Bin Ai

2.5k citations
95 papers · 2.1k · h-index 25

Impact in

Papers in

Bin Ai

91 papers receiving 2.1k citations

Peers

Bin Ai
Comparison fields: 5 of 94
  • Energy Engineering and Power Technology 195
  • Electronic, Optical and Magnetic Materials 823
  • Surfaces, Coatings and Films 172
  • Biomedical Engineering 1.0k
  • Renewable Energy, Sustainability and the Environment 275
Replace Ran Hao with:
Ran Hao China
Mingkun Wang China
Yanliang Zhang United States
Xun Li China
Nils Høivik Norway
Wenjun Chen China
Da‐Jeng Yao Taiwan
Ying Du China
Xiaoyang Zhu China
Mingming Jiang China
Bin Ai relative to Ran Hao China Ran Hao's profile →
Citations per field
00.5×2×4×5.3×
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 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003259
2 2021151
3 2016104
4 202094
5 201879
6 201377
7 202260
8 201658
9 201755
10 202352
11 201450
12 201847
13 201345
14 201845
15 202145
16 202341
17 201741
18 202239
19 202238
20 201937

About Bin Ai

Bin Ai is a scholar working on Electronic, Optical and Magnetic Materials, Biomedical Engineering, Surfaces, Coatings and Films, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 95 papers that have together received 2.1k indexed citations. Recurring topics across this work include Plasmonic and Surface Plasmon Research (41 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), Photonic and Optical Devices (7 papers) and Advanced Chemical Sensor Technologies (6 papers). The work is most often cited by research in Energy Engineering and Power Technology (195 citations), Electronic, Optical and Magnetic Materials (823 citations), Surfaces, Coatings and Films (172 citations), Biomedical Engineering (1.0k citations) and Renewable Energy, Sustainability and the Environment (275 citations). Bin Ai has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Gang Zhang, Helmuth Moehwald, Yiping Zhao, Xianbo Liao, Hui Shen, Ye Yu, Hongxing Yang, Zengyao Wang, Yuduo Guan and Yixin Chen. Their work appears in journals such as Advanced Optical Materials, Nanoscale, Small, Advanced Materials Interfaces and Nanotechnology.

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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