Ruoqi Ai
- Materials Chemistry top 10%
- Electronic, Optical and Magnetic Materials top 10%
- Biomedical Engineering top 10%
- Electrical and Electronic Engineering
- Renewable Energy, Sustainability and the Environment
- Co-authors
- Jianfang WangLei ShaoXiaopeng BaiXizhe ChengJiapeng ZhengHan ZhangKangkang YaoPeng Chen
- Topics
- 2D Materials and Applications (9 papers)Gold and Silver Nanoparticles Synthesis and Applications (8 papers)Plasmonic and Surface Plasmon Research (7 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Ruoqi Ai
20 papers receiving 954 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Materials Chemistry 594
- Electronic, Optical and Magnetic Materials 365
- Biomedical Engineering 337
- Electrical and Electronic Engineering 269
- Renewable Energy, Sustainability and the Environment 118
Countries citing papers authored by Ruoqi Ai
This map shows the geographic impact of Ruoqi 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 Ruoqi Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruoqi Ai more than expected).
Fields of papers citing papers by Ruoqi Ai
This network shows the impact of papers produced by Ruoqi 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 Ruoqi Ai. The network helps show where Ruoqi Ai may publish in the future.
Co-authorship network of co-authors of Ruoqi Ai
This figure shows the co-authorship network connecting the top 25 collaborators of Ruoqi Ai. A scholar is included among the top collaborators of Ruoqi 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 Ruoqi Ai. Ruoqi Ai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 9 | |
| 3 | 2 | |
| 4 | 12 | |
| 5 | 9 | |
| 6 | 14 | |
| 7 | 19 | |
| 8 | Gold Nanorods: The Most Versatile Plasmonic Nanoparticlesbreakdown → | 457 |
| 9 | 13 | |
| 10 | 1 | |
| 11 | 11 | |
| 12 | 33 | |
| 13 | 9 | |
| 14 | 40 | |
| 15 | 171 | |
| 16 | 37 | |
| 17 | 66 | |
| 18 | 59 | |
| 19 | 2 | |
| 20 | Nanoparticle-laden tubeless and open siphons† | 3 |
About Ruoqi Ai
Ruoqi Ai is a scholar working on Electronic, Optical and Magnetic Materials, Materials Chemistry and Biomedical Engineering, having authored 20 papers that have together received 969 indexed citations. Recurring topics across this work include 2D Materials and Applications (9 papers), Gold and Silver Nanoparticles Synthesis and Applications (8 papers) and Plasmonic and Surface Plasmon Research (7 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (365 citations), Materials Chemistry (594 citations) and Biomedical Engineering (337 citations). Ruoqi Ai has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jianfang Wang, Lei Shao, Xiaopeng Bai, Xizhe Cheng, Jiapeng Zheng, Han Zhang, Kangkang Yao, Peng Chen, Zhengwei Zhang and Xidong Duan. Their work appears in journals such as Chemical Reviews, Angewandte Chemie International Edition and Nano Letters.
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.