Congxiao Wang

According to our database1, Congxiao Wang authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Enhancing nighttime light remote Sensing: Introducing the nighttime light background value (NLBV) for urban applications.
Int. J. Appl. Earth Obs. Geoinformation, February, 2024

Impacts of COVID-19 on urban networks: Evidence from a novel approach of flow measurement based on nighttime light data.
Comput. Environ. Urban Syst., January, 2024

2023
The Changes in Nighttime Lights Caused by the Turkey-Syria Earthquake Using NOAA-20 VIIRS Day/Night Band Data.
Remote. Sens., July, 2023

A building volume adjusted nighttime light index for characterizing the relationship between urban population and nighttime light intensity.
Comput. Environ. Urban Syst., 2023

2022
The potential of nighttime light remote sensing data to evaluate the development of digital economy: A case study of China at the city level.
Comput. Environ. Urban Syst., 2022

The Relationship Between Urban 2-D/3-D Landscape Pattern and Nighttime Light Intensity.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Quantitative Analysis of Urban Polycentric Interaction Using Nighttime Light Data: A Case Study of Shanghai, China.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

The Validity and Reliability of a New Intelligent Three-Dimensional Gait Analysis System in Healthy Subjects and Patients with Post-Stroke.
Sensors, 2022

2021
Monte Carlo Algorithm-Based Multimodal Magnetic Resonance Imaging Prognosis Prediction in Analysis of Rehabilitation Effect of Exercise Learning on Stroke Patients and Influencing Factors of Memory Function.
Sci. Program., 2021

2020
Automated Extraction of Street Lights From JL1-3B Nighttime Light Data and Assessment of Their Solar Energy Potential.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Analyzing parcel-level relationships between Luojia 1-01 nighttime light intensity and artificial surface features across Shanghai, China: A comparison with NPP-VIIRS data.
Int. J. Appl. Earth Obs. Geoinformation, 2020

2019
Delineating Seasonal Relationships Between Suomi NPP-VIIRS Nighttime Light and Human Activity Across Shanghai, China.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Estimation of Poverty Using Random Forest Regression with Multi-Source Data: A Case Study in Bangladesh.
Remote. Sens., 2019


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