Hot keywords, thematic evolution, and emerging trends in the application of deep learning for urban land planning research
Crossref DOI link: https://doi.org/10.1007/s43621-025-02567-x
Published Online: 2026-01-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Qiu, Shuman
Zhang, Chengfeng
Text and Data Mining valid from 2026-01-06
Version of Record valid from 2026-02-03
Article History
Received: 24 September 2025
Accepted: 26 December 2025
First Online: 6 January 2026
Declarations
:
: Not Applicable.
: The authors declare no competing interests.