Xinlian Liang

Nature and Landscape Conservation · 2012–2020

A researcher in the Science corpus: 7 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Nature and Landscape Conservation — 41 citations into it
• Global and Planetary Change — 13 citations into it
• Mechanical Engineering — 12 citations into it

Whom Xinlian Liang trusts overall

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

1. J. Repola
2. Hans-Gerd Maas
3. J. Kalliovirta
4. Kevin Tansey
5. Nobuo Yamashita
6. A. Bienert
7. Juha Hyyppä
8. Xiaowei Yu
9. Jan Hackenberg
10. Nick Selmes

Who trusts Xinlian Liang overall

1. Jan Hackenberg
2. Xiaowei Yu
3. Midhun Mohan
4. Heinrich Spiecker
5. Juha Hyyppä
6. Pasi Raumonen
7. Ronald Kemker
8. Markus Holopainen

Papers from Xinlian Liang's perspective

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

1. Automatic forest inventory parameter determination from terrestrial laser scanner data
2. The structural and radiative consistency of three-dimensional tree reconstructions from terrestrial lidar
3. A progressive morphological filter for removing nonground measurements from airborne LIDAR data (IEEE Transactions on Geoscience and Remote Sensing)
4. An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning (Remote Sensing)
5. Voxel-Based 3-D Modeling of Individual Trees for Estimating Leaf Area Density Using High-Resolution Portable Scanning Lidar (IEEE Transactions on Geoscience and Remote Sensing)
6. Automatic Stem Mapping Using Single-Scan Terrestrial Laser Scanning (IEEE Transactions on Geoscience and Remote Sensing)
7. Volume estimates of trees with complex architecture from terrestrial laser scanning
8. DEM Generation from Laser Scanner Data Using Adaptive TIN Models
9. A segmentation-based method to retrieve stem volume estimates from 3-D tree height models produced by laser scanners (IEEE Transactions on Geoscience and Remote Sensing)
10. Three-dimensional reconstruction of stems for assessment of taper, sweep and lean based on laser scanning of standing trees

Their papers

• Accurate derivation of stem curve and volume using backpack mobile laser scanning (2020) — 149 citations
• In situ biomass estimation at tree and plot levels: What did data record and what did algorithms derive from terrestrial and aerial point clouds in boreal forest (2019) — 99 citations
• International benchmarking of terrestrial laser scanning approaches for forest inventories (2018) — 425 citations
• ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2016) — 495 citations
• Deriving Merchantable Volume in Poplar through a Localized Tapering Function from Non-Destructive Terrestrial Laser Scanning (2016) — 47 citations
• Stem biomass estimation based on stem reconstruction from terrestrial laser scanning point clouds (2013) — 86 citations
• Automatic Stem Mapping Using Single-Scan Terrestrial Laser Scanning (2012) — 305 citations