Zhiyuan Zhao
Biographic Data
| ID | 4290682 |
|---|---|
| NAME | Zhiyuan Zhao |
| GIVEN NAMES | Zhiyuan |
| FAMILY NAME | Zhao |
| SIGNATURE | ZHAO Z |
| AFFILIATIONS | Fuzhou University |
| ORCID | 0000-0002-4113-3796 |
| VERIFIED | Yes |
| TOTAL WORKS | 14 |
| TOTAL CITATIONS | 13 |
| AUTHOR COUNT | 14 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1999 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
Proteome-wide Mendelian randomisation identifies causal links between blood proteins and myopia
Background: Myopia is one of the most prevalent eye diseases worldwide, and its incidence is increasing. However, effective pharmaceutical treatments remain limited. We aimed to identify blood proteins causally associated with myopia as potential drug targets. Methods: We performed a genome-wide association study (GWAS) meta-analysis involving 43 862 myopia cases and 84 820 controls. Then, we conducted a Mendelian randomisation (MR) analysis of b…
An interpretable stratified weighted network for uncovering spatially heterogeneous correlations between the built environment and nighttime urban vitality
How Did the Fever Visit Management Policy During the Covid-19 Epidemic Impact Fever Medical Care Accessibility
Fever visit management (FVM) played a critical role in reducing the risk of local outbreaks caused by positive cases during the coronavirus disease 2019 (COVID-19) pandemic under the dynamic zero-COVID-19 policy. Fever clinics were established to satisfy the healthcare needs of citizens with fever symptoms, including those with and without COVID-19. Learning how FVM affects fever medical care accessibility for citizens in different places can sup…
Quantifying centrality using a novel flow-based measure: Implications for sustainable urban development
Deciphering house prices by integrating street perceptions with a machine-learning algorithm: A case study of Xi'an, China
Identifying the collaborative scheduling areas between ride-hailing and traditional taxi services based on vehicle trajectory data
Interday Stability of Taxi Travel Flow in Urban Areas
Taxi travel flow patterns and their interday stability play an important role in the planning of urban transportation and public service facilities. Existing studies pay little attention to the stability of the travel flow patterns between days, and it is difficult to consider the impact of dynamic changes in daily travel demand analysis when supporting related decision making. Taxi trajectory data have been widely used in urban taxi travel-patte…
The potential of nighttime light remote sensing data to evaluate the development of digital economy: A case study of China at the city level
Community Gardens in China: Spatial distribution, patterns, perceived benefits and barriers
Mining Daily Activity Chains from Large-Scale Mobile Phone Location Data
Understanding residents' daily activity chains provides critical support for various applications in transportation, public health and many other related fields. Recently, mobile phone location datasets have been suggested for mining activity patterns because of their utility and large sample sizes. Although recently machine learning-based models seem to perform well in activity purpose inference using mobile phone location data, most of these mo…
Revealing the relationship of human convergence–divergence patterns and land use: A case study on Shenzhen City, China
The Spatial-Temporal Characteristics of Air Pollution in China from 2001–2014
To provide some useful information about the control of air pollution in China, we studied the spatial-temporal characteristics of air pollution in China from 2001-2014. First, we drew several line charts and histograms of the Air Pollution Index (API) and Air Quality Index (AQI) of 31 capital cities and municipalities to research the distribution across different times and cities; then, we researched the spatial clustering of API and AQI; finall…
Web map-based POI visualization for spatial decision support
The ability to extract useful information from data is a topic of considerable interest, especially with regard to organizing point-of-interest (POI) information containing many attributes as well as data about business. In generating intuitive results from investigations of traditional relational databases, traditional scientific visualization approaches for multidimensional data (e.g., Visualization in Scientific Computing) are inefficient, and…
Improving a digital elevation model of Antarctica using radar remote sensing data and GIS techniques 1
The paper discusses various improvements to the authors’ Antarctic Digital Elevation Model (DEM) published in 1999. Those improvements include error corrections based on anomalies discovered through applications of the DEM, incorporation of new topographic data, and the use of grounding lines and a coastline newly extracted from a SAR image mosaic to constrain the surface interpolation. The authors also illustrate how radar remote sensing data an…
Deciphering house prices by integrating street perceptions with a machine-learning algorithm: A case study of Xi'an, China
Mining Daily Activity Chains from Large-Scale Mobile Phone Location Data
