Haihong Liu

Dr. Haihong Liu


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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7 February 2023 in Biomedical Signal Processing and Control
Verified
Journal Article
Closed access
XQXuanjie Qiu
Xuanjie Qiu
FYFang Yan
Fang Yan
HLHaihong Liu
Haihong Liu

22 July 2014 in Nonlinear Dynamics
Verified
Journal Article
Closed access
PDF file
XCXiaoling Chen
Xiaoling Chen
HLHaihong Liu
Haihong Liu
CXChenglin Xu
Chenglin Xu

8 November 2022 in Expert Systems with Applications
Verified
Journal Article
Closed access
LSLihua Shi
Lihua Shi
FYFang Yan
Fang Yan
HLHaihong Liu
Haihong Liu

1 November 2018 in International Journal of Biomathematics
Verified
Journal Article
Closed access
CWConghua Wang
Conghua Wang
FYFang Yan
Fang Yan
HLHaihong Liu
Haihong Liu
YZYuan Zhang
Yuan Zhang

24 November 2020 in IEEE/ACM Transactions on Computational Biology and Bioinformatics
Verified
Journal Article
Closed access
CWConghua Wang
Conghua Wang
HLHaihong Liu
Haihong Liu
ZMZhonghua Miao
Zhonghua Miao
JZJin Zhou
Jin Zhou
Circadian function and p53 network are interconnected on the molecular level, but the dynamics induced by the interaction between the circadian factor Per2 and the tumor suppressor p53 remains poorly understood. Here, we constructed an integrative model composed of a circadian clock module and a p53-Mdm2 feedback module to study the dynamics of p53-Per2 network in unstressed cells. As expected, the model can accurately predict the circadian rhythm, which is consistent with diverse experimental observations. In addition, using a combination of theoretical analysis and numerical simulation, the results demonstrated that p53 expression enhances the phase advance of circadian rhythm and reduces the robustness of circadian rhythm. Furthermore, the time delay required for the transcription and translation of Per2 protein induces oscillations by undergoing a supercritical Hopf bifurcation, and improves the robustness of circadian rhythm. In summary, this work shows that the p53-Per2 interaction and the time delay are two essential factors for circadian functions.

15 December 2017 in International Journal of Bifurcation and Chaos
Verified
Journal Article
Closed access
CLChengxian Li
Chengxian Li
HLHaihong Liu
Haihong Liu
TZTonghua Zhang
Tonghua Zhang
FYFang Yan
Fang Yan