Lin Fu

797 citations
38 papers · 612 · h-index 14

Impact in

    • Medical Imaging Techniques and Applications
    • Advanced MRI Techniques and Applications
    • Radiation Dose and Imaging
    • Radiomics and Machine Learning in Medical Imaging
  • Radiation top 5%
    • Radiation Detection and Scintillator Technologies

Papers in

Lin Fu

37 papers receiving 593 citations

Peers

Lin Fu
Comparison fields: 5 of 60
  • Radiology, Nuclear Medicine and Imaging 388
  • Radiation 96
  • Biomedical Engineering 184
  • Mechanical Engineering 116
  • Materials Chemistry 129
Replace D. Babot with:
D. Babot France
D.J. Schneberk United States
Philippe Duvauchelle France
K. Aditya Mohan United States
Paul Evans United Kingdom
Yizheng Zhu United States
Pablo Villanueva‐Perez Sweden
Joachim Tabary France
Takao Akatsuka Japan
Lin Fu relative to D. Babot France D. Babot's profile →
Citations per field
00.5×2×3×4×5×
D. Babot · 1×
Citations per year

Countries citing papers authored by Lin Fu

Since Specialization
Citations

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

Fields of papers citing papers by Lin Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lin Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lin Fu Line = papers co-authored together Lin Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200998
2 200874
3 200659
4 200945
5 200643
6 201643
7 201830
8 201722
9 201621
10 201019
11 201917
12 201516
13 201015
14 200614
15 200712
16 200610
17 20227
18 20127
19 20086
20 20075

About Lin Fu

Lin Fu is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Mechanical Engineering, Materials Chemistry and Radiation, having authored 38 papers that have together received 612 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (25 papers), Advanced X-ray and CT Imaging (20 papers), Radiation Dose and Imaging (10 papers), Advanced MRI Techniques and Applications (8 papers), Microstructure and mechanical properties (4 papers), Optical measurement and interference techniques (3 papers), Advanced Image Fusion Techniques (2 papers) and Advanced Radiotherapy Techniques (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (388 citations), Radiation (96 citations), Biomedical Engineering (184 citations), Mechanical Engineering (116 citations) and Materials Chemistry (129 citations). Lin Fu has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Jinyi Qi, Bruno De Man, Guobao Wang, Nigel D. Browning, Hahn Choo, G. J. Fan, Peter K. Liaw, Ramsey D. Badawi, Kai Yang and Yibao Wu. Their work appears in journals such as Physics in Medicine and Biology, IEEE Transactions on Medical Imaging, Journal of Nuclear Medicine, Applied Physics Letters and Journal of Alloys and Compounds.

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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