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Liyang Xiong

Biographic Data

ID3584496
NAMELiyang Xiong
GIVEN NAMESLiyang
FAMILY NAMEXiong
SIGNATUREXIONG L
AFFILIATIONSNanjing Normal University
ORCID0000-0001-7930-3319
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS3
AUTHOR COUNT7
EDITOR COUNT0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Desynchrony of public attention dynamics for epidemic development across different geographical scales in the online era

    Open Access•Nuozhou Shen, Xiaoxiao Wang et al.•ARTICLE•Habitat International•2026•References: 62

  • Spatiotemporal Transmission Model to Simulate an Interregional Epidemic Spreading

    Zitong Li, Haiping Zhang et al.•ARTICLE•Annals of the American…•2023•Cited by: 3•References: 43

    Infectious disease spread is a spatiotemporal process with significant regional differences that can be affected by multiple factors, such as human mobility and manner of contact. From a geographical perspective, the simulation and analysis of an epidemic can promote an understanding of the contagion mechanism and lead to an accurate prediction of its future trends. The existing methods fail to consider the mutual feedback mechanism of heterogene…

  • Detecting Colocation Flow Patterns in the Geographical Interaction Data

    Open Access•Haiping Zhang, Xingxing Zhou et al.•ARTICLE•Geographical Analysis•2022

    The detection of colocation pattern is an important and widely used method to analyze the spatial associations of geographical objects and events. Existing studies primarily focus on discovering colocation patterns and association rules based on point data. A broad range of flow data types, such as population flow, logistics, and information flow, have emerged in recent years. However, colocation patterns and association rules based on flow data …

  • Quantification of Loess Landforms from Three-Dimensional Landscape Pattern Perspective by Using DEMs

    Open Access•Hong Wei, Sijin Li et al.•ARTICLE•ISPRS International Journal of…•2021

    Quantitative analysis of the differences and the exploration of the evolution models of different loess landform types are greatly important to the in-depth understanding of the evolution process and mechanism of the loess landforms. In this research, several typical loess landform areas in the Chinese Loess Plateau were selected, and the object-oriented image analysis (OBIA) method was employed to identify the basic loess landform types. Three-d…

  • Extracting check dam areas from high‐resolution imagery based on the integration of object‐based image analysis and deep learning

    Open Access•Sijin Li, Liyang Xiong et al.•ARTICLE•Land Degradation and Development•2021

    Soil loss is a global environmental problem that can intensively damage surrounding ecosystems. To control soil loss and secure agricultural activities, check dams are constructed for soil conservation. However, due to ineffective management, many check dams are abandoned and are highly prone to be damaged due to rainstorms. Such a phenomenon would cause more serious damage to surrounding environments than that associated with common soil loss. T…

  • Competition in a Variety Seeking Market With Brand Name Awareness

    Open Access•Liyang Xiong, Honglei Yu et al.•ARTICLE•SAGE Open•2021

    This article investigates service and price competition in a variety seeking market, with the consideration of brand name awareness on consumers. Variety seeking behavior is modeled as a decrease in the willingness to pay for product purchased on the previous occasion. Under a three-stage Hotelling-type model, we show that variety seeking intensifies the competition when both firms are equally known. However, when one firm is better known than th…

  • Evolution of the Physical and Social Spaces of ‘Village Resettlement Communities’ from the Production of Space Perspective: A Case Study of Qunyi Community in Kunshan

    Open Access•Lei Zhou, Liyang Xiong•ARTICLE•International Journal of…•2019

    Village resettlement communities (VRCs) are a special type of urban community that the government has promoted considerably during China's rapid urbanization. This study uses the theory of the production of space as a basis to explore the processes and mechanisms of the physical and social space evolution of VRCs through a case study of Qunyi Community, one of the largest VRCs in Kunshan. Questionnaires and semi-structured interviews were employe…

  • Spatiotemporal Transmission Model to Simulate an Interregional Epidemic Spreading

    Zitong Li, Haiping Zhang et al.•ARTICLE•Annals of the American…•2023•Cited by: 3•References: 43

