Junhui Xing

Prof. Dr. Junhui Xing

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 May 2016 in Geological Journal
Verified
Journal Article
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JXJunhui Xing
Junhui Xing
XJXiaodian Jiang
Xiaodian Jiang
DLDeyong Li
Deyong Li

14 September 2024 in Intelligent Marine Technology and Systems
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Journal Article
Open access
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JWJiayi Wei
Jiayi Wei
WGWende Gong
Wende Gong
JXJunhui Xing
Junhui Xing
HXHaowei Xu
Haowei Xu
Distributed acoustic sensing (DAS) is an emerging vibration signal acquisition technology that transforms existing fiber-optic communication infrastructure into an array of thousands of seismic sensors. Due to its advantages of low cost, easy deployment, continuous measurement, and long-distance measurement, DAS has rapidly developed applications in the field of marine geophysics. This paper systematically summarizes the status of DAS technology applications in marine seismic monitoring, tsunami and ocean-current monitoring, ocean thermometry, marine target monitoring, and ocean-bottom imaging; analyzes the problems faced during its development; and discusses prospects for further applications in marine geoscience and future research directions.

27 May 2023 in Journal of Geophysical Research: Solid Earth
Verified
Journal Article
Closed access
HZHao Zhang
Hao Zhang
MSMechita C. Schmidt‐Aursch
Mechita C. Schmidt‐Aursch
WGWolfram H. Geissler
Wolfram H. Geissler
JXJunhui Xing
Junhui Xing

2 September 2022 in Geological Journal
Verified
Journal Article
Closed access
WGWei Gong
Wei Gong
JXJunhui Xing
Junhui Xing
CXChong Xu
Chong Xu
HZHao Zhang
Hao Zhang
YLYujuan Liu
Yujuan Liu
WCWenwen Chen
Wenwen Chen

20 July 2023 in Remote Sensing
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Journal Article
Open access
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YLYing Liu
Ying Liu
MLMengyuan Liu
Mengyuan Liu
JXJunhui Xing
Junhui Xing
YYYixin Ye
Yixin Ye
With global warming, Arctic sea ice, as one of the important factors regulating climate, has put forward new requirements for research. At present, the ground penetrating radar (GPR) is a powerful tool to obtain the structure of Arctic sea ice. Traditional offset imaging techniques no longer meet research requirements, and the two-parameter full waveform inversion (FWI) method has received widespread attention. To solve the high nonlinearity and ill-posed problem of FWI, the L-BFGS optimization algorithm and Wolfe criterion of inexact line search were used to update the model. The parameter scale factor, multiscale inversion strategy, and total variation (TV) regularization were introduced to optimize the inversion results. Finally, the inversion of anomalous bodies with different scales and different physical parameters is carried out, which verifies the reliability of the proposed method for dual-parameter imaging of Arctic sea ice and provides a powerful tool for the study of Arctic sea ice.

24 January 2023 in Geophysical Prospecting
Verified
Journal Article
Closed access
JXJunhui Xing
Junhui Xing
HXHaowei Xu
Haowei Xu
XJXiaodian Jiang
Xiaodian Jiang
WCWenwen Chen
Wenwen Chen