Yaping Yu

636 citations
23 papers · 542 · h-index 15

Impact in

Papers in

Yaping Yu

23 papers receiving 533 citations

Peers

Yaping Yu
Comparison fields: 5 of 28
  • Polymers and Plastics 415
  • Electrical and Electronic Engineering 443
  • Bioengineering 36
  • Biomedical Engineering 107
  • Materials Chemistry 90
Replace Hailiang Liao with:
Hailiang Liao China
Olivier Bardagot France
Saurav Limbu United Kingdom
Alexander T. Lill United States
Dominique Lungwitz United States
Shengyu Cong China
Saumya Singh India
Chung Kun Song South Korea
Thomas Hodsden United Kingdom
Yaping Yu relative to Hailiang Liao China Hailiang Liao's profile →
Citations per field
00.5×10×15×20×
Hailiang Liao · 1×
Citations per year

Countries citing papers authored by Yaping Yu

Since Specialization
Citations

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

Fields of papers citing papers by Yaping Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202267
2 202064
3 202254
4 202141
5 202239
6 202332
7 202229
8 202428
9 201626
10 201623
11 202122
12 202218
13 201915
14 201615
15 201914
16 201714
17 201712
18 20198
19 20207
20 20216

About Yaping Yu

Yaping Yu is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering, Materials Chemistry, Biomedical Engineering and Organic Chemistry, having authored 23 papers that have together received 542 indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (21 papers), Conducting polymers and applications (21 papers), Perovskite Materials and Applications (7 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Luminescence and Fluorescent Materials (2 papers), Advanced Memory and Neural Computing (2 papers), Molecular Junctions and Nanostructures (2 papers) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Polymers and Plastics (415 citations), Electrical and Electronic Engineering (443 citations), Bioengineering (36 citations), Biomedical Engineering (107 citations) and Materials Chemistry (90 citations). Yaping Yu has collaborated with scholars based in China, United Kingdom and India. Frequent co-authors include Wan Yue, Iain McCulloch, Zhengke Li, Hailiang Liao, Yazhou Wang, Liuyuan Lan, Jiayao Duan, Genming Zhu, Yecheng Zhou and Junxin Chen. Their work appears in journals such as ACS Applied Materials & Interfaces, Organic Electronics, Journal of Materials Chemistry C, Advanced Functional Materials and Polymer Chemistry.

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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