Yu Yao
Impact in
- Bioengineering top 5%
- Analytical Chemistry and Sensors
- Materials Chemistry top 10%
- MXene and MAX Phase Materials
- 2D Materials and Applications
Papers in
-
- Gas Sensing Nanomaterials and Sensors 16
- Advanced Memory and Neural Computing 6
-
- MXene and MAX Phase Materials 18
- 2D Materials and Applications 7
- Co-authors
- Zhigang Zhu (17 shared papers)Yutong Han (17 shared papers)Lili Xie (11 shared papers)Xueling Zhao (6 shared papers)Zifeng Wang (5 shared papers)Ming Zhou (4 shared papers)Zhanhong Li (5 shared papers)Nicolae Bârsan (3 shared papers)
- Journals
- Sensors and Actuators B Chemical (5 papers)Nanotechnology (4 papers)Chemical Engineering Journal (4 papers)Environmental Science & Technology (2 papers)Advanced Engineering Materials (2 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Yu Yao
53 papers receiving 788 citations
Peers
Comparison fields: 5 of 95
- Bioengineering 75
- Materials Chemistry 384
- Electrical and Electronic Engineering 410
- Polymers and Plastics 94
- Biomedical Engineering 188
Countries citing papers authored by Yu Yao
This map shows the geographic impact of Yu Yao'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 Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Yao more than expected).
Fields of papers citing papers by Yu Yao
This network shows the impact of papers produced by Yu Yao. 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 Yao. The network helps show where Yu Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Yao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 83 | |
| 2 | 2022 | 72 | |
| 3 | 2022 | 64 | |
| 4 | 2023 | 51 | |
| 5 | 2020 | 46 | |
| 6 | 2021 | 41 | |
| 7 | 2016 | 38 | |
| 8 | 2006 | 34 | |
| 9 | 2017 | 26 | |
| 10 | 2021 | 25 | |
| 11 | 2023 | 24 | |
| 12 | 2023 | 24 | |
| 13 | 2024 | 24 | |
| 14 | 2022 | 20 | |
| 15 | 2024 | 20 | |
| 16 | 2024 | 15 | |
| 17 | 2024 | 14 | |
| 18 | 2024 | 14 | |
| 19 | 2021 | 13 | |
| 20 | 2024 | 12 |
About Yu Yao
Yu Yao is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Biomedical Engineering, Polymers and Plastics and Molecular Biology, having authored 58 papers that have together received 794 indexed citations. Recurring topics across this work include MXene and MAX Phase Materials (18 papers), Gas Sensing Nanomaterials and Sensors (16 papers), 2D Materials and Applications (7 papers), Advanced Memory and Neural Computing (6 papers), Advanced Sensor and Energy Harvesting Materials (5 papers), Analytical Chemistry and Sensors (4 papers), Advanced Chemical Sensor Technologies (4 papers) and Advanced Photocatalysis Techniques (3 papers). The work is most often cited by research in Bioengineering (75 citations), Materials Chemistry (384 citations), Electrical and Electronic Engineering (410 citations), Polymers and Plastics (94 citations) and Biomedical Engineering (188 citations). Yu Yao has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Zhigang Zhu, Yutong Han, Lili Xie, Xueling Zhao, Zifeng Wang, Ming Zhou, Zhanhong Li, Nicolae Bârsan, Jun Zhang and Wenxing Wang. Their work appears in journals such as Sensors and Actuators B Chemical, Nanotechnology, Chemical Engineering Journal, Environmental Science & Technology and Advanced Engineering Materials.
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.