Chao‐Hui Yeh
Impact in
- Materials Chemistry top 1%
- Graphene research and applications
- 2D Materials and Applications
- MXene and MAX Phase Materials
- Structural Biology top 5%
Papers in
-
- Graphene research and applications 30
- 2D Materials and Applications 23
- MXene and MAX Phase Materials 10
- Carbon Nanotubes in Composites 6
- Co-authors
- Po‐Wen ChiuYung‐Chang LinKazu SuenagaChun‐Chieh LuChuanhong JinZheng-Yong LiangPo-Yuan TengZheng Liu
- Journals
- ACS Nano (11 papers)ACS Applied Materials & Interfaces (8 papers)Advanced Materials (4 papers)Nature Communications (3 papers)IEEE Transactions on Electron Devices (3 papers)
- Partner nations
- TaiwanJapanUnited States
In The Last Decade
Chao‐Hui Yeh
50 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Materials Chemistry 3.0k
- Structural Biology 57
- Electrical and Electronic Engineering 1.7k
- Electronic, Optical and Magnetic Materials 498
- Biomedical Engineering 863
Countries citing papers authored by Chao‐Hui Yeh
This map shows the geographic impact of Chao‐Hui Yeh'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 Chao‐Hui Yeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao‐Hui Yeh more than expected).
Fields of papers citing papers by Chao‐Hui Yeh
This network shows the impact of papers produced by Chao‐Hui Yeh. 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 Chao‐Hui Yeh. The network helps show where Chao‐Hui Yeh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chao‐Hui Yeh, 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 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 3 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2021 | 48 | |
| 7 | 2021 | 29 | |
| 8 | 2020 | 56 | |
| 9 | 2020 | 15 | |
| 10 | 2020 | 10 | |
| 11 | 2019 | 19 | |
| 12 | 2019 | 46 | |
| 13 | 2018 | 77 | |
| 14 | 2018 | 20 | |
| 15 | 2017 | 31 | |
| 16 | 2015 | 19 | |
| 17 | 2015 | 189 | |
| 18 | 2014 | 45 | |
| 19 | 2013 | 86 | |
| 20 | 2012 | 117 |
About Chao‐Hui Yeh
Chao‐Hui Yeh is a scholar working on Materials Chemistry, Structural Biology, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Biomedical Engineering, having authored 51 papers that have together received 3.5k indexed citations. Recurring topics across this work include Graphene research and applications (30 papers), 2D Materials and Applications (23 papers), MXene and MAX Phase Materials (10 papers), Advanced Memory and Neural Computing (8 papers), Carbon Nanotubes in Composites (6 papers), Ferroelectric and Negative Capacitance Devices (5 papers), Graphene and Nanomaterials Applications (5 papers) and Semiconductor materials and devices (5 papers). The work is most often cited by research in Materials Chemistry (3.0k citations), Structural Biology (57 citations), Electrical and Electronic Engineering (1.7k citations), Electronic, Optical and Magnetic Materials (498 citations) and Biomedical Engineering (863 citations). Chao‐Hui Yeh has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Po‐Wen Chiu, Yung‐Chang Lin, Kazu Suenaga, Chun‐Chieh Lu, Chuanhong Jin, Zheng-Yong Liang, Po-Yuan Teng, Zheng Liu, Ying‐Sheng Huang and Arkady V. Krasheninnikov. Their work appears in journals such as ACS Nano, ACS Applied Materials & Interfaces, Advanced Materials, Nature Communications and IEEE Transactions on Electron Devices.
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.