Chaoxu Mu

7.9k total citations · 2 hit papers
236 papers, 6.0k citations indexed

About

Chaoxu Mu is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Chaoxu Mu has authored 236 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Control and Systems Engineering, 91 papers in Electrical and Electronic Engineering and 80 papers in Computational Theory and Mathematics. Recurrent topics in Chaoxu Mu's work include Adaptive Dynamic Programming Control (78 papers), Adaptive Control of Nonlinear Systems (64 papers) and Reinforcement Learning in Robotics (35 papers). Chaoxu Mu is often cited by papers focused on Adaptive Dynamic Programming Control (78 papers), Adaptive Control of Nonlinear Systems (64 papers) and Reinforcement Learning in Robotics (35 papers). Chaoxu Mu collaborates with scholars based in China, United States and Australia. Chaoxu Mu's co-authors include Changyin Sun, Ding Wang, Haibo He, Ke Wang, Derong Liu, Zhen Ni, Wei Xu, Wei Xu, Yajie Jiang and Zhongke Gao and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Scientific Reports.

In The Last Decade

Chaoxu Mu

203 papers receiving 5.9k citations

Hit Papers

EEG-Based Spatio–Temporal Convolutional Neural Network fo... 2019 2026 2021 2023 2019 2020 100 200 300

Peers

Chaoxu Mu
Comparison fields: 5 of 125
  • Control and Systems Engineering 3.4k
  • Electrical and Electronic Engineering 2.2k
  • Computational Theory and Mathematics 2.1k
  • Artificial Intelligence 1.2k
  • Computer Networks and Communications 739
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Mohammad Bagher Naghibi Sistani Iran
Xiong Yang China
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Mohammad Bagher Naghibi Sistani Iran View profile →
Citations per field, relative to Chaoxu Mu
Chaoxu Mu · 1×
Citations per year, relative to Chaoxu Mu
Chaoxu Mu · 1×

Countries citing papers authored by Chaoxu Mu

Since Specialization
Citations

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

Fields of papers citing papers by Chaoxu Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoxu Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Chaoxu Mu. A scholar is included among the top collaborators of Chaoxu 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 Chaoxu Mu. Chaoxu 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 0
2 0
3 1
4 0
5 2
6 0
7 0
8 4
9 3
10 0
11 1
12 2
13 12
14 36
15 23
16 2
17 34
18 11
19 54
20 49

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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