Feixian Fu

516 total citations
2 papers, 8 citations indexed

About

Feixian Fu is a scholar working on Genetics, Neurology and Epidemiology. According to data from OpenAlex, Feixian Fu has authored 2 papers receiving a total of 8 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Genetics, 1 paper in Neurology and 1 paper in Epidemiology. Recurrent topics in Feixian Fu's work include Radiomics and Machine Learning in Medical Imaging (1 paper), Vascular Malformations Diagnosis and Treatment (1 paper) and Meningioma and schwannoma management (1 paper). Feixian Fu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (1 paper), Vascular Malformations Diagnosis and Treatment (1 paper) and Meningioma and schwannoma management (1 paper). Feixian Fu collaborates with scholars based in China. Feixian Fu's co-authors include Bing Wen and Dan Shen and has published in prestigious journals such as Clinical Neurology and Neurosurgery and Advances in Engineering Technology Research.

In The Last Decade

Feixian Fu

2 papers receiving 8 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Feixian Fu China	2	7	3	3	3	2	2	8
Thomas Foord United Kingdom	2	8 1.1×	4 1.3×	1 0.3×	3 1.0×	4 2.0×	4	13
Yerzhan Adilbekov Kazakhstan	2	5 0.7×	3 1.0×	3 1.0×		3 1.5×	4	10
Marie Docherty United Kingdom	2	4 0.6×	2 0.7×		4 1.3×	2 1.0×	2	23
Ahmad Mahmood China	2	12 1.7×	2 0.7×		2 0.7×	2 1.0×	5	18
Sophia Bustraan United Kingdom	2	4 0.6×	3 1.0×		2 0.7×		2	16
Sabine Kluge Germany	4	6 0.9×	2 0.7×	2 0.7×			6	18
Edgar Sioson United States	2	4 0.6×		2 0.7×	2 0.7×	2 1.0×	5	21
Robéria Mendonça de Pontes Brazil	3	8 1.1×	1 0.3×		2 0.7×	2 1.0×	6	11
Bethany Hanusch United States	2	6 0.9×		1 0.3×	2 0.7×	1 0.5×	3	9
Evelyn Mensah United Kingdom	4	7 1.0×	3 1.0×	10 3.3×			8	25

Countries citing papers authored by Feixian Fu

Since Specialization

Citations

This map shows the geographic impact of Feixian Fu'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 Feixian Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feixian Fu more than expected).

Fields of papers citing papers by Feixian Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feixian Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Feixian Fu. A scholar is included among the top collaborators of Feixian Fu 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 Feixian Fu. Feixian Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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2 of 2 papers shown

1.

Fu, Feixian, et al.. (2023). Progress in the Application of Energy-spectrum CT Imaging and Radiomics for the Diagnosis of Lung Cancer and Subtype Differentiation. Advances in Engineering Technology Research. 1(3). 596–596. 1 indexed citations

2.

Wen, Bing, et al.. (2018). Subventricular zone predicts high velocity of tumor expansion and poor clinical outcome in patients with low grade astrocytoma. Clinical Neurology and Neurosurgery. 168. 12–17. 7 indexed citations

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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