Zhao Rong
Biographic Data
| ID | 3817049 |
|---|---|
| NAME | Zhao Rong |
| GIVEN NAMES | Zhao |
| FAMILY NAME | Rong |
| SIGNATURE | RONG Z |
| AFFILIATIONS | Wuhan University |
| ORCID | 0000-0003-4864-5046 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1981 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Differences in the Semantic Content of Abstract and Concrete Words
Real estate expansion and manufacturing wage increase in China
The massive expansion of China's real estate sector has raised manufacturing wage through the channel of reallocating low-skilled labor from manufacturing sectors to the real estate sector. Using data of manufacturing firms in 35 major cities from 2000–2007, we find that the expansion of the real estate sector resulted in higher manufacturing wage. Additionally, we find that this positive effect was more pronounced among labor-intensive firms, am…
A Method for Generating Variable-Scale Maps for Small Displays
With the rapid development of the internet and information technology, visualization techniques for mobile and interactive web maps have developed different requirements. Small screens make it difficult to simultaneously present information details and the surrounding context. Aiming at this problem, this paper proposes a novel variable-scale method that can allow users to properly specify the size, shape, and number of the focus area(s). Our met…
Recognition of building group patterns using graph convolutional network
Recognition of building group patterns is of great significance for understanding and modeling the urban space. However, many current methods cannot fully utilize spatial information and have trouble efficiently dealing with topographic data with high complexity. The design of intelligent computational models that can act directly on topographic data to extract spatial features is critical. To this end, we propose a novel deep neural network base…
Green innovation and firm performance
Initial submarket positioning and firm survival
Talking of Things I have Seen and Heard Myself
Upon listening to 'The Place of Love" I was quite disturbed for several days
Recognition of building group patterns using graph convolutional network
Recognition of building group patterns is of great significance for understanding and modeling the urban space. However, many current methods cannot fully utilize spatial information and have trouble efficiently dealing with topographic data with high complexity. The design of intelligent computational models that can act directly on topographic data to extract spatial features is critical. To this end, we propose a novel deep neural network base…
Real estate expansion and manufacturing wage increase in China
The massive expansion of China's real estate sector has raised manufacturing wage through the channel of reallocating low-skilled labor from manufacturing sectors to the real estate sector. Using data of manufacturing firms in 35 major cities from 2000–2007, we find that the expansion of the real estate sector resulted in higher manufacturing wage. Additionally, we find that this positive effect was more pronounced among labor-intensive firms, am…
Talking of Things I have Seen and Heard Myself
Upon listening to 'The Place of Love" I was quite disturbed for several days
Initial submarket positioning and firm survival
Green innovation and firm performance
A Method for Generating Variable-Scale Maps for Small Displays
With the rapid development of the internet and information technology, visualization techniques for mobile and interactive web maps have developed different requirements. Small screens make it difficult to simultaneously present information details and the surrounding context. Aiming at this problem, this paper proposes a novel variable-scale method that can allow users to properly specify the size, shape, and number of the focus area(s). Our met…
Recognition of building group patterns using graph convolutional network
Recognition of building group patterns is of great significance for understanding and modeling the urban space. However, many current methods cannot fully utilize spatial information and have trouble efficiently dealing with topographic data with high complexity. The design of intelligent computational models that can act directly on topographic data to extract spatial features is critical. To this end, we propose a novel deep neural network base…
Real estate expansion and manufacturing wage increase in China
The massive expansion of China's real estate sector has raised manufacturing wage through the channel of reallocating low-skilled labor from manufacturing sectors to the real estate sector. Using data of manufacturing firms in 35 major cities from 2000–2007, we find that the expansion of the real estate sector resulted in higher manufacturing wage. Additionally, we find that this positive effect was more pronounced among labor-intensive firms, am…
Differences in the Semantic Content of Abstract and Concrete Words
Business (3 works) · China (2 works) · Computer Science (2 works) · Data mining (2 works) · Economics (2 works) · Finance (2 works) · Geographic Information Systems Studies (2 works) · Industrial organization (2 works) · Mathematics (2 works) · Action Observation and Synchronization (1 works)