Ming Wei
Impact in
- Condensed Matter Physics top 10%
- Physics of Superconductivity and Magnetism
-
- Quantum and electron transport phenomena
- Topological Materials and Phenomena
- Quantum many-body systems
Papers in
-
- Quantum and electron transport phenomena 7
- Topological Materials and Phenomena 6
- Quantum many-body systems 2
- Co-authors
- Gleb Finkelstein (7 shared papers)Takashi Taniguchi (7 shared papers)François Amet (8 shared papers)Kenji Watanabe (7 shared papers)Ivan Valerievich Borzenets (6 shared papers)Wen Li (1 shared paper)Jiaan Liu (1 shared paper)Sirong Yu (1 shared paper)
- Journals
- Physical Review Research (3 papers)Nano Letters (2 papers)Physical review. B. (2 papers)Science Advances (1 paper)Physical Review Letters (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Ming Wei
18 papers receiving 305 citations
Peers
Comparison fields: 5 of 34
- Condensed Matter Physics 106
- Atomic and Molecular Physics, and Optics 210
- Materials Chemistry 95
- Ceramics and Composites 11
- Mechanical Engineering 37
Countries citing papers authored by Ming Wei
This map shows the geographic impact of Ming 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 Ming Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Wei more than expected).
Fields of papers citing papers by Ming Wei
This network shows the impact of papers produced by Ming 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 Ming Wei. The network helps show where Ming Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 74 | |
| 2 | 2016 | 73 | |
| 3 | 2007 | 37 | |
| 4 | 2019 | 33 | |
| 5 | 2021 | 25 | |
| 6 | 2022 | 19 | |
| 7 | 2020 | 13 | |
| 8 | 2021 | 7 | |
| 9 | 2024 | 6 | |
| 10 | 2019 | 4 | |
| 11 | 2019 | 4 | |
| 12 | 2003 | 4 | |
| 13 | 2020 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2018 | 1 | |
| 16 | 2008 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2012 | 1 | |
| 19 | 2002 | 0 | |
| 20 | 2020 | 0 |
About Ming Wei
Ming Wei is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics, Materials Chemistry, Signal Processing and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 307 indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (7 papers), Topological Materials and Phenomena (6 papers), Graphene research and applications (6 papers), Advanced Data Compression Techniques (2 papers), Energy Harvesting in Wireless Networks (2 papers), Quantum many-body systems (2 papers), Solar Radiation and Photovoltaics (2 papers) and Video Coding and Compression Technologies (2 papers). The work is most often cited by research in Condensed Matter Physics (106 citations), Atomic and Molecular Physics, and Optics (210 citations), Materials Chemistry (95 citations), Ceramics and Composites (11 citations) and Mechanical Engineering (37 citations). Ming Wei has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Gleb Finkelstein, Takashi Taniguchi, François Amet, Kenji Watanabe, Ivan Valerievich Borzenets, Wen Li, Jiaan Liu, Sirong Yu, Yanru Luo and Seigo Tarucha. Their work appears in journals such as Physical Review Research, Nano Letters, Physical review. B., Science Advances and Physical Review Letters.
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.