Junxiu Liu
Impact in
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- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
Papers in
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- Chaos-based Image/Signal Encryption 36
- Advanced Steganography and Watermarking Techniques 20
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- Neuroscience and Neural Engineering 30
Junxiu Liu
176 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 165
- Computer Vision and Pattern Recognition 1.5k
- Cognitive Neuroscience 532
- Statistical and Nonlinear Physics 262
- Artificial Intelligence 639
- Neurology 156
Countries citing papers authored by Junxiu Liu
This map shows the geographic impact of Junxiu 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 Junxiu Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junxiu Liu more than expected).
Fields of papers citing papers by Junxiu Liu
This network shows the impact of papers produced by Junxiu 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 Junxiu Liu. The network helps show where Junxiu Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Junxiu Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 7 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 5 | |
| 6 | 2025 | 0 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 14 | |
| 11 | 2023 | 19 | |
| 12 | 2022 | 25 | |
| 13 | 2021 | 94 | |
| 14 | 2021 | 5 | |
| 15 | 2021 | 7 | |
| 16 | 2021 | 24 | |
| 17 | 2020 | 6 | |
| 18 | 2019 | 8 | |
| 19 | High-Pressure Phase Transitions in Densely Packed Nanocrystallites of TiO₂-II | 2019 | 1 |
| 20 | 2017 | 103 |
About Junxiu Liu
Junxiu Liu is a scholar working on Computer Vision and Pattern Recognition, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Sensory Systems and Artificial Intelligence, having authored 189 papers that have together received 3.7k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (43 papers), Chaos-based Image/Signal Encryption (36 papers), Neuroscience and Neural Engineering (30 papers), Neural dynamics and brain function (25 papers), Advanced Steganography and Watermarking Techniques (20 papers), Cryptographic Implementations and Security (13 papers), Cellular Automata and Applications (10 papers) and Chaos control and synchronization (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Cognitive Neuroscience (532 citations), Statistical and Nonlinear Physics (262 citations), Artificial Intelligence (639 citations) and Neurology (156 citations). Junxiu Liu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yuling Luo, Lvchen Cao, Jim Harkin, Yi Cao, Senhui Qiu, Su Yang, Liam McDaid, Xuemei Ding, Liam Maguire and Minghui Du. Their work appears in journals such as IEEE Access, Expert Systems with Applications, Neurocomputing, International Journal of Bifurcation and Chaos and Information 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.