Can Fu

1.3k citations
50 papers · 1.0k · h-index 19

Impact in

Papers in

Can Fu

45 papers receiving 1.0k citations

Peers

Can Fu
Comparison fields: 5 of 59
  • Polymers and Plastics 221
  • Renewable Energy, Sustainability and the Environment 212
  • Materials Chemistry 578
  • Electronic, Optical and Magnetic Materials 205
  • Electrical and Electronic Engineering 499
Replace Sabir Hussain with:
Sabir Hussain China
Thanh Truong Dang South Korea
Eunyong Seo South Korea
Chunyan Ji China
Ling Liu China
Sehwan Song South Korea
Junwei Yang China
Byung Joon Moon South Korea
Can Fu relative to Sabir Hussain China Sabir Hussain's profile →
Citations per field
00.5×2.8×
Sabir Hussain · 1×
Citations per year

Countries citing papers authored by Can Fu

Since Specialization
Citations

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

Fields of papers citing papers by Can Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201894
2 201882
3 201376
4 202069
5 201969
6 202363
7 202253
8 202148
9 202237
10 202326
11 202125
12 202225
13 202124
14 202124
15 201821
16 202120
17 202319
18 201718
19 201918
20 202318

About Can Fu

Can Fu is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Biomedical Engineering, Electronic, Optical and Magnetic Materials and Polymers and Plastics, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include Perovskite Materials and Applications (11 papers), Gas Sensing Nanomaterials and Sensors (11 papers), Ga2O3 and related materials (8 papers), Advanced Photocatalysis Techniques (7 papers), Nanowire Synthesis and Applications (7 papers), 2D Materials and Applications (7 papers), Advanced Memory and Neural Computing (6 papers) and Quantum Dots Synthesis And Properties (5 papers). The work is most often cited by research in Polymers and Plastics (221 citations), Renewable Energy, Sustainability and the Environment (212 citations), Materials Chemistry (578 citations), Electronic, Optical and Magnetic Materials (205 citations) and Electrical and Electronic Engineering (499 citations). Can Fu has collaborated with scholars based in China, Spain and Norway. Frequent co-authors include Lin‐Bao Luo, Feng‐Xia Liang, De‐Yi Wang, Di Wu, Hongkuan Yuan, Hong Chen, Jiang Wang, Huogen Yu, Xuefei Wang and Xiaowei Tong. Their work appears in journals such as IEEE Transactions on Electron Devices, Nanotechnology, Journal of Materials Chemistry C, Applied Surface Science and ACS Applied Materials & Interfaces.

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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