Cuiling Liu
Biographic Data
| ID | 4417635 |
|---|---|
| NAME | Cuiling Liu |
| GIVEN NAMES | Cuiling |
| FAMILY NAME | Liu |
| SIGNATURE | LIU C |
| AFFILIATIONS | Urban Land Institute |
| ORCID | 0000-0001-7646-1418 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Detecting cyber employment fraud in platform-based space: A multi-agent large language model approach
Exploring the impact of urban morphology on heat stress: A high-resolution microclimate simulation study
Extreme heat poses significant environmental and health risks. These risks often disproportionately affect marginalized and disenfranchised communities. Neighborhood-scale planning is essential for addressing climate change through adaptation strategies. Currently, there is a lack of long-term weather data at the neighborhood level, limiting the ability to analyze localized weather trends and compare variations across areas. This gap persists due…
Toward urban climate downscaling in the Houston metro area: An evaluation of the urban weather generator model
Akebia saponin D from Dipsacus asper wall. Ex C.B. Clarke ameliorates skeletal muscle insulin resistance through activation of IGF1R/AMPK signaling pathway
Vertical dimension of urban thermal environments: A literature survey
Mitigating the zonal effect in modeling urban population density functions by Monte Carlo simulation
Most empirical studies indicate that the pattern of declining urban population density with distance from the city center is best captured by a negative exponential function. Such studies usually use aggregated data in census area units that are subject to several criticisms such as modifiable areal unit problem, unfair sampling, and uncertainty in distance measure. In order to mitigate these concerns associated, this paper uses Monte Carlo simul…
Mitigating the zonal effect in modeling urban population density functions by Monte Carlo simulation
Most empirical studies indicate that the pattern of declining urban population density with distance from the city center is best captured by a negative exponential function. Such studies usually use aggregated data in census area units that are subject to several criticisms such as modifiable areal unit problem, unfair sampling, and uncertainty in distance measure. In order to mitigate these concerns associated, this paper uses Monte Carlo simul…
Akebia saponin D from Dipsacus asper wall. Ex C.B. Clarke ameliorates skeletal muscle insulin resistance through activation of IGF1R/AMPK signaling pathway
Vertical dimension of urban thermal environments: A literature survey
Exploring the impact of urban morphology on heat stress: A high-resolution microclimate simulation study
Extreme heat poses significant environmental and health risks. These risks often disproportionately affect marginalized and disenfranchised communities. Neighborhood-scale planning is essential for addressing climate change through adaptation strategies. Currently, there is a lack of long-term weather data at the neighborhood level, limiting the ability to analyze localized weather trends and compare variations across areas. This gap persists due…
Toward urban climate downscaling in the Houston metro area: An evaluation of the urban weather generator model
Detecting cyber employment fraud in platform-based space: A multi-agent large language model approach
Urban Heat Island Mitigation (3 works) · Building Energy and Comfort Optimization (2 works) · Climate change (2 works) · Geography (2 works) · Mathematics (2 works) · Adaptation (eye) (1 works) · Adipose Tissue and Metabolism (1 works) · Air temperature (1 works) · AMPK (1 works) · Artificial Intelligence in Healthcare and Education (1 works)