Bin Ai

461 citations
50 papers · 351 · h-index 10

Impact in

Papers in

Bin Ai

42 papers receiving 337 citations

Peers

Bin Ai
Comparison fields: 5 of 56
  • Electrical and Electronic Engineering 233
  • Atomic and Molecular Physics, and Optics 102
  • Materials Chemistry 141
  • Health Informatics 4
  • Renewable Energy, Sustainability and the Environment 44
Replace Liu Shi with:
Liu Shi China
Jianwei Cai China
V. P. Kostylyov Ukraine
Ziqing Guo China
Jingquan Zhang China
Gagan Anand India
J. Dąbrowski Germany
V.D. Rumyantsev Russia
Yuya Sakai Japan
Konstantinos Kotsovos Saudi Arabia
Bin Ai relative to Liu Shi China Liu Shi's profile →
Citations per field
00.5×2.8×
Liu Shi · 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 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201847
2 201936
3 202031
4 201826
5 201822
6 202119
7 201018
8 200512
9 202210
10 202310
11 20239
12 20209
13 20048
14 20108
15 20227
16 20216
17 20105
18 20225
19 20125
20 20195

About Bin Ai

Bin Ai is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Atomic and Molecular Physics, and Optics, Renewable Energy, Sustainability and the Environment and Mechanical Engineering, having authored 50 papers that have together received 351 indexed citations. Recurring topics across this work include Silicon and Solar Cell Technologies (25 papers), Thin-Film Transistor Technologies (20 papers), Photovoltaic System Optimization Techniques (9 papers), Silicon Nanostructures and Photoluminescence (9 papers), Semiconductor materials and interfaces (9 papers), solar cell performance optimization (4 papers), Cellular and Composite Structures (3 papers) and Remote Sensing and Land Use (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (233 citations), Atomic and Molecular Physics, and Optics (102 citations), Materials Chemistry (141 citations), Health Informatics (4 citations) and Renewable Energy, Sustainability and the Environment (44 citations). Bin Ai has collaborated with scholars based in China, Germany and Hong Kong. Frequent co-authors include Hui Shen, Zongcun Liang, Lun Cai, Wenjie Lin, Zhirong Yao, Kaifu Qiu, Weiliang Wu, Zongtao Liu, Lin Zhuang and Zheng Ming Sun. Their work appears in journals such as Energies, Solar Energy, ACS Applied Materials & Interfaces, Journal of Crystal Growth and Japanese Journal of Applied Physics.

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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