Ziwan Zheng
Biographic Data
| ID | 4418243 |
|---|---|
| NAME | Ziwan Zheng |
| GIVEN NAMES | Ziwan |
| FAMILY NAME | Zheng |
| SIGNATURE | ZHENG Z |
| AFFILIATIONS | Zhejiang Police College |
| VERIFIED | No |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 11 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Research on spatiotemporal evolution and influencing factors of county-level crime: A case of Guizhou province in southwest China
Do meteorological and environmental factors influence theft crimes? A study on the risk of theft crimes in HN City
The evolution and formation mechanism of the spatial distribution of cyber fraud offenders in China
The spatial relationship between police-monitored surveillance cameras and urban environment in Haining, China
Will regular Covid-19 control measures impact the spatial distribution of two-wheeled vehicle theft: A case study of NH city, China
Study on the spatiotemporal evolution and influencing factors of theft crimes: A comparative analysis before and during Covid-19
An Improved Differential Evolution Framework Using Network Topology Information for Critical Nodes Detection
Critical nodes detection (CND) focuses on identifying the nodes that significantly impact the network’s robustness and is applied in various fields such as power grids, communication networks, and disease spreading. However, detecting the critical nodes is a challenging nondeterministic polynomial time complete (NP-complete) problem. One possible solution is using the evolutionary algorithm which has a high global search capability. However, the …
Spatiotemporal Distribution and Influencing Factors of Theft during the Pre-Covid-19 and Covid-19 Periods: A Case Study of Haining City, Zhejiang, China
Theft is an inevitable problem in the context of urbanization and poses a challenge to people’s lives and social stability. The study of theft and criminal behavior using spatiotemporal, big, demographic, and neighborhood data is important for guiding security prevention and control. In this study, we analyzed the theft frequency and location characteristics of the study area through mathematical statistics and hot spot analysis methods to discov…
Spatio-temporal characteristics of sexual crime and influencing factors of commercial service facilities: A case study of Haining City, China
An empirical study of social disorganization theory in China
ST3DNetCrime: Improved ST-3DNet Model for Crime Prediction at Fine Spatial Temporal Scales
Crime prediction is crucial for sustainable urban development and protecting citizens’ quality of life. However, there exist some challenges in this regard. First, the spatio-temporal correlations in crime data are relatively complex and are heterogenous in time and space, hence it is difficult to model the spatio-temporal correlation in crime data adequately. Second, crime prediction at fine spatial temporal scales can be applied to micro patrol…
ST3DNetCrime: Improved ST-3DNet Model for Crime Prediction at Fine Spatial Temporal Scales
Crime prediction is crucial for sustainable urban development and protecting citizens’ quality of life. However, there exist some challenges in this regard. First, the spatio-temporal correlations in crime data are relatively complex and are heterogenous in time and space, hence it is difficult to model the spatio-temporal correlation in crime data adequately. Second, crime prediction at fine spatial temporal scales can be applied to micro patrol…
An Improved Differential Evolution Framework Using Network Topology Information for Critical Nodes Detection
Critical nodes detection (CND) focuses on identifying the nodes that significantly impact the network’s robustness and is applied in various fields such as power grids, communication networks, and disease spreading. However, detecting the critical nodes is a challenging nondeterministic polynomial time complete (NP-complete) problem. One possible solution is using the evolutionary algorithm which has a high global search capability. However, the …
Spatiotemporal Distribution and Influencing Factors of Theft during the Pre-Covid-19 and Covid-19 Periods: A Case Study of Haining City, Zhejiang, China
Theft is an inevitable problem in the context of urbanization and poses a challenge to people’s lives and social stability. The study of theft and criminal behavior using spatiotemporal, big, demographic, and neighborhood data is important for guiding security prevention and control. In this study, we analyzed the theft frequency and location characteristics of the study area through mathematical statistics and hot spot analysis methods to discov…
Spatio-temporal characteristics of sexual crime and influencing factors of commercial service facilities: A case study of Haining City, China
An empirical study of social disorganization theory in China
Will regular Covid-19 control measures impact the spatial distribution of two-wheeled vehicle theft: A case study of NH city, China
Study on the spatiotemporal evolution and influencing factors of theft crimes: A comparative analysis before and during Covid-19
The evolution and formation mechanism of the spatial distribution of cyber fraud offenders in China
The spatial relationship between police-monitored surveillance cameras and urban environment in Haining, China
Research on spatiotemporal evolution and influencing factors of county-level crime: A case of Guizhou province in southwest China
Do meteorological and environmental factors influence theft crimes? A study on the risk of theft crimes in HN City
Crime Patterns and Interventions (10 works) · China (7 works) · Computer Science (5 works) · Geography (5 works) · Artificial Intelligence (3 works) · Biology (3 works) · Criminology (3 works) · Cybercrime and Law Enforcement Studies (3 works) · Mathematics (3 works) · Political science (3 works)