Jun Fu

624 citations
32 papers · 491 · h-index 12

Impact in

Papers in

    • Characterization and Applications of Magnetic Nanoparticles 12
    • Acoustic Wave Phenomena Research 4
    • Optical Polarization and Ellipsometry 3
    • Magnetic Properties and Synthesis of Ferrites 6

Jun Fu

32 papers receiving 480 citations

Peers

Jun Fu
Comparison fields: 5 of 70
  • Fluid Flow and Transfer Processes 148
  • Automotive Engineering 106
  • Acoustics and Ultrasonics 7
  • Biomedical Engineering 285
  • Renewable Energy, Sustainability and the Environment 62
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Jun Mo China
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Citations per field
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Citations per year

Countries citing papers authored by Jun Fu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun 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 Jun Fu Line = papers co-authored together Jun Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016139
2 202134
3 201133
4 201928
5 202024
6 201122
7 201719
8 201016
9 201315
10 201214
11 201913
12 201212
13 201611
14 202411
15 201811
16 201511
17 202110
18 20129
19 20118
20 20128

About Jun Fu

Jun Fu is a scholar working on Biomedical Engineering, Materials Chemistry, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Molecular Biology, having authored 32 papers that have together received 491 indexed citations. Recurring topics across this work include Characterization and Applications of Magnetic Nanoparticles (12 papers), Iron oxide chemistry and applications (6 papers), Magnetic Properties and Synthesis of Ferrites (6 papers), Geomagnetism and Paleomagnetism Studies (5 papers), Vehicle Noise and Vibration Control (5 papers), Acoustic Wave Phenomena Research (4 papers), Magneto-Optical Properties and Applications (3 papers) and Optical Polarization and Ellipsometry (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (148 citations), Automotive Engineering (106 citations), Acoustics and Ultrasonics (7 citations), Biomedical Engineering (285 citations) and Renewable Energy, Sustainability and the Environment (62 citations). Jun Fu has collaborated with scholars based in China, Sweden and Hong Kong. Frequent co-authors include Wenhua Yuan, Bin Zhang, Jinke Gong, Yuanwang Deng, Yu Li, Yueqiang Lin, Hua Miao, Qingmei Zhang, Lihua Lin and Wanting Sun. Their work appears in journals such as Optics Communications, Journal of low frequency noise, vibration and active control, Materials Chemistry and Physics, Applied Acoustics and Applied Thermal Engineering.

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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