Da Wei
Impact in
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- Quantum and electron transport phenomena
- Magnetic properties of thin films
- Semiconductor Quantum Structures and Devices
- Condensed Matter Physics top 10%
- Micro and Nano Robotics
Papers in
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- Magnetic properties of thin films 15
- Quantum and electron transport phenomena 7
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- Magnetic Properties and Applications 10
- Magnetic Properties of Alloys 7
- Co-authors
- Daniel Tam (6 shared papers)Guo‐Ping Guo (7 shared papers)Marie‐Eve Aubin‐Tam (6 shared papers)Guang‐Can Guo (6 shared papers)Gang Cao (6 shared papers)Ming Xiao (6 shared papers)Y. D. Yao (13 shared papers)Hai-Ou Li (5 shared papers)
- Journals
- Journal of Magnetism and Magnetic Materials (5 papers)Physical Review Letters (4 papers)IEEE Transactions on Magnetics (3 papers)Applied Physics Letters (2 papers)Biophysical Journal (2 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Da Wei
49 papers receiving 565 citations
Peers
Comparison fields: 5 of 86
- Atomic and Molecular Physics, and Optics 235
- Condensed Matter Physics 68
- Electronic, Optical and Magnetic Materials 66
- Materials Chemistry 132
- Artificial Intelligence 82
Countries citing papers authored by Da Wei
This map shows the geographic impact of Da Wei'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 Da Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Wei more than expected).
Fields of papers citing papers by Da Wei
This network shows the impact of papers produced by Da Wei. 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 Da Wei. The network helps show where Da Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Da Wei, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 70 | |
| 2 | 2015 | 65 | |
| 3 | 2015 | 47 | |
| 4 | 2004 | 30 | |
| 5 | 2018 | 24 | |
| 6 | 2011 | 23 | |
| 7 | 2021 | 20 | |
| 8 | 2013 | 20 | |
| 9 | 2019 | 20 | |
| 10 | 2019 | 19 | |
| 11 | 2021 | 19 | |
| 12 | 2016 | 17 | |
| 13 | 2022 | 13 | |
| 14 | 2020 | 13 | |
| 15 | 2023 | 12 | |
| 16 | 2013 | 12 | |
| 17 | 2005 | 11 | |
| 18 | 2014 | 11 | |
| 19 | 2018 | 11 | |
| 20 | 2007 | 9 |
About Da Wei
Da Wei is a scholar working on Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials, Materials Chemistry, Condensed Matter Physics and Biomedical Engineering, having authored 51 papers that have together received 572 indexed citations. Recurring topics across this work include Magnetic properties of thin films (15 papers), Magnetic Properties and Applications (10 papers), Micro and Nano Robotics (8 papers), Quantum and electron transport phenomena (7 papers), Magnetic Properties of Alloys (7 papers), Graphene research and applications (6 papers), Metallic Glasses and Amorphous Alloys (4 papers) and Soil Carbon and Nitrogen Dynamics (4 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (235 citations), Condensed Matter Physics (68 citations), Electronic, Optical and Magnetic Materials (66 citations), Materials Chemistry (132 citations) and Artificial Intelligence (82 citations). Da Wei has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Daniel Tam, Guo‐Ping Guo, Marie‐Eve Aubin‐Tam, Guang‐Can Guo, Gang Cao, Ming Xiao, Y. D. Yao, Hai-Ou Li, Guangwei Deng and T.S. Chin. Their work appears in journals such as Journal of Magnetism and Magnetic Materials, Physical Review Letters, IEEE Transactions on Magnetics, Applied Physics Letters and Biophysical Journal.
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.