Yingwei Sun

Orcid: 0000-0002-3051-3259

According to our database1, Yingwei Sun authored at least 23 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Novel algorithm for knee localization and diagnosis and grading of knee osteoarthritis based on a priori information: data from OAI.
BMC Medical Imaging, December, 2026

Ensemble modelling based on transfer learning for enhancing crop mapping through synergistic integration of InSAR coherence and multispectral satellite data.
Comput. Electron. Agric., 2026

2023
Development and evaluation of nomograms for predicting osteoarthritis progression based on MRI cartilage parameters: data from the FNIH OA biomarkers Consortium.
BMC Medical Imaging, December, 2023

GMetaNet: Multi-scale ghost convolutional neural network with auxiliary MetaFormer decoding path for brain tumor segmentation.
Biomed. Signal Process. Control., May, 2023

DPAFNet: A Residual Dual-Path Attention-Fusion Convolutional Neural Network for Multimodal Brain Tumor Segmentation.
Biomed. Signal Process. Control., 2023

2022
Mapping of lakes in the Qinghai-Tibet Plateau from 2016 to 2021: trend and potential regularity.
Int. J. Digit. Earth, December, 2022

Spatio-Temporal Distribution Characteristics of Global Annual Maximum Land Surface Temperature Derived from MODIS Thermal Infrared Data From 2003 to 2019.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Mapping crop leaf area index at the parcel level via inverting a radiative transfer model under spatiotemporal constraints: A case study on sugarcane.
Comput. Electron. Agric., 2022

2021
Geoparcel-Based Spatial Prediction Method for Grassland Fractional Vegetation Cover Mapping.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Geo-Object-Based Vegetation Mapping via Machine Learning Methods with an Intelligent Sample Collection Scheme: A Case Study of Taibai Mountain, China.
Remote. Sens., 2021

2020
Disaggregating County-Level Census Data for Population Mapping Using Residential Geo-Objects With Multisource Geo-Spatial Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Farmland Parcel Mapping in Mountain Areas Using Time-Series SAR Data and VHR Optical Images.
Remote. Sens., 2020

2019
Geo-Object-Based Soil Organic Matter Mapping Using Machine Learning Algorithms With Multi-Source Geo-Spatial Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Synchronous Response Analysis of Features for Remote Sensing Crop Classification Based on Optical and SAR Time-Series Data.
Sensors, 2019

Weighted Double-Logistic Function Fitting Method for Reconstructing the High-Quality Sentinel-2 NDVI Time Series Data Set.
Remote. Sens., 2019

DE-Net: Deep Encoding Network for Building Extraction from High-Resolution Remote Sensing Imagery.
Remote. Sens., 2019

Geo-parcel-based geographical thematic mapping using C5.0 decision tree: a case study of evaluating sugarcane planting suitability.
Earth Sci. Informatics, 2019

Improved sugarcane LAI estimation using radiative transfer models with spatial constraint.
Proceedings of the 8th International Conference on Agro-Geoinformatics, 2019

Geo-parcel based Crops Classification with Sentinel-1 Time Series Data via Recurrent Reural Network.
Proceedings of the 8th International Conference on Agro-Geoinformatics, 2019

Contour-oriented Cropland Extraction from High Resolution Remote Sensing Imagery Using Richer Convolution Features Network.
Proceedings of the 8th International Conference on Agro-Geoinformatics, 2019

Fine mapping of key soil nutrient content using high resolution remote sensing image to support precision agriculture in Northwest China.
Proceedings of the 8th International Conference on Agro-Geoinformatics, 2019

2018
Deep Extraction of Cropland Parcels from Very High-Resolution Remotely Sensed Imagery.
Proceedings of the 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics), 2018

Digital Mapping of Soil Available Phosphorus Supported by AI Technology for Precision Agriculture.
Proceedings of the 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics), 2018


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