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Xiang Yan

8 papers hereh-index 14804 citations22 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author4
  • last author2

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CY3
  • stat.AP3
  • cs.LG1
  • physics.soc-ph1
same name
  • Xiang Yan — 8 papers, h 4
  • Xiang Yan — 4 papers, h 3
  • Xiang Yan — 4 papers, h 11
  • Xiang Yan — 3 papers, h 2
  • Xiang Yan — 2 papers, h 0
  • Xiang Yan — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedExamining spatial heterogeneity of ridesourcing demand determinants with explainable machine learning

34 citations · 72 across the 8 of their papers we have counts for

collaborators
Showing cs.CYShow all

3 papers · 1 filter

cs.CY2021★ 3 cited

Estimating Wildfire Evacuation Decision and Departure Timing Using Large-Scale GPS Data

Xilei Zhao, Yiming Xu, Ruggiero Lovreglio +5

With increased frequency and intensity due to climate change, wildfires have become a growing global concern. This creates severe challenges for fire and emergency services as well…

cs.CY2021★ 3 cited

Do e-scooters fill mobility gaps and promote equity before and during COVID-19? A spatiotemporal analysis using open big data

Xiang Yan, Wencui Yang, Xiaojian Zhang +3

The growing popularity of e-scooters and their rapid expansion across urban streets has attracted widespread attention. A major policy question is whether e-scooters substitute exi…

cs.CY2020★ 4 cited

Micromobility Trip Origin and Destination Inference Using General Bikeshare Feed Specification (GBFS) Data

Yiming Xu, Xiang Yan, Virginia P. Sisiopiku +3

Emerging micromobility services (e.g., e-scooters) have a great potential to enhance urban mobility but more knowledge on their usage patterns is needed. The General Bikeshare Feed…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.