Yuan Ai

412 total citations
20 papers, 343 citations indexed

About

Yuan Ai is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Yuan Ai has authored 20 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 7 papers in Electrical and Electronic Engineering and 6 papers in Mechanical Engineering. Recurrent topics in Yuan Ai's work include Quantum Dots Synthesis And Properties (2 papers), Additive Manufacturing Materials and Processes (2 papers) and Energy Load and Power Forecasting (2 papers). Yuan Ai is often cited by papers focused on Quantum Dots Synthesis And Properties (2 papers), Additive Manufacturing Materials and Processes (2 papers) and Energy Load and Power Forecasting (2 papers). Yuan Ai collaborates with scholars based in China and United States. Yuan Ai's co-authors include Yuming Huang, Xiaodan Zhang, Qiumeng Chen, Yuwan Lu, Xuanxiang Mao, Sheng Liu, Xiaowei Liu, Xiaoliang Zhang, Qi Shao and Huayu Zhang and has published in prestigious journals such as Advanced Functional Materials, The Journal of Physical Chemistry C and Journal of Membrane Science.

In The Last Decade

Yuan Ai

17 papers receiving 338 citations

Peers

Yuan Ai
Comparison fields: 5 of 49
  • Materials Chemistry 207
  • Electrical and Electronic Engineering 173
  • Molecular Biology 91
  • Biomedical Engineering 63
  • Mechanical Engineering 57
Replace Jia-yu Li with:
Jia-yu Li China
Qile Li China
Kaili Jia China
Aniu Qian China
Guochang Li China
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Seyed Mohammad Elahi Iran
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Anna Jančík Procházková Czechia
Jia-yu Li China View profile →
Citations per field, relative to Yuan Ai
Yuan Ai · 1×
Citations per year, relative to Yuan Ai
Yuan Ai · 1×

Countries citing papers authored by Yuan Ai

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Ai. A scholar is included among the top collaborators of Yuan 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 Yuan Ai. Yuan 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 4
2 0
3 0
4 2
5 0
6 1
7 2
8 60
9 7
10 10
11 3
12 1
13 5
14 11
15 96
16 3
17 87
18 35
19 11
20 5

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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