Yurun Wang
Biographic Data
| ID | 7998080 |
|---|---|
| NAME | Yurun Wang |
| GIVEN NAMES | Yurun |
| FAMILY NAME | Wang |
| SIGNATURE | WANG Y |
| AFFILIATIONS | Peking University |
| ORCID | 0000-0003-4536-2227 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Deep learning for optimizing urban governance by "sensing-processing-responding" cycle
Define and propose the technological framework for the Urban Governance Model. • Explore the baselines of deep learning structure from CNNs to Transformers. • The Sensing–Processing–Response framework has aided Urban Governance effectively. • Demonstrate the potential of applying multimodal large models and multi-agent systems. • Weather and video generation technologies help urban governance via shared prediction traits. With accelerating urbani…
Mesoscale Structure in Urban–Rural Mobility Networks in the Pearl River Delta Area
Understanding the spatial structure of a megaregion with urban and rural areas is crucial for promoting sustainable urbanization and urban–rural integration. Compared to the city network (or the network of urban areas), however, fewer studies focus on the network connecting rural areas or on the comparison of regional structures between urban and rural networks. Using weighted daily mobility flows from the massive mobile-phone signaling data, thi…
Satellite NO 2 trends reveal pervasive impacts of wildfire and soil emissions across California landscapes
Nitrogen dioxide (NO 2 ) plays a pivotal role in the production of secondary pollutants, most importantly ozone (O 3 ) and particulate matter. Regulatory controls have greatly reduced NO 2 in cities, where most of the surface monitoring occurs, but the change in rural environments is less certain. Here, we present summertime (June–September) spatio-temporal patterns of NO 2 concentrations using satellite and ground observations across California …
No prominent works on this page.
Mesoscale Structure in Urban–Rural Mobility Networks in the Pearl River Delta Area
Understanding the spatial structure of a megaregion with urban and rural areas is crucial for promoting sustainable urbanization and urban–rural integration. Compared to the city network (or the network of urban areas), however, fewer studies focus on the network connecting rural areas or on the comparison of regional structures between urban and rural networks. Using weighted daily mobility flows from the massive mobile-phone signaling data, thi…
Satellite NO 2 trends reveal pervasive impacts of wildfire and soil emissions across California landscapes
Nitrogen dioxide (NO 2 ) plays a pivotal role in the production of secondary pollutants, most importantly ozone (O 3 ) and particulate matter. Regulatory controls have greatly reduced NO 2 in cities, where most of the surface monitoring occurs, but the change in rural environments is less certain. Here, we present summertime (June–September) spatio-temporal patterns of NO 2 concentrations using satellite and ground observations across California …
Deep learning for optimizing urban governance by "sensing-processing-responding" cycle
Define and propose the technological framework for the Urban Governance Model. • Explore the baselines of deep learning structure from CNNs to Transformers. • The Sensing–Processing–Response framework has aided Urban Governance effectively. • Demonstrate the potential of applying multimodal large models and multi-agent systems. • Weather and video generation technologies help urban governance via shared prediction traits. With accelerating urbani…
Geography (2 works) · Human Mobility and Location-Based Analysis (2 works) · Meteorology (2 works) · Air quality index (1 work) · Atmospheric and Environmental Gas Dynamics (1 work) · Atmospheric chemistry and aerosols (1 work) · Atmospheric sciences (1 work) · Big data (1 work) · Climate change (1 work) · Corporate governance (1 work)