Shuai Yan
- Computer Vision and Pattern Recognition top 10%
- Computational Mechanics
- Fluid Flow and Transfer Processes top 10%
- Aerospace Engineering
- Automotive Engineering
- Topics
- Combustion and flame dynamics (6 papers)Advanced Combustion Engine Technologies (6 papers)Atmospheric chemistry and aerosols (4 papers)
- Cited by
- Fluid Flow and Transfer ProcessesComputer Vision and Pattern RecognitionIndustrial and Manufacturing Engineering
- Journals
- Journal of Fluid MechanicsEnergyFuel
- Partner nations
- ChinaUnited KingdomIreland
In The Last Decade
Shuai Yan
31 papers receiving 364 citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Computer Vision and Pattern Recognition 133
- Computational Mechanics 60
- Fluid Flow and Transfer Processes 43
- Aerospace Engineering 41
- Automotive Engineering 38
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 | 0 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 14 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 6 | |
| 12 | 8 | |
| 13 | 1 | |
| 14 | 相変化メモリ応用のためのエピタキシャルダイオードアレイにおける駆動電流とクロストーク効果の最適化【JST・京大機械翻訳】 | 1 |
| 15 | 0 | |
| 16 | プロパン分子のComptonプロフィルの研究【Powered by NICT】 | 1 |
| 17 | Population and Community Dynamics of Four Species of Pseudodactylogyrus (Monogenea, Dactylogyridae) on Japanese eel, Anguilla japonica (Temminck and Schlegel, 1846) Cultured in Two Chinese Fish Farms | 3 |
| 18 | 1 | |
| 19 | jing xiong ru ru lu qiang jing jia zhuang xian shou shu de hu li | 1 |
| 20 | 2 |
About Shuai Yan
Shuai Yan is a scholar working on Fluid Flow and Transfer Processes, Structural Biology and Radiation, having authored 36 papers that have together received 376 indexed citations. Recurring topics across this work include Combustion and flame dynamics (6 papers), Advanced Combustion Engine Technologies (6 papers) and Atmospheric chemistry and aerosols (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (43 citations), Computer Vision and Pattern Recognition (133 citations) and Industrial and Manufacturing Engineering (33 citations). Shuai Yan has collaborated with scholars based in China, United Kingdom and Ireland. Frequent co-authors include Chaoqun Duan, Xudong Dong, Qinghua Guo, Yan Gong, Guangsuo Yu, Shuai Li, Shi‐Ping Wang, Fuchen Wang, Peng‐Peng Niu and Xiaohui Tian. Their work appears in journals such as Journal of Fluid Mechanics, Energy and Fuel.
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.