Bailang Yu
Geography, Planning and Development · 2014–2020
A researcher in the Science corpus: 5 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Geography, Planning and Development — 8 citations into it
- Signal Processing — 5 citations into it
Whom Bailang Yu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Bailang Yu's perspective
Ordered by how strongly the researchers Bailang Yu trusts endorse each paper. Same corpus, a different order for every researcher.
- Mapping regional economic activity from night-time light satellite imagery
- Estimation of Gross Domestic Product at Sub-National Scales using Nighttime Satellite Imagery
- Using luminosity data as a proxy for economic statistics (Proceedings of the National Academy of Sciences of the United States of America)
- The first World Atlas of the artificial night sky brightness
- The NPOESS VIIRS Day/Night Visible Sensor
- VIIRS day/night band (DNB) stray light characterization and correction (Optics & Photonics - Optical Engineering + Applications)
- Illuminating the Capabilities of the Suomi National Polar-Orbiting Partnership (NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (Remote Sensing)
- Mapping the world's photos
- Citizens as sensors: the world of volunteered geography
- MEASURING ECONOMIC GROWTH FROM OUTER SPACE (The American Economic Review)
Their papers
- Identifying and evaluating poverty using multisource remote sensing and point of interest (POI) data: A case study of Chongqing, China (2020) — 124 citations
- Applications of Satellite Remote Sensing of Nighttime Light Observations: Advances, Challenges, and Perspectives (2019) — 306 citations
- Exploring spatiotemporal patterns of electric power consumption in countries along the Belt and Road (2018) — 110 citations
- Extracting and understanding urban areas of interest using geotagged photos (2015) — 327 citations
- Evaluating the Ability of NPP-VIIRS Nighttime Light Data to Estimate the Gross Domestic Product and the Electric Power Consumption of China at Multiple Scales: A Comparison with DMSP-OLS Data (2014) — 580 citations