Linyi Bian

1.7k citations
37 papers · 1.5k · h-index 19

Impact in

Papers in

Linyi Bian

36 papers receiving 1.5k citations

Peers

Linyi Bian
Comparison fields: 5 of 52
  • Polymers and Plastics 767
  • Electrical and Electronic Engineering 1.1k
  • Electronic, Optical and Magnetic Materials 281
  • Renewable Energy, Sustainability and the Environment 186
  • Cellular and Molecular Neuroscience 122
Replace Egon Pavlica with:
Egon Pavlica Slovenia
Sohyeon Seo South Korea
Erika Kozma Italy
Benlin Hu China
Haiquan Shan China
K. N. Narayanan Unni India
Guoxin Rong United States
Mamatimin Abbas France
Biswanath Mukherjee India
Jiahui Tan China
Linyi Bian relative to Egon Pavlica Slovenia Egon Pavlica's profile →
Citations per field
00.5×1.5×2.4×
Egon Pavlica · 1×
Citations per year

Countries citing papers authored by Linyi Bian

Since Specialization
Citations

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

Fields of papers citing papers by Linyi Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019249
2 2012249
3 2012176
4 2013161
5 2019111
6 202164
7 201860
8 201437
9 201933
10 201729
11 201927
12 201625
13 201424
14 201621
15 201321
16 201320
17 201320
18 201419
19 201519
20 201416

About Linyi Bian

Linyi Bian is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics, Materials Chemistry, Cellular and Molecular Neuroscience and Renewable Energy, Sustainability and the Environment, having authored 37 papers that have together received 1.5k indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (25 papers), Conducting polymers and applications (23 papers), Perovskite Materials and Applications (13 papers), Organic Light-Emitting Diodes Research (9 papers), Advanced Memory and Neural Computing (8 papers), Photoreceptor and optogenetics research (3 papers), Advanced Photocatalysis Techniques (2 papers) and Luminescence and Fluorescent Materials (2 papers). The work is most often cited by research in Polymers and Plastics (767 citations), Electrical and Electronic Engineering (1.1k citations), Electronic, Optical and Magnetic Materials (281 citations), Renewable Energy, Sustainability and the Environment (186 citations) and Cellular and Molecular Neuroscience (122 citations). Linyi Bian has collaborated with scholars based in China, Singapore and Saudi Arabia. Frequent co-authors include Weihua Tang, Enwei Zhu, Fujun Zhang, Jian Tang, Wei Huang, Huanhuan Wang, Jianxin Tang, Jiefeng Hai, Linghai Xie and Peipei Zhou. Their work appears in journals such as Journal of Materials Chemistry A, Chinese Journal of Chemistry, Macromolecular Chemistry and Physics, Advanced Science and Dyes and Pigments.

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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