Fang Han

41 papers and 361 indexed citations i.

About

Fang Han is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Fang Han has authored 41 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cognitive Neuroscience, 17 papers in Cellular and Molecular Neuroscience and 15 papers in Statistical and Nonlinear Physics. Recurrent topics in Fang Han’s work include Neural dynamics and brain function (29 papers), stochastic dynamics and bifurcation (15 papers) and Nonlinear Dynamics and Pattern Formation (9 papers). Fang Han is often cited by papers focused on Neural dynamics and brain function (29 papers), stochastic dynamics and bifurcation (15 papers) and Nonlinear Dynamics and Pattern Formation (9 papers). Fang Han collaborates with scholars based in China, United Kingdom and United States. Fang Han's co-authors include Zhijie Wang, Ying Yu, Marian Wiercigroch, Qingyun Wang, Qishao Lu, Qingyun Wang, Jian‐an Fang, Hong Fan, Xiaojuan Sun and Ying Du and has published in prestigious journals such as European Journal of Neuroscience, Neurocomputing and Neural Networks.

In The Last Decade

Co-authorship network of co-authors of Fang Han i

Fields of papers citing papers by Fang Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fang Han. 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 Fang Han. The network helps show where Fang Han may publish in the future.

Countries citing papers authored by Fang Han

Since Specialization
Citations

This map shows the geographic impact of Fang Han'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 Fang Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Han 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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2025