Dawei Ding
Impact in
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- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Neural Networks and Reservoir Computing
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- Quantum Mechanics and Applications
- Quantum and electron transport phenomena
- Quantum many-body systems
- Quantum optics and atomic interactions
Papers in
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- Quantum Information and Cryptography 12
- Quantum Computing Algorithms and Architecture 11
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- Quantum Mechanics and Applications 4
- Quantum and electron transport phenomena 2
- Co-authors
- Patrick Hayden (1 shared paper)Michael Walter (1 shared paper)Jianxin Chen (6 shared papers)Cupjin Huang (6 shared papers)Mark M. Wilde (3 shared papers)Dmitri S. Pavlichin (1 shared paper)Yaoyun Shi (3 shared papers)Xin Wang (1 shared paper)
- Journals
- IEEE Transactions on Information Theory (2 papers)Journal of High Energy Physics (1 paper)PRX Quantum (1 paper)Physical review. B. (1 paper)Physical review. A (1 paper)
- Partner nations
- United StatesChinaSpain
In The Last Decade
Dawei Ding
13 papers receiving 87 citations
Peers
Comparison fields: 5 of 15
- Artificial Intelligence 80
- Atomic and Molecular Physics, and Optics 58
- Computational Mathematics 1
- Statistical and Nonlinear Physics 10
- Computational Theory and Mathematics 11
Countries citing papers authored by Dawei Ding
This map shows the geographic impact of Dawei Ding'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 Dawei Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawei Ding more than expected).
Fields of papers citing papers by Dawei Ding
This network shows the impact of papers produced by Dawei Ding. 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 Dawei Ding. The network helps show where Dawei Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Dawei Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 24 | |
| 2 | 2023 | 15 | |
| 3 | 2023 | 9 | |
| 4 | 2018 | 8 | |
| 5 | 2022 | 7 | |
| 6 | 2021 | 5 | |
| 7 | 2023 | 4 | |
| 8 | 2018 | 4 | |
| 9 | 2024 | 3 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 3 | |
| 12 | 2021 | 2 | |
| 13 | 2019 | 1 | |
| 14 | 2020 | 0 |
About Dawei Ding
Dawei Ding is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 14 papers that have together received 88 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (12 papers), Quantum Computing Algorithms and Architecture (11 papers), Quantum Mechanics and Applications (4 papers), Quantum-Dot Cellular Automata (3 papers), Quantum and electron transport phenomena (2 papers), Neural Networks Stability and Synchronization (1 paper), scientometrics and bibliometrics research (1 paper) and Low-power high-performance VLSI design (1 paper). The work is most often cited by research in Artificial Intelligence (80 citations), Atomic and Molecular Physics, and Optics (58 citations), Computational Mathematics (1 citation), Statistical and Nonlinear Physics (10 citations) and Computational Theory and Mathematics (11 citations). Dawei Ding has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Patrick Hayden, Michael Walter, Jianxin Chen, Cupjin Huang, Mark M. Wilde, Dmitri S. Pavlichin, Yaoyun Shi, Xin Wang, Yihui Quek and Hui‐Hai Zhao. Their work appears in journals such as IEEE Transactions on Information Theory, Journal of High Energy Physics, PRX Quantum, Physical review. B. and Physical review. A.
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.