Mingchao Shao

608 citations
13 papers · 450 indexed · 1 hit paper · h-index 10
Topics
Remote Sensing in Agriculture (11 papers)Smart Agriculture and AI (6 papers)Leaf Properties and Growth Measurement (5 papers)
Partner nations
ChinaFijiIndonesia

In The Last Decade

Mingchao Shao

12 papers receiving 443 citations

Hit Papers

Estimation of soil moisture content under high maize cano...202220262023202420224080120

Peers

Mingchao Shao
Comparison fields: 5 of 47
  • Ecology 279
  • Plant Science 250
  • Environmental Engineering 179
  • Global and Planetary Change 91
  • Analytical Chemistry 58
Replace Xun Yu with:
Xun Yu China
Matteo G. Ziliani Saudi Arabia
Yi Bai China
Huiren Tian China
Joel Segarra Spain
Yantong Wu China
Ma. Luisa Buchaillot Spain
Danielle Elis Garcia Furuya Brazil
Samuel Ihuoma Canada
Mingchao Shao relative to Xun Yu China Xun Yu's profile →
Citations per field
00.5×1.5×
Xun Yu · 1×
Citations per year

Countries citing papers authored by Mingchao Shao

Since Specialization
Citations

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

Fields of papers citing papers by Mingchao Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingchao Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Mingchao Shao. A scholar is included among the top collaborators of Mingchao Shao 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 Mingchao Shao. Mingchao Shao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 6
2 0
3 16
4 11
5 32
6 19
7
Estimation of soil moisture content under high maize canopy coverage from UAV multimodal data and machine learningbreakdown →
129
8 31
9 53
10 20
11 17
12 112
13 4

About Mingchao Shao

Mingchao Shao is a scholar working on Ecology, Environmental Engineering and Plant Science, having authored 13 papers that have together received 450 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (11 papers), Smart Agriculture and AI (6 papers) and Leaf Properties and Growth Measurement (5 papers). The work is most often cited by research in Environmental Engineering (179 citations), Ecology (279 citations) and Plant Science (250 citations). Mingchao Shao has collaborated with scholars based in China, Fiji and Indonesia. Frequent co-authors include Xun Yu, Minghan Cheng, Chenwei Nie, Yi Bai, Shuaibing Liu, Zixu Wang, Siyu Wang, Xiuliang Jin, Xiyun Jiao and Yadong Liu. Their work appears in journals such as PLANT PHYSIOLOGY, Frontiers in Plant Science and Computers and Electronics in Agriculture.

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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