Shaomin Mu

538 citations
31 papers · 356 indexed · h-index 10
Topics
Smart Agriculture and AI (10 papers)Face and Expression Recognition (6 papers)Spectroscopy and Chemometric Analyses (3 papers)
Partner nations
ChinaPakistanCzechia

In The Last Decade

Shaomin Mu

31 papers receiving 341 citations

Peers

Shaomin Mu
Comparison fields: 5 of 79
  • Plant Science 168
  • Analytical Chemistry 106
  • Artificial Intelligence 76
  • Computer Vision and Pattern Recognition 57
  • Signal Processing 31
Replace Xiaoyi Wang with:
Xiaoyi Wang China
Teek Parval Sharma India
Ashish Mishra India
Ruber Hernández-García Chile
Poonam Dhiman India
Asif Iqbal Khan India
Deepak Banerjee India
Ludovic Journaux France
Muhammad Azam Canada
Ricardo J. Barrientos Chile
Shaomin Mu relative to Xiaoyi Wang China Xiaoyi Wang's profile →
Citations per field
00.5×2.9×
Xiaoyi Wang · 1×
Citations per year

Countries citing papers authored by Shaomin Mu

Since Specialization
Citations

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

Fields of papers citing papers by Shaomin Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaomin Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Shaomin Mu. A scholar is included among the top collaborators of Shaomin Mu 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 Shaomin Mu. Shaomin Mu 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 11
2 1
3 6
4 5
5 3
6 3
7 4
8 13
9 87
10 11
11 14
12 4
13 36
14 4
15 4
16
A New Improved Fast Parallelthinning Algorithm
8
17 3
18 25
19
On the community structure of major insect pests and natural enemies in summer corn field inlaid in cotton area.
3
20
Studies on biology of Adonia Variegata Goeze
2

About Shaomin Mu

Shaomin Mu is a scholar working on Computer Vision and Pattern Recognition, Business and International Management and Artificial Intelligence, having authored 31 papers that have together received 356 indexed citations. Recurring topics across this work include Smart Agriculture and AI (10 papers), Face and Expression Recognition (6 papers) and Spectroscopy and Chemometric Analyses (3 papers). The work is most often cited by research in Analytical Chemistry (106 citations), Plant Science (168 citations) and Signal Processing (31 citations). Shaomin Mu has collaborated with scholars based in China, Pakistan and Czechia. Frequent co-authors include Shengfeng Tian, Zhi‐Hao Cao, Feng Huang, Wanlin Gao, Jingdun Jia, Minjuan Wang, Tingting Su, Hongchun Qu, Xiaoxiao Sun and Chao Pang. Their work appears in journals such as IEEE Access, Neurocomputing and Pattern Recognition Letters.

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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