Bing Ai

972 citations
35 papers · 821 · h-index 15

Impact in

    • Glass properties and applications
    • Luminescence Properties of Advanced Materials
    • Quantum Dots Synthesis And Properties
    • Solid-state spectroscopy and crystallography

Papers in

Bing Ai

34 papers receiving 799 citations

Peers

Bing Ai
Comparison fields: 5 of 58
  • Ceramics and Composites 87
  • Materials Chemistry 539
  • Acoustics and Ultrasonics 9
  • Electrical and Electronic Engineering 570
  • Renewable Energy, Sustainability and the Environment 110
Replace Lingwei Zeng with:
Lingwei Zeng China
Danyang Wu China
Thomas S. Varley United Kingdom
Xiaotang Liu China
Wangxi Zhang China
Jianhua Zheng China
Changshan Xu China
D.M. Jnaneshwara India
Stanislav Šlang Czechia
Bing Ai relative to Lingwei Zeng China Lingwei Zeng's profile →
Citations per field
00.5×3.4×
Lingwei Zeng · 1×
Citations per year

Countries citing papers authored by Bing Ai

Since Specialization
Citations

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

Fields of papers citing papers by Bing Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016213
2 2017121
3 201568
4 201549
5 201536
6 201931
7 201826
8 201824
9 201922
10 201522
11 202419
12 202218
13 201918
14 201916
15 201415
16 201914
17 202113
18 201813
19 202212
20 202311

About Bing Ai

Bing Ai is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Polymers and Plastics, Organic Chemistry and Automotive Engineering, having authored 35 papers that have together received 821 indexed citations. Recurring topics across this work include Advanced Battery Materials and Technologies (10 papers), Advancements in Battery Materials (10 papers), Luminescence Properties of Advanced Materials (7 papers), Polymer Nanocomposites and Properties (3 papers), Advanced Battery Technologies Research (3 papers), Glass properties and applications (3 papers), Catalytic C–H Functionalization Methods (3 papers) and Oxidative Organic Chemistry Reactions (3 papers). The work is most often cited by research in Ceramics and Composites (87 citations), Materials Chemistry (539 citations), Acoustics and Ultrasonics (9 citations), Electrical and Electronic Engineering (570 citations) and Renewable Energy, Sustainability and the Environment (110 citations). Bing Ai has collaborated with scholars based in China, Australia and South Korea. Frequent co-authors include Chao Liu, Xiujian Zhao, Jianjun Han, Jing Wang, Jun Xie, Zhao Deng, Hongqi Sun, Lipeng Zhang, Zhiyong Zhao and Xiang Qiu. Their work appears in journals such as Journal of Materials Science, RSC Advances, Polymers, Journal of the American Ceramic Society and Organic & Biomolecular 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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