Anke Zhao
Impact in
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- Chaos control and synchronization
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- Nonlinear Dynamics and Pattern Formation
Papers in
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- Chaos control and synchronization 23
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- Nonlinear Dynamics and Pattern Formation 21
- Co-authors
- Ning Jiang (36 shared papers)Kun Qiu (25 shared papers)Shiqin Liu (28 shared papers)Chenpeng Xue (9 shared papers)Yiqun Zhang (19 shared papers)Jianming Tang (4 shared papers)Yajun Wang (2 shared papers)Bin Yu (1 shared paper)
- Journals
- Optics Express (11 papers)Journal of Lightwave Technology (4 papers)Optics Letters (3 papers)International Journal of Bifurcation and Chaos (1 paper)Opto-Electronic Advances (1 paper)
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Anke Zhao
35 papers receiving 724 citations
Peers
Comparison fields: 5 of 35
- Statistical and Nonlinear Physics 408
- Computer Networks and Communications 341
- Artificial Intelligence 365
- Electrical and Electronic Engineering 467
- Acoustics and Ultrasonics 7
Countries citing papers authored by Anke Zhao
This map shows the geographic impact of Anke Zhao'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 Anke Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anke Zhao more than expected).
Fields of papers citing papers by Anke Zhao
This network shows the impact of papers produced by Anke Zhao. 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 Anke Zhao. The network helps show where Anke Zhao may publish in the future.
Co-authors
The 25 scholars most cited alongside Anke Zhao, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 151 | |
| 2 | 2021 | 90 | |
| 3 | 2020 | 64 | |
| 4 | 2019 | 51 | |
| 5 | 2022 | 50 | |
| 6 | 2018 | 47 | |
| 7 | 2019 | 46 | |
| 8 | 2018 | 42 | |
| 9 | 2020 | 31 | |
| 10 | 2022 | 30 | |
| 11 | 2020 | 30 | |
| 12 | 2020 | 28 | |
| 13 | 2017 | 23 | |
| 14 | 2019 | 22 | |
| 15 | 2021 | 21 | |
| 16 | 2022 | 20 | |
| 17 | 2020 | 17 | |
| 18 | 2019 | 15 | |
| 19 | 2021 | 12 | |
| 20 | 2022 | 11 |
About Anke Zhao
Anke Zhao is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 38 papers that have together received 835 indexed citations. Recurring topics across this work include Chaos control and synchronization (23 papers), Nonlinear Dynamics and Pattern Formation (21 papers), Chaos-based Image/Signal Encryption (14 papers), Optical Network Technologies (11 papers), Neural Networks and Reservoir Computing (10 papers), Advanced Fiber Laser Technologies (5 papers), Semiconductor Lasers and Optical Devices (3 papers) and graph theory and CDMA systems (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (408 citations), Computer Networks and Communications (341 citations), Artificial Intelligence (365 citations), Electrical and Electronic Engineering (467 citations) and Acoustics and Ultrasonics (7 citations). Anke Zhao has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Ning Jiang, Kun Qiu, Shiqin Liu, Chenpeng Xue, Yiqun Zhang, Jianming Tang, Yajun Wang, Bin Yu, Lu Chen and Boyang Wang. Their work appears in journals such as Optics Express, Journal of Lightwave Technology, Optics Letters, International Journal of Bifurcation and Chaos and Opto-Electronic Advances.
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.