Fei Bian

1.0k citations
43 papers · 760 · h-index 14

Impact in

Papers in

Fei Bian

42 papers receiving 739 citations

Peers

Fei Bian
Comparison fields: 5 of 115
  • Biotechnology 92
  • Biochemistry 43
  • Biomedical Engineering 248
  • Atomic and Molecular Physics, and Optics 171
  • Materials Chemistry 220
Replace Stefano Donini with:
Stefano Donini Italy
Gregory Bokinsky United States
Ki‐Sung Lee South Korea
ChangWoo Lee South Korea
Susanne Witt Germany
Joseph P. Torella United States
Marta Pilarczyk Poland
Corey J. Wilson United States
Shuang Wang China
Hsin‐Liang Chen Taiwan
Fei Bian relative to Stefano Donini Italy Stefano Donini's profile →
Citations per field
00.5×7.2×
Stefano Donini · 1×
Citations per year

Countries citing papers authored by Fei Bian

Since Specialization
Citations

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

Fields of papers citing papers by Fei Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011249
2 200959
3 201047
4 201442
5 200939
6 200828
7 202024
8 200921
9 202217
10 201217
11 202316
12 202116
13 201716
14 201714
15 201813
16 202312
17 202011
18 201510
19 201710
20 202110

About Fei Bian

Fei Bian is a scholar working on Molecular Biology, Biomedical Engineering, Electrical and Electronic Engineering, Materials Chemistry and Biotechnology, having authored 43 papers that have together received 760 indexed citations. Recurring topics across this work include Nonlinear Optical Materials Studies (4 papers), Lipid metabolism and biosynthesis (4 papers), Protein Hydrolysis and Bioactive Peptides (4 papers), Enzyme Production and Characterization (4 papers), Nanowire Synthesis and Applications (4 papers), Thin-Film Transistor Technologies (4 papers), Algal biology and biofuel production (4 papers) and Photonic Crystals and Applications (3 papers). The work is most often cited by research in Biotechnology (92 citations), Biochemistry (43 citations), Biomedical Engineering (248 citations), Atomic and Molecular Physics, and Optics (171 citations) and Materials Chemistry (220 citations). Fei Bian has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Jimin Zhao, Wenlong Wang, Xuedong Bai, Enge Wang, Xinghua Lu, Yingli Zhang, Rui Wu, Shichao Yan, Bin-Bin Xie and Xiu‐Lan Chen. Their work appears in journals such as Chinese Physics Letters, Journal of Bacteriology, Optics Communications, Journal of Zhejiang University SCIENCE B and Frontiers in Plant 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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