Yu Mei
- Electrical and Electronic Engineering
- Materials Chemistry
- Computational Mechanics
- Aerospace Engineering
- Process Chemistry and Technology top 10%
- Co-authors
- Xuhai PanHaihong WuPeng WuWei ZhangJuncheng JiangMichael NegnevitskyHonglei WangXiaolin Wang
- Topics
- Combustion and Detonation Processes (6 papers)Robot Manipulation and Learning (5 papers)Soft Robotics and Applications (5 papers)
- Cited by
- Process Chemistry and TechnologyAutomotive EngineeringEnergy Engineering and Power Technology
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yu Mei
33 papers receiving 261 citations
Peers
Comparison fields: 5 of 64
- Electrical and Electronic Engineering 61
- Materials Chemistry 54
- Computational Mechanics 42
- Aerospace Engineering 39
- Process Chemistry and Technology 35
Countries citing papers authored by Yu Mei
This map shows the geographic impact of Yu Mei'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 Yu Mei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Mei more than expected).
Fields of papers citing papers by Yu Mei
This network shows the impact of papers produced by Yu Mei. 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 Yu Mei. The network helps show where Yu Mei may publish in the future.
Co-authorship network of co-authors of Yu Mei
This figure shows the co-authorship network connecting the top 25 collaborators of Yu Mei. A scholar is included among the top collaborators of Yu Mei 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 Yu Mei. Yu Mei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 32 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 22 | |
| 13 | 0 | |
| 14 | 25 | |
| 15 | Joint Design of Trunk-Feeder Transit with Many-to-Many Demand | 2 |
| 16 | 1 | |
| 17 | 11 | |
| 18 | A Quality Assessment Method of Stereoscopic Images Based on Human Visual System | 0 |
| 19 | Ray Space Interpolation and Viewpoint Rendering Based on Inter-slice Correlation | 1 |
| 20 | A fast disparity estimation algorithm for stereo video coding based on H.264 | 0 |
About Yu Mei
Yu Mei is a scholar working on Process Chemistry and Technology, Media Technology and Transportation, having authored 37 papers that have together received 267 indexed citations. Recurring topics across this work include Combustion and Detonation Processes (6 papers), Robot Manipulation and Learning (5 papers) and Soft Robotics and Applications (5 papers). The work is most often cited by research in Process Chemistry and Technology (35 citations), Automotive Engineering (27 citations) and Energy Engineering and Power Technology (7 citations). Yu Mei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xuhai Pan, Haihong Wu, Peng Wu, Wei Zhang, Juncheng Jiang, Michael Negnevitsky, Honglei Wang, Xiaolin Wang, Zeyang Song and Xilin Wang. Their work appears in journals such as Applied Physics Letters, ACS Applied Materials & Interfaces and Polymer.
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.