Ming‐Ming Wang
Impact in
- Artificial Intelligence top 5%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
Papers in
-
- Quantum Information and Cryptography 28
- Quantum Computing Algorithms and Architecture 27
- Cryptography and Data Security 2
-
- Quantum Mechanics and Applications 21
- Quantum optics and atomic interactions 3
- Co-authors
- Zhiguo Qu (9 shared papers)Xiu‐Bo Chen (7 shared papers)Yixian Yang (7 shared papers)Jinguang Chen (4 shared papers)Wei Wang (1 shared paper)Ahmed Farouk (1 shared paper)Wei Wang (2 shared papers)Xiaojun Wang (3 shared papers)
In The Last Decade
Ming‐Ming Wang
43 papers receiving 448 citations
Peers
Comparison fields: 5 of 56
- Acoustics and Ultrasonics 9
- Artificial Intelligence 320
- Atomic and Molecular Physics, and Optics 284
- Computer Networks and Communications 47
- Cultural Studies 13
Countries citing papers authored by Ming‐Ming Wang
This map shows the geographic impact of Ming‐Ming Wang'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‐Ming Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Ming Wang more than expected).
Fields of papers citing papers by Ming‐Ming Wang
This network shows the impact of papers produced by Ming‐Ming Wang. 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‐Ming Wang. The network helps show where Ming‐Ming Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming‐Ming Wang, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 50 | |
| 2 | 2013 | 37 | |
| 3 | 2017 | 37 | |
| 4 | 2017 | 32 | |
| 5 | 1995 | 29 | |
| 6 | 2016 | 25 | |
| 7 | 2017 | 24 | |
| 8 | 2019 | 24 | |
| 9 | 2013 | 20 | |
| 10 | 2019 | 19 | |
| 11 | 2019 | 13 | |
| 12 | 2017 | 12 | |
| 13 | 2012 | 11 | |
| 14 | 2013 | 11 | |
| 15 | 2017 | 11 | |
| 16 | 2012 | 10 | |
| 17 | 2018 | 10 | |
| 18 | 2013 | 9 | |
| 19 | 2017 | 9 | |
| 20 | 2014 | 8 |
About Ming‐Ming Wang
Ming‐Ming Wang is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Sociology and Political Science, Computational Theory and Mathematics and Computer Networks and Communications, having authored 44 papers that have together received 467 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (28 papers), Quantum Computing Algorithms and Architecture (27 papers), Quantum Mechanics and Applications (21 papers), Quantum optics and atomic interactions (3 papers), Chinese history and philosophy (3 papers), Cryptography and Data Security (2 papers), Japanese History and Culture (2 papers) and Random lasers and scattering media (1 paper). The work is most often cited by research in Acoustics and Ultrasonics (9 citations), Artificial Intelligence (320 citations), Atomic and Molecular Physics, and Optics (284 citations), Computer Networks and Communications (47 citations) and Cultural Studies (13 citations). Ming‐Ming Wang has collaborated with scholars based in China, Ireland and Australia. Frequent co-authors include Zhiguo Qu, Xiu‐Bo Chen, Yixian Yang, Jinguang Chen, Wei Wang, Ahmed Farouk, Wei Wang, Xiaojun Wang, Le Sun and Lian-He Shao. Their work appears in journals such as Quantum Information Processing, Advanced Quantum Technologies, Physical Review A, Energy Conversion and Management and Frontiers in Plant Science.
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.