Shuaipeng Fei

1.3k citations
31 papers · 892 indexed · 1 hit paper · h-index 17
Topics
Remote Sensing in Agriculture (25 papers)Smart Agriculture and AI (14 papers)Leaf Properties and Growth Measurement (13 papers)
Partner nations
ChinaMexicoPakistan

In The Last Decade

Shuaipeng Fei

31 papers receiving 866 citations

Hit Papers

UAV-based multi-sensor data fusion and machine learning a...2022202620232024202250100150

Peers

Shuaipeng Fei
Comparison fields: 5 of 74
  • Plant Science 567
  • Ecology 538
  • Environmental Engineering 246
  • Analytical Chemistry 173
  • Atmospheric Science 82
Replace Meiyan Shu with:
Meiyan Shu China
Jun Ni China
Changwei Tan China
Jiwan Han China
Riqiang Chen China
Xinming Ma China
Yaxiao Niu China
Ahmed Kayad Italy
Yuchi Ma United States
Chengming Sun China
Shuaipeng Fei relative to Meiyan Shu China Meiyan Shu's profile →
Citations per field
00.5×4.3×
Meiyan Shu · 1×
Citations per year

Countries citing papers authored by Shuaipeng Fei

Since Specialization
Citations

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

Fields of papers citing papers by Shuaipeng Fei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuaipeng Fei

This figure shows the co-authorship network connecting the top 25 collaborators of Shuaipeng Fei. A scholar is included among the top collaborators of Shuaipeng Fei 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 Shuaipeng Fei. Shuaipeng Fei 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 4
2 10
3 1
4 12
5 19
6 3
7 9
8 32
9 15
10 16
11 40
12 29
13 45
14 14
15 58
16 4
17 15
18
UAV-based multi-sensor data fusion and machine learning algorithm for yield prediction in wheatbreakdown →
191
19 26
20 27

About Shuaipeng Fei

Shuaipeng Fei is a scholar working on Ecology, Analytical Chemistry and Environmental Engineering, having authored 31 papers that have together received 892 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (25 papers), Smart Agriculture and AI (14 papers) and Leaf Properties and Growth Measurement (13 papers). The work is most often cited by research in Ecology (538 citations), Analytical Chemistry (173 citations) and Environmental Engineering (246 citations). Shuaipeng Fei has collaborated with scholars based in China, Mexico and Pakistan. Frequent co-authors include Yuntao Ma, Yonggui Xiao, Zhe Chen, Qian Cheng, Muhammad Adeel Hassan, Zhen Chen, Changchun Li, Meiyan Shu, Zongpeng Li and Xin Su. Their work appears in journals such as Energy, Sensors and Frontiers in Plant Science.

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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