Xin Fu

527 citations
38 papers · 424 · h-index 10

Impact in

    • Polymer Nanocomposites and Properties
    • Conducting polymers and applications
    • Natural Fiber Reinforced Composites
    • Electrochemical Analysis and Applications

Papers in

    • Boron and Carbon Nanomaterials Research 6
    • Microstructure and mechanical properties 3
    • MXene and MAX Phase Materials 3
    • Polymer Nanocomposites and Properties 5

Xin Fu

37 papers receiving 417 citations

Peers

Xin Fu
Comparison fields: 5 of 74
  • Polymers and Plastics 129
  • Electrochemistry 47
  • Biomaterials 87
  • Structural Biology 6
  • Materials Chemistry 144
Replace Ru Yan with:
Ru Yan China
Yuchao Dun China
Asta Grigucevičienė Lithuania
Muddasir Nawaz Qatar
Viviane Dalmoro Brazil
Saša Skale Slovenia
Fabiola Brusciotti Spain
Carla Veríssimo Brazil
Weiting Zhan China
И. М. Жарский Belarus
Xin Fu relative to Ru Yan China Ru Yan's profile →
Citations per field
00.5×3.1×
Ru Yan · 1×
Citations per year

Countries citing papers authored by Xin Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xin Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xin 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 Xin Fu Line = papers co-authored together Xin 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 201985
2 200985
3 201134
4 201229
5 202120
6 200919
7 201317
8 200815
9 201311
10 201410
11 20139
12 20108
13 20078
14 20108
15 20228
16 20117
17 20097
18 20175
19 20244
20 20234

About Xin Fu

Xin Fu is a scholar working on Materials Chemistry, Polymers and Plastics, Civil and Structural Engineering, Biomaterials and Biomedical Engineering, having authored 38 papers that have together received 424 indexed citations. Recurring topics across this work include Boron and Carbon Nanomaterials Research (6 papers), Polymer Nanocomposites and Properties (5 papers), Magnetic properties of thin films (4 papers), Advanced Electron Microscopy Techniques and Applications (3 papers), biodegradable polymer synthesis and properties (3 papers), Microstructure and mechanical properties (3 papers), Lignin and Wood Chemistry (3 papers) and MXene and MAX Phase Materials (3 papers). The work is most often cited by research in Polymers and Plastics (129 citations), Electrochemistry (47 citations), Biomaterials (87 citations), Structural Biology (6 citations) and Materials Chemistry (144 citations). Xin Fu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jun Yuan, Sidong Li, Mike Jenkins, Hua Lin, Hanshan Dong, I. Bertóti, Zhifen Wang, Xiaodong She, Zheng Peng and Kexi Zhang. Their work appears in journals such as Crystal Growth & Design, Journal of Applied Polymer Science, Scientific Reports, Applied Surface Science and International Journal of Biological Macromolecules.

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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