World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
40
Citations
4867
World Ranking
2103
National Ranking
113

Overview

Hongyu Liu is affiliated with the City University of Hong Kong in China. Their research spans the intersecting fields of Engineering and Mathematics, with a notable emphasis on Mathematical Physics, Biomedical Engineering, and Mechanics of Materials. The scholar's work also engages with Electrical and Electronic Engineering as well as Computational Theory and Mathematics.

The scientist's primary research topics include:

  • Numerical methods in inverse problems
  • Microwave Imaging and Scattering Analysis
  • Advanced Mathematical Modeling in Engineering
  • Ultrasonics and Acoustic Wave Propagation
  • Electromagnetic Scattering and Analysis
  • Metamaterials and Metasurfaces Applications
  • Numerical methods in engineering

Co-authorship collaborations form an important part of their scholarly network, with frequent partners such as Huaian Diao, Youjun Deng, Guang-Hui Zheng, Xianchao Wang, and Yi-Hsuan Lin.

Hongyu Liu's recent papers include:

  • Effects of replacement of fishmeal with cottonseed protein concentrate on the growth, intestinal microflora, haematological and antioxidant indices of juvenile golden pompano ( Trachinotus ovatus ), 2020, Aquaculture Nutrition
  • A neural network scheme for recovering scattering obstacles with limited phaseless far-field data, 2020, Journal of Computational Physics
  • On an artificial neural network for inverse scattering problems, 2021, Journal of Computational Physics
  • Scattering by Curvatures, Radiationless Sources, Transmission Eigenfunctions, and Inverse Scattering Problems, 2021, SIAM Journal on Mathematical Analysis
  • Sc-doped NiO nanoflowers sensor with rich oxygen vacancy defects for enhancing VOCs sensing performances, 2020, Journal of Alloys and Compounds

The core publication venues for Hongyu Liu feature journals and repositories such as arXiv (Cornell University), Inverse Problems, SIAM Journal on Applied Mathematics, Inverse Problems and Imaging, and SSRN Electronic Journal. These outlets reflect a focus on applied mathematical methods and computational challenges within engineering disciplines.

In addition to journal articles, Hongyu Liu has contributed a book titled Inverse Problems for Integro-differential Operators, scheduled for publication in 2025 by Springer Nature.

Best Publications

  • Uniqueness in an inverse acoustic obstacle scattering problem for both sound-hard and sound-soft polyhedral scatterers

    Hongyu Liu;Jun Zou

  • Virtual reshaping and invisibility in obstacle scattering

    Hongyu Liu

  • Determining both sound speed and internal source in thermo- and photo-acoustic tomography

    Hongyu Liu;Gunther Uhlmann;Gunther Uhlmann

  • Plasmon Resonance with Finite Frequencies

    Kazunori Ando;Kazunori Ando;Hyeonbae Kang;Hongyu Liu

  • Scattering by Curvatures, Radiationless Sources, Transmission Eigenfunctions, and Inverse Scattering Problems

    Emilia L. K. Blåsten;Hongyu Liu

  • Reflection principle for the Maxwell equations and its application to inverse electromagnetic scattering

    Hongyu Liu;Masahiro Yamamoto;Jun Zou

  • On vanishing near corners of transmission eigenfunctions

    Eemeli Blåsten;Hongyu Liu

  • Strengthened Linear Sampling Method with a Reference Ball

    Jingzhi Li;Hongyu Liu;Jun Zou

  • The multi-symplecticity of partitioned Runge-Kutta methods for hamiltonian pdes

    Jialin Hong;Hongyu Liu;Hongyu Liu;Geng Sun

  • Locating Multiple Multiscale Acoustic Scatterers

    Jingzhi Li;Hongyu Liu;Jun Zou

  • A neural network scheme for recovering scattering obstacles with limited phaseless far-field data

    Weishi Yin;Wenhong Yang;Hongyu Liu

  • Simultaneously recovering potentials and embedded obstacles for anisotropic fractional schrödinger operators

    Xinlin Cao;Yi Hsuan Lin;Hongyu Liu

  • On an artificial neural network for inverse scattering problems

    Yu Gao;Hongyu Liu;Xianchao Wang;Kai Zhang

  • Recovering piecewise constant refractive indices by a single far-field pattern

    Emilia Blåsten;Hongyu Liu

  • On vanishing and localizing of transmission eigenfunctions near singular points: a numerical study

    Eemeli Blåsten;Xiaofei Li;Hongyu Liu;Yuliang Wang

  • Nearly cloaking the full Maxwell equations: Cloaking active contents with general conducting layers

    Gang Bao;Gang Bao;Hongyu Liu;Jun Zou

  • On the geometric structures of transmission eigenfunctions with a conductive boundary condition and applications

    Huaian Diao;Xinlin Cao;Hongyu Liu

  • Mosco convergence for $H$ (curl) spaces, higher integrability for Maxwell's equations, and stability in direct and inverse EM scattering problems

    Hongyu Liu;Luca Rondi;Jingni Xiao

  • Stable determination of sound-hard polyhedral scatterers by a minimal number of scattering measurements

    Hongyu Liu;Michele Petrini;Luca Rondi;Jingni Xiao

  • Fourier method for recovering acoustic sources from multi-frequency far-field data

    Xianchao Wang;Yukun Guo;Deyue Zhang;Hongyu Liu

  • Enhanced near-cloak by FSH lining

    Hongyu Liu;Hongpeng Sun

  • Plasmon resonance with finite frequencies: a validation of the quasi-static approximation for diametrically small inclusions

    Kazunori Ando;Hyeonbae Kang;Hongyu Liu

Frequent Co-Authors

Gunther Uhlmann
Gunther Uhlmann University of Washington
Gang Bao
Gang Bao Zhejiang University
Habib Ammari
Habib Ammari ETH Zurich
Hyeonbae Kang
Hyeonbae Kang Inha University
Jialin Hong
Jialin Hong Chinese Academy of Sciences
Hongkai Zhao
Hongkai Zhao Duke University
Xudong Chen
Xudong Chen National University of Singapore
Masahiro Yamamoto
Masahiro Yamamoto University of Tokyo

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