Xiaokai Mu

457 total citations
39 papers, 308 citations indexed

About

Xiaokai Mu is a scholar working on Ocean Engineering, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Xiaokai Mu has authored 39 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Ocean Engineering, 16 papers in Artificial Intelligence and 16 papers in Aerospace Engineering. Recurrent topics in Xiaokai Mu's work include Underwater Vehicles and Communication Systems (28 papers), Target Tracking and Data Fusion in Sensor Networks (15 papers) and Maritime Navigation and Safety (8 papers). Xiaokai Mu is often cited by papers focused on Underwater Vehicles and Communication Systems (28 papers), Target Tracking and Data Fusion in Sensor Networks (15 papers) and Maritime Navigation and Safety (8 papers). Xiaokai Mu collaborates with scholars based in China. Xiaokai Mu's co-authors include Bo He, Xin Zhang, Tianhong Yan, Yan Song, Yue Shen, Chen Feng, Hongde Qin, Hanmin Liu, Guangliang Li and Junhe Wan and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

Xiaokai Mu

33 papers receiving 302 citations

Peers

Xiaokai Mu
Comparison fields: 5 of 43
  • Ocean Engineering 199
  • Aerospace Engineering 137
  • Artificial Intelligence 110
  • Oceanography 64
  • Computer Vision and Pattern Recognition 55
Replace Matteo Franchi with:
Matteo Franchi Italy
Szymon Krupiński France
Zhongben Zhu China
Sebastián A. Villar Argentina
Kihun Kim South Korea
Luiz R. Douat France
Nils Bore Sweden
Artur Wolek United States
Luís Sebastião Portugal
Tomasz Praczyk Poland
Matteo Franchi Italy View profile →
Citations per field, relative to Xiaokai Mu
Xiaokai Mu · 1×
Citations per year, relative to Xiaokai Mu
Xiaokai Mu · 1×

Countries citing papers authored by Xiaokai Mu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaokai Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaokai Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaokai Mu. A scholar is included among the top collaborators of Xiaokai 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 Xiaokai Mu. Xiaokai 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
# Work Indexed citations
1 1
2 3
3 3
4 1
5 0
6 10
7 6
8 3
9 5
10 0
11 0
12 3
13 28
14 7
15 12
16 1
17 39
18 10
19 8
20 4

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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