Sufen Ai

1.1k citations
27 papers · 898 · h-index 16

Impact in

Papers in

Sufen Ai

26 papers receiving 887 citations

Peers

Sufen Ai
Comparison fields: 5 of 63
  • Surfaces, Coatings and Films 244
  • Electronic, Optical and Magnetic Materials 336
  • Biomaterials 138
  • Aerospace Engineering 246
  • Polymers and Plastics 135
Replace Ying Song with:
Ying Song China
Javier Pozuelo Spain
Bin Hou China
Meng Guo Canada
Lu Zhao China
Lining Pan China
Zhihong Tang China
Hiroyuki Umehara Japan
Anindarupa Chunder United States
Wenyu Shi China
Sufen Ai relative to Ying Song China Ying Song's profile →
Citations per field
00.5×6.6×
Ying Song · 1×
Citations per year

Countries citing papers authored by Sufen Ai

Since Specialization
Citations

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

Fields of papers citing papers by Sufen Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003206
2 2019113
3 200570
4 200861
5 200561
6 201949
7 201940
8 201939
9 201936
10 201933
11 201932
12 201932
13 201929
14 200526
15 200616
16 201815
17 201911
18 20079
19 20054
20 20194

About Sufen Ai

Sufen Ai is a scholar working on Electronic, Optical and Magnetic Materials, Surfaces, Coatings and Films, Spectroscopy, Polymers and Plastics and Aerospace Engineering, having authored 27 papers that have together received 898 indexed citations. Recurring topics across this work include Aerogels and thermal insulation (9 papers), Electromagnetic wave absorption materials (6 papers), Advanced Antenna and Metasurface Technologies (6 papers), Supercapacitor Materials and Fabrication (6 papers), Polymer Surface Interaction Studies (5 papers), Surface Modification and Superhydrophobicity (5 papers), Electrophoretic Deposition in Materials Science (4 papers) and Metamaterials and Metasurfaces Applications (4 papers). The work is most often cited by research in Surfaces, Coatings and Films (244 citations), Electronic, Optical and Magnetic Materials (336 citations), Biomaterials (138 citations), Aerospace Engineering (246 citations) and Polymers and Plastics (135 citations). Sufen Ai has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Junbai Li, Qiang He, Gang Lü, Junxiong Zhang, Zhaofeng Chen, Hezhou Liu, Xinli Ye, Qianbo Zhou, Bin Hou and Sheng Cui. Their work appears in journals such as Ceramics International, Journal of Nanoscience and Nanotechnology, ACS Sustainable Chemistry & Engineering, Macromolecular Rapid Communications and Journal of the American Chemical Society.

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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