Shuai Yan
- Renewable Energy, Sustainability and the Environment top 5%
- Materials Chemistry top 10%
- Electrical and Electronic Engineering
- Electronic, Optical and Magnetic Materials
- Ecology
- Co-authors
- Fan DongYanjuan SunYuxin ZhangZhongbiao WuZaiwang ZhaoXiaochuang YaoZhuoxiang RenBingbo Gao
- Topics
- Model Reduction and Neural Networks (7 papers)Electromagnetic Simulation and Numerical Methods (5 papers)Smart Agriculture and AI (5 papers)
- Cited by
- Renewable Energy, Sustainability and the EnvironmentMaterials ChemistryElectrical and Electronic Engineering
- Partner nations
- ChinaFranceUnited States
In The Last Decade
Shuai Yan
31 papers receiving 759 citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Renewable Energy, Sustainability and the Environment 489
- Materials Chemistry 400
- Electrical and Electronic Engineering 312
- Electronic, Optical and Magnetic Materials 67
- Ecology 66
Countries citing papers authored by Shuai Yan
This map shows the geographic impact of Shuai Yan'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 Shuai Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuai Yan more than expected).
Fields of papers citing papers by Shuai Yan
This network shows the impact of papers produced by Shuai Yan. 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 Shuai Yan. The network helps show where Shuai Yan may publish in the future.
Co-authorship network of co-authors of Shuai Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Shuai Yan. A scholar is included among the top collaborators of Shuai Yan 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 Shuai Yan. Shuai Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 12 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 15 | |
| 10 | 0 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 16 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 9 | |
| 18 | An Advanced Semimetal–Organic Bi Spheres–g-C3N4 Nanohybrid with SPR-Enhanced Visible-Light Photocatalytic Performance for NO Purificationbreakdown → | 501 |
| 19 | 1 | |
| 20 | 1 |
About Shuai Yan
Shuai Yan is a scholar working on Computational Mathematics, Statistical and Nonlinear Physics and Numerical Analysis, having authored 38 papers that have together received 780 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (7 papers), Electromagnetic Simulation and Numerical Methods (5 papers) and Smart Agriculture and AI (5 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (489 citations), Materials Chemistry (400 citations) and Electrical and Electronic Engineering (312 citations). Shuai Yan has collaborated with scholars based in China, France and United States. Frequent co-authors include Fan Dong, Yanjuan Sun, Yuxin Zhang, Zhongbiao Wu, Zaiwang Zhao, Xiaochuang Yao, Zhuoxiang Ren, Bingbo Gao, Dehai Zhu and Jianyu Yang. Their work appears in journals such as Environmental Science & Technology, Advanced Functional Materials and Scientific Reports.
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.