Bin Ai

2.3k citations
89 papers · 1.9k · h-index 25

Impact in

Papers in

Bin Ai

85 papers receiving 1.9k citations

Peers

Bin Ai
Comparison fields: 5 of 94
  • Energy Engineering and Power Technology 184
  • Electronic, Optical and Magnetic Materials 791
  • Surfaces, Coatings and Films 161
  • Biomedical Engineering 1000
  • Renewable Energy, Sustainability and the Environment 267
Replace Ran Hao with:
Ran Hao China
Mingkun Wang China
Shu Chen China
Xun Li China
Nils Høivik Norway
Guofeng Yang China
Ke Wang China
Da‐Jeng Yao Taiwan
Ying Du China
Qi Gao China
Bin Ai relative to Ran Hao China Ran Hao's profile →
Citations per field
00.5×5.1×
Ran Hao · 1×
Citations per year

Countries citing papers authored by Bin Ai

Since Specialization
Citations

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

Fields of papers citing papers by Bin Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003242
2 2021137
3 201698
4 202087
5 201875
6 201372
7 201656
8 201753
9 201847
10 201447
11 202246
12 201844
13 202143
14 202342
15 201342
16 201740
17 202238
18 201937
19 202035
20 202333

About Bin Ai

Bin Ai is a scholar working on Biomedical Engineering, Electronic, Optical and Magnetic Materials, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Surfaces, Coatings and Films, having authored 89 papers that have together received 1.9k indexed citations. Recurring topics across this work include Plasmonic and Surface Plasmon Research (40 papers), Gold and Silver Nanoparticles Synthesis and Applications (30 papers), Metamaterials and Metasurfaces Applications (16 papers), Photonic Crystals and Applications (12 papers), Orbital Angular Momentum in Optics (9 papers), Optical Coatings and Gratings (8 papers), Advanced Chemical Sensor Technologies (6 papers) and Nanofabrication and Lithography Techniques (6 papers). The work is most often cited by research in Energy Engineering and Power Technology (184 citations), Electronic, Optical and Magnetic Materials (791 citations), Surfaces, Coatings and Films (161 citations), Biomedical Engineering (1000 citations) and Renewable Energy, Sustainability and the Environment (267 citations). Bin Ai has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Gang Zhang, Helmuth Möhwald, Yiping Zhao, Ye Yu, Xianbo Liao, Hui Shen, Hongxing Yang, Zengyao Wang, Yuduo Guan and Yixin Chen. Their work appears in journals such as Advanced Optical Materials, Nanoscale, Advanced Materials Interfaces, Small and ACS Nano.

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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