Qiuli Yang

17 papers receiving 552 citations

Hit Papers

Neural network guided interpolation for mapping canopy height of China's forests by integrating GEDI and ICESat-2 data 2021 · 158 citations
1580+1+3Years since publication50100150

Peers

Qiuli Yang
Comparison fields: 5 of 79
  • Environmental Engineering 379
  • Nature and Landscape Conservation 182
  • Ecology 302
  • Geology 52
  • Ecological Modeling 34
Replace Sheng Nie with:
Sheng Nie China
Samuli Junttila Finland
Niall Origo United Kingdom
Paweł Hawryło Poland
Yifang Shi Netherlands
Dimitry Van der Zande Belgium
Jasmine Muir Australia
Tomáš Bucha Slovakia
Yuri Shendryk Australia
Doo-Ahn Kwak South Korea
Qiuli Yang relative to Sheng Nie China Sheng Nie's profile →
Citations per field
00.5×1.6×
Sheng Nie · 1×
Citations per year

Countries citing papers authored by Qiuli Yang

Since Specialization
Citations

This map shows the geographic impact of Qiuli Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Qiuli Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiuli Yang more than expected).

Fields of papers citing papers by Qiuli Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qiuli Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Qiuli Yang. The network helps show where Qiuli Yang may publish in the future.

Co-authors

The 25 scholars most cited alongside Qiuli Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Qiuli Yang Line = papers co-authored together Qiuli Yang links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Neural network guided interpolation for mapping canopy height of China's forests by integrating GEDI and ICESat-2 data
Hit paper breakdown →
2021158
2 202058
3 202354
4 202053
5 201951
6 201949
7 202140
8 202237
9 202419
10 20189
11 20248
12 20208
13 20227
14 20216
15 20235
16 20244
17 20241

About Qiuli Yang

Qiuli Yang is a scholar working on Ecology, Environmental Engineering, Nature and Landscape Conservation, Global and Planetary Change and Atmospheric Science, having authored 17 papers that have together received 567 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (11 papers), Remote Sensing and LiDAR Applications (9 papers), Forest ecology and management (5 papers), Land Use and Ecosystem Services (3 papers), Remote Sensing and Land Use (3 papers), Horticultural and Viticultural Research (2 papers), Aquatic Ecosystems and Phytoplankton Dynamics (1 paper) and Kruppel-like factors research (1 paper). The work is most often cited by research in Environmental Engineering (379 citations), Nature and Landscape Conservation (182 citations), Ecology (302 citations), Geology (52 citations) and Ecological Modeling (34 citations). Qiuli Yang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Qinghua Guo, Yanjun Su, Tianyu Hu, Xiaoqiang Liu, Hao Tang, Shichao Jin, Qin Ma, Bingbing Liu, Jingyun Fang and Zhiyao Tang. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Ecological Indicators, Frontiers in Neuroscience, Remote Sensing of Environment and Ecological Informatics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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