Meiyan Shu

1.1k citations
35 papers · 794 indexed · h-index 16
Topics
Remote Sensing in Agriculture (30 papers)Smart Agriculture and AI (13 papers)Remote Sensing and LiDAR Applications (12 papers)
Journals
SHILAP Revista de lepidopterologíaFrontiers in Plant ScienceInternational Journal of Remote Sensing

In The Last Decade

Meiyan Shu

31 papers receiving 782 citations

Peers

Meiyan Shu
Comparison fields: 5 of 67
  • Ecology 584
  • Plant Science 468
  • Environmental Engineering 293
  • Analytical Chemistry 146
  • Atmospheric Science 108
Replace Xiaohe Gu with:
Xiaohe Gu China
Liang Han China
Riqiang Chen China
Xiaolei Qiu China
Heli Li China
Wanxue Zhu China
Xiaoqing Zhao China
Philippe Vigneault Canada
Bastian Siegmann Germany
Yonggui Xiao China
Meiyan Shu relative to Xiaohe Gu China Xiaohe Gu's profile →
Citations per field
00.5×1.5×
Xiaohe Gu · 1×
Citations per year

Countries citing papers authored by Meiyan Shu

Since Specialization
Citations

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

Fields of papers citing papers by Meiyan Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meiyan Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Meiyan Shu. A scholar is included among the top collaborators of Meiyan Shu 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 Meiyan Shu. Meiyan Shu 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
#WorkIndexed citations
1 1
2 0
3 0
4 0
5 1
6 11
7 14
8 49
9 36
10 58
11 9
12 39
13 2
14 59
15 0
16 27
17 16
18 47
19
High spectral inversion of winter wheat LAI based on new vegetation index.
3
20
Effects of milk-origin bioactive peptides on growth performance and serum biochemical paramters of tilapia (Oreochromis aureus × O. niloticus).
1

About Meiyan Shu

Meiyan Shu is a scholar working on Ecology, Environmental Engineering and Analytical Chemistry, having authored 35 papers that have together received 794 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (30 papers), Smart Agriculture and AI (13 papers) and Remote Sensing and LiDAR Applications (12 papers). The work is most often cited by research in Ecology (584 citations), Environmental Engineering (293 citations) and Analytical Chemistry (146 citations). Meiyan Shu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yuntao Ma, Baoguo Li, Xiaohe Gu, Qian Sun, Guijun Yang, Shuaipeng Fei, Xiaohong Yang, Shu Cheng, Yonggui Xiao and Muhammad Adeel Hassan. Their work appears in journals such as SHILAP Revista de lepidopterología, Frontiers in Plant Science and International Journal of Remote Sensing.

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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