Chenyang Tu
Impact in
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- Crystal Structures and Properties
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- Luminescence Properties of Advanced Materials
- Solid-state spectroscopy and crystallography
Papers in
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- Topic Modeling 7
- Cryptographic Implementations and Security 7
- Security and Verification in Computing 6
- Advanced Graph Neural Networks 5
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- Physical Unclonable Functions (PUFs) and Hardware Security 10
- Co-authors
- Daniel Errandonea (5 shared papers)A. Segura (4 shared papers)Javier Ruiz‐Fuertes (4 shared papers)F. J. Manjón (3 shared papers)Alfonso Muñoz (3 shared papers)P. Rodríguez‐Hernández (3 shared papers)S. Radescu (2 shared papers)R. Lacomba-Perales (2 shared papers)
In The Last Decade
Chenyang Tu
34 papers receiving 510 citations
Peers
Comparison fields: 5 of 51
- Electronic, Optical and Magnetic Materials 156
- Materials Chemistry 339
- Geophysics 86
- Polymers and Plastics 87
- Condensed Matter Physics 67
Countries citing papers authored by Chenyang Tu
This map shows the geographic impact of Chenyang Tu'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 Chenyang Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenyang Tu more than expected).
Fields of papers citing papers by Chenyang Tu
This network shows the impact of papers produced by Chenyang Tu. 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 Chenyang Tu. The network helps show where Chenyang Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenyang Tu, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 118 | |
| 2 | 2008 | 88 | |
| 3 | 2008 | 71 | |
| 4 | 2010 | 67 | |
| 5 | 2011 | 58 | |
| 6 | 1991 | 20 | |
| 7 | 2006 | 18 | |
| 8 | 2022 | 13 | |
| 9 | 2006 | 8 | |
| 10 | 2017 | 6 | |
| 11 | 2016 | 4 | |
| 12 | 2021 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2014 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2019 | 3 | |
| 17 | 2017 | 3 | |
| 18 | 2019 | 3 | |
| 19 | 2017 | 2 | |
| 20 | 2018 | 2 |
About Chenyang Tu
Chenyang Tu is a scholar working on Artificial Intelligence, Hardware and Architecture, Computer Vision and Pattern Recognition, Materials Chemistry and Electrical and Electronic Engineering, having authored 38 papers that have together received 517 indexed citations. Recurring topics across this work include Physical Unclonable Functions (PUFs) and Hardware Security (10 papers), Topic Modeling (7 papers), Cryptographic Implementations and Security (7 papers), Luminescence Properties of Advanced Materials (6 papers), Security and Verification in Computing (6 papers), Advanced Graph Neural Networks (5 papers), Multimodal Machine Learning Applications (4 papers) and High-pressure geophysics and materials (4 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (156 citations), Materials Chemistry (339 citations), Geophysics (86 citations), Polymers and Plastics (87 citations) and Condensed Matter Physics (67 citations). Chenyang Tu has collaborated with scholars based in China, Spain and France. Frequent co-authors include Daniel Errandonea, A. Segura, Javier Ruiz‐Fuertes, F. J. Manjón, Alfonso Muñoz, P. Rodríguez‐Hernández, S. Radescu, R. Lacomba-Perales, N. Garro and A. Mújica. Their work appears in journals such as Physical Review B, Applied Physics B, Lecture notes in computer science, Chemistry of Materials and High Pressure Research.
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.