Fang Han

83 total papers · 1.5k total citations
46 papers, 428 citations indexed

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 46 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cognitive Neuroscience, 17 papers in Cellular and Molecular Neuroscience and 16 papers in Statistical and Nonlinear Physics. Recurrent topics in Fang Han's work include Neural dynamics and brain function (30 papers), stochastic dynamics and bifurcation (16 papers) and Nonlinear Dynamics and Pattern Formation (10 papers). Fang Han is often cited by papers focused on Neural dynamics and brain function (30 papers), stochastic dynamics and bifurcation (16 papers) and Nonlinear Dynamics and Pattern Formation (10 papers). Fang Han collaborates with scholars based in China, United Kingdom and United States. Fang Han's co-authors include Zhijie Wang, Ying Yu, Qingyun Wang, Marian Wiercigroch, Qingyun Wang, Qishao Lu, Jian‐an Fang, Xiaojuan Sun, Yubo Fan and Hong Fan and has published in prestigious journals such as European Journal of Neuroscience, Neurocomputing and Neural Networks.

In The Last Decade

Fang Han

42 papers receiving 412 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fang Han 267 205 125 119 75 46 428
Diogo C. Soriano 176 0.7× 117 0.6× 97 0.8× 81 0.7× 63 0.8× 48 449
Peter F. Rowat 330 1.2× 251 1.2× 94 0.8× 130 1.1× 40 0.5× 16 447
Denggui Fan 358 1.3× 183 0.9× 233 1.9× 125 1.1× 56 0.7× 37 468
Romain Veltz 259 1.0× 185 0.9× 84 0.7× 145 1.2× 49 0.7× 27 367
Woochang Lim 295 1.1× 335 1.6× 132 1.1× 205 1.7× 74 1.0× 54 466
Takaaki Aoki 150 0.6× 147 0.7× 37 0.3× 173 1.5× 37 0.5× 43 406
Cheng Ly 297 1.1× 193 0.9× 145 1.2× 98 0.8× 68 0.9× 33 399
Stefano Cardanobile 278 1.0× 128 0.6× 195 1.6× 43 0.4× 92 1.2× 20 490
Yixin Guo 123 0.5× 82 0.4× 119 1.0× 92 0.8× 73 1.0× 33 427
Yasuhiro Tsubo 364 1.4× 203 1.0× 176 1.4× 130 1.1× 74 1.0× 19 474

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).

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.

Co-authorship network of co-authors of Fang Han

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Han. A scholar is included among the top collaborators of Fang Han based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fang Han. Fang Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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