Hua Mu

555 total citations
18 papers, 391 citations indexed

About

Hua Mu is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Networks and Communications. According to data from OpenAlex, Hua Mu has authored 18 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Cognitive Neuroscience and 5 papers in Computer Networks and Communications. Recurrent topics in Hua Mu's work include Neural dynamics and brain function (4 papers), Visual perception and processing mechanisms (4 papers) and Target Tracking and Data Fusion in Sensor Networks (4 papers). Hua Mu is often cited by papers focused on Neural dynamics and brain function (4 papers), Visual perception and processing mechanisms (4 papers) and Target Tracking and Data Fusion in Sensor Networks (4 papers). Hua Mu collaborates with scholars based in China, United Kingdom and Australia. Hua Mu's co-authors include Meixia Tao, Jianwei Huang, Hugh Durrant‐Whyte, Tim Bailey, Mitch Bryson, Paul M. Thompson, Yao Xiao, Qinbing Fu, Shigang Yue and Shengyong Chen and has published in prestigious journals such as European Journal of Neuroscience, IEEE Transactions on Wireless Communications and Neurocomputing.

In The Last Decade

Hua Mu

15 papers receiving 381 citations

Peers

Hua Mu
Comparison fields: 5 of 28
  • Electrical and Electronic Engineering 320
  • Computer Networks and Communications 268
  • Aerospace Engineering 74
  • Artificial Intelligence 55
  • Ocean Engineering 26
Replace Hao Deng with:
Hao Deng China
Anastasia Yastrebova Finland
Davinder S. Saini India
Chit-Kwan Lin United States
Jing Qiu China
Satyendra Singh Yadav India
Mike Koivisto Finland
Duc‐Dung Tran Vietnam
Z. Shelby Finland
Hao Deng China View profile →
Citations per field, relative to Hua Mu
Hua Mu · 1×
Citations per year, relative to Hua Mu
Hua Mu · 1×

Countries citing papers authored by Hua Mu

Since Specialization
Citations

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

Fields of papers citing papers by Hua Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Mu

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 1
5 2
6 1
7 10
8 1
9 4
10 4
11 2
12 1
13 36
14 58
15 244
16 1
17 6
18 20

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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