Caixia Fu

2.8k total citations
136 papers, 2.1k citations indexed

About

Caixia Fu is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Caixia Fu has authored 136 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Radiology, Nuclear Medicine and Imaging, 23 papers in Epidemiology and 18 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Caixia Fu's work include MRI in cancer diagnosis (72 papers), Radiomics and Machine Learning in Medical Imaging (52 papers) and Advanced MRI Techniques and Applications (38 papers). Caixia Fu is often cited by papers focused on MRI in cancer diagnosis (72 papers), Radiomics and Machine Learning in Medical Imaging (52 papers) and Advanced MRI Techniques and Applications (38 papers). Caixia Fu collaborates with scholars based in China, Germany and United States. Caixia Fu's co-authors include Mengsu Zeng, Xu Yan, Robert Grimm, Shengxiang Rao, Caizhong Chen, Kun Sun, Yuqin Ding, Jianjun Zhou, Weimin Chai and Li Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Radiology.

In The Last Decade

Caixia Fu

125 papers receiving 2.1k citations

Peers

Caixia Fu
Comparison fields: 5 of 106
  • Radiology, Nuclear Medicine and Imaging 1.6k
  • Pulmonary and Respiratory Medicine 385
  • Hepatology 310
  • Epidemiology 257
  • Oncology 220
Replace Christina Schraml with:
Christina Schraml Germany
Puneet Sharma United States
Yoon Jin Lee South Korea
Nam Kyung Lee South Korea
Shozo Tamura Japan
Marco Gatti Italy
T. Gade United States
Hao Yu China
Yoshifumi Noda Japan
Jingbo Zhang China
Christina Schraml Germany View profile →
Citations per field, relative to Caixia Fu
Caixia Fu · 1×
Citations per year, relative to Caixia Fu
Caixia Fu · 1×

Countries citing papers authored by Caixia Fu

Since Specialization
Citations

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

Fields of papers citing papers by Caixia Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caixia Fu

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 2
4 1
5 3
6 6
7 4
8 0
9 2
10 2
11 4
12 16
13 16
14 19
15 4
16 10
17 20
18 14
19 66
20 1

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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