Huawei Fan
Impact in
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- Model Reduction and Neural Networks
- Chaos control and synchronization
- stochastic dynamics and bifurcation
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- Nonlinear Dynamics and Pattern Formation
Papers in
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- Nonlinear Dynamics and Pattern Formation 22
- Neural Networks Stability and Synchronization 10
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- stochastic dynamics and bifurcation 7
- Chaos control and synchronization 6
- Co-authors
- Ying‐Cheng Lai (9 shared papers)Xingang Wang (22 shared papers)Ling-Wei Kong (4 shared papers)Celso Grebogi (2 shared papers)Chun Zhang (1 shared paper)Junjie Jiang (1 shared paper)Liang Wang (7 shared papers)Weijie Lin (2 shared papers)
- Journals
- Physical review. E (7 papers)Physical Review Research (6 papers)Chaos An Interdisciplinary Journal of Nonlinear Science (5 papers)Physical review. B. (2 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Huawei Fan
27 papers receiving 568 citations
Peers
Comparison fields: 5 of 60
- Statistical and Nonlinear Physics 254
- Computer Networks and Communications 225
- Artificial Intelligence 311
- Cognitive Neuroscience 159
- Global and Planetary Change 47
Countries citing papers authored by Huawei Fan
This map shows the geographic impact of Huawei Fan'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 Huawei Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huawei Fan more than expected).
Fields of papers citing papers by Huawei Fan
This network shows the impact of papers produced by Huawei Fan. 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 Huawei Fan. The network helps show where Huawei Fan may publish in the future.
Co-authors
The 25 scholars most cited alongside Huawei Fan, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 130 | |
| 2 | 2021 | 106 | |
| 3 | 2021 | 60 | |
| 4 | 2021 | 31 | |
| 5 | 2016 | 29 | |
| 6 | 2021 | 28 | |
| 7 | 2018 | 23 | |
| 8 | 2024 | 16 | |
| 9 | 2019 | 16 | |
| 10 | 2022 | 15 | |
| 11 | 2022 | 14 | |
| 12 | 2020 | 13 | |
| 13 | 2018 | 13 | |
| 14 | 2024 | 10 | |
| 15 | 2016 | 10 | |
| 16 | 2023 | 9 | |
| 17 | 2020 | 9 | |
| 18 | 2024 | 9 | |
| 19 | 2016 | 7 | |
| 20 | 2022 | 5 |
About Huawei Fan
Huawei Fan is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Artificial Intelligence, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 30 papers that have together received 574 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (22 papers), Neural Networks and Reservoir Computing (12 papers), Neural Networks Stability and Synchronization (10 papers), Neural dynamics and brain function (8 papers), stochastic dynamics and bifurcation (7 papers), Chaos control and synchronization (6 papers), Mechanical and Optical Resonators (4 papers) and Advanced Memory and Neural Computing (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (254 citations), Computer Networks and Communications (225 citations), Artificial Intelligence (311 citations), Cognitive Neuroscience (159 citations) and Global and Planetary Change (47 citations). Huawei Fan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ying‐Cheng Lai, Xingang Wang, Ling-Wei Kong, Celso Grebogi, Chun Zhang, Junjie Jiang, Liang Wang, Weijie Lin, Yafeng Wang and Jinghua Xiao. Their work appears in journals such as Physical review. E, Physical Review Research, Chaos An Interdisciplinary Journal of Nonlinear Science, Physical review. B. and Scientific Reports.
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.