Ao Du
Impact in
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- Magnetic properties of thin films
- Quantum and electron transport phenomena
- Condensed Matter Physics top 10%
- Physics of Superconductivity and Magnetism
Papers in
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- Magnetic properties of thin films 16
- Topological Materials and Phenomena 4
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- Advanced Memory and Neural Computing 14
- Ferroelectric and Negative Capacitance Devices 11
- Co-authors
- Weisheng Zhao (23 shared papers)Kaihua Cao (15 shared papers)Wenlong Cai (12 shared papers)Kewen Shi (15 shared papers)Daoqian Zhu (12 shared papers)Danrong Xiong (5 shared papers)Zongxia Guo (5 shared papers)A. Fert (3 shared papers)
In The Last Decade
Ao Du
24 papers receiving 397 citations
Peers
Comparison fields: 5 of 30
- Atomic and Molecular Physics, and Optics 265
- Condensed Matter Physics 87
- Electronic, Optical and Magnetic Materials 110
- Electrical and Electronic Engineering 208
- Materials Chemistry 112
Countries citing papers authored by Ao Du
This map shows the geographic impact of Ao Du'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 Ao Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ao Du more than expected).
Fields of papers citing papers by Ao Du
This network shows the impact of papers produced by Ao Du. 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 Ao Du. The network helps show where Ao Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Ao Du, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 85 | |
| 2 | 2022 | 76 | |
| 3 | 2023 | 64 | |
| 4 | 2022 | 32 | |
| 5 | 2024 | 21 | |
| 6 | 2021 | 16 | |
| 7 | 2021 | 15 | |
| 8 | 2024 | 12 | |
| 9 | 2021 | 11 | |
| 10 | 2022 | 11 | |
| 11 | 2020 | 11 | |
| 12 | 2024 | 8 | |
| 13 | 2022 | 8 | |
| 14 | 2024 | 6 | |
| 15 | 2023 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2019 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2025 | 4 | |
| 20 | 2025 | 2 |
About Ao Du
Ao Du is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Materials Chemistry, Electronic, Optical and Magnetic Materials and Artificial Intelligence, having authored 30 papers that have together received 407 indexed citations. Recurring topics across this work include Magnetic properties of thin films (16 papers), Advanced Memory and Neural Computing (14 papers), Ferroelectric and Negative Capacitance Devices (11 papers), 2D Materials and Applications (6 papers), Multiferroics and related materials (5 papers), Topological Materials and Phenomena (4 papers), Magnetic and transport properties of perovskites and related materials (3 papers) and Neural Networks and Reservoir Computing (3 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (265 citations), Condensed Matter Physics (87 citations), Electronic, Optical and Magnetic Materials (110 citations), Electrical and Electronic Engineering (208 citations) and Materials Chemistry (112 citations). Ao Du has collaborated with scholars based in China, France and Japan. Frequent co-authors include Weisheng Zhao, Kaihua Cao, Wenlong Cai, Kewen Shi, Daoqian Zhu, Danrong Xiong, Zongxia Guo, A. Fert, Shiyang Lu and Dapeng Zhu. Their work appears in journals such as IEEE Electron Device Letters, Applied Physics Letters, Science China Physics Mechanics and Astronomy, Science Advances and Physical review. B..
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.