Yunwen Liu

20 papers and 83 indexed citations i.

About

Yunwen Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Hardware and Architecture. According to data from OpenAlex, Yunwen Liu has authored 20 papers receiving a total of 83 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 4 papers in Hardware and Architecture. Recurrent topics in Yunwen Liu’s work include Cryptographic Implementations and Security (15 papers), Chaos-based Image/Signal Encryption (11 papers) and Coding theory and cryptography (11 papers). Yunwen Liu is often cited by papers focused on Cryptographic Implementations and Security (15 papers), Chaos-based Image/Signal Encryption (11 papers) and Coding theory and cryptography (11 papers). Yunwen Liu collaborates with scholars based in China, Belgium and The Netherlands. Yunwen Liu's co-authors include Tomer Ashur, Vincent Rijmen, Qingju Wang, Gregor Leander, Liang Zhao, Wei Cheng, Ziniu Xiao, Chao Li, Xinyong Shen and Chaoyun Li and has published in prestigious journals such as Lecture notes in computer science, The Computer Journal and Advances in Atmospheric Sciences.

In The Last Decade

Co-authorship network of co-authors of Yunwen Liu i

Fields of papers citing papers by Yunwen Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yunwen Liu

Since Specialization
Citations

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

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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