Yangshuang Bian

447 citations
21 papers · 326 indexed · h-index 12

Yangshuang Bian

19 papers receiving 321 citations

Peers

Yangshuang Bian
Comparison fields: 5 of 38
  • Polymers and Plastics 137
  • Electrical and Electronic Engineering 205
  • Biomedical Engineering 157
  • Cellular and Molecular Neuroscience 32
  • Materials Chemistry 75
Replace Mohammad Taha with:
Mohammad Taha Australia
Mingcong Qin China
Taehoon Sung South Korea
Fengchang Huang China
Baidong Yang China
Atsushi Miyabo Japan
Xixi Jiang China
Hanbee Lee South Korea
Yangdan Lu China
Ziqi Jia China
Yangshuang Bian relative to Mohammad Taha Australia Mohammad Taha's profile →
Citations per field
00.5×4.2×
Mohammad Taha · 1×
Citations per year

Countries citing papers authored by Yangshuang Bian

Since Specialization
Citations

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

Fields of papers citing papers by Yangshuang Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 202439
4 202414
5 202413
6 202453
7 20245
8 202412
9 20241
10 20242
11 20237
12 202311
13 20230
14 202235
15 202231
16 202212
17 202151
18 20211
19 20218
20 202016

About Yangshuang Bian

Yangshuang Bian is a scholar working on Polymers and Plastics, Biomedical Engineering, Inorganic Chemistry, Electrical and Electronic Engineering and Bioengineering, having authored 21 papers that have together received 326 indexed citations. Recurring topics across this work include Conducting polymers and applications (11 papers), Advanced Sensor and Energy Harvesting Materials (11 papers), Covalent Organic Framework Applications (4 papers), Organic Electronics and Photovoltaics (4 papers), Perovskite Materials and Applications (3 papers), Advanced Memory and Neural Computing (3 papers), Metal-Organic Frameworks: Synthesis and Applications (3 papers) and Luminescence and Fluorescent Materials (2 papers). The work is most often cited by research in Polymers and Plastics (137 citations), Electrical and Electronic Engineering (205 citations), Biomedical Engineering (157 citations), Cellular and Molecular Neuroscience (32 citations) and Materials Chemistry (75 citations). Yangshuang Bian has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Yunlong Guo, Zhiyuan Zhao, Yunqi Liu, Mingcong Qin, Mingliang Zhu, Junhua Kuang, Kai Liu, Cheng Li, Guocai Liu and Mingchao Shao. Their work appears in journals such as Nature Communications, Advanced Materials, Journal of the American Chemical Society, Chemistry of Materials and Laser & Photonics Review.

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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