    Infectious disease spread is a spatiotemporal process with significant regional differences that can be affected by multiple factors, such as human mobility and manner of contact. From a geographical perspective, the simulation and analysis of an epidemic can promote an understanding of the contagion mechanism and lead to an accurate prediction of its future trends. The existing methods fail to consider the mutual feedback mechanism of heterogene…

  • Evolution of the Physical and Social Spaces of ‘Village Resettlement Communities’ from the Production of Space Perspective: A Case Study of Qunyi Community in Kunshan

    Open Access•Lei Zhou, Liyang Xiong•ARTICLE•International Journal of…•2019

    Village resettlement communities (VRCs) are a special type of urban community that the government has promoted considerably during China's rapid urbanization. This study uses the theory of the production of space as a basis to explore the processes and mechanisms of the physical and social space evolution of VRCs through a case study of Qunyi Community, one of the largest VRCs in Kunshan. Questionnaires and semi-structured interviews were employe…

  • Quantification of Loess Landforms from Three-Dimensional Landscape Pattern Perspective by Using DEMs

    Open Access•Hong Wei, Sijin Li et al.•ARTICLE•ISPRS International Journal of…•2021

    Quantitative analysis of the differences and the exploration of the evolution models of different loess landform types are greatly important to the in-depth understanding of the evolution process and mechanism of the loess landforms. In this research, several typical loess landform areas in the Chinese Loess Plateau were selected, and the object-oriented image analysis (OBIA) method was employed to identify the basic loess landform types. Three-d…

  • Extracting check dam areas from high‐resolution imagery based on the integration of object‐based image analysis and deep learning

    Open Access•Sijin Li, Liyang Xiong et al.•ARTICLE•Land Degradation and Development•2021

    Soil loss is a global environmental problem that can intensively damage surrounding ecosystems. To control soil loss and secure agricultural activities, check dams are constructed for soil conservation. However, due to ineffective management, many check dams are abandoned and are highly prone to be damaged due to rainstorms. Such a phenomenon would cause more serious damage to surrounding environments than that associated with common soil loss. T…

  • Competition in a Variety Seeking Market With Brand Name Awareness

    Open Access•Liyang Xiong, Honglei Yu et al.•ARTICLE•SAGE Open•2021

    This article investigates service and price competition in a variety seeking market, with the consideration of brand name awareness on consumers. Variety seeking behavior is modeled as a decrease in the willingness to pay for product purchased on the previous occasion. Under a three-stage Hotelling-type model, we show that variety seeking intensifies the competition when both firms are equally known. However, when one firm is better known than th…

  • Detecting Colocation Flow Patterns in the Geographical Interaction Data

    Open Access•Haiping Zhang, Xingxing Zhou et al.•ARTICLE•Geographical Analysis•2022

    The detection of colocation pattern is an important and widely used method to analyze the spatial associations of geographical objects and events. Existing studies primarily focus on discovering colocation patterns and association rules based on point data. A broad range of flow data types, such as population flow, logistics, and information flow, have emerged in recent years. However, colocation patterns and association rules based on flow data …

  • Spatiotemporal Transmission Model to Simulate an Interregional Epidemic Spreading

    Zitong Li, Haiping Zhang et al.•ARTICLE•Annals of the American…•2023•Cited by: 3•References: 43

    Infectious disease spread is a spatiotemporal process with significant regional differences that can be affected by multiple factors, such as human mobility and manner of contact. From a geographical perspective, the simulation and analysis of an epidemic can promote an understanding of the contagion mechanism and lead to an accurate prediction of its future trends. The existing methods fail to consider the mutual feedback mechanism of heterogene…

  • Desynchrony of public attention dynamics for epidemic development across different geographical scales in the online era

    Open Access•Nuozhou Shen, Xiaoxiao Wang et al.•ARTICLE•Habitat International•2026•References: 62

Computer Science (3 works) · Geography (3 works) · Population (3 works) · Artificial Intelligence (2 works) · COVID-19 epidemiological studies (2 works) · Data-Driven Disease Surveillance (2 works) · Economics (2 works) · Engineering (2 works) · Landslides and related hazards (2 works) · Soil erosion and sediment transport (2 works)

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