Huawei Fan

About

Huawei Fan is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Huawei Fan has authored 28 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 17 papers in Statistical and Nonlinear Physics and 12 papers in Artificial Intelligence. Recurrent topics in Huawei Fan’s work include Nonlinear Dynamics and Pattern Formation (17 papers), Neural Networks and Reservoir Computing (12 papers) and Neural dynamics and brain function (9 papers). Huawei Fan is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (17 papers), Neural Networks and Reservoir Computing (12 papers) and Neural dynamics and brain function (9 papers). Huawei Fan collaborates with scholars based in China, United States and United Kingdom. Huawei Fan's co-authors include Ying‐Cheng Lai, Xingang Wang, Ling-Wei Kong, Celso Grebogi, Chun Zhang, Junjie Jiang, Liang Wang, Kai Ma, Jianhua Wang and Kang Li and has published in prestigious journals such as Physical Review Letters, Scientific Reports and Annals of Physics.

In The Last Decade

Co-authorship network of co-authors of Huawei Fan i

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Fields of papers citing papers by Huawei Fan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Huawei Fan

Since Specialization

Citations

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).

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.

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