Xiaolin Ye
Impact in
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- Chaos control and synchronization
- stochastic dynamics and bifurcation
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- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
Papers in
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- Advanced battery technologies research 7
- Advanced Memory and Neural Computing 7
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- Chaos control and synchronization 12
- stochastic dynamics and bifurcation 6
- Co-authors
- Xingyuan Wang (9 shared papers)Jun Mou (5 shared papers)Xingyuan Wang (2 shared papers)Suo Gao (4 shared papers)Zhisen Wang (2 shared papers)Xuelong Zhou (5 shared papers)Quan‐Hong Yang (4 shared papers)Feifei Yang (2 shared papers)
In The Last Decade
Xiaolin Ye
38 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 62
- Statistical and Nonlinear Physics 386
- Computer Vision and Pattern Recognition 327
- Automotive Engineering 110
- Electrical and Electronic Engineering 493
- Computer Networks and Communications 173
Countries citing papers authored by Xiaolin Ye
This map shows the geographic impact of Xiaolin Ye'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 Xiaolin Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolin Ye more than expected).
Fields of papers citing papers by Xiaolin Ye
This network shows the impact of papers produced by Xiaolin Ye. 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 Xiaolin Ye. The network helps show where Xiaolin Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolin Ye, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 126 | |
| 2 | 2023 | 122 | |
| 3 | 2022 | 115 | |
| 4 | 2019 | 107 | |
| 5 | 2018 | 63 | |
| 6 | 2023 | 60 | |
| 7 | 2021 | 59 | |
| 8 | 2019 | 50 | |
| 9 | 2019 | 42 | |
| 10 | 2021 | 35 | |
| 11 | 2021 | 34 | |
| 12 | 2024 | 34 | |
| 13 | 2020 | 28 | |
| 14 | 2023 | 27 | |
| 15 | 2023 | 27 | |
| 16 | 2019 | 25 | |
| 17 | 2020 | 22 | |
| 18 | 2018 | 17 | |
| 19 | 2021 | 13 | |
| 20 | 2020 | 12 |
About Xiaolin Ye
Xiaolin Ye is a scholar working on Electrical and Electronic Engineering, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition, Computer Networks and Communications and Automotive Engineering, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (14 papers), Chaos control and synchronization (12 papers), Advanced Steganography and Watermarking Techniques (7 papers), Advanced battery technologies research (7 papers), Advanced Memory and Neural Computing (7 papers), Cellular Automata and Applications (6 papers), stochastic dynamics and bifurcation (6 papers) and Advanced Battery Technologies Research (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (386 citations), Computer Vision and Pattern Recognition (327 citations), Automotive Engineering (110 citations), Electrical and Electronic Engineering (493 citations) and Computer Networks and Communications (173 citations). Xiaolin Ye has collaborated with scholars based in China, Singapore and France. Frequent co-authors include Xingyuan Wang, Jun Mou, Xingyuan Wang, Suo Gao, Zhisen Wang, Xuelong Zhou, Quan‐Hong Yang, Feifei Yang, Changjun Cui and Yong Guo. Their work appears in journals such as Nonlinear Dynamics, IEEE Access, ACS Applied Materials & Interfaces, Optics and Lasers in Engineering and International Journal of Bifurcation and Chaos.
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.