Yuling Luo
Impact in
-
- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
-
- Chaos control and synchronization
Papers in
-
- Chaos-based Image/Signal Encryption 42
- Advanced Steganography and Watermarking Techniques 22
-
- Cryptographic Implementations and Security 15
- Co-authors
- Junxiu Liu (73 shared papers)Lvchen Cao (21 shared papers)Yi Cao (17 shared papers)Senhui Qiu (19 shared papers)Su Yang (16 shared papers)Minghui Du (3 shared papers)Jim Harkin (11 shared papers)Xuemei Ding (5 shared papers)
- Journals
- Neurocomputing (6 papers)International Journal of Bifurcation and Chaos (6 papers)IEEE Access (5 papers)Expert Systems with Applications (4 papers)Information Sciences (3 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Yuling Luo
95 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 100
- Computer Vision and Pattern Recognition 1.3k
- Statistical and Nonlinear Physics 251
- Cognitive Neuroscience 334
- Computational Theory and Mathematics 285
- Artificial Intelligence 554
Countries citing papers authored by Yuling Luo
This map shows the geographic impact of Yuling Luo'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 Yuling Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuling Luo more than expected).
Fields of papers citing papers by Yuling Luo
This network shows the impact of papers produced by Yuling Luo. 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 Yuling Luo. The network helps show where Yuling Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuling Luo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 174 | |
| 2 | 2014 | 131 | |
| 3 | 2019 | 130 | |
| 4 | 2019 | 127 | |
| 5 | 2020 | 123 | |
| 6 | 2019 | 122 | |
| 7 | 2018 | 104 | |
| 8 | 2021 | 101 | |
| 9 | 2019 | 96 | |
| 10 | 2017 | 81 | |
| 11 | 2015 | 71 | |
| 12 | 2018 | 66 | |
| 13 | 2020 | 52 | |
| 14 | 2019 | 51 | |
| 15 | 2020 | 40 | |
| 16 | 2020 | 39 | |
| 17 | 2022 | 31 | |
| 18 | 2022 | 30 | |
| 19 | 2011 | 29 | |
| 20 | 2018 | 29 |
About Yuling Luo
Yuling Luo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Computational Theory and Mathematics, having authored 106 papers that have together received 2.2k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (42 papers), Advanced Memory and Neural Computing (22 papers), Advanced Steganography and Watermarking Techniques (22 papers), Cryptographic Implementations and Security (15 papers), Cellular Automata and Applications (14 papers), Neuroscience and Neural Engineering (12 papers), Chaos control and synchronization (10 papers) and Neural dynamics and brain function (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Statistical and Nonlinear Physics (251 citations), Cognitive Neuroscience (334 citations), Computational Theory and Mathematics (285 citations) and Artificial Intelligence (554 citations). Yuling Luo has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Junxiu Liu, Lvchen Cao, Yi Cao, Senhui Qiu, Su Yang, Minghui Du, Jim Harkin, Xuemei Ding, Yifei Bi and Duqu Wei. Their work appears in journals such as Neurocomputing, International Journal of Bifurcation and Chaos, IEEE Access, Expert Systems with Applications 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.