Kun Peng

440 citations
29 papers · 117 indexed · h-index 6
Topics
Cryptography and Data Security (27 papers)Internet Traffic Analysis and Secure E-voting (14 papers)Privacy-Preserving Technologies in Data (10 papers)
Partner nations
SingaporeChinaAustralia

In The Last Decade

Kun Peng

28 papers receiving 108 citations

Peers

Kun Peng
Comparison fields: 5 of 25
  • Artificial Intelligence 79
  • Computer Networks and Communications 39
  • Information Systems 36
  • Computer Vision and Pattern Recognition 26
  • Sociology and Political Science 12
Replace Mahesh Motwani with:
Mahesh Motwani India
Jaecheol Ha South Korea
M. Choudary Gorantla India
Kunihiko Miyazaki Japan
Pratyay Mukherjee United States
Takashi Nishide Japan
Khoa Nguyen Singapore
Katsuyuki Takashima Japan
Shuichi Katsumata Japan
Daniel Rausch Germany
Kun Peng relative to Mahesh Motwani India Mahesh Motwani's profile →
Citations per field
00.5×
Mahesh Motwani · 1×
Citations per year

Countries citing papers authored by Kun Peng

Since Specialization
Citations

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

Fields of papers citing papers by Kun Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Peng. A scholar is included among the top collaborators of Kun Peng 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 Kun Peng. Kun Peng 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 1
2 1
3 32
4 2
5 3
6 2
7 3
8 5
9
Efficiency Optimisation Of Tor Using Diffie-Hellman Chain
1
10 2
11 1
12 1
13 5
14 2
15 18
16 6
17 2
18 7
19 6
20
Correct, private, flexible and efficient range test
3

About Kun Peng

Kun Peng is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications, having authored 29 papers that have together received 117 indexed citations. Recurring topics across this work include Cryptography and Data Security (27 papers), Internet Traffic Analysis and Secure E-voting (14 papers) and Privacy-Preserving Technologies in Data (10 papers). The work is most often cited by research in Artificial Intelligence (79 citations), Computer Networks and Communications (39 citations) and Information Systems (36 citations). Kun Peng has collaborated with scholars based in Singapore, China and Australia. Frequent co-authors include Feng Bao, Ed Dawson, Feng Bao, Yongyong Zhang and Bing Han. Their work appears in journals such as Journal of Systems and Software, Journal of Parallel and Distributed Computing and Journal of Hydrology Regional Studies.

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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