Jingwei Ai
Impact in
- Surfaces, Coatings and Films top 10%
- Surface Modification and Superhydrophobicity
- Biomedical Engineering top 5%
- Advanced Sensor and Energy Harvesting Materials
Papers in
-
- Surface Modification and Superhydrophobicity 4
-
- Tactile and Sensory Interactions 8
- Co-authors
- Bin SuZheng MaRuiping ZouXuan ZhangZhuolin DuDezhi ChenYunsong ShiKun Wang
- Journals
- ACS Applied Materials & Interfaces (4 papers)Nano Energy (4 papers)Journal of Materials Chemistry C (3 papers)Advanced Science (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaAustraliaSwitzerland
In The Last Decade
Jingwei Ai
19 papers receiving 727 citations
Peers
Comparison fields: 5 of 56
- Surfaces, Coatings and Films 83
- Biomedical Engineering 519
- Cognitive Neuroscience 153
- Polymers and Plastics 107
- Electronic, Optical and Magnetic Materials 123
Countries citing papers authored by Jingwei Ai
This map shows the geographic impact of Jingwei 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 Jingwei Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingwei Ai more than expected).
Fields of papers citing papers by Jingwei Ai
This network shows the impact of papers produced by Jingwei 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 Jingwei Ai. The network helps show where Jingwei Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jingwei 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 | 2023 | 3 | |
| 2 | 2022 | 31 | |
| 3 | 2021 | 26 | |
| 4 | 2021 | 23 | |
| 5 | 2021 | 67 | |
| 6 | 2021 | 11 | |
| 7 | 2021 | 24 | |
| 8 | 2020 | 57 | |
| 9 | 2020 | 115 | |
| 10 | 2020 | 85 | |
| 11 | 2020 | 3 | |
| 12 | 2020 | 31 | |
| 13 | 2019 | 34 | |
| 14 | 2019 | 36 | |
| 15 | 2019 | 41 | |
| 16 | 2019 | 62 | |
| 17 | 2018 | 13 | |
| 18 | 2016 | 68 | |
| 19 | 2016 | 9 |
About Jingwei Ai
Jingwei Ai is a scholar working on Surfaces, Coatings and Films, Cognitive Neuroscience, Human-Computer Interaction, Biomedical Engineering and Mechanical Engineering, having authored 19 papers that have together received 739 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (14 papers), Tactile and Sensory Interactions (8 papers), Advanced Materials and Mechanics (6 papers), Surface Modification and Superhydrophobicity (4 papers), Innovative Energy Harvesting Technologies (3 papers), Modular Robots and Swarm Intelligence (2 papers), Advanced Battery Materials and Technologies (2 papers) and Solar-Powered Water Purification Methods (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (83 citations), Biomedical Engineering (519 citations), Cognitive Neuroscience (153 citations), Polymers and Plastics (107 citations) and Electronic, Optical and Magnetic Materials (123 citations). Jingwei Ai has collaborated with scholars based in China, Australia and Switzerland. Frequent co-authors include Bin Su, Zheng Ma, Ruiping Zou, Xuan Zhang, Zhuolin Du, Dezhi Chen, Yunsong Shi, Kun Wang, Zhenhua Wu and Xuan Zhang. Their work appears in journals such as ACS Applied Materials & Interfaces, Nano Energy, Journal of Materials Chemistry C, Advanced Science 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.