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Chengyi Liu

Biographic Data

ID9614868
NAMEChengyi Liu
GIVEN NAMESChengyi
FAMILY NAMELiu
SIGNATURELIU C
AFFILIATIONSPLA Information Engineering University
ORCID0000-0002-6642-8785
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS0
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Zishen Qingre Lishi Huayu recipe improves polycystic ovary syndrome by restoring granulosa cell homeostasis via C/EBPβ/STAT3 signaling

    Open Access•Jing Jin, Peishuang Li et al.•ARTICLE•Journal of Ethnopharmacology•2026

  • Sim

    Open Access•Hanxue Zhang, Xianyong Gong et al.•ARTICLE•ISPRS International Journal of…•2025

    Natural language spatial relations are often ambiguous and polysemic. They are also pluralistic and subjective in nature. Their descriptive methods are crucial but difficult in cartography, geographic information science, and map generalization. “Between” is a context-concerned spatial concept which is widely used to describe the arrangement of spatial objects. It involves the spatial distribution of at least three spatial objects and describes a…

  • Integrated transcriptomic and proteomic analysis reveals that the anti-endometriosis effects of Pingchong Jiangni recipe may involve pathways and genes/proteins related to inflammation, autophagy, mit…

    Open Access•Cheng-Yi Liu, Chengyi Liu et al.•ARTICLE•Journal of Ethnopharmacology•2025

  • Love is Glorious

    Open Access•Chi Wan, Chengyi Liu et al.•ARTICLE•Asian Culture and History•2024

    About the educational films, most of the existing studies in academia and culture are based on the construction of theoretical perspectives, or the discussion of the narrative content and the transformation of themes of a certain genre, but there is a lack of important educational issues based on the analysis of film texts. As a popular narrative genre of educational films in China since the beginning of this century, “youth narrative” has a wide…

  • Polyline simplification based on the artificial neural network with constraints of generalization knowledge

    Jiawei Du, Fang Wu et al.•ARTICLE•Cartography and Geographic…•2022

    The present paper presents techniques for polyline simplification based on an artificial neural network within the constraints of generalization knowledge. The proposed method measures polyline shape characteristics that influence polyline simplification using abstracted descriptors and then introduces these descriptors into the artificial neural network as input properties. In total, 18 descriptors categorized into three types are presented in d…

  • Pattern Recognition of Complex Distributed Ditches

    Open Access•Chengyi Liu, Fang Wu et al.•ARTICLE•ISPRS International Journal of…•2021

    The ditch pattern reflects the distribution characteristics of an agricultural drainage system and needs to be detected to enrich the data source before map generalization. Due to several breaks, the connectivity of the ditches is destroyed between ditches and rivers in map representation, making its structure complex. Previous studies have primarily focused on extracting parallel ditches, paying less attention to complex ditches with breaks. The…

No prominent works on this page.

  • Pattern Recognition of Complex Distributed Ditches

    Open Access•Chengyi Liu, Fang Wu et al.•ARTICLE•ISPRS International Journal of…•2021

    The ditch pattern reflects the distribution characteristics of an agricultural drainage system and needs to be detected to enrich the data source before map generalization. Due to several breaks, the connectivity of the ditches is destroyed between ditches and rivers in map representation, making its structure complex. Previous studies have primarily focused on extracting parallel ditches, paying less attention to complex ditches with breaks. The…

  • Polyline simplification based on the artificial neural network with constraints of generalization knowledge

    Jiawei Du, Fang Wu et al.•ARTICLE•Cartography and Geographic…•2022

    The present paper presents techniques for polyline simplification based on an artificial neural network within the constraints of generalization knowledge. The proposed method measures polyline shape characteristics that influence polyline simplification using abstracted descriptors and then introduces these descriptors into the artificial neural network as input properties. In total, 18 descriptors categorized into three types are presented in d…

  • Love is Glorious

    Open Access•Chi Wan, Chengyi Liu et al.•ARTICLE•Asian Culture and History•2024

    About the educational films, most of the existing studies in academia and culture are based on the construction of theoretical perspectives, or the discussion of the narrative content and the transformation of themes of a certain genre, but there is a lack of important educational issues based on the analysis of film texts. As a popular narrative genre of educational films in China since the beginning of this century, “youth narrative” has a wide…

  • Sim

    Open Access•Hanxue Zhang, Xianyong Gong et al.•ARTICLE•ISPRS International Journal of…•2025

    Natural language spatial relations are often ambiguous and polysemic. They are also pluralistic and subjective in nature. Their descriptive methods are crucial but difficult in cartography, geographic information science, and map generalization. “Between” is a context-concerned spatial concept which is widely used to describe the arrangement of spatial objects. It involves the spatial distribution of at least three spatial objects and describes a…

  • Integrated transcriptomic and proteomic analysis reveals that the anti-endometriosis effects of Pingchong Jiangni recipe may involve pathways and genes/proteins related to inflammation, autophagy, mit…

    Open Access•Cheng-Yi Liu, Chengyi Liu et al.•ARTICLE•Journal of Ethnopharmacology•2025

  • Zishen Qingre Lishi Huayu recipe improves polycystic ovary syndrome by restoring granulosa cell homeostasis via C/EBPβ/STAT3 signaling

    Open Access•Jing Jin, Peishuang Li et al.•ARTICLE•Journal of Ethnopharmacology•2026

Computer Science (3 works) · Data mining (3 works) · Artificial Intelligence (2 works) · Engineering (2 works) · Generalization (2 works) · Geographic Information Systems Studies (2 works) · Geography (2 works) · Mathematics (2 works) · 3D Surveying and Cultural Heritage (1 work) · Angiogenesis (1 work)

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