Quantifying Cross-boundary Spatial Identity with Large Language Models: Evidence from the Shenzhen–Hong Kong Region.


Conference proceedings


Luyao Niu, Yurun Wang, Shi He, Wenbo Guo, Cacheng Niu, Wenjia Zhang
AESOP, Istanbul, 2025 Jul 10

Cite

Cite

APA   Click to copy
Niu, L., Wang, Y., He, S., Guo, W., Niu, C., & Zhang, W. (2025). Quantifying Cross-boundary Spatial Identity with Large Language Models: Evidence from the Shenzhen–Hong Kong Region. Istanbul: AESOP.


Chicago/Turabian   Click to copy
Niu, Luyao, Yurun Wang, Shi He, Wenbo Guo, Cacheng Niu, and Wenjia Zhang. Quantifying Cross-Boundary Spatial Identity with Large Language Models: Evidence from the Shenzhen–Hong Kong Region. Istanbul: AESOP, 2025.


MLA   Click to copy
Niu, Luyao, et al. Quantifying Cross-Boundary Spatial Identity with Large Language Models: Evidence from the Shenzhen–Hong Kong Region. AESOP, 2025.


BibTeX   Click to copy

@proceedings{luyao2025a,
  title = {Quantifying Cross-boundary Spatial Identity with Large Language Models: Evidence from the Shenzhen–Hong Kong Region.},
  year = {2025},
  month = jul,
  day = {10},
  address = {Istanbul},
  publisher = {AESOP},
  author = {Niu, Luyao and Wang, Yurun and He, Shi and Guo, Wenbo and Niu, Cacheng and Zhang, Wenjia},
  month_numeric = {7}
}