Yunwen Liu
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Hardware and Architecture
- Signal Processing
- Atmospheric Science
- Topics
- Cryptographic Implementations and Security (16 papers)Chaos-based Image/Signal Encryption (12 papers)Coding theory and cryptography (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaLecture notes in computer scienceAdvances in Atmospheric Sciences
- Partner nations
- ChinaBelgiumNetherlands
In The Last Decade
Yunwen Liu
19 papers receiving 97 citations
Peers
Comparison fields: 5 of 28
- Artificial Intelligence 80
- Computer Vision and Pattern Recognition 59
- Hardware and Architecture 19
- Signal Processing 13
- Atmospheric Science 8
Countries citing papers authored by Yunwen Liu
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).
Fields of papers citing papers by Yunwen Liu
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.
Co-authorship network of co-authors of Yunwen Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Yunwen Liu. A scholar is included among the top collaborators of Yunwen 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 Yunwen Liu. Yunwen Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 3 | |
| 13 | 9 | |
| 14 | 1 | |
| 15 | 12 | |
| 16 | An automated tool for rotational-XOR cryptanalysis of ARX-based primitives | 3 |
| 17 | Automatic Search of Linear Trails in ARX with applications to SPECK and Chaskey | 1 |
| 18 | 15 | |
| 19 | 3 | |
| 20 | Optimized Interpolation Attacks on LowMC | 6 |
About Yunwen Liu
Yunwen Liu is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 21 papers that have together received 99 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (16 papers), Chaos-based Image/Signal Encryption (12 papers) and Coding theory and cryptography (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (59 citations), Hardware and Architecture (19 citations) and Artificial Intelligence (80 citations). Yunwen Liu has collaborated with scholars based in China, Belgium and Netherlands. Frequent co-authors include Tomer Ashur, Vincent Rijmen, Gregor Leander, Bing Sun, Qingju Wang, Itai Dinur, Chao Li, Willi Meier, Chang Sun and Liang Zhao. Their work appears in journals such as SHILAP Revista de lepidopterología, Lecture notes in computer science and Advances in Atmospheric Sciences.
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.