Xuan Song
Biographic Data
| ID | 3913805 |
|---|---|
| NAME | Xuan Song |
| GIVEN NAMES | Xuan |
| FAMILY NAME | Song |
| SIGNATURE | SONG X |
| AFFILIATIONS | The University of Tokyo |
| ORCID | 0000-0001-5404-3645 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 10 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
GeoAvatar: A big mobile phone positioning data-driven method for individualized pseudo personal mobility data generation
Utilizing mobile phone big data to simulate the impact of park boundary openness on the accessibility
Understanding railway usage behavior with ten million GPS records
Top Management Team Heterogeneity and the Performance of Cross-Border MA
In this paper, we aim to investigate the impact of the top management team (TMT) on the performance of cross-border M&A, using a sample of 270 cross-border M&A events of Chinese listed companies. We find that the heterogeneity of TMT characteristics could affect the performance of cross-border M&A in different ways. More specifically, a higher heterogeneity in gender can improve the M&A performance significantly, while more heterogeneities in ten…
Digital Soil Mapping of Soil Organic Matter with Deep Learning Algorithms
Digital soil mapping has emerged as a new method to describe the spatial distribution of soils economically and efficiently. In this study, a lightweight soil organic matter (SOM) mapping method based on a deep residual network, which we call LSM-ResNet, is proposed to make accurate predictions with background covariates. ResNet not only integrates spatial background information around the observed environmental covariates, but also reduces probl…
A universal mobility-based indicator for regional health level
Using mobile phone big data to identify inequity of artificial light at night exposure: A case study in Tokyo
Epidemic versus economic performances of the Covid-19 lockdown: A big data driven analysis
Measuring spatio-temporal accessibility to emergency medical services through big GPS data
The Influence of Sex Difference on Self-Reference Effects in a Male-Dominated Culture
52 secondary school students from the Chaoshan, China, area, where males are highly valued, were examined for self-reference, mother-reference, and father-reference effects. Because the father is the primary role model in Chaoshan culture, it was predicted that male participants would demonstrate a father-reference effect while females would show a mother-reference effect. The results confirmed that females showed significant self-, mother-, and …
Measuring spatio-temporal accessibility to emergency medical services through big GPS data
Epidemic versus economic performances of the Covid-19 lockdown: A big data driven analysis
A universal mobility-based indicator for regional health level
Using mobile phone big data to identify inequity of artificial light at night exposure: A case study in Tokyo
The Influence of Sex Difference on Self-Reference Effects in a Male-Dominated Culture
52 secondary school students from the Chaoshan, China, area, where males are highly valued, were examined for self-reference, mother-reference, and father-reference effects. Because the father is the primary role model in Chaoshan culture, it was predicted that male participants would demonstrate a father-reference effect while females would show a mother-reference effect. The results confirmed that females showed significant self-, mother-, and …
Measuring spatio-temporal accessibility to emergency medical services through big GPS data
Digital Soil Mapping of Soil Organic Matter with Deep Learning Algorithms
Digital soil mapping has emerged as a new method to describe the spatial distribution of soils economically and efficiently. In this study, a lightweight soil organic matter (SOM) mapping method based on a deep residual network, which we call LSM-ResNet, is proposed to make accurate predictions with background covariates. ResNet not only integrates spatial background information around the observed environmental covariates, but also reduces probl…
A universal mobility-based indicator for regional health level
Using mobile phone big data to identify inequity of artificial light at night exposure: A case study in Tokyo
Epidemic versus economic performances of the Covid-19 lockdown: A big data driven analysis
Understanding railway usage behavior with ten million GPS records
Top Management Team Heterogeneity and the Performance of Cross-Border MA
In this paper, we aim to investigate the impact of the top management team (TMT) on the performance of cross-border M&A, using a sample of 270 cross-border M&A events of Chinese listed companies. We find that the heterogeneity of TMT characteristics could affect the performance of cross-border M&A in different ways. More specifically, a higher heterogeneity in gender can improve the M&A performance significantly, while more heterogeneities in ten…
Utilizing mobile phone big data to simulate the impact of park boundary openness on the accessibility
GeoAvatar: A big mobile phone positioning data-driven method for individualized pseudo personal mobility data generation
Computer Science (8 works) · Business (6 works) · Geography (6 works) · Telecommunications (5 works) · Urban Transport and Accessibility (5 works) · Cartography (4 works) · Human Mobility and Location-Based Analysis (4 works) · Medicine (4 works) · Psychology (4 works) · Big data (3 works)