Ting Yun
Nanjing Forestry University(CN)Wuhan Textile University(CN)
Publications by Year
Research Areas
Remote Sensing and LiDAR Applications, Remote Sensing in Agriculture, Forest ecology and management, Tree Root and Stability Studies, Medical Image Segmentation Techniques
Most-Cited Works
- → Individual Tree Crown Segmentation Directly from UAV-Borne LiDAR Data Using the PointNet of Deep Learning(2021)162 cited
- → Individual tree crown segmentation from airborne LiDAR data using a novel Gaussian filter and energy function minimization-based approach(2021)159 cited
- → Individual Tree Crown Segmentation and Crown Width Extraction From a Heightmap Derived From Aerial Laser Scanning Data Using a Deep Learning Framework(2022)83 cited
- → Individual Rubber Tree Segmentation Based on Ground-Based LiDAR Data and Faster R-CNN of Deep Learning(2019)78 cited
- → A Novel Approach for Retrieving Tree Leaf Area from Ground-Based LiDAR(2016)75 cited
- → Status, advancements and prospects of deep learning methods applied in forest studies(2024)69 cited
- → Simulation of multi-platform LiDAR for assessing total leaf area in tree crowns(2019)64 cited
- → A Flexible Architecture for Extracting Metro Tunnel Cross Sections from Terrestrial Laser Scanning Point Clouds(2019)47 cited
- → Shortwave Radiation Calculation for Forest Plots Using Airborne LiDAR Data and Computer Graphics(2022)42 cited
- → Establishment of Bovine Trophoblast Stem-Like Cells from In Vitro - Produced Blastocyst-Stage Embryos Using Two Inhibitors(2014)42 cited