Dong-Ling Deng
Impact in
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- Quantum many-body systems
- Topological Materials and Phenomena
- Quantum and electron transport phenomena
- Quantum Mechanics and Non-Hermitian Physics
- Quantum Mechanics and Applications
- Cold Atom Physics and Bose-Einstein Condensates
- Computational Mathematics top 10%
Papers in
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- Quantum many-body systems 29
- Topological Materials and Phenomena 17
- Quantum and electron transport phenomena 13
- Quantum Mechanics and Applications 12
- Cold Atom Physics and Bose-Einstein Condensates 10
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- Quantum Computing Algorithms and Architecture 29
- Quantum Information and Cryptography 26
- Neural Networks and Reservoir Computing 4
Dong-Ling Deng
64 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Atomic and Molecular Physics, and Optics 1.3k
- Computational Mathematics 16
- Statistical and Nonlinear Physics 325
- Condensed Matter Physics 293
- Artificial Intelligence 800
Countries citing papers authored by Dong-Ling Deng
This map shows the geographic impact of Dong-Ling Deng'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 Dong-Ling Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong-Ling Deng more than expected).
Fields of papers citing papers by Dong-Ling Deng
This network shows the impact of papers produced by Dong-Ling Deng. 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 Dong-Ling Deng. The network helps show where Dong-Ling Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Dong-Ling Deng, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 14 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 10 | |
| 10 | 2022 | 32 | |
| 11 | 2021 | 24 | |
| 12 | 2021 | 21 | |
| 13 | 2021 | 31 | |
| 14 | 2021 | 6 | |
| 15 | 2021 | 63 | |
| 16 | 2020 | 62 | |
| 17 | 2019 | 61 | |
| 18 | 2019 | 40 | |
| 19 | 2013 | 7 | |
| 20 | Simple proof for the bounds of concurrence | 2008 | 1 |
About Dong-Ling Deng
Dong-Ling Deng is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Statistical and Nonlinear Physics, Structural Biology and Computational Theory and Mathematics, having authored 68 papers that have together received 1.8k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (29 papers), Quantum many-body systems (29 papers), Quantum Information and Cryptography (26 papers), Topological Materials and Phenomena (17 papers), Quantum and electron transport phenomena (13 papers), Quantum Mechanics and Applications (12 papers), Cold Atom Physics and Bose-Einstein Condensates (10 papers) and Neural Networks and Reservoir Computing (4 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.3k citations), Computational Mathematics (16 citations), Statistical and Nonlinear Physics (325 citations), Condensed Matter Physics (293 citations) and Artificial Intelligence (800 citations). Dong-Ling Deng has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include S. Das Sarma, Xiaopeng Li, Xiaopeng Li, Sheng-Tao Wang, L.-M. Duan, Weikang Li, Luming Duan, Li-Wei Yu, Sirui Lu and Chao Shen. Their work appears in journals such as Physical Review Letters, Physical review. B., npj Quantum Information, Physical Review Research 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.