Ruoyu Wang

Artificial Intelligence · International Journal of Geographical Information Science · 2019–2020

A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ruoyu Wang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Gérard Biau

Who trusts Ruoyu Wang overall

  1. Filip Biljecki

Papers from Ruoyu Wang's perspective

Ordered by how strongly the researchers Ruoyu Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Fully Convolutional Networks for Semantic Segmentation
  2. Analysis of a Random Forests Model
  3. Plug-in bandwidth matrices for bivariate kernel density estimation
  4. Place attachment: How far have we come in the last 40 years?
  5. Scoring diverse cellular morphologies in image-based screens with iterative feedback and machine learning (Proceedings of the National Academy of Sciences of the United States of America)
  6. Recognition of natural scenes from global properties: Seeing the forest without representing the trees (Cognitive Psychology)
  7. Classifying urban land use by integrating remote sensing and social media data (International Journal of Geographical Information Science)
  8. Measuring human perceptions of a large-scale urban region using machine learning
  9. Crime, fear and subjective well-being: How victimization and street crime affect fear and life satisfaction
  10. Neighbourhood greenness and mental wellbeing in Guangzhou, China: What are the pathways? (Landscape and Urban Planning)

Their papers