre for Integrative Neuroimaging
ORCID0000-0002-1880-1186
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Physics-informed sensor placement for street canyon wind field reconstruction

    Open Access•Wenjun Jiang, Daniel Ziyue Peng et al.•ARTICLE•Sustainable Cities and Society•2026

  • Research on Integrated Risk of Insurance Company in My Country Based on R-vine Copula Model

    Open Access•Han Peng•ARTICLE•Academic Journal of Humanities &…•2022

    In today's rapid development of financial integration and economic globalization, my country's insurance companies are faced with a large number and complex types of risks. At the same time, the insurance industry occupies a position that cannot be ignored in the financial field. Its response to risks directly affects the development of the entire financial field. Therefore, it is important to study the internal relationship between the risks fac…

  • Optimising a Simple Fully Convolutional Network for Accurate Brain Age Prediction in the PAC 2019 Challenge

    Open Access•Weikang Gong, Christian F Beckmann et al.•ARTICLE•Frontiers in Psychiatry•2021

    Brain age prediction from brain MRI scans not only helps improve brain ageing modelling generally, but also provides benchmarks for predictive analysis methods. Brain-age delta, which is the difference between a subject's predicted age and true age, has become a meaningful biomarker for the health of the brain. Here, we report the details of our brain age prediction models and results in the Predictive Analysis Challenge 2019. The aim of the chal…

No prominent works on this page.

  • Optimising a Simple Fully Convolutional Network for Accurate Brain Age Prediction in the PAC 2019 Challenge

    Open Access•Weikang Gong, Christian F Beckmann et al.•ARTICLE•Frontiers in Psychiatry•2021

    Brain age prediction from brain MRI scans not only helps improve brain ageing modelling generally, but also provides benchmarks for predictive analysis methods. Brain-age delta, which is the difference between a subject's predicted age and true age, has become a meaningful biomarker for the health of the brain. Here, we report the details of our brain age prediction models and results in the Predictive Analysis Challenge 2019. The aim of the chal…

  • Research on Integrated Risk of Insurance Company in My Country Based on R-vine Copula Model

    Open Access•Han Peng•ARTICLE•Academic Journal of Humanities &…•2022

    In today's rapid development of financial integration and economic globalization, my country's insurance companies are faced with a large number and complex types of risks. At the same time, the insurance industry occupies a position that cannot be ignored in the financial field. Its response to risks directly affects the development of the entire financial field. Therefore, it is important to study the internal relationship between the risks fac…

  • Physics-informed sensor placement for street canyon wind field reconstruction

    Open Access•Wenjun Jiang, Daniel Ziyue Peng et al.•ARTICLE•Sustainable Cities and Society•2026

Actuarial science (1 work) · Artificial Intelligence (1 work) · Business (1 work) · Computer Science (1 work) · Convolutional neural network (1 work) · Domain Adaptation and Few-Shot Learning (1 work) · Econometrics (1 work) · Economics (1 work) · Field (mathematics) (1 work) · Financial risk (1 work)

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