How green are the streets? An analysis for central areas of Chinese cities using Tencent Street View
2017 · PLoS ONE · 199 citations
https://doi.org/10.1371/journal.pone.0171110
Y
Ying Long
Claim or correct this author profile
Claim this profile or suggest corrections to the name, affiliation, bio, photo, or paper titles. Approved changes appear as verified CitedEvidence overlays.
338
Papers
7.3K
Citations
45
h-index
131
i10-index
Ying Long is an academic researcher from Guangdong University of Technology. The author has contributed to research in topics: Land Use and Ecosystem Services & Urban Transport and Accessibility & Human Mobility and Location-Based Analysis. The author has an h-index of 45, co-authored 288 publications.
ORCID: 0000-0002-8657-6988Papers by this author
worksDeciphering the recreational use of urban parks: Experiments using multi-source big data for all Chinese cities
2019 · The Science of The Total Environment · 136 citations
https://doi.org/10.1016/j.scitotenv.2019.134896
Large-scale automatic identification of urban vacant land using semantic segmentation of high-resolution remote sensing images
2022 · Landscape and Urban Planning · 57 citations
https://doi.org/10.1016/j.landurbplan.2022.104384
Global projections of future wilderness decline under multiple IPCC Special Report on Emissions Scenarios
2021 · Resources Conservation and Recycling · 25 citations
https://doi.org/10.1016/j.resconrec.2021.105983
Spatiotemporal changes of urban vacant land and its distribution patterns in shrinking cities on the globe
2024 · The Science of The Total Environment · 18 citations
https://doi.org/10.1016/j.scitotenv.2024.174424
Near surface camera informed agricultural land monitoring for climate smart agriculture
2024 · Climate smart agriculture. · 17 citations
https://doi.org/10.1016/j.csag.2024.100008
Research topics
topicsChat about Author
Papers
Chat
Click to start Chat