Yihang Li
Biographic Data
| ID | 7902515 |
|---|---|
| NAME | Yihang Li |
| GIVEN NAMES | Yihang |
| FAMILY NAME | Li |
| SIGNATURE | LI Y |
| AFFILIATIONS | Peking University |
| ORCID | 0000-0001-5677-0440 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
External ambient radiation exposure and cancer mortality trends around Qinshan nuclear power plant phase I
This study evaluates the ambient external radiation levels and their association with public health around the Qinshan Nuclear Power Plant (QNPP) before and after the extended service of its Phase I project. By monitoring the cumulative ambient external exposure around QNPP from 2010 to 2023 and analyzing the health data of residents in Haiyan County from 2012 to 2022, changes in cancer mortality-related rates were examined. Results showed that d…
Massive Retail Location Choice as a Human‐Flow‐Covering Problem
In this article we reframe the massive location choice problem for retail chains by proposing an optimization model that integrates human mobility. Traditional methods of massive location choice encounter limitations rooted in assumptions such as power‐law distance decay and oversimplified travel patterns. In response, we present a spatial operations research model aimed at maximizing customer coverage, using massive individual trajectories as a …
A social sensing approach for everyday urban problem-handling with the 12345-complaint hotline data
Multiscale Spatial Polygonal Object Granularity Factor Matching Method Based on BPNN
Spatial object matching is one of the fundamental technologies used for updating and merging spatial data. This study focused mainly on the matching optimization of multiscale spatial polygonal objects. We proposed a granularity factor evaluation index that was developed to promote the recognition ability of complex matches in multiscale spatial polygonal object matching. Moreover, we designed the granularity factor matching model based on a back…
The Impact of Covid-19 on Pedestrian Flow Patterns in Urban POIs—An Example from Beijing
The COVID-19 pandemic is a major challenge for society as a whole, and analyzing the impact of the spread of the epidemic and government control measures on the travel patterns of urban residents can provide powerful help for city managers to designate top-level epidemic prevention policies and specific epidemic prevention measures. This study investigates whether it is more appropriate to use groups of POIs with similar pedestrian flow patterns …
Bibliometric Analysis of Current Status on Bioremediation of Petroleum Contaminated Soils during 2000–2019
Petroleum contaminated soils have become a great concern worldwide. Bioremediation has been widely recognized as one of the most promising technologies and has played an important role in solving the issues of petroleum contaminated soils. In this study, a bibliometric analysis using VOSviewer based on Web of Science data was conducted to provide an overview on the field of bioremediation of petroleum contaminated soils. A total of 7575 articles …
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Multiscale Spatial Polygonal Object Granularity Factor Matching Method Based on BPNN
Spatial object matching is one of the fundamental technologies used for updating and merging spatial data. This study focused mainly on the matching optimization of multiscale spatial polygonal objects. We proposed a granularity factor evaluation index that was developed to promote the recognition ability of complex matches in multiscale spatial polygonal object matching. Moreover, we designed the granularity factor matching model based on a back…
The Impact of Covid-19 on Pedestrian Flow Patterns in Urban POIs—An Example from Beijing
The COVID-19 pandemic is a major challenge for society as a whole, and analyzing the impact of the spread of the epidemic and government control measures on the travel patterns of urban residents can provide powerful help for city managers to designate top-level epidemic prevention policies and specific epidemic prevention measures. This study investigates whether it is more appropriate to use groups of POIs with similar pedestrian flow patterns …
Bibliometric Analysis of Current Status on Bioremediation of Petroleum Contaminated Soils during 2000–2019
Petroleum contaminated soils have become a great concern worldwide. Bioremediation has been widely recognized as one of the most promising technologies and has played an important role in solving the issues of petroleum contaminated soils. In this study, a bibliometric analysis using VOSviewer based on Web of Science data was conducted to provide an overview on the field of bioremediation of petroleum contaminated soils. A total of 7575 articles …
A social sensing approach for everyday urban problem-handling with the 12345-complaint hotline data
External ambient radiation exposure and cancer mortality trends around Qinshan nuclear power plant phase I
This study evaluates the ambient external radiation levels and their association with public health around the Qinshan Nuclear Power Plant (QNPP) before and after the extended service of its Phase I project. By monitoring the cumulative ambient external exposure around QNPP from 2010 to 2023 and analyzing the health data of residents in Haiyan County from 2012 to 2022, changes in cancer mortality-related rates were examined. Results showed that d…
Massive Retail Location Choice as a Human‐Flow‐Covering Problem
In this article we reframe the massive location choice problem for retail chains by proposing an optimization model that integrates human mobility. Traditional methods of massive location choice encounter limitations rooted in assumptions such as power‐law distance decay and oversimplified travel patterns. In response, we present a spatial operations research model aimed at maximizing customer coverage, using massive individual trajectories as a …
Artificial Intelligence (3 works) · Computer Science (3 works) · Human Mobility and Location-Based Analysis (2 works) · Artificial neural network (1 work) · Automated Road and Building Extraction (1 work) · Backpropagation (1 work) · Beijing (1 work) · Biology (1 work) · Bioremediation (1 work) · Categorization (1 work)