Chao Li

1.8k citations
148 papers · 931 indexed · h-index 17
Topics
Coding theory and cryptography (34 papers)Cryptographic Implementations and Security (27 papers)Chaos-based Image/Signal Encryption (22 papers)
Partner nations
ChinaAustraliaJapan

In The Last Decade

Chao Li

132 papers receiving 897 citations

Peers

Chao Li
Comparison fields: 5 of 107
  • Artificial Intelligence 302
  • Aerospace Engineering 196
  • Electrical and Electronic Engineering 194
  • Computational Mechanics 172
  • Computer Vision and Pattern Recognition 156
Replace Leonardo A. B. Tôrres with:
Leonardo A. B. Tôrres Brazil
George Turkiyyah United States
Dan Li China
Hao Shen Germany
Guangmin Hu China
Yang Xu China
Yuriy Zakharov United Kingdom
Ryan King United States
Ken Museth United States
Reiner S. Thomä Germany
Chao Li relative to Leonardo A. B. Tôrres Brazil Leonardo A. B. Tôrres's profile →
Citations per field
00.5×6.9×
Leonardo A. B. Tôrres · 1×
Citations per year

Countries citing papers authored by Chao Li

Since Specialization
Citations

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

Fields of papers citing papers by Chao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Li

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Li. A scholar is included among the top collaborators of Chao Li 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 Chao Li. Chao Li 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 0
4 1
5 3
6 7
7 12
8 7
9 1
10 0
11 6
12 2
13 1
14 5
15 20
16 1
17 5
18 4
19
On the Absolute Values Distribution of the Walsh Spectrums of Boolean Functions and Their Properties
0
20
Construction of A Class of Linear Codes with Good Parameters
2

About Chao Li

Chao Li is a scholar working on Computational Mechanics, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 148 papers that have together received 931 indexed citations. Recurring topics across this work include Coding theory and cryptography (34 papers), Cryptographic Implementations and Security (27 papers) and Chaos-based Image/Signal Encryption (22 papers). The work is most often cited by research in Computational Mathematics (38 citations), Research and Theory (10 citations) and Artificial Intelligence (302 citations). Chao Li has collaborated with scholars based in China, Australia and Japan. Frequent co-authors include Longjiang Qu, Bing Sun, Liyang Xu, Xiaoting Rui, Xinhai Xu, Kangquan Li, Qibin Zhao, Shaojing Fu, Feizhou Huo and Ruilin Li. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and IEEE Transactions on Information Theory.

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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