Boyuan Yu

586 citations
21 papers · 447 · h-index 12

Impact in

Papers in

    • Machine Learning in Materials Science 3
    • Catalytic Processes in Materials Science 3
    • Block Copolymer Self-Assembly 2
    • Material Dynamics and Properties 2
    • Surfactants and Colloidal Systems 4

Boyuan Yu

21 papers receiving 442 citations

Peers

Boyuan Yu
Comparison fields: 5 of 58
  • Surfaces, Coatings and Films 104
  • Physical and Theoretical Chemistry 64
  • Catalysis 38
  • Structural Biology 7
  • Materials Chemistry 228
Replace Andriy Horechyy with:
Andriy Horechyy Germany
Ling Qi China
Yanhui Ma China
Agustı́n S. Picco Argentina
Andrea Lassenberger Austria
Е. С. Оболонкова Russia
Alexey A. Zezin Russia
Shigeki Nomura Japan
Vinit S. Murthy United States
Sascha Oestreich Germany
Boyuan Yu relative to Andriy Horechyy Germany Andriy Horechyy's profile →
Citations per field
00.5×5.3×
Andriy Horechyy · 1×
Citations per year

Countries citing papers authored by Boyuan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Boyuan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202192
2 201971
3 202336
4 202028
5 202228
6 201727
7 202426
8 202023
9 202122
10 202319
11 202117
12 202211
13 202310
14 20258
15 20227
16 20237
17 20226
18 20224
19 20253
20 20251

About Boyuan Yu

Boyuan Yu is a scholar working on Materials Chemistry, Organic Chemistry, Surfaces, Coatings and Films, Catalysis and Renewable Energy, Sustainability and the Environment, having authored 21 papers that have together received 447 indexed citations. Recurring topics across this work include Polymer Surface Interaction Studies (6 papers), Surfactants and Colloidal Systems (4 papers), Machine Learning in Materials Science (3 papers), Electrocatalysts for Energy Conversion (3 papers), Catalytic Processes in Materials Science (3 papers), Block Copolymer Self-Assembly (2 papers), Electrostatics and Colloid Interactions (2 papers) and Material Dynamics and Properties (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (104 citations), Physical and Theoretical Chemistry (64 citations), Catalysis (38 citations), Structural Biology (7 citations) and Materials Chemistry (228 citations). Boyuan Yu has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Juan Pablo, Artem M. Rumyantsev, Matthew Tirrell, Nicholas E. Jackson, Feng Yang, Jeffrey Ting, Yan Fang, Kun Wang, Xin Zhao and Wei Chen. Their work appears in journals such as Journal of the American Chemical Society, Macromolecules, ACS Macro Letters, ACS Applied Electronic Materials and Molecular Systems Design & Engineering.

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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