Chaoying Fu

1.4k citations
26 papers · 1.2k · h-index 15

Impact in

Papers in

Chaoying Fu

25 papers receiving 1.2k citations

Peers

Chaoying Fu
Comparison fields: 5 of 64
  • Polymers and Plastics 273
  • Biomedical Engineering 640
  • Materials Chemistry 554
  • Electrical and Electronic Engineering 548
  • Electronic, Optical and Magnetic Materials 176
Replace K.K. Nagaraja with:
K.K. Nagaraja India
Shasha Zhou China
Yingfeng Li China
E.F.M. El-Zaidia Egypt
Kunli Xiong Sweden
M. Donarelli Italy
Umesha Mogera India
Hae‐Wook Yoo South Korea
M. Dongol Egypt
Haoran Wang China
Chaoying Fu relative to K.K. Nagaraja India K.K. Nagaraja's profile →
Citations per field
00.5×1.5×
K.K. Nagaraja · 1×
Citations per year

Countries citing papers authored by Chaoying Fu

Since Specialization
Citations

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

Fields of papers citing papers by Chaoying Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020163
2 2020141
3 2009129
4 2013122
5 2012116
6 201498
7 201191
8 201349
9 201746
10 201645
11 201734
12 201225
13 201625
14 202116
15 201415
16 201412
17 201510
18 20209
19 20198
20 20188

About Chaoying Fu

Chaoying Fu is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Materials Chemistry, Atomic and Molecular Physics, and Optics and Electronic, Optical and Magnetic Materials, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Surface Chemistry and Catalysis (17 papers), Molecular Junctions and Nanostructures (13 papers), Graphene research and applications (6 papers), Surface and Thin Film Phenomena (4 papers), Nanowire Synthesis and Applications (3 papers), Thin-Film Transistor Technologies (3 papers), Organic Electronics and Photovoltaics (3 papers) and ZnO doping and properties (2 papers). The work is most often cited by research in Polymers and Plastics (273 citations), Biomedical Engineering (640 citations), Materials Chemistry (554 citations), Electrical and Electronic Engineering (548 citations) and Electronic, Optical and Magnetic Materials (176 citations). Chaoying Fu has collaborated with scholars based in Canada, China and France. Frequent co-authors include Dmitrii F. Perepichka, Federico Rosei, Jennifer MacLeod, Rico Gutzler, Oleksandr Ivasenko, Josh Lipton‐Duffin, Jaclyn L. Brusso, Martin Vondráček, Luis Cardenas and Hongliu Dai. Their work appears in journals such as ACS Nano, Nanoscale, Chemical Communications, Chemistry of Materials and Chemical Science.

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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