Ye Ai
- Biomedical Engineering top 0.2%
- Microfluidic and Bio-sensing Technologies 84
- Microfluidic and Capillary Electrophoresis Applications 58
- Nanopore and Nanochannel Transport Studies 35
- Innovative Microfluidic and Catalytic Techniques Innovation 12
- Biosensors and Analytical Detection 10
- 3D Printing in Biomedical Research 8
- Physical and Theoretical Chemistry top 0.5%
- Electrostatics and Colloid Interactions 24
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- Electrowetting and Microfluidic Technologies 19
- Biophysics top 5%
- Condensed Matter Physics top 10%
- Co-authors
- David J. CollinsZhichao MaShizhi QianYinning ZhouAdrian NeildJinhong GuoJongyoon HanSang Woo Joo
- Cited by
- Biomedical EngineeringPhysical and Theoretical ChemistryElectrical and Electronic Engineering
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
Ye Ai
130 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Biomedical Engineering 5.0k
- Physical and Theoretical Chemistry 735
- Electrical and Electronic Engineering 1.9k
- Biophysics 99
- Condensed Matter Physics 137
Countries citing papers authored by Ye Ai
This map shows the geographic impact of Ye 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 Ye Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Ai more than expected).
Fields of papers citing papers by Ye Ai
This network shows the impact of papers produced by Ye 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 Ye Ai. The network helps show where Ye Ai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ye Ai, 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 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 29 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 8 | |
| 9 | 2021 | 41 | |
| 10 | 2021 | 36 | |
| 11 | 2021 | 35 | |
| 12 | 2021 | 29 | |
| 13 | 2020 | 37 | |
| 14 | 2020 | 24 | |
| 15 | 2020 | 47 | |
| 16 | 2017 | 41 | |
| 17 | 2016 | 41 | |
| 18 | 2010 | 87 | |
| 19 | 2008 | 47 | |
| 20 | Simulation of Seismic Behavior for Bridge Bearings | 2001 | 3 |
About Ye Ai
Ye Ai is a scholar working on Physical and Theoretical Chemistry, Biomedical Engineering, Electrical and Electronic Engineering, Clinical Biochemistry and Applied Microbiology and Biotechnology, having authored 133 papers that have together received 5.8k indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (84 papers), Microfluidic and Capillary Electrophoresis Applications (58 papers), Nanopore and Nanochannel Transport Studies (35 papers), Electrostatics and Colloid Interactions (24 papers), Electrowetting and Microfluidic Technologies (19 papers), Innovative Microfluidic and Catalytic Techniques Innovation (12 papers), Biosensors and Analytical Detection (10 papers) and 3D Printing in Biomedical Research (8 papers). The work is most often cited by research in Biomedical Engineering (5.0k citations), Physical and Theoretical Chemistry (735 citations), Electrical and Electronic Engineering (1.9k citations), Biophysics (99 citations) and Condensed Matter Physics (137 citations). Ye Ai has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include David J. Collins, Zhichao Ma, Shizhi Qian, Yinning Zhou, Adrian Neild, Jinhong Guo, Jongyoon Han, Sang Woo Joo, Mahnoush Tayebi and Dahou Yang. Their work appears in journals such as Analytical Chemistry, Lab on a Chip, Electrophoresis, Sensors and Actuators B Chemical and Journal of Colloid and Interface Science.
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.