Fangyi Chen

107 papers receiving 2.1k citations

Peers

Fangyi Chen
Comparison fields: 5 of 128
  • Sensory Systems 573
  • Health Informatics 42
  • Biomaterials 162
  • Neurology 80
  • Physical and Theoretical Chemistry 84
Replace Ilya N Belevich with:
Ilya N Belevich Finland
Yun Luo United States
Kate Poole Australia
Tetsuya Kitaguchi Japan
Xinmeng Li China
Niels Fertig Germany
Francesco Lodola Italy
Athena Guo United States
Francesco Tombola United States
Christoph Romanin Austria
Fangyi Chen relative to Ilya N Belevich Finland Ilya N Belevich's profile →
Citations per field
00.5×5×10×14.7×
Ilya N Belevich · 1×
Citations per year

Countries citing papers authored by Fangyi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Fangyi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011140
2 201078
3 201775
4 201969
5 201968
6 202265
7 201863
8 201959
9 201749
10 200645
11 201744
12 201843
13 201842
14 201241
15 201639
16 201739
17 201738
18 202038
19 201735
20 201433

About Fangyi Chen

Fangyi Chen is a scholar working on Sensory Systems, Physical and Theoretical Chemistry, Neurology, Biotechnology and Biomaterials, having authored 115 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (29 papers), Optical Coherence Tomography Applications (9 papers), Photochemistry and Electron Transfer Studies (8 papers), Vestibular and auditory disorders (7 papers), DNA Repair Mechanisms (6 papers), Polysaccharides and Plant Cell Walls (6 papers), Luminescence and Fluorescent Materials (5 papers) and Enzyme Production and Characterization (5 papers). The work is most often cited by research in Sensory Systems (573 citations), Health Informatics (42 citations), Biomaterials (162 citations), Neurology (80 citations) and Physical and Theoretical Chemistry (84 citations). Fangyi Chen has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Alfred L. Nuttall, Niloy Choudhury, Steve L. Jacques, Ruikang K. Wang, Haitao Wang, Min Li, Ke Bian, Deyu Li, Qi Tang and Binglian Bai. Their work appears in journals such as Chemical Research in Toxicology, Journal of Agricultural and Food Chemistry, Frontiers in Molecular Neuroscience, International Journal of Biological Macromolecules and Journal of Materials Chemistry C.

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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