Ying Mei
Impact in
- Biomedical Engineering top 0.5%
- 3D Printing in Biomedical Research
- Membrane-based Ion Separation Techniques
- Innovative Microfluidic and Catalytic Techniques Innovation
- Biomaterials top 1%
- Electrospun Nanofibers in Biomedical Applications
Papers in
-
- Membrane Separation Technologies 19
-
- 3D Printing in Biomedical Research 28
- Membrane-based Ion Separation Techniques 24
- Co-authors
- Chuyang Y. TangDylan RichardsDaniel G. AndersonRóbert LangerJia JiaMichael J. YostYu Jun TanRoger R. Markwald
- Journals
- Desalination (7 papers)Water Environment Research (7 papers)Journal of Membrane Science (6 papers)Biomaterials (5 papers)Scientific Reports (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ying Mei
197 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Biomedical Engineering 3.5k
- Biomaterials 1.0k
- Water Science and Technology 979
- Surfaces, Coatings and Films 386
- Automotive Engineering 635
Countries citing papers authored by Ying Mei
This map shows the geographic impact of Ying 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 Ying Mei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Mei more than expected).
Fields of papers citing papers by Ying Mei
This network shows the impact of papers produced by Ying 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 Ying Mei. The network helps show where Ying Mei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ying Mei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 42 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 17 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 27 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 2 | |
| 12 | 2022 | 3 | |
| 13 | 2022 | 6 | |
| 14 | 2021 | 14 | |
| 15 | 2021 | 21 | |
| 16 | 2020 | 26 | |
| 17 | 2020 | 17 | |
| 18 | 2020 | 21 | |
| 19 | 2019 | 9 | |
| 20 | Combinatorial discovery of polymers resistant to bacterial attachment | 2012 | 3 |
About Ying Mei
Ying Mei is a scholar working on Water Science and Technology, Biomedical Engineering, Surfaces, Coatings and Films, Biomaterials and Environmental Engineering, having authored 203 papers that have together received 7.1k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (28 papers), Membrane-based Ion Separation Techniques (24 papers), Membrane Separation Technologies (19 papers), Tissue Engineering and Regenerative Medicine (12 papers), Urban Stormwater Management Solutions (12 papers), Complex Systems and Time Series Analysis (11 papers), Additive Manufacturing and 3D Printing Technologies (11 papers) and Electrospun Nanofibers in Biomedical Applications (10 papers). The work is most often cited by research in Biomedical Engineering (3.5k citations), Biomaterials (1.0k citations), Water Science and Technology (979 citations), Surfaces, Coatings and Films (386 citations) and Automotive Engineering (635 citations). Ying Mei has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chuyang Y. Tang, Dylan Richards, Daniel G. Anderson, Róbert Langer, Jia Jia, Michael J. Yost, Yu Jun Tan, Roger R. Markwald, Martyn C. Davies and Morgan R. Alexander. Their work appears in journals such as Desalination, Water Environment Research, Journal of Membrane Science, Biomaterials 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.