Meicheng Liu

825 citations
20 papers · 138 indexed · h-index 7
Topics
Coding theory and cryptography (13 papers)Cryptographic Implementations and Security (12 papers)Chaos-based Image/Signal Encryption (5 papers)
Partner nations
ChinaSingapore

In The Last Decade

Meicheng Liu

18 papers receiving 134 citations

Peers

Meicheng Liu
Comparison fields: 5 of 35
  • Artificial Intelligence 101
  • Computer Vision and Pattern Recognition 41
  • Electrical and Electronic Engineering 37
  • Computational Theory and Mathematics 15
  • Biomedical Engineering 15
Replace Sondre Rønjom with:
Sondre Rønjom Norway
Donald Donglong Chen Hong Kong
Jorge Nakahara Belgium
Yonglin Hao China
Yan Zong Ding United States
Takashi Nishide Japan
Christine van Vredendaal Netherlands
Jianmin Guo China
Nishant Kumar India
Satoshi Obana Japan
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Citations per field
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Citations per year

Countries citing papers authored by Meicheng Liu

Since Specialization
Citations

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

Fields of papers citing papers by Meicheng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meicheng Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Meicheng Liu. A scholar is included among the top collaborators of Meicheng Liu 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 Meicheng Liu. Meicheng Liu 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 0
2 0
3 2
4 2
5 2
6 15
7 19
8 19
9 3
10 4
11
Provable Security Evaluation of Structures against Impossible Differential and Zero Correlation Linear Cryptanalysis
5
12 7
13 2
14 3
15 7
16 3
17 1
18 35
19 7
20 2

About Meicheng Liu

Meicheng Liu is a scholar working on Artificial Intelligence, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 138 indexed citations. Recurring topics across this work include Coding theory and cryptography (13 papers), Cryptographic Implementations and Security (12 papers) and Chaos-based Image/Signal Encryption (5 papers). The work is most often cited by research in Artificial Intelligence (101 citations), Computer Vision and Pattern Recognition (41 citations) and Hardware and Architecture (11 citations). Meicheng Liu has collaborated with scholars based in China and Singapore. Frequent co-authors include Dongdai Lin, Dingyi Pei, Bohan Li, Jian Guo, Ling Song, Kexin Qiao, Zhihua Chen, Xiang Zhou, Yao Mu and Guohe Wang. Their work appears in journals such as IEEE Transactions on Information Theory, Information Sciences and Materials.

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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