Hui Xia

Dr. Hui Xia


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

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

Representative Publications

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18 January 2022 in Environmental Science and Pollution Research
Verified
Journal Article
Closed access
PDF file
MHMuhammad Humayun
Muhammad Humayun
LSLang Shu
Lang Shu
WPWenbo Pi
Wenbo Pi
HXHui Xia
Hui Xia
AKAbbas Khan
Abbas Khan
Luo WeiLuo Wei
Luo Wei

1 October 2018 in Sensors and Actuators A: Physical
Verified
Journal Article
Closed access
WSWenxiu Sun
Wenxiu Sun
GLGuoqiang Liu
Guoqiang Liu
HXHui Xia
Hui Xia
ZXZhengwu Xia
Zhengwu Xia

28 April 2020 in Medical Physics
Verified
Journal Article
Closed access
PDF file
LWLili Wang
Lili Wang
GLGuoqiang Liu
Guoqiang Liu
SCSiping Chen
Siping Chen
XCXin Chen
Xin Chen
XMXibo Ma
Xibo Ma
HXHui Xia
Hui Xia

21 November 2022 in Frontiers in Oncology
Verified
Journal Article
Open access
CLChaosen Lu
Chaosen Lu
AYAocai Yang
Aocai Yang
FXFei Xia
Fei Xia
GLGuoqiang Liu
Guoqiang Liu
HZHongliang Zhao
Hongliang Zhao
HXHui Xia
Hui Xia
Objective: Liquid metal (LM) nowadays is considered a new biomedical material for medical treatment. The most common application of LM in medical therapy is taking LM as a carrier for oncology therapeutics. However, the feasibility and direct effect of LM in tumor treatment are still unknown, and how to delineate the negative resection margin (NRM) of the tumor is also a crucial problem in surgery. We aimed to inject LM into interstitial channels of extremities of mice to overlay the surface of the primary tumor to investigate the effect of LM on inhibiting tumor growth and highlight the NRM of the tumor.Methods: In this study, all 50 BALB/c-nude female mice were used to construct the transplanted HepG2-type hepatocellular carcinoma model. One week after the establishment of the model, the mice were divided into three groups, named LM group, PBS group and Control group by injecting different liquid materials into the forelimb interstitial channel of the mice. T2WI image on MRI and Magneto-acoustic tomography (MAT) were used to show the distribution of LM and PBS in vivo. The group comparisons of tumor growth and blood tests were evaluated by one-way ANOVA and post-hoc analysis. And the biocompatibility of LM to BALB/c nude mice was evaluated by histopathological analysis of LM group and control group.Results: The volume change ratio of tumor was significantly lower in LM group than in PBS and Control group after 10 days of grouping. Compared with PBS and Control group, the main indexes of blood tests in LM group were significantly lower and close to normal level. In addition, the distribution of LM in vivo could be clearly observed under T2WI anatomic images and the crossprofile of the tumor in MAT. LM also has a obvious contrast in MRI T2WI and enhanced the amplitude of imaging signal in MAT.Conclusion: LM may inhibit the growth of transplanted hepatoma tumor through tumor encapsulation. In vivo, tumor imaging and LM distribution imaging were achieved by MRI T2WI, which verified that LM injected with interstitial injection made the NRM of tumor more prominent and had the potential of being MRI contrast agent. At the same time, LM could also be a new conductive medium to improve the imaging quality of MAT. Moreover, LM performed mild biocompatibility.

17 March 2025 in Ultrasonics
Verified
Journal Article
Closed access
WZWenqi Zhang
Wenqi Zhang
RYRuolan Yang
Ruolan Yang
LWLai Wei
Lai Wei
JWJinxu Wei
Jinxu Wei
XMXiangying Meng
Xiangying Meng
SWSongmei Wu
Songmei Wu

16 November 2018 in Sensors
Verified
Journal Article
Open access
PDF file
Luo WeiLuo Wei
Luo Wei
YYYang Yuan
Yang Yuan
YWYi WANG
Yi WANG
QFQiuyun Fu
Qiuyun Fu
HXHui Xia
Hui Xia
HLHonglang Li
Honglang Li
An accurate and fast simulation tool plays an important role in the design of wireless passive impedance-loaded surface acoustic wave (SAW) sensors which have received much attention recently. This paper presents a finite transducer analysis method for wireless passive impedance-loaded SAW sensors. The finite transducer analysis method uses a numerically combined finite element method-boundary element method (FEM/BEM) model to analyze non-periodic transducers. In non-periodic transducers, FEM/BEM was the most accurate analysis method until now, however this method consumes central processing unit (CPU) time. This paper presents a faster algorithm to calculate the bulk wave part of the equation coefficient which usually requires a long time. A complete non-periodic FEM/BEM model of the impedance sensors was constructed. Modifications were made to the final equations in the FEM/BEM model to adjust for the impedance variation of the sensors. Compared with the conventional method, the proposed method reduces the computation time efficiently while maintaining the same high degree of accuracy. Simulations and their comparisons with experimental results for test devices are shown to prove the effectiveness of the analysis method.