Xun Yu

802 total citations · 1 hit paper
34 papers, 583 citations indexed

About

Xun Yu is a scholar working on Ecology, Plant Science and Environmental Engineering. According to data from OpenAlex, Xun Yu has authored 34 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecology, 15 papers in Plant Science and 8 papers in Environmental Engineering. Recurrent topics in Xun Yu's work include Remote Sensing in Agriculture (15 papers), Smart Agriculture and AI (10 papers) and Remote Sensing and LiDAR Applications (6 papers). Xun Yu is often cited by papers focused on Remote Sensing in Agriculture (15 papers), Smart Agriculture and AI (10 papers) and Remote Sensing and LiDAR Applications (6 papers). Xun Yu collaborates with scholars based in China, Australia and United States. Xun Yu's co-authors include Minghan Cheng, Mingchao Shao, Chenwei Nie, Yi Bai, Shuaibing Liu, Xiuliang Jin, Zixu Wang, Siyu Wang, Xiyun Jiao and Dameng Yin and has published in prestigious journals such as PLANT PHYSIOLOGY, Environmental Pollution and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Xun Yu

33 papers receiving 569 citations

Hit Papers

Estimation of soil moisture content under high maize cano... 2022 2026 2023 2024 2022 40 80 120

Peers

Xun Yu
Comparison fields: 5 of 60
  • Ecology 314
  • Plant Science 290
  • Environmental Engineering 202
  • Global and Planetary Change 105
  • Analytical Chemistry 78
Replace Jiale Jiang with:
Jiale Jiang China
Jingfeng Huang China
Danielle Elis Garcia Furuya Brazil
Ma. Luisa Buchaillot Spain
Yaxiao Niu China
Wen Zhuo China
Claire Marais Sicre France
Xudong Zhou China
Yi Bai China
Jiale Jiang China View profile →
Citations per field, relative to Xun Yu
Xun Yu · 1×
Citations per year, relative to Xun Yu
Xun Yu · 1×

Countries citing papers authored by Xun Yu

Since Specialization
Citations

This map shows the geographic impact of Xun Yu'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 Xun Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xun Yu more than expected).

Fields of papers citing papers by Xun Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xun Yu. 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 Xun Yu. The network helps show where Xun Yu may publish in the future.

Co-authorship network of co-authors of Xun Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Xun Yu. A scholar is included among the top collaborators of Xun Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xun Yu. Xun Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 7
4 3
5 15
6 2
7 1
8 5
9 16
10 4
11 11
12 9
13 10
14 32
15
Estimation of soil moisture content under high maize canopy coverage from UAV multimodal data and machine learning breakdown →
129
16 15
17 53
18 2
19 5
20 2

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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