Yuanfei Ai

1.1k total citations
26 papers, 989 citations indexed

About

Yuanfei Ai is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Polymers and Plastics. According to data from OpenAlex, Yuanfei Ai has authored 26 papers receiving a total of 989 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 15 papers in Electronic, Optical and Magnetic Materials and 7 papers in Polymers and Plastics. Recurrent topics in Yuanfei Ai's work include Supercapacitor Materials and Fabrication (12 papers), Advancements in Battery Materials (9 papers) and Advanced battery technologies research (7 papers). Yuanfei Ai is often cited by papers focused on Supercapacitor Materials and Fabrication (12 papers), Advancements in Battery Materials (9 papers) and Advanced battery technologies research (7 papers). Yuanfei Ai collaborates with scholars based in China, Taiwan and Hong Kong. Yuanfei Ai's co-authors include Zhiming M. Wang, Guozhen Shen, Zheng Lou, Yu‐Lun Chueh, Shuai Chen, Shu‐Chi Wu, Cuo Wu, Xuewen Geng, Ling Lee and Yuze Chen and has published in prestigious journals such as ACS Nano, Advanced Energy Materials and ACS Applied Materials & Interfaces.

In The Last Decade

Yuanfei Ai

24 papers receiving 978 citations

Peers

Yuanfei Ai
Comparison fields: 5 of 37
  • Electrical and Electronic Engineering 725
  • Electronic, Optical and Magnetic Materials 493
  • Biomedical Engineering 310
  • Polymers and Plastics 214
  • Materials Chemistry 196
Replace Liuxue Shen with:
Liuxue Shen China
Jien Li China
Xing Liang China
Yuling Shi China
Xiaoxian Zang China
Zhentao Nie China
Bing‐Ni Gu Taiwan
Qiuchun Dong China
Yongyun Mao China
Chuanxi Zhao China
Liuxue Shen China View profile →
Citations per field, relative to Yuanfei Ai
Yuanfei Ai · 1×
Citations per year, relative to Yuanfei Ai
Yuanfei Ai · 1×

Countries citing papers authored by Yuanfei Ai

Since Specialization
Citations

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

Fields of papers citing papers by Yuanfei Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanfei Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Yuanfei Ai. A scholar is included among the top collaborators of Yuanfei Ai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuanfei Ai. Yuanfei Ai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 5
4 13
5 29
6 44
7 6
8 2
9 55
10 18
11 6
12 105
13 1
14 3
15 132
16 74
17 23
18 82
19 4
20 1

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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