Nankun Mu

699 total citations
36 papers, 497 citations indexed

About

Nankun Mu is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Nankun Mu has authored 36 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 11 papers in Information Systems and 9 papers in Computer Networks and Communications. Recurrent topics in Nankun Mu's work include Privacy-Preserving Technologies in Data (12 papers), Distributed Control Multi-Agent Systems (6 papers) and Cryptography and Data Security (6 papers). Nankun Mu is often cited by papers focused on Privacy-Preserving Technologies in Data (12 papers), Distributed Control Multi-Agent Systems (6 papers) and Cryptography and Data Security (6 papers). Nankun Mu collaborates with scholars based in China, Qatar and United States. Nankun Mu's co-authors include Xiaofeng Liao, Tingwen Huang, Junqing Le, Xiaofeng Liao, Xinyu Lei, Di Zhang, Shaoxin Li, Yonghui Wu, Hengrun Zhang and Kai Zeng and has published in prestigious journals such as IEEE Transactions on Vehicular Technology, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Cybernetics.

In The Last Decade

Nankun Mu

32 papers receiving 489 citations

Peers

Nankun Mu
Comparison fields: 5 of 47
  • Computer Networks and Communications 275
  • Artificial Intelligence 157
  • Control and Systems Engineering 153
  • Information Systems 88
  • Electrical and Electronic Engineering 79
Esha Sarkar United States
M. Merabti United Kingdom
Sugata Sanyal India
Kai Zhou United States
Aldar C.-F. Chan Singapore
Eleni Stai Greece
Zhuoqun Xia China
Mohamed Abid Tunisia
Yosef Ashibani Canada
Esha Sarkar United States View profile →
Citations per field, relative to Nankun Mu
Nankun Mu · 1×
Citations per year, relative to Nankun Mu
Nankun Mu · 1×

Countries citing papers authored by Nankun Mu

Since Specialization
Citations

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

Fields of papers citing papers by Nankun Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nankun Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Nankun Mu. A scholar is included among the top collaborators of Nankun 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 Nankun Mu. Nankun 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 1
3 2
4 0
5 2
6 2
7 2
8 7
9 16
10 11
11 1
12 15
13 5
14 15
15 1
16 27
17 1
18 34
19 1
20 11

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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