Understanding residents' daily activity chains provides critical support for various applications in transportation, public health and many other related fields. Recently, mobile phone location datasets have been suggested for mining activity patterns because of their utility and large sample sizes. Although recently machine learning-based models seem to perform well in activity purpose inference using mobile phone location data, most of these mo…
Revealing the relationship of human convergence–divergence patterns and land use: A case study on Shenzhen City, China
Quantifying centrality using a novel flow-based measure: Implications for sustainable urban development
Improving a digital elevation model of Antarctica using radar remote sensing data and GIS techniques 1
The paper discusses various improvements to the authors’ Antarctic Digital Elevation Model (DEM) published in 1999. Those improvements include error corrections based on anomalies discovered through applications of the DEM, incorporation of new topographic data, and the use of grounding lines and a coastline newly extracted from a SAR image mosaic to constrain the surface interpolation. The authors also illustrate how radar remote sensing data an…
Web map-based POI visualization for spatial decision support
The ability to extract useful information from data is a topic of considerable interest, especially with regard to organizing point-of-interest (POI) information containing many attributes as well as data about business. In generating intuitive results from investigations of traditional relational databases, traditional scientific visualization approaches for multidimensional data (e.g., Visualization in Scientific Computing) are inefficient, and…
The Spatial-Temporal Characteristics of Air Pollution in China from 2001–2014
To provide some useful information about the control of air pollution in China, we studied the spatial-temporal characteristics of air pollution in China from 2001-2014. First, we drew several line charts and histograms of the Air Pollution Index (API) and Air Quality Index (AQI) of 31 capital cities and municipalities to research the distribution across different times and cities; then, we researched the spatial clustering of API and AQI; finall…
Revealing the relationship of human convergence–divergence patterns and land use: A case study on Shenzhen City, China
Mining Daily Activity Chains from Large-Scale Mobile Phone Location Data
Understanding residents' daily activity chains provides critical support for various applications in transportation, public health and many other related fields. Recently, mobile phone location datasets have been suggested for mining activity patterns because of their utility and large sample sizes. Although recently machine learning-based models seem to perform well in activity purpose inference using mobile phone location data, most of these mo…
Interday Stability of Taxi Travel Flow in Urban Areas
Taxi travel flow patterns and their interday stability play an important role in the planning of urban transportation and public service facilities. Existing studies pay little attention to the stability of the travel flow patterns between days, and it is difficult to consider the impact of dynamic changes in daily travel demand analysis when supporting related decision making. Taxi trajectory data have been widely used in urban taxi travel-patte…
The potential of nighttime light remote sensing data to evaluate the development of digital economy: A case study of China at the city level
Community Gardens in China: Spatial distribution, patterns, perceived benefits and barriers
Identifying the collaborative scheduling areas between ride-hailing and traditional taxi services based on vehicle trajectory data
Deciphering house prices by integrating street perceptions with a machine-learning algorithm: A case study of Xi'an, China
How Did the Fever Visit Management Policy During the Covid-19 Epidemic Impact Fever Medical Care Accessibility
Fever visit management (FVM) played a critical role in reducing the risk of local outbreaks caused by positive cases during the coronavirus disease 2019 (COVID-19) pandemic under the dynamic zero-COVID-19 policy. Fever clinics were established to satisfy the healthcare needs of citizens with fever symptoms, including those with and without COVID-19. Learning how FVM affects fever medical care accessibility for citizens in different places can sup…
Quantifying centrality using a novel flow-based measure: Implications for sustainable urban development
Proteome-wide Mendelian randomisation identifies causal links between blood proteins and myopia
Background: Myopia is one of the most prevalent eye diseases worldwide, and its incidence is increasing. However, effective pharmaceutical treatments remain limited. We aimed to identify blood proteins causally associated with myopia as potential drug targets. Methods: We performed a genome-wide association study (GWAS) meta-analysis involving 43 862 myopia cases and 84 820 controls. Then, we conducted a Mendelian randomisation (MR) analysis of b…
An interpretable stratified weighted network for uncovering spatially heterogeneous correlations between the built environment and nighttime urban vitality
Geography (10 works) · Computer Science (9 works) · Human Mobility and Location-Based Analysis (7 works) · Urban Transport and Accessibility (7 works) · China (5 works) · Engineering (5 works) · Mathematics (5 works) · Artificial Intelligence (4 works) · Cartography (4 works) · Statistics (4 works)